What's New

[Feb 2022] One paper accepted at ACL 2022!

[Aug 2021] One paper accepted at EMNLP 2021!

[Nov 2020]   Attended EMNLP 2020 (virtual)

[Nov 2019]   Travel to Hong Kong, China - EMNLP 2019

[Aug 2019] Our paper "An Entity-Driven Framework for Abstractive Summarization" is accepted at EMNLP 2019!


Biography

I am a senior research engineer at Baidu Inc. I received my Master Degree in Computer Engineering from Northeastern University (in Boston). I was a member of Northeastern NLP Group and worked with Prof. Lu Wang (now at UMich) on text generation and abstractive summarization.


Research Interests

I'm generally interested in computational linguistics and natural language processing. My goal is to design methods that can understand human languages from large-scale data of various domains, and also generate rich and coherent outputs of high quality and controllability. Recently, I'm working on topics including:

  • controllable text generation and long-form text generation;
  • coherent and high-quality summary extraction and generation;
  • natural language inference and textual semantic similarity modeling;

Experience


Publications

  • PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation
  • Zhe Hu, Hou Pong Chan, Jiachen Liu, Xinyan Xiao, Hua Wu, Lifu Huang
    In Proceedings of the Association for Computational Linguistics (ACL), 2022. (to appear)
    PDF Poster Slides Project Abstract
  • Context-Aware Interaction Network for Question Matching
  • Zhe Hu, Zuohui Fu, Yu Yin, Gerard de Melo
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), short paper, 2021.
    PDF Poster Slides Video Abstract
  • Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward
  • Zhe Hu*, Zhiwei Cao*, Hou Pong Chan, Jiachen Liu, Xinyan Xiao, Jinsong Su, Hua Wu
    [*equal contribution]
    In arXiv, 2021
    PDF Abstract
  • Enhanced Sentence Alignment Network for Efficient Short Text Matching
  • Zhe Hu, Zuohui Fu, Cheng Peng, Weiwei Wang
    In Proceedings of EMNLP 2020 Workshop on Noisy User-generated Text (EMNLP Workshop), short paper, 2020.
    PDF Slides Abstract
  • An Entity-Driven Framework for Abstractive Summarization
  • Eva Sharma*, Luyang Huang*, Zhe Hu*, Lu Wang
    [*equal contribution]
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
    Errata: Equation (9) in section 2.3 should be: \(L(S_A,S_B^+, S_B^-) = \max \{0, 1 + Coh(S_A, S_B^-) - Coh(S_A, S_B^+)\} \)
    PDF Poster Code Demo Abstract
  • Argument Generation with Retrieval, Planning, and Realization
  • Xinyu Hua, Zhe Hu, Lu Wang
    In Proceedings of the Association for Computational Linguistics (ACL), 2019.
    PDF Code Demo Abstract

Education


Services

  • Program Committee Member:
    • ACL ARR
    • 2021: ACL, EMNLP, NAACL, EACL, AAAI
    • 2020: ACL, EMNLP
    • 2019: EMNLP NewSum workshop