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Dr. Jing Li

Professor, Harbin Institute of Technology (Shenzhen), China.

Email: li.jing [AT] hit [DOT] edu [DOT] cn


About Me

Prospective students: I am always looking for strong and motivated Postdoc/PhD/Master/RA students to join my group. Please drop me an email with your CV if you are interested. 详见招生信息

Dr. Jing Li is currently a Professor at Harbin Institute of Technology (Shenzhen) . Prior to that, he was a Research Scientist at the Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, United Arab Emirates. He was a Research Fellow in the School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore. He obtained his PhD degree in Computer Science, at NTU, Singapore in 2018. He received his B.E. and M.E. both from University of Electronic Science and Technology of China (UESTC), China. His research aims to build up semantic Web systems to support information needs of web users via deep text understanding, information extraction, machine intelligent question answering, knowledge representation, as well as social media analysis.

Research Interests
  • Natural Language Processing / Information Retrieval
    • Large Langauge Models and Generative AI (PEFT, safety, etc.)
    • Information Extraction and Knowledge Acquisition (NER, QA, etc.)
    • Knowledgeable NLP (Knowledge Graph, Reasoning, etc.)
    • Trustworthy NLP (Robust/adversarial, Low-resource, etc.)
    • AI for Software Engineering (Documentation Mining, Programming, etc.)
  • Machine Learning
    • Transfer Learning
    • Meta-learning
    • Adversarial Learning
Selected Publications [Full List] [Google Scholar]
Books
    Authors: Xiaoyan Zhu, Jing Li, Yu Hao, Han Xiao and Minlie Huang
    Publisher: Publishing House of Electronics Industry
    ISBN: 9787121389924
    Publish time: June 1st, 2020
    Links: JD.com, Tmall.com



  • A Survey on Deep Learning for Named Entity Recognition
    Jing Li, Aixin Sun, Jianglei Han and Chenliang Li
    IEEE TKDE-22- IEEE Transactions on Knowledge and Data Engineering, 34(1): 50-70, 2022.
    PDF   Abstract   BibTex
  • Rethinking Document-Level Relation Extraction: A Reality Check
    Jing Li, Yequan Wang, Shuai Zhang and Min Zhang
    ACL-23- Findings of The 61st Annual Meeting of the Association for Computational Linguistics, 2023.
    PDF   Abstract   BibTex
  • Few-Shot Relation Extraction With Dual Graph Neural Network Interaction
    Jing Li, Shanshan Feng and Billy Chiu
    IEEE TNNLS-23- IEEE Transactions on Neural Networks and Learning Systems, 2023.
    PDF   Abstract   BibTex
  • Sequence Labeling with Meta-Learning
    Jing Li, Peng Han, Xiangnan Ren, Jilin Hu, Lisi Chen and Shuo Shang
    IEEE TKDE-23- IEEE Transactions on Knowledge and Data Engineering, 35(3): 3072-3086, 2023.
    PDF   Abstract   BibTex
  • Neural Text Segmentation and Its Application to Sentiment Analysis
    Jing Li, Billy Chiu, Shuo Shang and Ling Shao
    IEEE TKDE-22- IEEE Transactions on Knowledge and Data Engineering, 34(2): 828-842, 2022.
    PDF   Abstract   BibTex   Demo
  • Few-Shot Named Entity Recognition via Meta-Learning
    Jing Li, Billy Chiu, Shanshan Feng and Hao Wang
    IEEE TKDE-22- IEEE Transactions on Knowledge and Data Engineering, 34(9): 4245-4256, 2022.
    PDF   Abstract   BibTex
  • Neural Named Entity Boundary Detection
    Jing Li, Aixin Sun and Yukun Ma
    IEEE TKDE-22- IEEE Transactions on Knowledge and Data Engineering, 33(4): 1790-1795, 2021.
    PDF   Abstract   BibTex   Demo
  • Domain Generalization for Named Entity Boundary Detection via Meta-Learning
    Jing Li, Shuo Shang and Lisi Chen
    IEEE TNNLS-21- IEEE Transactions on Neural Networks and Learning Systems, 32(9): 3819-3830, 2021.
    PDF   Abstract   BibTex
  • Leveraging Official Content and Social Context to Recommend Software Documentation
    Jing Li, Zhenchang Xing and Muhammad Ashad Kabir
    IEEE TSC-21- IEEE Transactions on Services Computing, 14(2), 472-486, 2021.
    PDF   Abstract   BibTex
  • MetaNER: Named Entity Recognition with Meta-Learning
    Jing Li, Shuo Shang and Ling Shao
    WWW-20- The Web Conference, 2020. Acceptance rate: 217/1129 (19.2%).
    PDF   Abstract   BibTex
    Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks
    Jing Li, Deheng Ye and Shuo Shang
    IJCAI-19- The 28th International Joint Conference on Artificial Intelligence, Pages 5053-5069, 2019. Acceptance rate: 850/4752 (17.9%).
    PDF   Abstract   BibTex
    SegBot: A Generic Neural Text Segmentation Model with Pointer Network
    Jing Li, Aixin Sun and Shafiq Joty
    IJCAI-18-The 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence. Pages 4166-4172, 2018. Acceptance rate: 710/3470 (20.5%).
    PDF   Abstract   BibTex   Demo
  • Learning to Answer Programming Questions with Software Documentation through Social Context Embedding
    Jing Li, Aixin Sun and Zhenchang Xing
    INS-18- Information Sciences. Volumes 448–449, Pages 36-52, June 2018, Elsevier.
    PDF   Abstract   BibTex