cslt Wiki - 用户贡献 [zh-cn]

Airadiance-2021-10

2022-06-09T14:32:49Z

Caiyq：/* list */

'''警告：'''“Airadiance-2021-10”指向这里，但您没有足够的权限来访问它。

Airadiance-2021-10

2022-06-09T14:30:34Z

Caiyq：/* list */

'''警告：'''“Airadiance-2021-10”指向这里，但您没有足够的权限来访问它。

Airadiance-2021-10

2022-06-09T14:25:25Z

Caiyq：/* list */

'''警告：'''“Airadiance-2021-10”指向这里，但您没有足够的权限来访问它。

Airadiance-2021-10

2022-06-09T14:25:08Z

Caiyq：/* list */

'''警告：'''“Airadiance-2021-10”指向这里，但您没有足够的权限来访问它。

2022-04-11

2022-04-11T10:51:19Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
* report and some application documents
||
*
||
*
|-

|-
|Lantian Li
||
* Push CNCSRC (refresh SOTA model)
* Complete Spoof overview
||
* Push CNCSRC
* PUFA project delivery
* Posdoc report
|-

|-
|Ying Shi
||
* Zeus/kws
** CNN ASR
** IBM Double AE
** THU energy model
** Google Rnn-t (in progress)
** QbE (in progress)
** 4 kaldi kws recipe(in progress)
||
* Verify CNN
* continue on zeus/kws
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Chen Chen
||
* update cycleflow website
* review unsupervised AVSR papers
||
* write review
||
*
|-

|-
|Pengqi Li
||
* paper's web and code
||
* project
||
*
|-

|-
|Weida Liang
||
* web and code for paper
* Presentation
||
*
||
*
|-

|-
|Zixi Yan
||
* Wav2vec paper review preparation
* Cos sim experimental data collation
||
*
||
*
|-

|-
|Sirui Li
||
*
||
*
||
*
|-

|-
|Haoyu Jiang
||
* Data preprocessing
* Learn the code for data loading
||
*
||
*
|-

|-
|Ruihai Hou
||
* continue the test on LSH
||
*
||
*
|-

|-
|Renmiao Chen
||
* do some work about OCR
||
* continue the task on OCR
* read papers
||
*
|-

2022-03-28

2022-03-28T10:58:28Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
* Interspeech refinement
* Keyword spotting review
||
* Keyword spotting review
||
*
|-

|-
|Yunqi Cai
||
* Reports writing
||
*
||
*
|-

|-
|Lantian Li
||
* Push CNCSRC
* INTERSPEECH 2022
||
* Push CNCSRC
* Spoof overview
* PUFA project delivery
|-

|-
|Ying Shi
||
* Continue work on Speech engrave (TXT convolution)
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Chen Chen
||
* Prepare ASR/OCR model for ICPRMSR
* Reading paper of lip2wav
||
* Review recent papers about Lip Reading & AVSR
* Prepare ASR/OCR model for ICPRMSR
||
*
|-

|-
|Pengqi Li
||
* INTERSPEECH
||
* code, homepage for paper
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
* Cos sim experiment of WAV2VEC feature and MFCC feature
||
*
||
*
|-

|-
|Sirui Li
||
* Dictionary generation for true and pseudo-labeled
||
* Downstream ASR Task
||
*
|-

|-
|Haoyu Jiang
||
* Test on SOTA model
* Learn score normalization
||
* Go on test
* Test with s-norm
||
*
|-

|-
|Ruihai Hou
||
* Build experiment environment on the server
* Extract embeddings of 2793 speakers
||
*
||
*
|-

|-
|Renmiao Chen
||
* weighted score fusion
* score-weight score fusion
* SNR-weight score fusion
||
* OCR
* layer-SNR-weight score fusion
* find some reseach about recognition in information incompleteness
||
*
|-

2022-03-21

2022-03-21T11:03:04Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
* Rewrite the TASLP RC paper
* Design new architecture for speech engrave
||
* Interspeech paper polishment
||
*
|-

|-
|Yunqi Cai
||
* continue proposals
||
*
||
*
|-

|-
|Lantian Li
||
* Push CNCSRC (Submission system and Leaderboard Open)
* PUFA project delivery [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=lilt&step=view_request&cvssid=832 cvss]
* Sunine update
||
* Push CNCSRC
* INTERSPEECH 2022
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
* experiments for cycle loss
* website of cycleflow
||
* paper
||
*
|-

|-
|Chen Chen
||
* Prepare weekly reading report
||
* Review Mandrain Lip Reading Datasets
||
*
|-

|-
|Pengqi Li
||
* more Experiments on visualization
||
* Interspeech
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
*
||
*
||
*
|-

|-
|Sirui Li
||
* Phoneme set discovery and dictionary generation
||
* dictionary generation and ASR task
||
*
|-

|-
|Haoyu Jiang
||
* Collecte SOTA pre-training model and test on AV-CN-Celeb
||
* Go on
||
*
|-

|-
|Ruihai Hou
||
*
||
*
||
*
|-

|-
|Renmiao Chen
||
* finished plda model
||
* test the SOTA model for face recognition
* explore the means to calculate the confidence of audio
* do some experiments for different confidence to fuse the audio and face
||
*
|-

}

2022-03-14

2022-03-14T10:51:32Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
* revise and submit NSFC project
||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
* Speech engrave with alignment
* Speech engrave with enhancement loss [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/61/Engrave_recover_result.pdf here]
||
* Continue work on speech engrave: Design more smart mask mechanisms
||
*
|-

|-
|Haoran Sun
||
* results of CycleVC [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/05/CycleVCd128.pdf pdf]
* tools for vc
||
* paper
||
*
|-

|-
|Chen Chen
||
* Prepare report of Lip Reading & AVSR
||
* Reproduce experiments of reviewed methods
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
* The WAV2VEC model trained by Librispeech dataset was used for Chinese Asr experiments
||
*
||
*
|-

|-
|Sirui Li
||
* Phoneme set discovery and dictionary generation
||
* Improve phoneme translation system
||
*
|-

|-
|Haoyu Jiang
||
*
||
*
||
*
|-

|-
|Ruihai Hou
||
* Test top-N and speed on binary embedding
||
* Prepare paper sharing
||
*
|-

|-
|Renmiao Chen
||
* redo for MI and CKA
* achieve dePLDA
||
* improve dePLDA
* do some experiment for score fusion
|-

|}

2022-03-07

2022-03-07T10:55:42Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
* Odyssey papers done
* Trans RC paper draft done
||
* More literature review for the Trans TC paper
||
*
|-

|-
|Yunqi Cai
||
*NSCF revising
||
*write popular science project
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
* the odyssey paper
* cycle and adversarial training on AutoVC [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/14/CycleVC.pdf pdf]
||
* CycleVC adjustment
* Cycle loss plus adversarial loss on AutoVC
* experiments for RC paper
||
*
|-

|-
|Chen Chen
||
* Review papers about lip-reading & audio-visual speech recognization
* Do experimrnts of AV-HuBERT
||
* Review papers about lip-reading & audio-visual speech recognization
* Try finetune & pretrain of AV-HuBERT
||
*
|-

|-
|Pengqi Li
||
* experiments on visualization
||
* check and restruct experiments
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
*
||
*
||
*
|-

|-
|Sirui Li
||
* Do experiments on MOSES system
||
* Prepare phrase-based MT training data
* train phrase-based MT
||
*
|-

|-
|Haoyu Jiang
||
* Finsh speaker recognition training on AV-CNCeleb
||
* Do face recognition training on AV-CNCeleb
||
*
|-

|-
|Ruihai Hou
||
* test binary embedding performance(mAP,speed) on speaker retrieval task
||
* do some tests on AE
||
*
|-

|-
|Renmiao Chen
||
* learn and try to use dePLDA
||
* finish task of dePLDA
* prepare for sharing
|-

|}

2022-03-07

2022-03-07T10:55:11Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
* Odyssey papers done
* Trans RC paper draft done
||
* More literature review for the Trans TC paper
||
*
|-

|-
|Yunqi Cai
||
*NSCF revising
||
*
||
*write popular science project
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
* the odyssey paper
* cycle and adversarial training on AutoVC [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/14/CycleVC.pdf pdf]
||
* CycleVC adjustment
* Cycle loss plus adversarial loss on AutoVC
* experiments for RC paper
||
*
|-

|-
|Chen Chen
||
* Review papers about lip-reading & audio-visual speech recognization
* Do experimrnts of AV-HuBERT
||
* Review papers about lip-reading & audio-visual speech recognization
* Try finetune & pretrain of AV-HuBERT
||
*
|-

|-
|Pengqi Li
||
* experiments on visualization
||
* check and restruct experiments
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
*
||
*
||
*
|-

|-
|Sirui Li
||
* Do experiments on MOSES system
||
* Prepare phrase-based MT training data
*
||
*
|-

|-
|Haoyu Jiang
||
* Finsh speaker recognition training on AV-CNCeleb
||
* Do face recognition training on AV-CNCeleb
||
*
|-

|-
|Ruihai Hou
||
* test binary embedding performance(mAP,speed) on speaker retrieval task
||
* do some tests on AE
||
*
|-

|-
|Renmiao Chen
||
* learn and try to use dePLDA
||
* finish task of dePLDA
* prepare for sharing
|-

|}

2022-03-07

2022-03-07T10:52:58Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
* Odyssey papers done
* Trans RC paper draft done
||
* More literature review for the Trans TC paper
||
*
|-

|-
|Yunqi Cai
||
*NSCF revising
||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
* the odyssey paper
* cycle and adversarial training on AutoVC [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/14/CycleVC.pdf pdf]
||
* CycleVC adjustment
* Cycle loss plus adversarial loss on AutoVC
* experiments for RC paper
||
*
|-

|-
|Chen Chen
||
* Review papers about lip-reading & audio-visual speech recognization
* Do experimrnts of AV-HuBERT
||
* Review papers about lip-reading & audio-visual speech recognization
* Try finetune & pretrain of AV-HuBERT
||
*
|-

|-
|Pengqi Li
||
* experiments on visualization
||
* check and restruct experiments
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
*
||
*
||
*
|-

|-
|Sirui Li
||
* Do experiments on MOSES system
||
*
||
*
|-

|-
|Haoyu Jiang
||
* Finsh speaker recognition training on AV-CNCeleb
||
* Do face recognition training on AV-CNCeleb
||
*
|-

|-
|Ruihai Hou
||
* test binary embedding performance(mAP,speed) on speaker retrieval task
||
* do some tests on AE
||
*
|-

|-
|Renmiao Chen
||
* learn and try to use dePLDA
||
* finish task of dePLDA
* prepare for sharing
|-

|}

2022-02-28

2022-02-28T09:50:54Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
* Investigation on IB/VC
* Odyssey paper
||
* Odyssey paper
||
*
|-

|-
|Yunqi Cai
||
*NCFS project
||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
*
||
*
||
*
|-

|-
|Sirui Li
||
*
||
*
||
*
|-

|-
|Haoyu Jiang
||
*
||
*
||
*
|-

|-
|Ruihai Hou
||
*
||
*
||
*
|-

|-
|Renmiao Chen
||
* test and adjust single-modality modal
||
* learn and use decoupled PLDA for cross-modal test
|-

|}

2022-02-21

2022-02-21T10:51:42Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
*NSFC Application
*Materials inverse design investigation
||
*
||
*
|-

|-
|Lantian Li
||
* Push CNCSRC (Data release and SR baseline)
* Submit Tencent AI Lab project
* Submit M2ASR concluding report
* Write ASVSpoof response
||
* Submit ASVSpoof response
* Finish Draft of C-P Map paper
||
*
|-

|-
|Ying Shi
||
* Speech engrave on overlap speech data
* M2ASR final report
||
* Speech engrave on overlap speech data
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Chen Chen
||
* Review papers about lip-reading & audio-visual speech recognization
* Prepare data & environment for experiments of AV-Hubert
||
* <-- keep doing these tasks
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Weida Liang
||
* 3~6 spk cycle loss models on wav2vec+seq2seq model
* Rewrite paper and focus on cycle loss
||
* Finish paper framework
* Push test on WER scoring
||
*
|-

|-
|Zixi Yan
||
* Multi-language W2V model features were used for ASR experiments and compared with traditional MFCC features
||
* Asr experiments on different layers of multilingual W2V model
||
*
|-

|-
|Sirui Li
||
* Make an experiment plan
* Read the HuBERT paper and code
||
* Finish the hubert-U framework
||
*
|-

|-
|Haoyu Jiang
||
*Find the baseline for CN-Celeb speaker identification
||
*Train this baseline and find more face recognition baseline
||
*
|-

|-
|Ruihai Hou
||
*
||
*
||
*
|-

|-
|Renmiao Chen
||
* Check CKA
||
*
|-

|}

2022-01-24

2022-01-24T10:03:52Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
* Reschedule the cycleFlow paper
* Keep on investigation for multi-modality information fusion
||
* Rewrite cycleFlow
||
*
|-

|-
|Yunqi Cai
||
*Investigate railway Bureau; the practical application scenario of intelligent inspection robot
*Prepare a report for Gusu Lab
||
* keep on intelligent sensor investigation
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
* investige forward attention [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=shiying&step=view_request&cvssid=829 here]
||
* continue on forward attention
||
*
|-

|-
|Haoran Sun
||
* some experiments on AutoVC [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/1c/Autovc.pdf pdf]
||
* more experiments for cycle loss
||
*
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
* study representation learning(self-supervised learning)
* Using mel-spectrum and standard softmax on small data, models are trained
* Data preprocessing
||
* Visualization on a small models(mel-spectrum & MFCC)
* Implement RELAX
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
*
||
*
||
*
|-

|-
|Sirui Li
||
*
||
*
||
*
|-

|-
|Haoyu Jiang
||
*
||
*
||
*
|-

|-
|Ruihai Hou
||
*
||
*
||
*
|-

|-
|Renmiao Chen
||
*
||
*
|-

|}

2022-01-17

2022-01-17T02:52:03Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
*Low-light image simulation and data preparation
*capsule network review
*Research plan guidance for interns
*Conceptual model of intelligent sensor
||
*
||
*
|-

|-
|Lantian Li
||
* Polish CNCSRC plan
* Write hard trials paper
||
* Finish hard trials paper
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
*
||
*
||
*
|-

|-
|Sirui Li
||
*
||
*
||
*
|-

|-
|Haoyu Jiang
||
*
||
*
||
*
|-

|-
|Ruihai Hou
||
*
||
*
||
*
|-

|-
|Renmiao Chen
||
*
||
*
|-

|}

2022-01-17

2022-01-17T02:51:18Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
*Low-light image simulation and data preparation
*capsule network review
*Research plan guidance for interns
||
*
||
*
|-

|-
|Lantian Li
||
* Polish CNCSRC plan
* Write hard trials paper
||
* Finish hard trials paper
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
*
||
*
||
*
|-

|-
|Sirui Li
||
*
||
*
||
*
|-

|-
|Haoyu Jiang
||
*
||
*
||
*
|-

|-
|Ruihai Hou
||
*
||
*
||
*
|-

|-
|Renmiao Chen
||
*
||
*
|-

|}

2022-01-10

2022-01-10T04:51:27Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
* Capsnet generative model investigation
||
*
||
*
|-

|-
|Lantian Li
||
* Push CNCSRC plan
* Make Real AM rebuttal
||
* Go on hard trials paper
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
*
||
*
||
*
|-

|-
|Sirui Li
||
*
||
*
||
*
|-

|-
|Haoyu Jiang
||
*
||
*
||
*
|-

|-
|Ruihai Hou
||
*
||
*
||
*
|-

|-
|Renmiao Chen
||
||
||
*
|-

|}

2021-12-27

2021-12-27T10:59:04Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
* Hard trails paper revised
* Investigate link between AE and flow in the linear case [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/91/Linear.png]
* Investigate audio visual pretraining
||
* Keep on neural PCA theory
||
*
|-

|-
|Yunqi Cai
||
* AE baseline
* Alignet & AE joint training for Infra to Visible domain transfer
* Gatenet for Visible and Infra latent code fusion [https://qw4sbuvrmj.feishu.cn/docs/doccnNaBy0EAyUTskPQvvN7kgWo]
||
*
||
*
|-

|-
|Lantian Li
||
* Plan CNCSRC stuffs.
* Maintain Sunine.
* Deliver projects.
* Modify patents.
||
* Go on Hard trials paper.
||
*
|-

|-
|Ying Shi
||
* m2asr Kirgiz check
||
* continue on speech engrave (text attend speech; HMM based attention)
||
*
|-

|-
|Haoran Sun
||
* some contrast experiment
||
* design the timbre encoder with a design similar to x-vector
* insert the new encoder into our four-encoder structure
||
*
|-

|-
|Chen Chen
||
* Do course project
* Organize Kirgiz data
||
* Do course project
* Prepare for stochastic process final exam
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
* Debug bugs encountered when using the fine-tuning model
||
*
||
*
|-

|-
|Sirui Li
||
* Adjust the parameters to use thchs30 training
||
*
||
*
|-

|-
|Haoyu Jiang
||
* Sampling out pictures compute FAR
||
*
||
*
|-

|-
|Ruihai Hou
||
*
||
*
||
*
|-

|-
|Renmiao Chen
||
* Do course project
||
* Do course project
* Prepare for stochastic process final exam
||
*
|-

|}

2021-12-27

2021-12-27T10:56:38Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
* Hard trails paper revised
* Investigate link between AE and flow in the linear case [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/91/Linear.png]
* Investigate audio visual pretraining
||
* Keep on neural PCA theory
||
*
|-

|-
|Yunqi Cai
||
* AE baseline
* Alignet & AE joint training for Infra to Visible domain transfer
* Gatenet for Visible and Infra latent code fusion
||
*
||
*
|-

|-
|Lantian Li
||
* Plan CNCSRC stuffs.
* Maintain Sunine.
* Deliver projects.
* Modify patents.
||
* Go on Hard trials paper.
||
*
|-

|-
|Ying Shi
||
* m2asr Kirgiz check
||
* continue on speech engrave (text attend speech; HMM based attention)
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Chen Chen
||
* Do course project
* Organize Kirgiz data
||
* Do course project
* Prepare for stochastic process final exam
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
* Debug bugs encountered when using the fine-tuning model
||
*
||
*
|-

|-
|Sirui Li
||
* Adjust the parameters to use thchs30 training
||
*
||
*
|-

|-
|Haoyu Jiang
||
* Sampling out pictures compute FAR
||
*
||
*
|-

|-
|Ruihai Hou
||
*
||
*
||
*
|-

|-
|Renmiao Chen
||
* Do course project
||
* Do course project
* Prepare for stochastic process final exam
||
*
|-

|}

2021-12-13

2021-12-13T10:52:59Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
* Spoof paper refined
* Start the hard trials paper
||
* Hard trials paper
||
*
|-

|-
|Yunqi Cai
||
* img fusion network construction
* infra experiments plan for interns
* bayesian optimization paper review
||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
* Test fncmd and speech engrave on huawei_cross_channel data [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/82/Speech_engrave_fncmd_huawei_cross.png here]
||
* Retrain speech engrave model(make speech engrave and fncmd are Comparable on far field test set)
** Huawei cross channel data
** Score margin
** Discriminative training
* Retrain fncmd model with huawei data.
||
*
|-

|-
|Haoran Sun
||
* some analysis on c-vector
* training processing of c-vector
||
* remove f0 decoder of c-vector
* a easier model with only content and speaker encoders based on long-short term assumption
||
*
|-

|-
|Chen Chen
||
* perform kmeans and pca on wav2vec result
* check GAN
||
* fix bug of uasr_model
||
*
|-

|-
|Pengqi Li
||
* Verifying the correctness of the a series of cam method
* reproduce the method of Layer-CAM on classification
||
* more experiment and analysis on this method
||
*
|-

|-
|Weida Liang
||
* Finish training for not-ever-seen speaker on baseline AE and cycle model
* Build the framework of wav2vec model
||
* Full test on baseline & cycle model
* More details need to be discussed on wav2vec model
||
*
|-

|-
|Zixi Yan
||
* Fine-tune the wav2vec model on dev-other
* Test the effect of Tibetan adjusted model
||
*
||
*
|-

|-
|Sirui Li
||
* Compare the effects of TIMIT and Tibetan fine-tune
||
* More comparative experiments
||
*
|-

|-
|Haoyu Jiang
||
*
||
*
||
*
|-

|-
|Ruihai Hou
||
*
||
*
||
*
|-

|-
|Renmiao Chen
||
*
||
*
||
*
|-

|}

2021-12-06

2021-12-05T13:02:40Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
*review papers about CQDs
*Verify the deconvolution of infrared and visible faces
*Verify infrared and visible image fusion based on GLOW model
*Arrange research plans for interns
||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Qingyang Zhu
||
*
||
*
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
*
||
*
||
*
|-

|-
|Sirui Li
||
*
||
*
||
*
|-

|-
|Haoyu Jiang
||
*
||
*
||
*
|-

|-
|Ruihai Hou
||
*
||
*
||
*
|-

|-
|Renmiao Chen
||
*
||
*
||
*
|-

|}

2021-11-29

2021-11-28T04:26:34Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
* Prepare frame alignment project plans for interns
* Intelligent infrared detector working platform
* CQDs infrared detector investigation
||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Qingyang Zhu
||
*
||
*
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
*
||
*
||
*
|-

|-
|Sirui Li
||
*
||
*
||
*
|-

|-
|Haoyu Jiang
||
*
||
*
||
*
|-

|-
|Ruihai Hou
||
*
||
*
||
*
|-

|-
|Renmiao Chen
||
*
||
*
||
*
|-

|}

2021-11-15

2021-11-15T09:37:09Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
* Completed THS2021 data preprocessing, image feature extraction, and baseline
||
*
||
*
|-

|-
|Lantian Li
||
* Complete hard trials paper v1.
||
*
||
* Go on preparing my defence.
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Qingyang Zhu
||
*
||
*
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
* Modify wav2vec-u gan network code and output intermediate results
* Training wav2vec2 model
||
*
||
*
|-

|-
|Sirui Li
||
*
||
*
||
*
|-

|-
|Haoyu Jiang
||
*
||
*
||
*
|-

|-
|Ruihai Hou
||
*
||
*
||
*
|-

|-
|Renmiao Chen
||
*
||
*
||
*
|-

|}

Airadiance-2021-10

2021-11-03T12:17:00Z

Caiyq：/* list */

'''警告：'''“Airadiance-2021-10”指向这里，但您没有足够的权限来访问它。

Airadiance-2021-10

2021-11-03T11:27:01Z

Caiyq：/* list */

'''警告：'''“Airadiance-2021-10”指向这里，但您没有足够的权限来访问它。

2021-11-01

2021-11-01T01:31:03Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
* Anti-spoof chapter
||
* Anti-spoof chapter
||
*
|-

|-
|Yunqi Cai
||
* THS dataset experiments and paper
||
*
||
*
|-

|-
|Lantian Li
||
* Submit CNC response
* Complete project deliveries
||
* Hard trials
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
* egs of thc30 base sunine
* reproduce bubble noise on speech recognition
||
* audio important maps based bubble noise on speaker recognition
||
*
|-

|-
|Qingyang Zhu
||
*
||
*
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|-
|Zixi Yan
||
* analyse reason of the problem of wav2vec-u in Tibetan
||
*
||
*
|-

|-
|Sirui Li
||
* Gan network training code
* Mongolian recording project
||
* Adjust Tibetan wav2vec-u parameters
||
*
|-

|-
|Haoyu Jiang
||
*
||
*
||
*
|-

|-
|Ruihai Hou
||
*
||
*
||
*
|-

|}

2021-10-25

2021-10-25T01:33:36Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
* Neural PCA paper
||
* Neural PCA paper
||
*
|-

|-
|Yunqi Cai
||
* THS2021 experiments
||
*
||
*
|-

|-
|Lantian Li
||
* CNC response
* Project delivery
||
* Hard trials paper
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
* audio important maps based mask
||
*
|-

|-
|Qingyang Zhu
||
*
||
*
||
*
|-

|-
|Weida Liang
||
* Publish the baseline test data on the website
* Realize the cycle-loss model
||
* More models with different layers and parameters need to be tested
* Test whether the current model is better than baseline
||
*
|-

|}

2021-10-18

2021-10-18T03:29:44Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
* Oral defense of Yunnan province infra project
* Collect and organize data & code of THS2021
||
*
||
*
|-

|-
|Lantian Li
||
* Response for CNC paper.
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Tiankai Zhi
||
*
||
*
||
*
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|-
|Jingxin Shen
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Qingyang Zhu
||
*
||
*
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|}

2021-10-18

2021-10-18T03:25:52Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
* Oral defense of Yunnan province infra project
||
*
||
*
|-

|-
|Lantian Li
||
* Response for CNC paper.
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Tiankai Zhi
||
*
||
*
||
*
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|-
|Jingxin Shen
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Qingyang Zhu
||
*
||
*
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|}

2021-10-11

2021-10-11T01:29:25Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
* ICASSP paper revision
* CycleFlow proof
||
* More formulation on noisy IB
||
*
|-

|-
|Yunqi Cai
||
* Infrared Project Defense
* THS2021 data and code summary
||
*
||
*
|-

|-
|Lantian Li
||
* Papers for ICASSP
||
* SpeCom and `hard trials'
||
*
|-

|-
|Ying Shi
||
* Attention-based KWS [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/00/Roc.png]
||
* continue on attention-based kws
||
*
|-

|-
|Haoran Sun
||
* paper for CycleFlow
||
* paper, website, code, presentation for CycleFlow
* more explorations
||
*
|-

|-
|Tiankai Zhi
||
*
||
*
||
*
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|-
|Jingxin Shen
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
*
||
*
||
*
|-

|-
|Qingyang Zhu
||
*
||
*
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|}

2021-09-06

2021-09-06T06:00:57Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
* NPCA for speech
||
* TASLP reply
||
*
|-

|-
|Yunqi Cai
||
*organize results and prepare reports
||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
* KWS
||
* Prepear ICASSP 2022
||
*
|-

|-
|Haoran Sun
||
* some experiments on improved speechflow
* audios for subjective evaluation
||
* continue
||
*
|-

|-
|Jiao Han
||
*
||
*
||
*
|-

|-
|Di Wang
||
* Complete cross-channel experiment doc.
* Data processing for CNC1.
||
* Data processing for CNC1 and CNC2.
||
*
|-

|-
|Tiankai Zhi
||
*
||
*
||
*
|-

|-
|Chen Chen
||
* attend graduate freshman lectures
* Install kaldi
||
* Install kaldi & run UASR
* attend graduate freshman lectures
||
*
|-

|-
|Jingxin Shen
||
* Thermal face experiment with DNF
||
*
||
*
|-

|-
|Pengqi Li
||
* study on visualization
||
* Complete baseline [808] Stage 1
||
*
|-

|-
|Qingyang Zhu
||
*
||
*
||
*
|-

|-
|Weida Liang
||
* Approach two accomplished
||
* Collect data and Build the project website
||
*
|-

|}

2021-08-30

2021-08-30T06:00:08Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-
|-
|Dong Wang
||
* Neural PCA experiments on FashionMNIST and kMNIST, [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=wangd&step=view_request&cvssid=830 link]
* Some variants of NPCA, in terms of sampling scheme, loss function, etc.
* Some work for thermal paper review
||
* TASLP paper response
* Continue the NPCA and paper review.
||
*
|-

|-
|Yunqi Cai
||
* TASLP paper experiments and response
* Thermal Speaking project
||
*
||
*
|-

|-
|Lantian Li
||
* Prepare multi-modal datasets of CN-Celeb.
* Monitor cvss 808 and 831.
||
* Paper of `Hard trials'
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
* emotion recognition on MSP-IMPROV
||
* subjective evaluation
||
*
|-

|-
|Jiao Han
||
*
||
*
||
*
|-

|-
|Di Wang
||
* Complete cross-channel experiment doc.
||
* Data processing for CNC1 and CNC2.
||
*
|-

|-
|Tiankai Zhi
||
*
||
*
||
*
|-

|-
|Chen Chen
||
* read paper about SN-net(two branchs DAE)
* attend graduate freshman lectures
||
* run UASR code
* attend graduate freshman lectures
||
*
|-

|-
|Jingxin Shen
||
*
||
*
||
*
|-

|-
|Pengqi Li
||
* Compare MAML and R-MAML on MiniImagenet for Fast Adaptation
||
* study of [808]
||
*
|-

|-
|Qingyang Zhu
||
*
||
*
||
*
|-

|-
|Weida Liang
||
*
||
*
||
*
|-

|}

2021-08-16

2021-08-16T05:49:12Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Study the way of estimate and improve disentanglement [ticket 827]
* Study how to squeeze variation to residual space [828]
* Keep on the thermal image face recognition review
||
* Keep on the thermal image face recognition review
||
*
|-

|-
|Yunqi Cai
||
*Application for infrared device project
*thermal speaking project
||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
* Reproduce the end to end keywords system
** Speech embedding model is in progress
||
* Query embedding
* Attention model + energy score
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Jiao Han
||
*
||
*
||
*
|-

|-
|Di Wang
||
* Paper of `Hard trials'
||
*
||
*
|-

|-
|Tiankai Zhi
||
*
||
*
||
*
|-

|-
|Chen Chen
||
* write sebase document
||
* write sebase document
* check-in DCCRN
||
*
|-

|-
|Jingxin Shen
||
* Check infrared data
||
* Keep on checking infrared data
||
*
|-
|-
|Pengqi Li
||
* Complete the simulation experiment
* Some Experiments on Huawei data
||
* Experiment on simulation data
||
*
|-

|}

2021-08-09

2021-08-09T05:51:55Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* ML book ppt refinement
||
* Review of thermal image
||
*
|-

|-
|Yunqi Cai
||
*Application for infrared device project
*thermal speaking project
||
*
||
*
|-

|-
|Lantian Li
||
* Fast exps on real margin (CNC: 11.45% -> 11.02%)
* Project stuffs
||
* Paper of `Hard trials'
||
*
|-

|-
|Ying Shi
||
* Qingyang's Bi-weekly report
* M2ASR stuff
||
* check zeus
* Speech Enhancement: attack DAE
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Jiao Han
||
*
||
*
||
*
|-

|-
|Di Wang
||
*
||
*
||
*
|-

|-
|Tiankai Zhi
||
*
||
*
||
*
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|-
|Jingxin Shen
||
* Checking infrared data
||
*
||
*
|-
|-
|Pengqi Li
||
* Organize preliminary simulation experiments
||
*
||
*
|-

|}

2021-08-02

2021-08-02T05:55:19Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
*Application for infrared device project and investigation
*thermal speaking project investigation
||
*
||
*
|-

|-
|Lantian Li
||
* Fast Exps on real margin
* Project stuffs
||
* Write Paper of `Hard trials'
||
*
|-

|-
|Ying Shi
||
* Mongolian paper
||
* check zues
* HUAWEI project
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Jiao Han
||
*
||
*
||
*
|-

|-
|Di Wang
||
* Verification experiments on different methods.
||
* Write hard trials paper.
||
*
|-

|-
|Tiankai Zhi
||
* Finished paper of Mongolian
||
* Experiment with infrared and vocal print
||
*
|-

|-
|Chen Chen
||
* Speech Enhancement Backbone v0.1
||
*
||
*
|-

|-
|Jingxin Shen
||
* Keep on checking infrared data
||
*
||
*
|-
|-
|Pengqi Li
||
* Simulation experiment study
||
*
||
*
|-

|}

2021-07-26

2021-07-26T06:01:23Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
*Baseline and project investigation
||
*
||
*
|-

|-
|Lantian Li
||
* Write APSIPA paper.
* Prepare technical reports for scientific award.
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|-
|Jiao Han
||
* Experiment of splicing DNF network to verify x-vector system.
||
*
||
*
|-

|-
|Di Wang
||
* Verification experiments on different methods
||
* Complete the experimental results
||
*
|-

|-
|Tiankai Zhi
||
* finish paper,and check infrared wav data
||
*
||
* 7.31
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|-
|Jingxin Shen
||
* Check infrared data
* Reproduce the code of thermal face recogonition
||
*
||
*
|-
|-
|Pengqi Li
||
* simulation experiment of Sine Wave Regression on MDT, MAML, DRT
||
* continue simulation experiment
||
*
|-
|}

2021-07-19

2021-07-19T06:01:55Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Completed designing speech filter approach
* Keep on reviewing thermal face recognition
||
* Keep on reviewing thermal face recognition
||
*
|-

|-
|Yunqi Cai
||
*Thermal face recogonition baseline
||
*Thermal face recogonition baseline
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
* Mongolian asr baseline
* Mongolian E2E model
||
* Mongolian paper
||
*
|-

|-
|Haoran Sun
||
* expriments and paper for emotion
||
* paper and code for emotion
* verify our conclusion with other emotion recognition models
||
*
|-

|-
|Jiao Han
||
* Prepared bi-weekly report and MG experiments.
||
* Experiments about splicing DNF networks to verify the system.
||
*
|-

|-
|Di Wang
||
* Baseline of dual channel validation experiments on public security system data
||
* Verification experiments on different methods
||
*
|-

|-
|Tiankai Zhi
||
* Mongolian database paper, experiments(GMM TDNN CTC)
||
*
||
* 2021.7.31
|-

|-
|Chen Chen
||
* Enhance-Evaluate pipeline(traditional methods)
||
* Enhance-Evaluate pipeline(NN-based methods)
||
* 2021.7.31
|-

|-
|Jingxin Shen
||
* Check infrared data
* Reproduce the SpeakingFaces code with our own infrared data set
||
*
||
*
|-
|-
|Pengqi Li
||
* Modified the code and make some experiment
* simulation experiment of Sine Wave Regression
||
* simulation experiment with DRT
||
*
|-
|}

2021-07-05

2021-07-05T06:00:40Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Review paper for thermal face recognition
||
* Continue the thermal review paper
||
*
|-

|-
|Yunqi Cai
||
*thermal face recognition dataset & baseline and paper review
||
*
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
* m2asr database
* mongolian asr baseline
||
* mongolian asr baseline
* zeus
||
*
|-

|-
|Haoran Sun
||
* presentation for information bottleneck
* baseline for emotion recognition
* removing content made SER much worse(0.577->0.3201)
* SER gets worse as speechflow training(0.4129->0.3209->0.3201)
||
* relationship between ASR and SER
* remove content or just content embedding
* influence of other factors
* try to disentangle emotion by speechflow
||
*
|-

|-
|Jiao Han
||
* Paper writing about MG exps for APSIPA.
||
* Complete the paper submission.
||
*
|-

|-
|Yang Zhang
||
*
||
*
||
*
|-

|-
|Di Wang
||
* The paper of dplda was submitted.
||
* Submit the "hard trials" paper on the APSIPA.
||
*
|-

|-
|Tiankai Zhi
||
* Mongolian ASR baseline ,and paper.
||
*
||
*
|-

|-
|Chen Chen
||
* Organize speech enhancement backbone(reading paper)
* Prepare the report about overview of speech enhancement
||
* Organize speech enhancement backbone(review & run code)
||
*
|-

|-
|Jingxin Shen
||
* Collect infrared data sets
||
* reproduce SpeakingFaces code
||
*
|-

|}

2021-06-14

2021-06-16T06:22:14Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* Completed TASLP paper response/modification
* Some investigation on joint PLDA
* Literature review of audio-visual multi-modal learning
* Literature review of infrared processing
* Some pre-consideration for audio visualization
||
* More investigation on infrared processing
* More consideration on audio visualization
||
*
|-

|-
|Yunqi Cai
||
*Paper review of ML and Materials science
*Intelligent infrared device funding application
||
*Infrared processing experiments
||
*
|-

|-
|Lantian Li
||
*
||
*
||
*
|-

|-
|Ying Shi
||
* HUAWEI project
* prepare zeus
||
* continue on HUAWEI project
||
*
|-

|-
|Haoran Sun
||
* change speed by speechflow
||
* change speed by fixed times
* find a suitable rhythm embedding for speed change
||
*
|-

|-
|Jiao Han
||
*
||
*
||
*
|-

|-
|Yang Zhang
||
*
||
*
||
*
|-

|-
|Di Wang
||
* Write the paper on hard trials.
||
* Analyze the results of trials evaluation activities.
||
*
|-

|-
|Tiankai Zhi
||
* Writing a paper on Tibetan speech synthesis (tacotron and deepvoice3)
* Audio to video synchronisation experiment
||
*
||
*
|-

|-
|Chen Chen
||
* Organize a list of methods for speech enhancement as baseline(s)
||
* Organize a list of methods for speech enhancement as baseline(s)
||
*
|-

|-
|Jingxin Shen
||
* Calculation recognition accuracy
||
* Replicate the paper results
||
*
|-

|}

2021-05-24

2021-05-24T04:43:58Z

Caiyq：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
*thermal to RGB image investigation
||
*
||
*
|-

|-
|Lantian Li
||
*
*
||
*
||
*
|-

|-
|Ying Shi
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
*
||
*
*
||
*
|-

|-
|Jiao Han
||
*
||
*
||
*
|-

|-
|Yang Zhang
||
* train some new models for future experiments and upload to thu cloud
||
* train more models with data augment and other loss functions
||
*
|-

|-
|Di Wang
||
*
||
*
||
*
|-

|-
|Tiankai Zhi
||
*
||
*
||
*
|-

|-
|Chen Chen
||
*
||
*
||
*
|-

|}

AI 100 QA

2021-05-17T07:46:46Z

Caiyq：

==已经回答的问题==

#AI-100-01-语音助手是怎么听懂人说话的？[https://mp.weixin.qq.com/s/c3MZiGx6dbldorKeLVgp9Q link]

#AI-100-01-语音助手是怎么听懂人说话的？[http://caiyq.cslt.org/ai100/pdf/AI-100-01-语音助手是怎么听懂人说话的.pdf pdf]
#AI-100-02-如何学习人工智能？[http://caiyq.cslt.org/ai100/pdf/AI-100-02-如何学习人工智能.pdf pdf]
#AI-100-03-未来人工智能会取代我们的工作吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-03-未来人工智能会取代我们的工作吗.pdf pdf]
#AI-100-04-什么是人工智能-v2？[http://caiyq.cslt.org/ai100/pdf/AI-100-04-什么是人工智能-v2.pdf pdf]
#AI-100-05-人工智能如何破解蛋白质之迷？[http://caiyq.cslt.org/ai100/pdf/AI-100-05-人工智能如何破解蛋白质之迷.pdf pdf]
#AI-100-06-嫦娥五号？[http://caiyq.cslt.org/ai100/pdf/AI-100-06-嫦娥五号.pdf pdf]
#AI-100-07-什么是图灵测试？[http://caiyq.cslt.org/ai100/pdf/AI-100-07-什么是图灵测试.pdf pdf]
#AI-100-08-人工智能如何帮助新药设计？[http://caiyq.cslt.org/ai100/pdf/AI-100-08-人工智能如何帮助新药设计.pdf pdf]
#AI-100-09-老人有必要学习人工智能吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-09-老人有必要学习人工智能吗.pdf pdf]
#AI-100-10-自动驾驶汽车撞人谁负责？[http://caiyq.cslt.org/ai100/pdf/AI-100-10-自动驾驶汽车撞人谁负责.pdf pdf]
#AI-100-11-其它专业向人工智能转行容易吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-11-其它专业向人工智能转行容易吗.pdf pdf]
#AI-100-12-人工智能能算命吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-12-人工智能能算命吗.pdf pdf]
#AI-100-13-人类的智能是如何产生的？[http://caiyq.cslt.org/ai100/pdf/AI-100-13-人类的智能是如何产生的.pdf pdf]
#AI-100-14-人工智能是机器人吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-14-人工智能是机器人吗.pdf pdf]
#AI-100-15-人工智能如何帮助人类利用风能？[http://caiyq.cslt.org/ai100/pdf/AI-100-15-人工智能如何帮助人类利用风能.pdf pdf]
#AI-100-16-如何描述人的思维？[http://caiyq.cslt.org/ai100/pdf/AI-100-16-如何描述人的思维.pdf pdf]
#AI-100-17-人类的智能有哪些？[http://caiyq.cslt.org/ai100/pdf/AI-100-17-人类的智能有哪些.pdf pdf]
#AI-100-18-机器如何辅助治疗黄斑病变？[http://caiyq.cslt.org/ai100/pdf/AI-100-18-机器如何辅助治疗黄斑病变.pdf pdf]
#AI-100-19-人工智能是大杂烩吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-19-人工智能是大杂烩吗.pdf pdf]
#AI-100-20-深度学习如何帮助化学家对化学反应分类？[http://caiyq.cslt.org/ai100/pdf/AI-100-20-深度学习如何帮助化学家对化学反应分类.pdf pdf]
#AI-100-21-学好人工智能必须学好数学吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-21-学好人工智能必须学好数学吗.pdf pdf]
#AI-100-22-中文屋子问题？[http://caiyq.cslt.org/ai100/pdf/AI-100-22-中文屋子问题.pdf pdf]
#AI-100-23-人工智能如何帮助开发癌症疫苗？[http://caiyq.cslt.org/ai100/pdf/AI-100-23-人工智能如何帮助开发癌症疫苗.pdf pdf]
#AI-100-24-人工智能如何预测新冠疫情？[http://caiyq.cslt.org/ai100/pdf/AI-100-24-人工智能如何预测新冠疫情.pdf pdf]
#AI-100-25-什么是遗传算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-25-什么是遗传算法.pdf pdf]
#AI-100-26-深度学习如何检测炭疽？[http://caiyq.cslt.org/ai100/pdf/AI-100-26-深度学习如何检测炭疽.pdf pdf]
#AI-100-27-什么是模拟退火算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-27-什么是模拟退火算法.pdf pdf]
#AI-100-28-机器学习如何发现生物拟态证据？[http://caiyq.cslt.org/ai100/pdf/AI-100-28-机器学习如何发现生物拟态证据.pdf pdf]
#AI-100-29-人工智能可以为天问一号做点什么？[http://caiyq.cslt.org/ai100/pdf/AI-100-29-人工智能可以为天问一号做点什么.pdf pdf]
#AI-100-30-AlphaGo和深蓝在算法上有什么不同？[http://caiyq.cslt.org/ai100/pdf/AI-100-30-AlphaGo和深蓝在算法上有什么不同.pdf pdf]
#AI-100-31-人工智能和机器学习是什么关系？[http://caiyq.cslt.org/ai100/pdf/AI-100-31-人工智能和机器学习是什么关系.pdf pdf]
#AI-100-32-AI如何为数学家出题？[http://caiyq.cslt.org/ai100/pdf/AI-100-32-AI如何为数学家出题.pdf pdf]
#AI-100-33-人工智能基础教育应如何开展？[http://caiyq.cslt.org/ai100/pdf/AI-100-33-人工智能基础教育应如何开展.pdf pdf]
#AI-100-34-机器学习有哪些主要方法？[http://caiyq.cslt.org/ai100/pdf/AI-100-34-机器学习有哪些主要方法.pdf pdf]
#AI-100-35-机器如何识别人脸？[http://caiyq.cslt.org/ai100/pdf/AI-100-35-机器如何识别人脸.pdf pdf]
#AI-100-36-深度学习如何合成蛋白质结构？[http://caiyq.cslt.org/ai100/pdf/AI-100-36-深度学习如何合成蛋白质结构.pdf pdf]
#AI-100-37-为什么说图灵是人工智能之父？[http://caiyq.cslt.org/ai100/pdf/AI-100-37-为什么说图灵是人工智能之父.pdf pdf]
#AI-100-38-达特茅斯会议讨论了哪些事情？[http://caiyq.cslt.org/ai100/pdf/AI-100-38-达特茅斯会议讨论了哪些事情.pdf pdf]
#AI-100-39-人工智能发展为什么充满曲折？[http://caiyq.cslt.org/ai100/pdf/AI-100-39-人工智能发展为什么充满曲折.pdf pdf]
#AI-100-40-什么是第三代人工智能？[http://caiyq.cslt.org/ai100/pdf/AI-100-40-什么是第三代人工智能.pdf pdf]
#AI-100-41-机器如何实现听音辨人？[http://caiyq.cslt.org/ai100/pdf/AI-100-41-机器如何实现听音辨人.pdf pdf]
#AI-100-42-神经网络如何模拟人耳听觉机制？[http://caiyq.cslt.org/ai100/pdf/AI-100-42-神经网络如何模拟人耳听觉机制.pdf pdf]
#AI-100-43-什么是专家系统？[http://caiyq.cslt.org/ai100/pdf/AI-100-43-什么是专家系统.pdf pdf]
#AI-100-44-alphago是如何战胜人类的？[http://caiyq.cslt.org/ai100/pdf/AI-100-44-alphago是如何战胜人类的.pdf pdf]
#AI-100-45-什么是α-β剪枝算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-45-什么是α-β剪枝算法.pdf pdf]
#AI-100-46-什么是BP算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-46-什么是BP算法.pdf pdf]
#AI-100-47-什么是人工神经网络？[http://caiyq.cslt.org/ai100/pdf/AI-100-47-什么是人工神经网络.pdf pdf]
#AI-100-48-什么是深度学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-48-什么是深度学习.pdf pdf]
#AI-100-49-什么是贝叶斯网络？[http://caiyq.cslt.org/ai100/pdf/AI-100-49-什么是贝叶斯网络.pdf pdf]
#AI-100-50-扫地机器人是如何工作的？[http://caiyq.cslt.org/ai100/pdf/AI-100-50-扫地机器人是如何工作的.pdf pdf]
#AI-100-51-搜索引擎是如何快速找到相关内容的？[http://caiyq.cslt.org/ai100/pdf/AI-100-51-搜索引擎是如何快速找到相关内容的.pdf pdf]
#AI-100-52-搜索引擎是如何判断网页的重要性的？[http://caiyq.cslt.org/ai100/pdf/AI-100-52-搜索引擎是如何判断网页的重要性的.pdf pdf]
#AI-100-53-什么是用户点击模型？[http://caiyq.cslt.org/ai100/pdf/AI-100-53-什么是用户点击模型.pdf pdf]
#AI-100-54-AlphaGo-Zero是如何从零学习的？[http://caiyq.cslt.org/ai100/pdf/AI-100-54-AlphaGo-Zero是如何从零学习的.pdf pdf]
#AI-100-55-机器如何实现定理证明？[http://caiyq.cslt.org/ai100/pdf/AI-100-55-机器如何实现定理证明.pdf pdf]
#AI-100-56-什么是知识图谱？[http://caiyq.cslt.org/ai100/pdf/AI-100-56-什么是知识图谱.pdf pdf]
#AI-100-57-机器人是如何动作的？[http://caiyq.cslt.org/ai100/pdf/AI-100-57-机器人是如何动作的.pdf pdf]
#AI-100-58-机器翻译的原理是什么？[http://caiyq.cslt.org/ai100/pdf/AI-100-58-机器翻译的原理是什么.pdf pdf]
#AI-100-59-深度学习如何帮助自动轻驶？[http://caiyq.cslt.org/ai100/pdf/AI-100-59-深度学习如何帮助自动轻驶.pdf pdf]
#AI-100-60-人工智能如何杀熟？[http://caiyq.cslt.org/ai100/pdf/AI-100-60-人工智能如何杀熟.pdf pdf]
#AI-100-61-什么是维度灾难？[http://caiyq.cslt.org/ai100/pdf/AI-100-61-什么是维度灾难.pdf pdf]
#AI-100-62-什么是奥卡姆剃刀准则？[http://caiyq.cslt.org/ai100/pdf/AI-100-62-什么是奥卡姆剃刀准则.pdf pdf]
#AI-100-63-甜美的导航声音是如何产生的？[http://caiyq.cslt.org/ai100/pdf/AI-100-63-甜美的导航声音是如何产生的.pdf pdf]
#AI-100-64-导航背后的人工智能？[http://caiyq.cslt.org/ai100/pdf/AI-100-64-导航背后的人工智能.pdf pdf]
#AI-100-65-能够合成子女照片吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-65-能够合成子女照片吗.pdf pdf]
#AI-100-66-机器如何理解人的语言？[http://caiyq.cslt.org/ai100/pdf/AI-100-66-机器如何理解人的语言.pdf pdf]
#AI-100-67-什么是贝叶斯公式？[http://caiyq.cslt.org/ai100/pdf/AI-100-67-什么是贝叶斯公式.pdf pdf]
#AI-100-68-AI如何帮你回忆年轻的模样？[http://caiyq.cslt.org/ai100/pdf/AI-100-68-AI如何帮你回忆年轻的模样.pdf pdf]
#AI-100-69-机器如何成为油画大师？[http://caiyq.cslt.org/ai100/pdf/AI-100-69-机器如何成为油画大师.pdf pdf]
#AI-100-70-机器如何成为诗人？[http://caiyq.cslt.org/ai100/pdf/AI-100-70-机器如何成为诗人.pdf pdf]
#AI-100-71-监督学习和无监督学习有什么区别？[http://caiyq.cslt.org/ai100/pdf/AI-100-71-监督学习和无监督学习有什么区别.pdf pdf]
#AI-100-72-如何从语音中判断人的情绪？[http://caiyq.cslt.org/ai100/pdf/AI-100-72-如何从语音中判断人的情绪.pdf pdf]
#AI-100-73-为什么说数据是人工智能的粮食？[http://caiyq.cslt.org/ai100/pdf/AI-100-73-为什么说数据是人工智能的粮食.pdf pdf]
#AI-100-74-什么是A星算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-74-什么是A星算法.pdf pdf]
#AI-100-75-四库全书是如何数字化的？[http://caiyq.cslt.org/ai100/pdf/AI-100-75-四库全书是如何数字化的.pdf pdf]
#AI-100-76-计算机如何谱曲？[http://caiyq.cslt.org/ai100/pdf/AI-100-76-计算机如何谱曲.pdf pdf]
#AI-100-77-什么是对抗样本？[http://caiyq.cslt.org/ai100/pdf/AI-100-77-什么是对抗样本.pdf pdf]
#AI-100-78-什么是迁移学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-78-什么是迁移学习.pdf pdf]
#AI-100-79-什么是支持向量机？[http://caiyq.cslt.org/ai100/pdf/AI-100-79-什么是支持向量机.pdf pdf]
#AI-100-80-AI如何为你美颜？[http://caiyq.cslt.org/ai100/pdf/AI-100-80-AI如何为你美颜.pdf pdf]
#AI-100-81-深度学习如何帮助物理学家重构物质三维结构？[http://caiyq.cslt.org/ai100/pdf/AI-100-81-深度学习如何帮助物理学家重构物质三维结构.pdf pdf]
#AI-100-82-机器如何学会打游戏？[http://caiyq.cslt.org/ai100/pdf/AI-100-82-机器如何学会打游戏.pdf pdf]
#AI-100-83-机器学习如何帮助天文学家检测望远镜问题？[http://caiyq.cslt.org/ai100/pdf/AI-100-83-机器学习如何帮助天文学家检测望远镜问题.pdf pdf]
#AI-100-84-机器人三定律能保护人类吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-84-机器人三定律能保护人类吗.pdf pdf]
#AI-100-85-机器如何写小说？[http://caiyq.cslt.org/ai100/pdf/AI-100-85-机器如何写小说.pdf pdf]
#AI-100-86-人工智能如何帮助司法审讯？[http://caiyq.cslt.org/ai100/pdf/AI-100-86-人工智能如何帮助司法审讯.pdf pdf]
#AI-100-87-机器如何做梦？[http://caiyq.cslt.org/ai100/pdf/AI-100-87-机器如何做梦.pdf pdf]
#AI-100-88-机器会产生人一样创新能力吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-88-机器会产生人一样创新能力吗.pdf pdf]
#AI-100-89-什么流形学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-89-什么流形学习.pdf pdf]
#AI-100-90-什么是聚类？[http://caiyq.cslt.org/ai100/pdf/AI-100-90-什么是聚类.pdf pdf]
#AI-100-91-语音助手为什么老说？[http://caiyq.cslt.org/ai100/pdf/AI-100-91-语音助手为什么老说.pdf pdf]
#AI-100-92-机器如何像蝙蝠一样听声辨位？[http://caiyq.cslt.org/ai100/pdf/AI-100-92-机器如何像蝙蝠一样听声辨位.pdf pdf]
#AI-100-93-机器学习里有哪些分类模型？[http://caiyq.cslt.org/ai100/pdf/AI-100-93-机器学习里有哪些分类模型.pdf pdf]
#AI-100-94-机器学习里有哪些回归模型？[http://caiyq.cslt.org/ai100/pdf/AI-100-94-机器学习里有哪些回归模型.pdf pdf]
#AI-100-95-什么是邱奇？[http://caiyq.cslt.org/ai100/pdf/AI-100-95-什么是邱奇.pdf pdf]
#AI-100-96-人脸识别有哪些风险？[http://caiyq.cslt.org/ai100/pdf/AI-100-96-人脸识别有哪些风险.pdf pdf]
#AI-100-97-什么是人机协同学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-97-什么是人机协同学习.pdf pdf]
#AI-100-98-机器学习如何帮助生物学家提高显微图像质量？[http://caiyq.cslt.org/ai100/pdf/AI-100-98-机器学习如何帮助生物学家提高显微图像质量.pdf pdf]
#AI-100-99-深度伪造？[http://caiyq.cslt.org/ai100/pdf/AI-100-99-深度伪造.pdf pdf]
#AI-100-100-浅谈车牌识别？[http://caiyq.cslt.org/ai100/pdf/AI-100-100-浅谈车牌识别.pdf pdf]

[[文件:人工智能课程指南.png]]

AI 100 QA

2021-05-17T03:17:16Z

Caiyq：/* 已经回答的问题 */

==已经回答的问题==
#AI-100-01-语音助手是怎么听懂人说话的？[http://caiyq.cslt.org/ai100/pdf/AI-100-01-语音助手是怎么听懂人说话的.pdf pdf]
#AI-100-02-如何学习人工智能？[http://caiyq.cslt.org/ai100/pdf/AI-100-02-如何学习人工智能.pdf pdf]
#AI-100-03-未来人工智能会取代我们的工作吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-03-未来人工智能会取代我们的工作吗.pdf pdf]
#AI-100-04-什么是人工智能-v2？[http://caiyq.cslt.org/ai100/pdf/AI-100-04-什么是人工智能-v2.pdf pdf]
#AI-100-05-人工智能如何破解蛋白质之迷？[http://caiyq.cslt.org/ai100/pdf/AI-100-05-人工智能如何破解蛋白质之迷.pdf pdf]
#AI-100-06-嫦娥五号？[http://caiyq.cslt.org/ai100/pdf/AI-100-06-嫦娥五号.pdf pdf]
#AI-100-07-什么是图灵测试？[http://caiyq.cslt.org/ai100/pdf/AI-100-07-什么是图灵测试.pdf pdf]
#AI-100-08-人工智能如何帮助新药设计？[http://caiyq.cslt.org/ai100/pdf/AI-100-08-人工智能如何帮助新药设计.pdf pdf]
#AI-100-09-老人有必要学习人工智能吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-09-老人有必要学习人工智能吗.pdf pdf]
#AI-100-10-自动驾驶汽车撞人谁负责？[http://caiyq.cslt.org/ai100/pdf/AI-100-10-自动驾驶汽车撞人谁负责.pdf pdf]
#AI-100-11-其它专业向人工智能转行容易吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-11-其它专业向人工智能转行容易吗.pdf pdf]
#AI-100-12-人工智能能算命吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-12-人工智能能算命吗.pdf pdf]
#AI-100-13-人类的智能是如何产生的？[http://caiyq.cslt.org/ai100/pdf/AI-100-13-人类的智能是如何产生的.pdf pdf]
#AI-100-14-人工智能是机器人吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-14-人工智能是机器人吗.pdf pdf]
#AI-100-15-人工智能如何帮助人类利用风能？[http://caiyq.cslt.org/ai100/pdf/AI-100-15-人工智能如何帮助人类利用风能.pdf pdf]
#AI-100-16-如何描述人的思维？[http://caiyq.cslt.org/ai100/pdf/AI-100-16-如何描述人的思维.pdf pdf]
#AI-100-17-人类的智能有哪些？[http://caiyq.cslt.org/ai100/pdf/AI-100-17-人类的智能有哪些.pdf pdf]
#AI-100-18-机器如何辅助治疗黄斑病变？[http://caiyq.cslt.org/ai100/pdf/AI-100-18-机器如何辅助治疗黄斑病变.pdf pdf]
#AI-100-19-人工智能是大杂烩吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-19-人工智能是大杂烩吗.pdf pdf]
#AI-100-20-深度学习如何帮助化学家对化学反应分类？[http://caiyq.cslt.org/ai100/pdf/AI-100-20-深度学习如何帮助化学家对化学反应分类.pdf pdf]
#AI-100-21-学好人工智能必须学好数学吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-21-学好人工智能必须学好数学吗.pdf pdf]
#AI-100-22-中文屋子问题？[http://caiyq.cslt.org/ai100/pdf/AI-100-22-中文屋子问题.pdf pdf]
#AI-100-23-人工智能如何帮助开发癌症疫苗？[http://caiyq.cslt.org/ai100/pdf/AI-100-23-人工智能如何帮助开发癌症疫苗.pdf pdf]
#AI-100-24-人工智能如何预测新冠疫情？[http://caiyq.cslt.org/ai100/pdf/AI-100-24-人工智能如何预测新冠疫情.pdf pdf]
#AI-100-25-什么是遗传算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-25-什么是遗传算法.pdf pdf]
#AI-100-26-深度学习如何检测炭疽？[http://caiyq.cslt.org/ai100/pdf/AI-100-26-深度学习如何检测炭疽.pdf pdf]
#AI-100-27-什么是模拟退火算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-27-什么是模拟退火算法.pdf pdf]
#AI-100-28-机器学习如何发现生物拟态证据？[http://caiyq.cslt.org/ai100/pdf/AI-100-28-机器学习如何发现生物拟态证据.pdf pdf]
#AI-100-29-人工智能可以为天问一号做点什么？[http://caiyq.cslt.org/ai100/pdf/AI-100-29-人工智能可以为天问一号做点什么.pdf pdf]
#AI-100-30-AlphaGo和深蓝在算法上有什么不同？[http://caiyq.cslt.org/ai100/pdf/AI-100-30-AlphaGo和深蓝在算法上有什么不同.pdf pdf]
#AI-100-31-人工智能和机器学习是什么关系？[http://caiyq.cslt.org/ai100/pdf/AI-100-31-人工智能和机器学习是什么关系.pdf pdf]
#AI-100-32-AI如何为数学家出题？[http://caiyq.cslt.org/ai100/pdf/AI-100-32-AI如何为数学家出题.pdf pdf]
#AI-100-33-人工智能基础教育应如何开展？[http://caiyq.cslt.org/ai100/pdf/AI-100-33-人工智能基础教育应如何开展.pdf pdf]
#AI-100-34-机器学习有哪些主要方法？[http://caiyq.cslt.org/ai100/pdf/AI-100-34-机器学习有哪些主要方法.pdf pdf]
#AI-100-35-机器如何识别人脸？[http://caiyq.cslt.org/ai100/pdf/AI-100-35-机器如何识别人脸.pdf pdf]
#AI-100-36-深度学习如何合成蛋白质结构？[http://caiyq.cslt.org/ai100/pdf/AI-100-36-深度学习如何合成蛋白质结构.pdf pdf]
#AI-100-37-为什么说图灵是人工智能之父？[http://caiyq.cslt.org/ai100/pdf/AI-100-37-为什么说图灵是人工智能之父.pdf pdf]
#AI-100-38-达特茅斯会议讨论了哪些事情？[http://caiyq.cslt.org/ai100/pdf/AI-100-38-达特茅斯会议讨论了哪些事情.pdf pdf]
#AI-100-39-人工智能发展为什么充满曲折？[http://caiyq.cslt.org/ai100/pdf/AI-100-39-人工智能发展为什么充满曲折.pdf pdf]
#AI-100-40-什么是第三代人工智能？[http://caiyq.cslt.org/ai100/pdf/AI-100-40-什么是第三代人工智能.pdf pdf]
#AI-100-41-机器如何实现听音辨人？[http://caiyq.cslt.org/ai100/pdf/AI-100-41-机器如何实现听音辨人.pdf pdf]
#AI-100-42-神经网络如何模拟人耳听觉机制？[http://caiyq.cslt.org/ai100/pdf/AI-100-42-神经网络如何模拟人耳听觉机制.pdf pdf]
#AI-100-43-什么是专家系统？[http://caiyq.cslt.org/ai100/pdf/AI-100-43-什么是专家系统.pdf pdf]
#AI-100-44-alphago是如何战胜人类的？[http://caiyq.cslt.org/ai100/pdf/AI-100-44-alphago是如何战胜人类的.pdf pdf]
#AI-100-45-什么是α-β剪枝算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-45-什么是α-β剪枝算法.pdf pdf]
#AI-100-46-什么是BP算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-46-什么是BP算法.pdf pdf]
#AI-100-47-什么是人工神经网络？[http://caiyq.cslt.org/ai100/pdf/AI-100-47-什么是人工神经网络.pdf pdf]
#AI-100-48-什么是深度学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-48-什么是深度学习.pdf pdf]
#AI-100-49-什么是贝叶斯网络？[http://caiyq.cslt.org/ai100/pdf/AI-100-49-什么是贝叶斯网络.pdf pdf]
#AI-100-50-扫地机器人是如何工作的？[http://caiyq.cslt.org/ai100/pdf/AI-100-50-扫地机器人是如何工作的.pdf pdf]
#AI-100-51-搜索引擎是如何快速找到相关内容的？[http://caiyq.cslt.org/ai100/pdf/AI-100-51-搜索引擎是如何快速找到相关内容的.pdf pdf]
#AI-100-52-搜索引擎是如何判断网页的重要性的？[http://caiyq.cslt.org/ai100/pdf/AI-100-52-搜索引擎是如何判断网页的重要性的.pdf pdf]
#AI-100-53-什么是用户点击模型？[http://caiyq.cslt.org/ai100/pdf/AI-100-53-什么是用户点击模型.pdf pdf]
#AI-100-54-AlphaGo-Zero是如何从零学习的？[http://caiyq.cslt.org/ai100/pdf/AI-100-54-AlphaGo-Zero是如何从零学习的.pdf pdf]
#AI-100-55-机器如何实现定理证明？[http://caiyq.cslt.org/ai100/pdf/AI-100-55-机器如何实现定理证明.pdf pdf]
#AI-100-56-什么是知识图谱？[http://caiyq.cslt.org/ai100/pdf/AI-100-56-什么是知识图谱.pdf pdf]
#AI-100-57-机器人是如何动作的？[http://caiyq.cslt.org/ai100/pdf/AI-100-57-机器人是如何动作的.pdf pdf]
#AI-100-58-机器翻译的原理是什么？[http://caiyq.cslt.org/ai100/pdf/AI-100-58-机器翻译的原理是什么.pdf pdf]
#AI-100-59-深度学习如何帮助自动轻驶？[http://caiyq.cslt.org/ai100/pdf/AI-100-59-深度学习如何帮助自动轻驶.pdf pdf]
#AI-100-60-人工智能如何杀熟？[http://caiyq.cslt.org/ai100/pdf/AI-100-60-人工智能如何杀熟.pdf pdf]
#AI-100-61-什么是维度灾难？[http://caiyq.cslt.org/ai100/pdf/AI-100-61-什么是维度灾难.pdf pdf]
#AI-100-62-什么是奥卡姆剃刀准则？[http://caiyq.cslt.org/ai100/pdf/AI-100-62-什么是奥卡姆剃刀准则.pdf pdf]
#AI-100-63-甜美的导航声音是如何产生的？[http://caiyq.cslt.org/ai100/pdf/AI-100-63-甜美的导航声音是如何产生的.pdf pdf]
#AI-100-64-导航背后的人工智能？[http://caiyq.cslt.org/ai100/pdf/AI-100-64-导航背后的人工智能.pdf pdf]
#AI-100-65-能够合成子女照片吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-65-能够合成子女照片吗.pdf pdf]
#AI-100-66-机器如何理解人的语言？[http://caiyq.cslt.org/ai100/pdf/AI-100-66-机器如何理解人的语言.pdf pdf]
#AI-100-67-什么是贝叶斯公式？[http://caiyq.cslt.org/ai100/pdf/AI-100-67-什么是贝叶斯公式.pdf pdf]
#AI-100-68-AI如何帮你回忆年轻的模样？[http://caiyq.cslt.org/ai100/pdf/AI-100-68-AI如何帮你回忆年轻的模样.pdf pdf]
#AI-100-69-机器如何成为油画大师？[http://caiyq.cslt.org/ai100/pdf/AI-100-69-机器如何成为油画大师.pdf pdf]
#AI-100-70-机器如何成为诗人？[http://caiyq.cslt.org/ai100/pdf/AI-100-70-机器如何成为诗人.pdf pdf]
#AI-100-71-监督学习和无监督学习有什么区别？[http://caiyq.cslt.org/ai100/pdf/AI-100-71-监督学习和无监督学习有什么区别.pdf pdf]
#AI-100-72-如何从语音中判断人的情绪？[http://caiyq.cslt.org/ai100/pdf/AI-100-72-如何从语音中判断人的情绪.pdf pdf]
#AI-100-73-为什么说数据是人工智能的粮食？[http://caiyq.cslt.org/ai100/pdf/AI-100-73-为什么说数据是人工智能的粮食.pdf pdf]
#AI-100-74-什么是A星算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-74-什么是A星算法.pdf pdf]
#AI-100-75-四库全书是如何数字化的？[http://caiyq.cslt.org/ai100/pdf/AI-100-75-四库全书是如何数字化的.pdf pdf]
#AI-100-76-计算机如何谱曲？[http://caiyq.cslt.org/ai100/pdf/AI-100-76-计算机如何谱曲.pdf pdf]
#AI-100-77-什么是对抗样本？[http://caiyq.cslt.org/ai100/pdf/AI-100-77-什么是对抗样本.pdf pdf]
#AI-100-78-什么是迁移学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-78-什么是迁移学习.pdf pdf]
#AI-100-79-什么是支持向量机？[http://caiyq.cslt.org/ai100/pdf/AI-100-79-什么是支持向量机.pdf pdf]
#AI-100-80-AI如何为你美颜？[http://caiyq.cslt.org/ai100/pdf/AI-100-80-AI如何为你美颜.pdf pdf]
#AI-100-81-深度学习如何帮助物理学家重构物质三维结构？[http://caiyq.cslt.org/ai100/pdf/AI-100-81-深度学习如何帮助物理学家重构物质三维结构.pdf pdf]
#AI-100-82-机器如何学会打游戏？[http://caiyq.cslt.org/ai100/pdf/AI-100-82-机器如何学会打游戏.pdf pdf]
#AI-100-83-机器学习如何帮助天文学家检测望远镜问题？[http://caiyq.cslt.org/ai100/pdf/AI-100-83-机器学习如何帮助天文学家检测望远镜问题.pdf pdf]
#AI-100-84-机器人三定律能保护人类吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-84-机器人三定律能保护人类吗.pdf pdf]
#AI-100-85-机器如何写小说？[http://caiyq.cslt.org/ai100/pdf/AI-100-85-机器如何写小说.pdf pdf]
#AI-100-86-人工智能如何帮助司法审讯？[http://caiyq.cslt.org/ai100/pdf/AI-100-86-人工智能如何帮助司法审讯.pdf pdf]
#AI-100-87-机器如何做梦？[http://caiyq.cslt.org/ai100/pdf/AI-100-87-机器如何做梦.pdf pdf]
#AI-100-88-机器会产生人一样创新能力吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-88-机器会产生人一样创新能力吗.pdf pdf]
#AI-100-89-什么流形学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-89-什么流形学习.pdf pdf]
#AI-100-90-什么是聚类？[http://caiyq.cslt.org/ai100/pdf/AI-100-90-什么是聚类.pdf pdf]
#AI-100-91-语音助手为什么老说？[http://caiyq.cslt.org/ai100/pdf/AI-100-91-语音助手为什么老说.pdf pdf]
#AI-100-92-机器如何像蝙蝠一样听声辨位？[http://caiyq.cslt.org/ai100/pdf/AI-100-92-机器如何像蝙蝠一样听声辨位.pdf pdf]
#AI-100-93-机器学习里有哪些分类模型？[http://caiyq.cslt.org/ai100/pdf/AI-100-93-机器学习里有哪些分类模型.pdf pdf]
#AI-100-94-机器学习里有哪些回归模型？[http://caiyq.cslt.org/ai100/pdf/AI-100-94-机器学习里有哪些回归模型.pdf pdf]
#AI-100-95-什么是邱奇？[http://caiyq.cslt.org/ai100/pdf/AI-100-95-什么是邱奇.pdf pdf]
#AI-100-96-人脸识别有哪些风险？[http://caiyq.cslt.org/ai100/pdf/AI-100-96-人脸识别有哪些风险.pdf pdf]
#AI-100-97-什么是人机协同学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-97-什么是人机协同学习.pdf pdf]
#AI-100-98-机器学习如何帮助生物学家提高显微图像质量？[http://caiyq.cslt.org/ai100/pdf/AI-100-98-机器学习如何帮助生物学家提高显微图像质量.pdf pdf]
#AI-100-99-深度伪造？[http://caiyq.cslt.org/ai100/pdf/AI-100-99-深度伪造.pdf pdf]
#AI-100-100-浅谈车牌识别？[http://caiyq.cslt.org/ai100/pdf/AI-100-100-浅谈车牌识别.pdf pdf]

[[文件:人工智能课程指南.png]]

AI 100 QA

2021-05-17T03:17:04Z

Caiyq：

==已经回答的问题==
##AI-100-01-语音助手是怎么听懂人说话的？[http://caiyq.cslt.org/ai100/pdf/AI-100-01-语音助手是怎么听懂人说话的.pdf pdf]
#AI-100-02-如何学习人工智能？[http://caiyq.cslt.org/ai100/pdf/AI-100-02-如何学习人工智能.pdf pdf]
#AI-100-03-未来人工智能会取代我们的工作吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-03-未来人工智能会取代我们的工作吗.pdf pdf]
#AI-100-04-什么是人工智能-v2？[http://caiyq.cslt.org/ai100/pdf/AI-100-04-什么是人工智能-v2.pdf pdf]
#AI-100-05-人工智能如何破解蛋白质之迷？[http://caiyq.cslt.org/ai100/pdf/AI-100-05-人工智能如何破解蛋白质之迷.pdf pdf]
#AI-100-06-嫦娥五号？[http://caiyq.cslt.org/ai100/pdf/AI-100-06-嫦娥五号.pdf pdf]
#AI-100-07-什么是图灵测试？[http://caiyq.cslt.org/ai100/pdf/AI-100-07-什么是图灵测试.pdf pdf]
#AI-100-08-人工智能如何帮助新药设计？[http://caiyq.cslt.org/ai100/pdf/AI-100-08-人工智能如何帮助新药设计.pdf pdf]
#AI-100-09-老人有必要学习人工智能吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-09-老人有必要学习人工智能吗.pdf pdf]
#AI-100-10-自动驾驶汽车撞人谁负责？[http://caiyq.cslt.org/ai100/pdf/AI-100-10-自动驾驶汽车撞人谁负责.pdf pdf]
#AI-100-11-其它专业向人工智能转行容易吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-11-其它专业向人工智能转行容易吗.pdf pdf]
#AI-100-12-人工智能能算命吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-12-人工智能能算命吗.pdf pdf]
#AI-100-13-人类的智能是如何产生的？[http://caiyq.cslt.org/ai100/pdf/AI-100-13-人类的智能是如何产生的.pdf pdf]
#AI-100-14-人工智能是机器人吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-14-人工智能是机器人吗.pdf pdf]
#AI-100-15-人工智能如何帮助人类利用风能？[http://caiyq.cslt.org/ai100/pdf/AI-100-15-人工智能如何帮助人类利用风能.pdf pdf]
#AI-100-16-如何描述人的思维？[http://caiyq.cslt.org/ai100/pdf/AI-100-16-如何描述人的思维.pdf pdf]
#AI-100-17-人类的智能有哪些？[http://caiyq.cslt.org/ai100/pdf/AI-100-17-人类的智能有哪些.pdf pdf]
#AI-100-18-机器如何辅助治疗黄斑病变？[http://caiyq.cslt.org/ai100/pdf/AI-100-18-机器如何辅助治疗黄斑病变.pdf pdf]
#AI-100-19-人工智能是大杂烩吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-19-人工智能是大杂烩吗.pdf pdf]
#AI-100-20-深度学习如何帮助化学家对化学反应分类？[http://caiyq.cslt.org/ai100/pdf/AI-100-20-深度学习如何帮助化学家对化学反应分类.pdf pdf]
#AI-100-21-学好人工智能必须学好数学吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-21-学好人工智能必须学好数学吗.pdf pdf]
#AI-100-22-中文屋子问题？[http://caiyq.cslt.org/ai100/pdf/AI-100-22-中文屋子问题.pdf pdf]
#AI-100-23-人工智能如何帮助开发癌症疫苗？[http://caiyq.cslt.org/ai100/pdf/AI-100-23-人工智能如何帮助开发癌症疫苗.pdf pdf]
#AI-100-24-人工智能如何预测新冠疫情？[http://caiyq.cslt.org/ai100/pdf/AI-100-24-人工智能如何预测新冠疫情.pdf pdf]
#AI-100-25-什么是遗传算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-25-什么是遗传算法.pdf pdf]
#AI-100-26-深度学习如何检测炭疽？[http://caiyq.cslt.org/ai100/pdf/AI-100-26-深度学习如何检测炭疽.pdf pdf]
#AI-100-27-什么是模拟退火算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-27-什么是模拟退火算法.pdf pdf]
#AI-100-28-机器学习如何发现生物拟态证据？[http://caiyq.cslt.org/ai100/pdf/AI-100-28-机器学习如何发现生物拟态证据.pdf pdf]
#AI-100-29-人工智能可以为天问一号做点什么？[http://caiyq.cslt.org/ai100/pdf/AI-100-29-人工智能可以为天问一号做点什么.pdf pdf]
#AI-100-30-AlphaGo和深蓝在算法上有什么不同？[http://caiyq.cslt.org/ai100/pdf/AI-100-30-AlphaGo和深蓝在算法上有什么不同.pdf pdf]
#AI-100-31-人工智能和机器学习是什么关系？[http://caiyq.cslt.org/ai100/pdf/AI-100-31-人工智能和机器学习是什么关系.pdf pdf]
#AI-100-32-AI如何为数学家出题？[http://caiyq.cslt.org/ai100/pdf/AI-100-32-AI如何为数学家出题.pdf pdf]
#AI-100-33-人工智能基础教育应如何开展？[http://caiyq.cslt.org/ai100/pdf/AI-100-33-人工智能基础教育应如何开展.pdf pdf]
#AI-100-34-机器学习有哪些主要方法？[http://caiyq.cslt.org/ai100/pdf/AI-100-34-机器学习有哪些主要方法.pdf pdf]
#AI-100-35-机器如何识别人脸？[http://caiyq.cslt.org/ai100/pdf/AI-100-35-机器如何识别人脸.pdf pdf]
#AI-100-36-深度学习如何合成蛋白质结构？[http://caiyq.cslt.org/ai100/pdf/AI-100-36-深度学习如何合成蛋白质结构.pdf pdf]
#AI-100-37-为什么说图灵是人工智能之父？[http://caiyq.cslt.org/ai100/pdf/AI-100-37-为什么说图灵是人工智能之父.pdf pdf]
#AI-100-38-达特茅斯会议讨论了哪些事情？[http://caiyq.cslt.org/ai100/pdf/AI-100-38-达特茅斯会议讨论了哪些事情.pdf pdf]
#AI-100-39-人工智能发展为什么充满曲折？[http://caiyq.cslt.org/ai100/pdf/AI-100-39-人工智能发展为什么充满曲折.pdf pdf]
#AI-100-40-什么是第三代人工智能？[http://caiyq.cslt.org/ai100/pdf/AI-100-40-什么是第三代人工智能.pdf pdf]
#AI-100-41-机器如何实现听音辨人？[http://caiyq.cslt.org/ai100/pdf/AI-100-41-机器如何实现听音辨人.pdf pdf]
#AI-100-42-神经网络如何模拟人耳听觉机制？[http://caiyq.cslt.org/ai100/pdf/AI-100-42-神经网络如何模拟人耳听觉机制.pdf pdf]
#AI-100-43-什么是专家系统？[http://caiyq.cslt.org/ai100/pdf/AI-100-43-什么是专家系统.pdf pdf]
#AI-100-44-alphago是如何战胜人类的？[http://caiyq.cslt.org/ai100/pdf/AI-100-44-alphago是如何战胜人类的.pdf pdf]
#AI-100-45-什么是α-β剪枝算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-45-什么是α-β剪枝算法.pdf pdf]
#AI-100-46-什么是BP算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-46-什么是BP算法.pdf pdf]
#AI-100-47-什么是人工神经网络？[http://caiyq.cslt.org/ai100/pdf/AI-100-47-什么是人工神经网络.pdf pdf]
#AI-100-48-什么是深度学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-48-什么是深度学习.pdf pdf]
#AI-100-49-什么是贝叶斯网络？[http://caiyq.cslt.org/ai100/pdf/AI-100-49-什么是贝叶斯网络.pdf pdf]
#AI-100-50-扫地机器人是如何工作的？[http://caiyq.cslt.org/ai100/pdf/AI-100-50-扫地机器人是如何工作的.pdf pdf]
#AI-100-51-搜索引擎是如何快速找到相关内容的？[http://caiyq.cslt.org/ai100/pdf/AI-100-51-搜索引擎是如何快速找到相关内容的.pdf pdf]
#AI-100-52-搜索引擎是如何判断网页的重要性的？[http://caiyq.cslt.org/ai100/pdf/AI-100-52-搜索引擎是如何判断网页的重要性的.pdf pdf]
#AI-100-53-什么是用户点击模型？[http://caiyq.cslt.org/ai100/pdf/AI-100-53-什么是用户点击模型.pdf pdf]
#AI-100-54-AlphaGo-Zero是如何从零学习的？[http://caiyq.cslt.org/ai100/pdf/AI-100-54-AlphaGo-Zero是如何从零学习的.pdf pdf]
#AI-100-55-机器如何实现定理证明？[http://caiyq.cslt.org/ai100/pdf/AI-100-55-机器如何实现定理证明.pdf pdf]
#AI-100-56-什么是知识图谱？[http://caiyq.cslt.org/ai100/pdf/AI-100-56-什么是知识图谱.pdf pdf]
#AI-100-57-机器人是如何动作的？[http://caiyq.cslt.org/ai100/pdf/AI-100-57-机器人是如何动作的.pdf pdf]
#AI-100-58-机器翻译的原理是什么？[http://caiyq.cslt.org/ai100/pdf/AI-100-58-机器翻译的原理是什么.pdf pdf]
#AI-100-59-深度学习如何帮助自动轻驶？[http://caiyq.cslt.org/ai100/pdf/AI-100-59-深度学习如何帮助自动轻驶.pdf pdf]
#AI-100-60-人工智能如何杀熟？[http://caiyq.cslt.org/ai100/pdf/AI-100-60-人工智能如何杀熟.pdf pdf]
#AI-100-61-什么是维度灾难？[http://caiyq.cslt.org/ai100/pdf/AI-100-61-什么是维度灾难.pdf pdf]
#AI-100-62-什么是奥卡姆剃刀准则？[http://caiyq.cslt.org/ai100/pdf/AI-100-62-什么是奥卡姆剃刀准则.pdf pdf]
#AI-100-63-甜美的导航声音是如何产生的？[http://caiyq.cslt.org/ai100/pdf/AI-100-63-甜美的导航声音是如何产生的.pdf pdf]
#AI-100-64-导航背后的人工智能？[http://caiyq.cslt.org/ai100/pdf/AI-100-64-导航背后的人工智能.pdf pdf]
#AI-100-65-能够合成子女照片吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-65-能够合成子女照片吗.pdf pdf]
#AI-100-66-机器如何理解人的语言？[http://caiyq.cslt.org/ai100/pdf/AI-100-66-机器如何理解人的语言.pdf pdf]
#AI-100-67-什么是贝叶斯公式？[http://caiyq.cslt.org/ai100/pdf/AI-100-67-什么是贝叶斯公式.pdf pdf]
#AI-100-68-AI如何帮你回忆年轻的模样？[http://caiyq.cslt.org/ai100/pdf/AI-100-68-AI如何帮你回忆年轻的模样.pdf pdf]
#AI-100-69-机器如何成为油画大师？[http://caiyq.cslt.org/ai100/pdf/AI-100-69-机器如何成为油画大师.pdf pdf]
#AI-100-70-机器如何成为诗人？[http://caiyq.cslt.org/ai100/pdf/AI-100-70-机器如何成为诗人.pdf pdf]
#AI-100-71-监督学习和无监督学习有什么区别？[http://caiyq.cslt.org/ai100/pdf/AI-100-71-监督学习和无监督学习有什么区别.pdf pdf]
#AI-100-72-如何从语音中判断人的情绪？[http://caiyq.cslt.org/ai100/pdf/AI-100-72-如何从语音中判断人的情绪.pdf pdf]
#AI-100-73-为什么说数据是人工智能的粮食？[http://caiyq.cslt.org/ai100/pdf/AI-100-73-为什么说数据是人工智能的粮食.pdf pdf]
#AI-100-74-什么是A星算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-74-什么是A星算法.pdf pdf]
#AI-100-75-四库全书是如何数字化的？[http://caiyq.cslt.org/ai100/pdf/AI-100-75-四库全书是如何数字化的.pdf pdf]
#AI-100-76-计算机如何谱曲？[http://caiyq.cslt.org/ai100/pdf/AI-100-76-计算机如何谱曲.pdf pdf]
#AI-100-77-什么是对抗样本？[http://caiyq.cslt.org/ai100/pdf/AI-100-77-什么是对抗样本.pdf pdf]
#AI-100-78-什么是迁移学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-78-什么是迁移学习.pdf pdf]
#AI-100-79-什么是支持向量机？[http://caiyq.cslt.org/ai100/pdf/AI-100-79-什么是支持向量机.pdf pdf]
#AI-100-80-AI如何为你美颜？[http://caiyq.cslt.org/ai100/pdf/AI-100-80-AI如何为你美颜.pdf pdf]
#AI-100-81-深度学习如何帮助物理学家重构物质三维结构？[http://caiyq.cslt.org/ai100/pdf/AI-100-81-深度学习如何帮助物理学家重构物质三维结构.pdf pdf]
#AI-100-82-机器如何学会打游戏？[http://caiyq.cslt.org/ai100/pdf/AI-100-82-机器如何学会打游戏.pdf pdf]
#AI-100-83-机器学习如何帮助天文学家检测望远镜问题？[http://caiyq.cslt.org/ai100/pdf/AI-100-83-机器学习如何帮助天文学家检测望远镜问题.pdf pdf]
#AI-100-84-机器人三定律能保护人类吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-84-机器人三定律能保护人类吗.pdf pdf]
#AI-100-85-机器如何写小说？[http://caiyq.cslt.org/ai100/pdf/AI-100-85-机器如何写小说.pdf pdf]
#AI-100-86-人工智能如何帮助司法审讯？[http://caiyq.cslt.org/ai100/pdf/AI-100-86-人工智能如何帮助司法审讯.pdf pdf]
#AI-100-87-机器如何做梦？[http://caiyq.cslt.org/ai100/pdf/AI-100-87-机器如何做梦.pdf pdf]
#AI-100-88-机器会产生人一样创新能力吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-88-机器会产生人一样创新能力吗.pdf pdf]
#AI-100-89-什么流形学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-89-什么流形学习.pdf pdf]
#AI-100-90-什么是聚类？[http://caiyq.cslt.org/ai100/pdf/AI-100-90-什么是聚类.pdf pdf]
#AI-100-91-语音助手为什么老说？[http://caiyq.cslt.org/ai100/pdf/AI-100-91-语音助手为什么老说.pdf pdf]
#AI-100-92-机器如何像蝙蝠一样听声辨位？[http://caiyq.cslt.org/ai100/pdf/AI-100-92-机器如何像蝙蝠一样听声辨位.pdf pdf]
#AI-100-93-机器学习里有哪些分类模型？[http://caiyq.cslt.org/ai100/pdf/AI-100-93-机器学习里有哪些分类模型.pdf pdf]
#AI-100-94-机器学习里有哪些回归模型？[http://caiyq.cslt.org/ai100/pdf/AI-100-94-机器学习里有哪些回归模型.pdf pdf]
#AI-100-95-什么是邱奇？[http://caiyq.cslt.org/ai100/pdf/AI-100-95-什么是邱奇.pdf pdf]
#AI-100-96-人脸识别有哪些风险？[http://caiyq.cslt.org/ai100/pdf/AI-100-96-人脸识别有哪些风险.pdf pdf]
#AI-100-97-什么是人机协同学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-97-什么是人机协同学习.pdf pdf]
#AI-100-98-机器学习如何帮助生物学家提高显微图像质量？[http://caiyq.cslt.org/ai100/pdf/AI-100-98-机器学习如何帮助生物学家提高显微图像质量.pdf pdf]
#AI-100-99-深度伪造？[http://caiyq.cslt.org/ai100/pdf/AI-100-99-深度伪造.pdf pdf]
#AI-100-100-浅谈车牌识别？[http://caiyq.cslt.org/ai100/pdf/AI-100-100-浅谈车牌识别.pdf pdf]

[[文件:人工智能课程指南.png]]

AI 100 QA

2021-05-17T03:14:08Z

Caiyq：

News pic

2021-05-17T02:56:46Z

Caiyq：

[[文件:2014年11月21日1.jpg]]

[[文件:Aibook-2.png]]

[[文件:Mlbook.jpg]]

[[文件:微信图片 20210313124740.png]]

[[newpick-backup]]

News pic

2021-05-17T02:55:02Z

Caiyq：

[[文件:2014年11月21日1.jpg]]

[[文件:Aibook-2.png]]

[[文件:Mlbook.jpg]]

[[文件:微信图片 20210313124740.png]]

[[文件:人工智能课程指南.png height="300" width="600"]]

<pre>
<img src="http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/aa/Energy_x_y.png" height="300" width="600">
</pre>

[[newpick-backup]]

AI 100 QA

2021-05-17T02:51:16Z

Caiyq：/* 已经回答的问题 */

==已经回答的问题==
[[文件:人工智能课程指南.png]]
#AI-100-01-语音助手是怎么听懂人说话的？[http://caiyq.cslt.org/ai100/pdf/AI-100-01-语音助手是怎么听懂人说话的.pdf pdf]
#AI-100-02-如何学习人工智能？[http://caiyq.cslt.org/ai100/pdf/AI-100-02-如何学习人工智能.pdf pdf]
#AI-100-03-未来人工智能会取代我们的工作吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-03-未来人工智能会取代我们的工作吗.pdf pdf]
#AI-100-04-什么是人工智能-v2？[http://caiyq.cslt.org/ai100/pdf/AI-100-04-什么是人工智能-v2.pdf pdf]
#AI-100-05-人工智能如何破解蛋白质之迷？[http://caiyq.cslt.org/ai100/pdf/AI-100-05-人工智能如何破解蛋白质之迷.pdf pdf]
#AI-100-06-嫦娥五号？[http://caiyq.cslt.org/ai100/pdf/AI-100-06-嫦娥五号.pdf pdf]
#AI-100-07-什么是图灵测试？[http://caiyq.cslt.org/ai100/pdf/AI-100-07-什么是图灵测试.pdf pdf]
#AI-100-08-人工智能如何帮助新药设计？[http://caiyq.cslt.org/ai100/pdf/AI-100-08-人工智能如何帮助新药设计.pdf pdf]
#AI-100-09-老人有必要学习人工智能吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-09-老人有必要学习人工智能吗.pdf pdf]
#AI-100-10-自动驾驶汽车撞人谁负责？[http://caiyq.cslt.org/ai100/pdf/AI-100-10-自动驾驶汽车撞人谁负责.pdf pdf]
#AI-100-11-其它专业向人工智能转行容易吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-11-其它专业向人工智能转行容易吗.pdf pdf]
#AI-100-12-人工智能能算命吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-12-人工智能能算命吗.pdf pdf]
#AI-100-13-人类的智能是如何产生的？[http://caiyq.cslt.org/ai100/pdf/AI-100-13-人类的智能是如何产生的.pdf pdf]
#AI-100-14-人工智能是机器人吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-14-人工智能是机器人吗.pdf pdf]
#AI-100-15-人工智能如何帮助人类利用风能？[http://caiyq.cslt.org/ai100/pdf/AI-100-15-人工智能如何帮助人类利用风能.pdf pdf]
#AI-100-16-如何描述人的思维？[http://caiyq.cslt.org/ai100/pdf/AI-100-16-如何描述人的思维.pdf pdf]
#AI-100-17-人类的智能有哪些？[http://caiyq.cslt.org/ai100/pdf/AI-100-17-人类的智能有哪些.pdf pdf]
#AI-100-18-机器如何辅助治疗黄斑病变？[http://caiyq.cslt.org/ai100/pdf/AI-100-18-机器如何辅助治疗黄斑病变.pdf pdf]
#AI-100-19-人工智能是大杂烩吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-19-人工智能是大杂烩吗.pdf pdf]
#AI-100-20-深度学习如何帮助化学家对化学反应分类？[http://caiyq.cslt.org/ai100/pdf/AI-100-20-深度学习如何帮助化学家对化学反应分类.pdf pdf]
#AI-100-21-学好人工智能必须学好数学吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-21-学好人工智能必须学好数学吗.pdf pdf]
#AI-100-22-中文屋子问题？[http://caiyq.cslt.org/ai100/pdf/AI-100-22-中文屋子问题.pdf pdf]
#AI-100-23-人工智能如何帮助开发癌症疫苗？[http://caiyq.cslt.org/ai100/pdf/AI-100-23-人工智能如何帮助开发癌症疫苗.pdf pdf]
#AI-100-24-人工智能如何预测新冠疫情？[http://caiyq.cslt.org/ai100/pdf/AI-100-24-人工智能如何预测新冠疫情.pdf pdf]
#AI-100-25-什么是遗传算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-25-什么是遗传算法.pdf pdf]
#AI-100-26-深度学习如何检测炭疽？[http://caiyq.cslt.org/ai100/pdf/AI-100-26-深度学习如何检测炭疽.pdf pdf]
#AI-100-27-什么是模拟退火算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-27-什么是模拟退火算法.pdf pdf]
#AI-100-28-机器学习如何发现生物拟态证据？[http://caiyq.cslt.org/ai100/pdf/AI-100-28-机器学习如何发现生物拟态证据.pdf pdf]
#AI-100-29-人工智能可以为天问一号做点什么？[http://caiyq.cslt.org/ai100/pdf/AI-100-29-人工智能可以为天问一号做点什么.pdf pdf]
#AI-100-30-AlphaGo和深蓝在算法上有什么不同？[http://caiyq.cslt.org/ai100/pdf/AI-100-30-AlphaGo和深蓝在算法上有什么不同.pdf pdf]
#AI-100-31-人工智能和机器学习是什么关系？[http://caiyq.cslt.org/ai100/pdf/AI-100-31-人工智能和机器学习是什么关系.pdf pdf]
#AI-100-32-AI如何为数学家出题？[http://caiyq.cslt.org/ai100/pdf/AI-100-32-AI如何为数学家出题.pdf pdf]
#AI-100-33-人工智能基础教育应如何开展？[http://caiyq.cslt.org/ai100/pdf/AI-100-33-人工智能基础教育应如何开展.pdf pdf]
#AI-100-34-机器学习有哪些主要方法？[http://caiyq.cslt.org/ai100/pdf/AI-100-34-机器学习有哪些主要方法.pdf pdf]
#AI-100-35-机器如何识别人脸？[http://caiyq.cslt.org/ai100/pdf/AI-100-35-机器如何识别人脸.pdf pdf]
#AI-100-36-深度学习如何合成蛋白质结构？[http://caiyq.cslt.org/ai100/pdf/AI-100-36-深度学习如何合成蛋白质结构.pdf pdf]
#AI-100-37-为什么说图灵是人工智能之父？[http://caiyq.cslt.org/ai100/pdf/AI-100-37-为什么说图灵是人工智能之父.pdf pdf]
#AI-100-38-达特茅斯会议讨论了哪些事情？[http://caiyq.cslt.org/ai100/pdf/AI-100-38-达特茅斯会议讨论了哪些事情.pdf pdf]
#AI-100-39-人工智能发展为什么充满曲折？[http://caiyq.cslt.org/ai100/pdf/AI-100-39-人工智能发展为什么充满曲折.pdf pdf]
#AI-100-40-什么是第三代人工智能？[http://caiyq.cslt.org/ai100/pdf/AI-100-40-什么是第三代人工智能.pdf pdf]
#AI-100-41-机器如何实现听音辨人？[http://caiyq.cslt.org/ai100/pdf/AI-100-41-机器如何实现听音辨人.pdf pdf]
#AI-100-42-神经网络如何模拟人耳听觉机制？[http://caiyq.cslt.org/ai100/pdf/AI-100-42-神经网络如何模拟人耳听觉机制.pdf pdf]
#AI-100-43-什么是专家系统？[http://caiyq.cslt.org/ai100/pdf/AI-100-43-什么是专家系统.pdf pdf]
#AI-100-44-alphago是如何战胜人类的？[http://caiyq.cslt.org/ai100/pdf/AI-100-44-alphago是如何战胜人类的.pdf pdf]
#AI-100-45-什么是α-β剪枝算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-45-什么是α-β剪枝算法.pdf pdf]
#AI-100-46-什么是BP算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-46-什么是BP算法.pdf pdf]
#AI-100-47-什么是人工神经网络？[http://caiyq.cslt.org/ai100/pdf/AI-100-47-什么是人工神经网络.pdf pdf]
#AI-100-48-什么是深度学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-48-什么是深度学习.pdf pdf]
#AI-100-49-什么是贝叶斯网络？[http://caiyq.cslt.org/ai100/pdf/AI-100-49-什么是贝叶斯网络.pdf pdf]
#AI-100-50-扫地机器人是如何工作的？[http://caiyq.cslt.org/ai100/pdf/AI-100-50-扫地机器人是如何工作的.pdf pdf]
#AI-100-51-搜索引擎是如何快速找到相关内容的？[http://caiyq.cslt.org/ai100/pdf/AI-100-51-搜索引擎是如何快速找到相关内容的.pdf pdf]
#AI-100-52-搜索引擎是如何判断网页的重要性的？[http://caiyq.cslt.org/ai100/pdf/AI-100-52-搜索引擎是如何判断网页的重要性的.pdf pdf]
#AI-100-53-什么是用户点击模型？[http://caiyq.cslt.org/ai100/pdf/AI-100-53-什么是用户点击模型.pdf pdf]
#AI-100-54-AlphaGo-Zero是如何从零学习的？[http://caiyq.cslt.org/ai100/pdf/AI-100-54-AlphaGo-Zero是如何从零学习的.pdf pdf]
#AI-100-55-机器如何实现定理证明？[http://caiyq.cslt.org/ai100/pdf/AI-100-55-机器如何实现定理证明.pdf pdf]
#AI-100-56-什么是知识图谱？[http://caiyq.cslt.org/ai100/pdf/AI-100-56-什么是知识图谱.pdf pdf]
#AI-100-57-机器人是如何动作的？[http://caiyq.cslt.org/ai100/pdf/AI-100-57-机器人是如何动作的.pdf pdf]
#AI-100-58-机器翻译的原理是什么？[http://caiyq.cslt.org/ai100/pdf/AI-100-58-机器翻译的原理是什么.pdf pdf]
#AI-100-59-深度学习如何帮助自动轻驶？[http://caiyq.cslt.org/ai100/pdf/AI-100-59-深度学习如何帮助自动轻驶.pdf pdf]
#AI-100-60-人工智能如何杀熟？[http://caiyq.cslt.org/ai100/pdf/AI-100-60-人工智能如何杀熟.pdf pdf]
#AI-100-61-什么是维度灾难？[http://caiyq.cslt.org/ai100/pdf/AI-100-61-什么是维度灾难.pdf pdf]
#AI-100-62-什么是奥卡姆剃刀准则？[http://caiyq.cslt.org/ai100/pdf/AI-100-62-什么是奥卡姆剃刀准则.pdf pdf]
#AI-100-63-甜美的导航声音是如何产生的？[http://caiyq.cslt.org/ai100/pdf/AI-100-63-甜美的导航声音是如何产生的.pdf pdf]
#AI-100-64-导航背后的人工智能？[http://caiyq.cslt.org/ai100/pdf/AI-100-64-导航背后的人工智能.pdf pdf]
#AI-100-65-能够合成子女照片吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-65-能够合成子女照片吗.pdf pdf]
#AI-100-66-机器如何理解人的语言？[http://caiyq.cslt.org/ai100/pdf/AI-100-66-机器如何理解人的语言.pdf pdf]
#AI-100-67-什么是贝叶斯公式？[http://caiyq.cslt.org/ai100/pdf/AI-100-67-什么是贝叶斯公式.pdf pdf]
#AI-100-68-AI如何帮你回忆年轻的模样？[http://caiyq.cslt.org/ai100/pdf/AI-100-68-AI如何帮你回忆年轻的模样.pdf pdf]
#AI-100-69-机器如何成为油画大师？[http://caiyq.cslt.org/ai100/pdf/AI-100-69-机器如何成为油画大师.pdf pdf]
#AI-100-70-机器如何成为诗人？[http://caiyq.cslt.org/ai100/pdf/AI-100-70-机器如何成为诗人.pdf pdf]
#AI-100-71-监督学习和无监督学习有什么区别？[http://caiyq.cslt.org/ai100/pdf/AI-100-71-监督学习和无监督学习有什么区别.pdf pdf]
#AI-100-72-如何从语音中判断人的情绪？[http://caiyq.cslt.org/ai100/pdf/AI-100-72-如何从语音中判断人的情绪.pdf pdf]
#AI-100-73-为什么说数据是人工智能的粮食？[http://caiyq.cslt.org/ai100/pdf/AI-100-73-为什么说数据是人工智能的粮食.pdf pdf]
#AI-100-74-什么是A星算法？[http://caiyq.cslt.org/ai100/pdf/AI-100-74-什么是A星算法.pdf pdf]
#AI-100-75-四库全书是如何数字化的？[http://caiyq.cslt.org/ai100/pdf/AI-100-75-四库全书是如何数字化的.pdf pdf]
#AI-100-76-计算机如何谱曲？[http://caiyq.cslt.org/ai100/pdf/AI-100-76-计算机如何谱曲.pdf pdf]
#AI-100-77-什么是对抗样本？[http://caiyq.cslt.org/ai100/pdf/AI-100-77-什么是对抗样本.pdf pdf]
#AI-100-78-什么是迁移学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-78-什么是迁移学习.pdf pdf]
#AI-100-79-什么是支持向量机？[http://caiyq.cslt.org/ai100/pdf/AI-100-79-什么是支持向量机.pdf pdf]
#AI-100-80-AI如何为你美颜？[http://caiyq.cslt.org/ai100/pdf/AI-100-80-AI如何为你美颜.pdf pdf]
#AI-100-81-深度学习如何帮助物理学家重构物质三维结构？[http://caiyq.cslt.org/ai100/pdf/AI-100-81-深度学习如何帮助物理学家重构物质三维结构.pdf pdf]
#AI-100-82-机器如何学会打游戏？[http://caiyq.cslt.org/ai100/pdf/AI-100-82-机器如何学会打游戏.pdf pdf]
#AI-100-83-机器学习如何帮助天文学家检测望远镜问题？[http://caiyq.cslt.org/ai100/pdf/AI-100-83-机器学习如何帮助天文学家检测望远镜问题.pdf pdf]
#AI-100-84-机器人三定律能保护人类吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-84-机器人三定律能保护人类吗.pdf pdf]
#AI-100-85-机器如何写小说？[http://caiyq.cslt.org/ai100/pdf/AI-100-85-机器如何写小说.pdf pdf]
#AI-100-86-人工智能如何帮助司法审讯？[http://caiyq.cslt.org/ai100/pdf/AI-100-86-人工智能如何帮助司法审讯.pdf pdf]
#AI-100-87-机器如何做梦？[http://caiyq.cslt.org/ai100/pdf/AI-100-87-机器如何做梦.pdf pdf]
#AI-100-88-机器会产生人一样创新能力吗？[http://caiyq.cslt.org/ai100/pdf/AI-100-88-机器会产生人一样创新能力吗.pdf pdf]
#AI-100-89-什么流形学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-89-什么流形学习.pdf pdf]
#AI-100-90-什么是聚类？[http://caiyq.cslt.org/ai100/pdf/AI-100-90-什么是聚类.pdf pdf]
#AI-100-91-语音助手为什么老说？[http://caiyq.cslt.org/ai100/pdf/AI-100-91-语音助手为什么老说.pdf pdf]
#AI-100-92-机器如何像蝙蝠一样听声辨位？[http://caiyq.cslt.org/ai100/pdf/AI-100-92-机器如何像蝙蝠一样听声辨位.pdf pdf]
#AI-100-93-机器学习里有哪些分类模型？[http://caiyq.cslt.org/ai100/pdf/AI-100-93-机器学习里有哪些分类模型.pdf pdf]
#AI-100-94-机器学习里有哪些回归模型？[http://caiyq.cslt.org/ai100/pdf/AI-100-94-机器学习里有哪些回归模型.pdf pdf]
#AI-100-95-什么是邱奇？[http://caiyq.cslt.org/ai100/pdf/AI-100-95-什么是邱奇.pdf pdf]
#AI-100-96-人脸识别有哪些风险？[http://caiyq.cslt.org/ai100/pdf/AI-100-96-人脸识别有哪些风险.pdf pdf]
#AI-100-97-什么是人机协同学习？[http://caiyq.cslt.org/ai100/pdf/AI-100-97-什么是人机协同学习.pdf pdf]
#AI-100-98-机器学习如何帮助生物学家提高显微图像质量？[http://caiyq.cslt.org/ai100/pdf/AI-100-98-机器学习如何帮助生物学家提高显微图像质量.pdf pdf]
#AI-100-99-深度伪造？[http://caiyq.cslt.org/ai100/pdf/AI-100-99-深度伪造.pdf pdf]
#AI-100-100-浅谈车牌识别？[http://caiyq.cslt.org/ai100/pdf/AI-100-100-浅谈车牌识别.pdf pdf]

News pic

2021-05-17T02:50:56Z

Caiyq：

[[文件:2014年11月21日1.jpg]]

[[文件:Aibook-2.png]]

[[文件:Mlbook.jpg]]

[[文件:微信图片 20210313124740.png]]

[[文件:人工智能课程指南.png]]

[[newpick-backup]]

文件:人工智能课程指南.png

2021-05-17T02:50:17Z

Caiyq：Caiyq上传“文件:人工智能课程指南.png”的新版本

文件:人工智能课程指南.png

2021-05-17T02:48:29Z

Caiyq：