“Tianyi Luo”版本间的差异
来自cslt Wiki
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'''Education:''' | '''Education:''' | ||
| − | + | Master: Peking University(北京大学) (2013). | |
'''Work experience：''' | '''Work experience：''' | ||
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* 2014.12-: Machine Learning/Natural Language Processing Research Engineer in CSLT, RIIT, Tsinghua Univ., China. (清华大学) (Advisor: [http://wangd.cslt.org/ Dong Wang]]) | * 2014.12-: Machine Learning/Natural Language Processing Research Engineer in CSLT, RIIT, Tsinghua Univ., China. (清华大学) (Advisor: [http://wangd.cslt.org/ Dong Wang]]) | ||
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'''Related documents''' | '''Related documents''' | ||
| − | *Tianyi Luo's Moses installing and training process [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/ | + | *Tianyi Luo's Moses installing and training process [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/fe/2016-01-03_Moses%E5%AE%89%E8%A3%85%E8%AE%AD%E7%BB%83%E5%85%A8%E8%BF%87%E7%A8%8B.pdf pdf]] 01/04/2016 |
*Tianyi Luo's yearly report(01/2015~12/2015) [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/4c/2016-01-06_Tianyi_Luo%27s_yearly_report.pdf pdf]] 01/06/2016 | *Tianyi Luo's yearly report(01/2015~12/2015) [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/4c/2016-01-06_Tianyi_Luo%27s_yearly_report.pdf pdf]] 01/06/2016 | ||
| + | *Intellegent QA System Overview [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/7d/Cslt-trp-template.pdf pdf]] 03/06/2016 | ||
2017年8月15日 (二) 02:38的最后版本
Tainyi Luo(骆天一)
Education:
Master: Peking University(北京大学) (2013).
Work experience：
- 2014.12-: Machine Learning/Natural Language Processing Research Engineer in CSLT, RIIT, Tsinghua Univ., China. (清华大学) (Advisor: Dong Wang])
Research interests:
Machine Learning, Natural Language Processing, Information Retrieval and Recommend System
Publications(Tianyi Luo's Homepage):
- Tianyi Luo*, Qixin Wang*, Dong Wang. “Chinese Song Iambics Generation with Neural Attention-based Model”, The 30th AAAI Conference on Artificial Intelligence (AAAI 2016), full paper submitted. (*: equal contribution) [Paper]
- Tianyi Luo, Dong Wang, Rong Liu and Yiqiao Pan, "Stochastic Top-k ListNet", Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015 long oral paper) , pp. 676-684, Sep 17-21, 2015. Lisbon, Portugal. [Paper] [PPT] [Code]
- Dongxu Zhang, Tianyi Luo, Rong Liu, Dong Wang. “Learning from LDA using Deep Neural Networks”, arXiv: 1508.01011 [Paper] [PPT] [Code]
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