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Dr. Jing Li

Research Scientist, Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates.

Email: jli030@e.ntu.edu.sg or jing.li@inceptioniai.org


About Me

Dr. Jing Li is currently a Research Scientist at the Inception Institute of Artificial Intelligence (IIAI), United Arab Emirates. Prior to that, 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, under the supervision of Prof. Aixin Sun and Prof. Zhenchang Xing in 2018. He received his B.E. and M.E. in Electrical Engineering from University of Electronic Science and Technology of China (UESTC), China, in 2010 and 2013, respectively. 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
  • Information Retrieval / Natural Language Processing
    • Question answering based on Deep Learning
    • Semantic search
    • Named entity recognition
    • Knowledge graph
    • Software API Documentation mining
  • Compressed Sensing
    • Signal sparse reconstruction
    • MIMO signal processing
  What's New
  July, 2019
Survey: Spatial Keyword Search
  May, 2019
One paper in IJCAI 2019.
  Dec, 2018
Write up a survey: Deep Learning for NER
  Dec, 2018
I will join IIAI, as a Research Scientist.
  Jun, 2018
One paper is accepted by WWWJ.
  May, 2018
One paper is accepted by JASIST.
  Apr, 2018
One paper is accepted by IJCAI 2018.
  Apr, 2018
One Demo is accepted by ACM SIGIR 2018.
Publications [Google Citations]

    Submitted

  1. A Survey on Deep Learning for Named Entity Recognition
    Jing Li, Aixin Sun, Jianglei Han and Chenliang Li
    Journal Under review   arXiv   BibTex
  2. Neural Text Segmentation and Its Application to Sentiment Analysis
    Jing Li, Billy Chiu and Ling Shao
    Journal Under review   SegBot
  3. Neural Named Entity Boundary Detection
    Jing Li, Aixin Sun and Yukun Ma
    Journal Under review   BdryBot

    4. Published

  4. 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. Acceptance rate: 850/4752 (17.9%).
  5. Neural Discourse Segmentation
    Jing Li
    IJCAI-19- The 28th International Joint Conference on Artificial Intelligence. (Demo)
  6. Spatial Keyword Search: A Survey
    Lisi Chen, Shuo Shang, Chengcheng Yang, Jing Li
    GeoInformatica-19- Journal GeoInformatica. Springer, July 2019. (2019 IF: 1.317) PDF
  7. DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets
    Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji
    WWW-19- The Web Conference, pp. 3391-3397, ACM, 2019. (Short) PDF
  8. LinkLive: Discovering web learning resources for developers from Q&A discussions
    Jing Li, Zhenchang Xing and Aixin Sun
    WWWJ-19- Journal World Wide Web. 22(4), pp. 1699-1725, Springer, 2019. (2017 IF: 1.150) PDF
  9. To Do or Not To Do: Distill Crowdsourced Negative Caveats to Augment API Documentation
    Jing Li, Aixin Sun and Zhenchang Xing
    JASIST-18- Journal Journal of the Association for Information Science and Technology. Volume 69, Issue 12, Pages 1460-1475, Wiley, 2018. (2017 IF: 2.835) PDF
  10. 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. pp. 4166-4172, 2018. Acceptance rate: 710/3470 (20.5%). PDF   Website
  11. API Caveat Explorer: Surfacing Nagative Usages from Practice
    Jing Li, Aixin Sun, Zhenchang Xing and Lei Han
    SIGIR-18-The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (Demo). pp. 1293-1296. ACM, 2018.   Website PDF
  12. Learning to Answer Programming Questions with Software Documentation through Social Context Embedding
    Jing Li, Aixin Sun and Zhenchang Xing
    INS-18- Journal Information Sciences. Volumes 448–449, Pages 36-52, June 2018, Elsevier. (2017 IF: 4.305) PDF
  13. Leveraging Official Content and Social Context to Recommend Software Documentation
    Jing Li, Zhenchang Xing and Ashad Kabir
    IEEE TSC-18- Journal IEEE Transactions on Services Computing. IEEE, 2018. (2017 IF: 4.418) PDF
  14. HDSKG: Harvesting Domain Specific Knowledge Graph from Content of Webpages
    Xuejiao Zhao, Zhenchang Xing, Muhammad Ashad Kabir, Naoya Sawada, Jing Li and Shangwei Lin
    SANER-17-The 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering. Acceptance rate: 34/140 (24.3%). PDF
  15. Learning to Extract API Mentions from Informal Natural Language Discussions
    Deheng Ye, Zhenchang Xing, Chee Yong Foo, Jing Li, and Nachiket Kapre
    ICSME-16-The 32nd International Conference on Software Maintenance and Evolution. Acceptance rate: 37/125 (29%). PDF
  16. Software-specific Named Entity Recognition in Software Engineering Social Content
    Deheng Ye, Zhenchang Xing, Chee Yong Foo, Zi Qun Ang, Jing Li and Nachiket Kapre
    SANER-16-The 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering. Acceptance rate: 52/140 (37%). PDF
  17. Extracting and Analyzing Time-Series HCI Data from Screen-Captured Task Videos
    Lingfeng Bao, Jing Li, Zhenchang Xing, Xinyu Wang, Xin xia and Bo Zhou
    EMSE-16- Journal Empirical Software Engineering, Springer, pp.1-41, 2016. (2016 IF: 3.275) PDF
  18. From Discussion to Wisdom: Web Resource Recommendation  for Hyperlinks in Stack Overflow
    Jing Li, Zhenchang Xing, Deheng Ye and Xuejiao Zhao
    SAC-16-The 31st ACM Symposium on Applied Computing,2016. Acceptance rate: 252/1047 (24.07%). PDF
  19. BPMiner: Mining Developers' Behavior Patterns from Screen-Captured Task Videos
    Jing Li, Lingfeng Bao, Zhenchang Xing, Xinyu Wang and Bo Zhou
    SAC-16-The 31st ACM Symposium on Applied Computing,2016. Acceptance rate: 252/1047 (24.07%). PDF
  20. Software-specific Part-of-speech Tagging: An Experimental Study on Stack Overflow
    Deheng Ye, Zhenchang Xing, Jing Li and Nachiket Kapre
    SAC-16-The 31st ACM Symposium on Applied Computing, 2016. Acceptance rate: 252/1047 (24.07%). PDF
  21. scvRipper: Video Scraping Tool for Modeling Developers' Behavior Using Interaction Data
    Lingfeng Bao, Jing Li, Zhenchang Xing, Xinyu Wang and Bo Zhou
    ICSE-15-The 37th International Conference on Software Engineering Tool Demonstrations, vol.2, pp.673-676, 2015. PDF Video
  22. Reverse Engineering Time-Series Interaction Data from Screen-Captured Videos
    Lingfeng Bao, Jing Li, Zhenchang Xing, Xinyu Wang and Bo Zhou
    SANER-15-The 22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering, pp.399-408, 2015. Acceptance rate: 46/144 (32%). PDF Slides GitHub
    23. Before PhD
  23. Applications of Compressed Sensing for Multiple Transmitters Multiple Azimuth Beams SAR Imaging
    Jing Li, Shunsheng Zhang,Junfei Chang
    PIER-12- Journal Progress In Electromagnetics Research, Vol. 127,pp. 259–275, 2012. (2011 IF: 5.298) PDF
  24. Forward-Looking Bistatic SAR Imaging Based On High Order Range Equation And High Order Phase Compensation
    Shunsheng Zhang and Jing Li*
    JEWA-12- JournalJournal of Electromagnetic Waves and Applications, vol.26,nos.17-18,pp.2304-2314,2012. (2011 IF: 2.965) PDF *Corresponding author
  25. Two-Dimensional High Resolution Bistatic SAR Imaging Algorithm Based on Compressed Sensing
    Jing Li, Shunsheng Zhang and Junfei Chang
    CSP-12- JournalChinese Signal Processing, vol.28, no.5,pp. 737-743,2012.
  26. Compressed Sensing for Multiple Azimuth Beams SAR Imaging
    Shunsheng Zhang, Junfei Chang and Jing Li
    CJRS-12- Journal Chinese Journal of Radio Science, vol.27, no.5,pp. 979-984,2012.
  27. Two-Dimensional Random Sparse Sampling for High resolution SAR Imaging based on Compressed Sensing
    Jing Li, Shunsheng Zhang and Junfei Chang
    RadarCon-12-IEEE Radar Conference, pp.01-05,2012. PDF
  28. A Novel Two Dimensional Imaging Algorithm Based on Compressed Sensing for Multi-Channel SAR
    Jing Li, Shunsheng Zhang and Junfei Chang
    EUSAR-12-The 9th European Conference on Synthetic Aperture Radar, pp.619-622, 2012. PDF
  29. Bistatic Forward-Looking SAR Imaging Based on Two-Dimensional Principle of Stationary Phase
    Jing Li and Shunsheng Zhang
    MMWCST-12-2012 International Workshop on Microwave and Millimeter Wave Circuits and System Technology, pp. 107-110,2012. PDF
  30. Geosynchronous SAR image formation based on advanced hyperbolic range equation
    Xiu Wu, Shunsheng Zhang, Jing Li, Wenchen Cao
    IGARSS-12-2012 IEEE International Geoscience and Remote Sensing Symposium, pp. 4042-4045, 2012. PDF
  31. Empirical Study on the Distribution and Growth Trend of Biotechnology Patents in China
    Zhongguo Shi and Jing Li
    iBusiness-12-iBusiness, vol. 4 no. 2,pp. 93-97, 2012. PDF
  32. A Novel SAR Imaging Algorithm Based on Compressed Sensing
    Junfei Chang, Wei Zhang, Shunsheng Zhang and Jing Li
    Radar-11-2011 IEEE CIE International Conference on Radar, pp. 1467-1470,2011. PDF