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Hao Zhou  Associate Professor

Hao Zhou Research Associate Professor at Institute for AI Industry Research (AIR), Tsinghua University. His research interest is developing machine learning models to better understand/generate discrete symbols including text, small molecules and proteins. Previously, he was a Research Scientist/Manager at ByteDance AI Lab. He has published over 60 papers in top conferences such as ACL, EMNLP, ICML, NeurIPS and ICLR. He was the recipient of Chinese Association of Artificial Intelligence 2019 Doctoral Dissertation Award, ACL 2021 Best Paper Award and CCF NLPCC Distinguished Young Scientist.


Homepage

https://zhouh.github.io/


Email address:

zhouhao@air.tsinghua.edu.cn


Education

2012 - 2017 Nanjing University PhD

2008 - 2012 Nanjing Normal University Bachelor


Career

2022 till now Institute of AI Industrial Research, Tsinghua University. Research Associate Professor

2017 - 2022 ByteDance AI Lab. Research Scientist/Manager


Selected Publications

1. switch-GLAT: Multilingual Parallel Machine Translation via Code-switch Decoder

Zhenqiao Song,Hao Zhou, Lihua Qian, Jingjing Xu, Shanbo Cheng, Mingxuan Wang, and Lei Li

In International Conference on Learning Representations (ICLR), April, 2022.

2. Duplex Sequence-to-Sequence Learning for Reversible Machine Translation

Zaixiang Zheng,Hao Zhou, Shujian Huang, Jiajun Chen, Jingjing Xu, and Lei Li

In the 35th Conference on Neural Information Processing Systems (NeurIPS), December, 2021.

3. Glancing Transformer for Non-Autoregressive Neural Machine Translation

Lihua Qian,Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, and Lei Li

In the 59th Annual Meeting of the Association for Computational Linguistics (ACL), July, 2021.

4. Vocabularization via Optimal Transport for Neural Machine Translation

Jingjing Xu,Hao Zhou, Chun Gan, Zaixiang Zheng, and Lei Li

Inthe 59th Annual Meeting of the Association for Computational Linguistics (ACL) - Best Paper Award, July, 2021.

5. MARS: Markov Molecular Sampling for Multi-objective Drug Discovery

Yutong Xie, Chence Shi,Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, and Lei Li

InInternational Conference on Learning Representations (ICLR) - Spotlight, March, 2021.

6. On the Sentence Embeddings from Pre-trained Language Models

Bohan Li,Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, and Lei Li

Inthe Conference on Empirical Methods in Natural Language Processing (EMNLP), November, 2020.

7. Dispersing Exponential Family Mixture VAEs for Interpretable Text Generation

Wenxian Shi,Hao Zhou, Ning Miao, and Lei Li

InProceedings of the 37th International Conference on Machine learning (ICML), July, 2020

8. Mirror Generative Models for Neural Machine Translation

Zaixiang Zheng,Hao Zhou, Shujian Huang, Lei Li, Xinyu Dai, and Jiajun Chen

InInternational Conference on Learning Representations (ICLR) - Oral, April, 2020.

9. CGMH: Constrained sentence generation by metropolis-hastings sampling

Ning Miao,Hao Zhou, Lili Mou, Rui Yan, and Lei Li

InProceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2019.

10. A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing

Hao Zhou, Yue Zhang, Shujian Huang, and Jiajun Chen

InProceedings of the 53th Annual Meeting of the Association for Computational Linguistics (ACL), 2015.



Major Honors and Awards

  • CCF NLPCC Distinguished Young Scientist, 2021

  • Best Paper Award of ACL, 2021

  • CAAI Doctoral Dissertation Award, 2019

  • Outstanding Doctoral Dissertation of Nanjing University, 2019

  • National Scholarship, 2011/2016

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