“Tianyi Luo”版本间的差异
来自cslt Wiki
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#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. | #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. | ||
#Dongxu Zhang, Tianyi Luo, Rong Liu, Dong Wang. “Learning from LDA using Deep Neural Networks”, arXiv: 1508.01011 | #Dongxu Zhang, Tianyi Luo, Rong Liu, Dong Wang. “Learning from LDA using Deep Neural Networks”, arXiv: 1508.01011 | ||
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| + | '''Related documents''' | ||
| + | *Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [[http://zheng-wen.com/Cascading_Bandit_Paper.pdf pdf]] | ||
2016年1月3日 (日) 10:43的版本
Tainyi Luo
Education:
Bachelor, DLUT.(2010)，Master, :Peking Univ.(2013)).
Work experience：
- 2014.5-2014.9: Research Assistant in Natural Language Processing, The Hong Kong Polytechnic University, Hong Kong, China
- 2014.12-: Machine Learning/Natural Language Processing Research Engineer in CSLT, RIIT, Tsinghua Univ., China.
Research interests:
Machine Learning, Natural Language Processing, Information Retrieval and Recommend System
Publications(Tianyi Luo's Homepage):
- Tianyi Luo*, Qixin Wang*, Haichao Yu, Dong Wang. “Chinese Song Iambics Generation with Neural Attention-based Model”, The 30th AAAI Conference on Arti?cial Intelligence (AAAI 2016), full paper submitted. (*: equal contribution)
- 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.
- Dongxu Zhang, Tianyi Luo, Rong Liu, Dong Wang. “Learning from LDA using Deep Neural Networks”, arXiv: 1508.01011
Related documents
- Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [pdf]
