About Publications Experiences CV


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State Key Lab of CAD&CG,
Zhejiang University
Contact: panby AT zju.edu.cn

   Curriculum Vitae
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Boyuan Pan (潘博远)

I received my Ph.D. degree from Zhejiang University in China. My advisors are Prof. Xiaofei He and Prof. Deng Cai. During my Ph.D. career, I was a visiting scholar at UIUC (working with Prof. Bo Li) and OSU (working with Prof. Huan Sun).

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, reinforcement learning and adversarial learning to work towards the goal of the combination of language understanding and generation.

News

  • May 2021

    • Our paper "TopNet: Learning from Neural Topic Model to Generate Long Stories" got accepted in KDD 2021.

  • Jan 2021

    • Our paper "Self-Supervised Attention Flow for Dialogue State Tracking" got accepted in Neurocomputing.

  • September 2020

    • Our paper "T3: Tree-Autoencoder Regularized Adversarial Text Generation for Targeted Attack" got accepted in EMNLP 2020.

More News

Publications

    2021

  • TopNet: Learning from Neural Topic Model to Generate Long Stories

    Yazheng Yang*, Boyuan Pan*, Deng Cai, Huan Sun

    The 2021 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021) (Research Track)

    [paper] [code]

  • Self-Supervised Attention Flow for Dialogue State Tracking

    Boyuan Pan*, Yazheng Yang*, Bo Li, Deng Cai

    Neurocomputing

    [paper]

  • 2020

  • T3: Tree-Autoencoder Regularized Adversarial Text Generation for Targeted Attack

    Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li

    The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)

    [paper] [code]

  • Adversarial Mutual Information for Text Generation

    Boyuan Pan*, Yazheng Yang*, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-sheng Hua, Deng Cai, Bo Li

    Thirty-seventh International Conference on Machine Learning (ICML 2020)

    [paper] [code]

  • Towards Evaluating the Robustness of Chinese BERT Classifiers

    Boxin Wang, Boyuan Pan, Xin Li, Bo Li

    arXiv preprint arXiv:2004.03742

    [paper]

  • Bi-Decoder Augmented Network for Neural Machine Translation

    Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting zhuang, Deng Cai

    Neurocomputing

    [paper]

  • 2019

  • Discriminate and Reconstruct: Learning from Language Model to Answer Keyword Questions

    Boyuan Pan, Yazheng Yang, Yueting Zhuang, Deng Cai

    The second China Symposium on Cognitive Computing and Hybrid Intelligence (CCHI 2019) (oral)

    [paper]

  • 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]

  • 2018

  • 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]

  • 2017

  • Keyword-based Query Comprehending via Multiple Optimized-Demand Augmentation

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

    arXiv preprint arXiv:1711.00179

    [paper]

  • 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 - 2021/06

    • 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 School, University of California, Los Angeles (UCLA).

Experiences

Professional Services

Program Committee Member: AAAI (2018), NeurIPS (2019), ACL (2018, 2019, 2020), EMNLP (2020), NAACL (2021).

Journal Reviewer: IEEE TNNLS.