研究领域
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
近期论文
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Preprints FLM-101B: An Open LLM and How to Train It with $100K Budget Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Xuying Meng, Siqi Fan, Peng Han, Jing Li, Li Du, Bowen Qin, Zheng Zhang, Aixin Sun and Yequan Wang
2x Faster Language Model Pre-training via Masked Structural Growth Yiqun Yao, Zheng Zhang, Jing Li and Yequan Wang
Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction Xilai Ma, Jing Li and Min Zhang EMNLP-23- Findings of The 2023 Conference on Empirical Methods in Natural Language Processing, 2023.
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.
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.
Few-Shot Named Entity Recognition via Meta-Learning (Extended Abstract) Jing Li, Billy Chiu, Shanshan Feng and Hao Wang ICDE-23- The 39th IEEE International Conference on Data Engineering, 2023.
A Survey on Deep Learning for Named Entity Recognition (Extended Abstract) Jing Li, Aixin Sun, Jianglei Han and Chenliang Li ICDE-23- The 39th IEEE International Conference on Data Engineering, 2023.
GRLSTM: Trajectory Similarity Computation with Graph-based Residual LSTM Silin Zhou, Jing Li, Hao Wang, Shuo Shang, Peng Han AAAI-23- The Thirty-Seventh AAAI Conference on Artificial Intelligence.
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict Yiyi Liu, Yequan Wang, Aixin Sun, Xuying Meng, Jing Li, Jiafeng Guo NAACL-22- Findings of 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics.
Interactive Information Extraction by Semantic Information Graph Siqi Fan, Yequan Wang, Jing Li, Zheng Zhang, Shuo Shang, Peng Han IJCAI-ECAI-22- The 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence, 2022. Acceptance rate: 15%.
FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting Xuan Rao, Hao Wang, Shuo Shang, Liang Zhang, Jing Li, Peng Han IJCAI-ECAI-22- The 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence, 2022. Acceptance rate: 15%.
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.
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.
Sequence Labeling with Meta-Learning Jing Li, Peng Han, Xiangnan Ren, Jilin Hu, Lisi Chen and Shuo Shang IEEE TKDE-21- IEEE Transactions on Knowledge and Data Engineering, 2021, in Press.
Neural Named Entity Boundary Detection Jing Li, Aixin Sun and Yukun Ma IEEE TKDE-21- IEEE Transactions on Knowledge and Data Engineering, 33(4): 1790-1795, 2021.
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.
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.
Few-Shot Named Entity Recognition via Meta-Learning Jing Li, Billy Chiu, Shanshan Feng and Hao Wang IEEE TKDE-20- IEEE Transactions on Knowledge and Data Engineering, 2020, in Press.
HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation Shanshan Feng, Lucas Vinh Tran, Gao Cong, Lisi Chen, Jing Li and Fan Li SIGIR-20- The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020. Acceptance rate: 147/555 (26%).
Contextualized Point-of-Interest Recommendation Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang and Shuo Shang IJCAI-PRICAI-20- The 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence, 2020. Acceptance rate: 592/4717 (12.6%).
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%).
Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks Lisi Chen, Shuo Shang, Bin Yao and Jing Li AAAI-20- The Thirty-Fourth AAAI Conference on Artificial Intelligence. Acceptance rate: 1591/7737 (20.6%).
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%).
Neural Discourse Segmentation Jing Li IJCAI-19- The 28th International Joint Conference on Artificial Intelligence, Pages 6539-6541, 2019. (Demo)
LinkLive: Discovering web learning resources for developers from Q&A discussions Jing Li, Zhenchang Xing and Aixin Sun WWWJ-19- World Wide Web. 22(4), Pages 1699-1725, Springer, 2019.
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, Pages 3391-3397, ACM, 2019. (Short)
Spatial Keyword Search: A Survey Lisi Chen, Shuo Shang, Chengcheng Yang and Jing Li GeoInformatica-19- GeoInformatica. Springer, July 2019. (IF: 2.684)
Subtopic-Driven Multi-Document Summarization Xin Zheng, Aixin Sun, Jing Li and Karthik Muthuswamy EMNLP-IJCNLP-19- 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Pages 3144-3153, 2019. Acceptance rate: 684/2877 (23.8%).
To Do or Not To Do: Distill Crowdsourced Negative Caveats to Augment API Documentation Jing Li, Aixin Sun and Zhenchang Xing JASIST-18- Journal of the Association for Information Science and Technology. Volume 69, Issue 12, Pages 1460-1475, Wiley, 2018.
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%).
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, Pages 1293-1296. ACM, 2018. (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.
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%).
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%).
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%).
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%).
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- Empirical Software Engineering, Springer, Pages 1-41, 2016.
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%).
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%).
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, Pages 673-676, 2015.
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, Pages 399-408, 2015. Acceptance rate: 46/144 (32%).
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