Jichuan Zeng Senior Research Engineer ByteDance Email: zengjc0718 at gmail dot com

Biography

Dr. Jichuan Zeng (in Chinese: 曾纪川), is currently a senior research engineer at ByteDance. He received his Ph.D. degree in Computer Science and Engineering from the Chinese University of Hong Kong (CUHK) at 2019, supervised by Prof. Irwin King and Prof. Michael R. Lyu. Before CUHK, he was a research assistant at Rich Media and Big Data Analytics Key Laboratory of Shenzhen. He received his Master degree in Computer Science and Technology from Harbin Institute of Technology (Shenzhen) supervised by Prof. Qingcai Chen in 2014, and Bachelor degree in Educational Information Technology from South China Normal University in 2010.

His research interests include natural language processing, machine learning, recommendation system and software engineering.

News

Publications [Google Scholar]

• Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing
  Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, and Michael R. Lyu.
  In Proceedings of IEEE Transactions on Software Engineering (TSE), 2021.
  

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• Do Users Care about Ad's Performance Costs? Exploring the Effects of the Performance Costs of In-App Ads on User Experience"
  Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, and Michael R. Lyu.
  In Proceedings of Information and Software Technology (IST), 2021.
  

• PHOTON: A Robust Cross-Domain Text-to-SQL System
  Jichuan Zeng, Xi Victoria Lin, Steven C.H. Hoi, Caiming Xiong, Richard Socher, Michael R. Lyu, and Irwin King.
  In Proceedings of Annual Conference of the Association for Computational Linguistics (ACL), Demo, 2020.
  

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• What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process
  Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, and Irwin King.
  In Proceedings of The Web Conference (formerly WWW), Taipei, 2020. [Oral]
  

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• RRGen: Automating App Review Response Generation
  Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, and Irwin King.
  Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2019.
  

• What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations
  Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, and Irwin King.
  Proceedings of the Transactions of the Association for Computational Linguistics (TACL), 2019 (Oral presented in ACL 2019).
  

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• Emerging App Issue Identification from User Feedback: Experience on WeChat
  Cuiyun Gao, Wujie Zheng, Yutang Deng, David Lo, Jichuan Zeng, Michael R. Lyu, and Irwin King.
  Proceedings of the 41th International Conference on Software Engineering (ICSE), 2019.
  

• Topic Memory Networks for Short Text Classification
  Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, and Irwin King.
  Proceedings of the 28th International Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019 [Oral].
  

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• INFAR: Insight Extraction from App Reviews
  Cuiyun Gao, Jichuan Zeng, David Lo, Chin-Yew Lin, Michael R. Lyu, and Irwin King.
  Proceedings of the 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), demo track, 2018.
  

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• Exploring the Effects of Ad Schemes on the Performance Cost of Mobile Phones
  Cuiyun Gao, Jichuan Zeng, Federica Sarro, Michael R. Lyu, and Irwin King.
  Proceedings of the 1st International Workshop on Advances in Mobile App Analysis (A-Mobile), co-located with (ASE), 2018.
  

• Online App Review Analysis for Identifying Emerging Issues
  Cuiyun Gao, Jichuan Zeng, Michael R. Lyu, and Irwin King.
  Proceedings of the 40th International Conference on Software Engineering (ICSE), 2018.
  

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• A Comparison of Lasso-type Algorithms on Distributed Parallel Machine Learning Platforms
  Jichuan Zeng, Haiqin Yang, Irwin King and Michael R. Lyu.
  Distributed Machine Learning and Matrix Computations Workshop, 28th Annual Annual Conference on Neural Information Processing Systems (NIPS), 2014.