周浩

周浩，清华大学智能产业研究院副研究员，周浩2017年博士毕业于南京大学，后加入字节跳动人工智能实验室工作，历任研究员，高级研究员和研究主管。他的研究方向是离散符号的结构化学习，主要的应用包括文本生成，AI辅助药物设计等，作为负责人他曾领导并从零搭建了字节跳动的文本生成中台和AI辅助药物设计两个方向的研发团队，团队相关的研发产品应用于全球20余个国家，用户规模超过10亿。他曾担任多个会议的审稿人或领域主席，多次在国内外的学术会议上做讲习班报告，在顶级会议包括ACL，EMNLP，NeurIPS，ICML和ICLR上发表论文60余篇。

个人主页：

https://zhouh.github.io/

邮箱地址：

[email protected]

教育经历：

2012 - 2017 南京大学计算机科学与技术系 博士

2008 - 2012 南京师范大学计算机科学与技术学院 学士

工作经历：

2022 - 至今 清华大学智能产业研究院 副研究员

2017 - 2022 字节跳动人工智能实验室 研究科学家/研究主管

论文著作：

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

In the 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

In International 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

In the 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

In Proceedings 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

In International 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

In Proceedings 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

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

近5年奖项：

CCF NLPCC 青年新锐学者, 2021

ACL最佳论文, 2021

中国人工智能学会优秀博士论文, 2019

南京大学优秀博士论文, 2019