Jing Li 李菁 Assistant Professor Department of Computing The Hong Kong Polytechnic University Address PQ 714, Mong Man Wai Building The Hong Kong Polytechnic University Hung Hom, Kowloon Hong Kong SAR, China Email jing-amelia.li [AT] polyu [DOT] edu [DOT] hk

Dr. Jing Li is an Assistant Professor of the Department of Computing, The Hong Kong Polytechnic University (PolyU) since 2019. She is a member of Data Science and AI Lab (DaSAIL) of Department of Computing and the COMP representative for Doctor of Applied Language Sciences Programme (DALS). Before joining PolyU, she worked in the Natural Language Processing Center, Tencent AI Lab as a senior researcher from 2017 to 2019. Jing obtained her PhD degree from the Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong in 2017 under supervision of Professor Kam-Fai Wong. Before that, she received her B.S. degree from Department of Machine Intelligence, Peking University in 2013. Jing has broad research interests on natural language processing, social computing, and machine learning. Particularly, she works on novel algorithms for topic modeling, information extraction, discourse analysis, and their applications on social interaction understanding. To know more about my research lab, feel free to visit PolyU SMART Lab.

Research Topics

• Topic Modeling
• Information Extraction
• Discourse Analysis
• Natural Language Processing for Social Media

• Jan 2021 - Dec 2023: Characterize, Detect, and Neutralize: Context-Aware Computational Methods for Media Bias on Social Platforms. NSFC (Young Scientists Fund) as PI.
• June 2020 - Sep 2021: Vision, Language and Graphics (VLG) Group: An AI Driven Platform for Smart Living. PolyU Internal Fund as Co-PI with Rep. Co-PI Prof. Jane You and Co-PI Dr. Maggie Wenjie Li.
• Oct 2019 - Sep 2022: Discourse Parsing for Online Conversations. PolyU Internal Fund as PI.

• Keyang Ding, Jing Li, and Yuji Zhang.
  Hashtags, Emotions, and Comments: A Large-Scale Dataset to Understand Find-Grained Social Emotions to Online Topics
  EMNLP 2020. (short paper)


• Lingzhi Wang, Jing Li, Xingshan Zeng, Haisong Zhang, and Kam-Fai Wong.
  Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations
  EMNLP 2020.


• Yue Wang, Jing Li, Michael R. Lyu, and Irwin King.
  Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings
  EMNLP 2020.


• Xingshan Zeng, Jing Li, Lu Wang, Zhiming Mao, and Kam-Fai Wong.
  Dynamic Online Conversation Recommendation [Code and Data]
  ACL 2020.


• Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, and Irwin King.
  What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process [Code and Data]
  WWW 2020.


• Ming Liao, Jing Li*, Haisong Zhang, Lingzhi Wang, Xixin Wu, and Kam-Fai Wong.
  Coupling Global and Local Context for Unsupervised Aspect Extraction
  EMNLP 2019.


• Xingshan Zeng, Jing Li, Lu Wang, and Kam-Fai Wong.
  Neural Conversation Recommendation with Online Interaction Modeling [Code and Data]
  EMNLP 2019


• Yue Wang, Jing Li*, Hou Pong Chan, Irwin King, Michael R. Lyu, and Shuming Shi.
  Topic-Aware Neural Keyphrase Generation for Social Media Language [Code and Data]
  ACL 2019.


• Xingshan Zeng, Jing Li*, Lu Wang, and Kam-Fai Wong.
  Joint Effects of Context and User History for Predicting Online Conversation Re-entries [Code and Data]
  ACL 2019.


• Yue Wang, Jing Li*, Irwin King, Michael R. Lyu, and Shuming Shi.
  Microblog Hashtag Generation via Encoding Conversation Contexts
  NAACL 2019.


• Jichuan Zeng, Jing Li*, Yulan He, Cuiyun Gao, Michael R. Lyu, and Irwin King
  What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations [Code and Data]
  TACL 2019 (presented in ACL 2019).


• Jing Li*, Yan Song, Zhongyu Wei, and Kam-Fai Wong
  A Joint Model of Conversational Discourse and Latent Topics on Microblogs
  CL 2018. (Volume 44, Issue 4)


• Jichuan Zeng, Jing Li*, Yan Song, Cuiyun Gao, Michael R. Lyu, and Irwin King
  Topic Memory Networks for Short Text Classification [Code]
  EMNLP 2018.


• Dingmin Wang, Yan Song, Jing Li, Jialong Han, and Haisong Zhang
  A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check [Code and Data]
  EMNLP 2018.


• Xingshan Zeng, Jing Li, Lu Wang, Nicholas Beauchamp, Sarah Schugars, and Kam-Fai Wong
  Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse [Data]
  NAACL 2018.


• Yingyi Zhang, Jing Li, Yan Song, and Chengzhi Zhang
  Encoding Conversation Context for Neural Keyphrase Extraction from Microblog Posts [Data]
  NAACL 2018.


• Jing Li
  Microblog Summarization Using Conversation Structures
  PhD thesis. 2017


• Jing Li, Ming Liao, Wei Gao, Yulan He, and Kam-Fai Wong
  Topic Extraction from Microblog Posts Using Conversation Structures [Data] [Code]
  ACL 2016.


• Jing Li, Wei Gao, Zhongyu Wei, Baolin Peng, and Kam-Fai Wong
  Using Content-level Structures for Summarizing Microblog Repost Trees [Data]
  EMNLP 2015.

* indicates corresponding authors.

• Visiting PhD at Aston University, Birmingham, UK, Jan - Apr, 2016, Supervisor: Prof. Yulan He (Now in University of Warwick.)
• Visiting Scientist at Northeastern University, Boston, USA, Feb - May, 2017, Host: Prof. Lu Wang (Now in University of Michigan.)

• Publication co-chair for EMNLP 2020
• Tutorial co-chair for ICONIP 2020

• 2020: AAAI, ACL, and ICONIP (senior member)
• 2019: ACL, EMNLP, NAACL, and AAAI
• 2018: ACL and EMNLP (Best reviewer award in EMNLP 2018)
• 2017: EACL and EMNLP
• 2016: EMNLP
• 2015: EMNLP

• Spring 2020: [COMP 1433] Introduction to Data Analytics.
• Autumn 2019: [COMP 6701] Advanced Topics in Computer Algorithms (co-teaching with Dr. Jesper Jansson)
• Autumn 2019: [COMP 4122] Game Design and Development (co-teaching with Dr. Ping Li)

• Yuji Zhang, PhD student. Aug 2020-now. Focusing on personalized event recommendation on socal media: EMNLP 2020. Co-supervisor: Dr. Maggie Wenjie Li.
• Junwei Wu, PhD student. To start in Spring 2021. Focusing on discourse analysis for online conversations. Co-supervisor: Dr. Maggie Wenjie Li.
• Zexin Lu, MPhil student. Oct 2019-now. Focusing on open question generation for social media events. Co-supervisor: Prof. Qing Li.
• Junfeng Jiang, Master student. Oct 2019-now. Focusing on doctor recommendation for online medical conversations.
• Keyang Ding, Master student. Oct 2019-now. Focusing on social emotion analysis for online topics: EMNLP 2020.
• Hongliang Sun, Master student. Oct 2019-now. Focusing on representation learning for social media language.
• Yubo Zhang, Undergraduate student. Aug 2020-now. Focusing on representation learning for social media language.
• Zhe Wang, Undergraduate student. Aug 2020-now. Focusing on representation learning for social media language.
• Chunpu Xu, Research Assistant. To start in Oct 2020. Focusing on multimodality learning.
• Jiancheng Wen, Research Assistant. Aug 2020-Feb 2021. Focusing on multimodality learning.

• Yingyi Zhang, PhD student from Nanjing University of Science and Technology. Oct 2017 - May 2018. Focusing on keyphrase extraction: NAACL 2018 and JASIST 2019. Now a visiting PhD in University of Pittsburgh.
• Jichuan Zeng, PhD student from The Chinese University of Hong Kong. Dec 2017 - Aug 2019. Focusing on topic modeling: EMNLP 2018 , TACL 2019, and WWW 2020. Obtained PhD degree in 2019 and now a senior research engineer at ByteDance.
• Yue Wang, PhD student from The Chinese University of Hong Kong. May 2018 - Aug 2019. Focusing on keyphrase generation: NAACL 2019, ACL 2019, and EMNLP 2020.
• Ming Liao, PhD student from The Chinese University of Hong Kong. Oct 2018 - Aug 2019. Focusing on sentiment analysis: EMNLP 2019.
• Lu Ji, Master student from Fudan University. Apr - Aug 2019. Focusing on conversation discourse analysis. Tencent Rhino-Bird Elite Training Program. Graduated in June 2020 and now in Pinduoduo as a research engineer.
• Xiaoxue Liu, Master student from Nanjing University. May - Sep 2018. Focusing on event detection. Graduated in June 2019 and now in Tencent as a research engineer.

• Xingshan Zeng, PhD student from The Chinese University of Hong Kong. Focusing on conversation recommendation: NAACL 2018, ACL 2019, EMNLP 2019, and ACL 2020. Graduated in June 2020 and now in Huawei Noah's ark lab as a researcher.
• Lingzhi Wang, PhD student from The Chinese University of Hong Kong. Focusing on user behavior analysis in social media conversations: EMNLP 2020
• Luyang Lin, PhD student from The Chinese University of Hong Kong. Focusing on media bias on social media.