Boyuan Pan (潘博远)

Contact: panby AT zju.edu.cn

I'm a fourth-year PhD student in the College of Computer Science and Technology at Zhejiang University in China. My advisors are Prof. Xiaofei He and Prof. Deng Cai. Now I'm a visiting scholar at UIUC and work with Prof. Bo Li.

My research interests fall in the general areas and applications of machine learning and natural language processing (NLP), especially the recent developments in transfer learning, common sense reasoning, reinforcement learning and adversarial learning to work towards the goal of the combination of language understanding and generation. In May 2017, our proposed model (MEMEN) achieved the second place on the leaderboard of the Stanford Question Answering Dataset (SQuAD).

News

• October 2019

  • I am excited to visit the University of Illinois at Urbana-Champaign and work with Prof. Bo Li!

• June 2019

  • I'm excited to join the Alibaba DAMO Academy as a research intern!

• May 2019

  • Our paper "Reinforced Dynamic Reasoning for Conversational Question Generation" got accepted in ACL 2019, Florence, Italy.

• November 2018

  • I am excited to visit the Ohio State University and work with Prof. Huan Sun!

  • Our work in NeurIPS 2018 was invited to have a talk on the 16th China Symposium on Machine Learning Applications (MLA 2018), Nanjing, China.

• September 2018

  • Our paper "MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models" got accepted in NeurIPS 2018, Montreal, Canada.

• May 2018

  • Our work in ACL 2018 was invited to present on The Third SFU-ZJU Joint Symposium on Big Data and Visual Computing, Hangzhou, China.

• April 2018

  • Our paper "Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference" got accepted in ACL 2018 (oral), Melbourne, Australia.

• May 2017

  • Our Model "MEMEN" achieved the second place on the SQuAD leaderboard!

• April 2017

  • Our paper "Robust Asymmetric Bayesian Adaptive Matrix Factorization" got accepted in IJCAI 2017, Melbourne, Australia.

Publications

Link to [Google Scholar]

• Reinforced Dynamic Reasoning for Conversational Question Generation

  Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, Huan Sun

  Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019)

  [paper] [code]

• MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models

  Boyuan Pan, Yazheng Yang, Hao Li, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He

  Thirty-second Conference on Neural Information Processing Systems (NeurIPS 2018)

  [paper] [poster]

• Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference

  Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He

  Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018) (oral)

  [paper] [code] [slides]

• MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension

  Boyuan Pan, Hao Li, Zhou Zhao, Bin Cao, Deng Cai, Xiaofei He

  arXiv preprint arXiv:1707.09098

  [paper]

• Robust Asymmetric Bayesian Adaptive Matrix Factorization

  Xin Guo, Boyuan Pan, Deng Cai, Xiaofei He

  Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017)

  [paper]

Education

• 2016/09 - present

  • Ph.D. in Computer Science and Technology, Zhejiang University.

• 2012/09 - 2016/06

  • B.S. in Mathematical Science, Zhejiang University.

• 2014/08 - 2014/09

  • Summer Courses, University of California, Los Angeles (UCLA).

Experiences

• 2019/10 - present

  • Visiting Scholar at University of Illinois at Urbana-Champaign (UIUC), Urbana, USA.

• 2019/06 - 2019/09

  • Research Intern at Alibaba DAMO Academy, Hangzhou, China.

• 2018/11 - 2019/05

  • Visiting Scholar at Ohio State University (OSU), Columbus, USA.

• 2016/11 - 2017/09

  • Research Intern at Eigen Technologies, Hangzhou, China.

Professional Services

Program Committee Member: AAAI (2018), ACL (2018, 2019), NeurIPS (2019).

Journal Reviewer: IEEE TNNLS.

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