| 2026 | AAAI | Beyond Plain Demos: A Demo-Centric Anchoring Paradigm for In-Context Learning in Alzheimer's Disease Detection. | Puzhen Su, Haoran Yin, Yongzhu Miao, Jintao Tang, Shasha Li, Ting Wang |
| 2025 | SIGIR | Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context Information. | Kehan Long, Shasha Li, Chen Xu, Jintao Tang, Ting Wang |
| 2024 | COLING | Recommending Missed Citations Identified by Reviewers: A New Task, Dataset and Baselines. | Kehan Long, Shasha Li, Pancheng Wang, Chenlong Bao, Jintao Tang, Ting Wang |
| 2024 | ECAI | MPT4LM: Multi-Modal Prompt Tuning Makes Pre-Trained Large Language Models Better Vision-Language Learners. | Yongzhu Miao, Jintao Tang, Shasha Li, Ting Wang |
| 2024 | SIGIR | Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific Summarization. | Pancheng Wang, Shasha Li, Dong Li, Kehan Long, Jintao Tang, Ting Wang |
| 2023 | APWEB | Benefit from AMR: Image Captioning with Explicit Relations and Endogenous Knowledge. | Feng Chen, Xinyi Li, Jintao Tang, Shasha Li, Ting Wang |
| 2023 | DASFAA | Distinguishing Sensitive and Insensitive Options for the Winograd Schema Challenge. | Dong Li, Pancheng Wang, Liangliang He, Kunyuan Pang, Shasha Li, Jintao Tang, Ting Wang |
| 2023 | ICONIP | Retrieval-Augmented GPT-3.5-Based Text-to-SQL Framework with Sample-Aware Prompting and Dynamic Revision Chain. | Chunxi Guo, Zhiliang Tian, Jintao Tang, Shasha Li, Zhihua Wen, Kaixuan Wang, Ting Wang |
| 2023 | PRICAI | Prompting GPT-3.5 for Text-to-SQL with De-semanticization and Skeleton Retrieval. | Chunxi Guo, Zhiliang Tian, Jintao Tang, Pancheng Wang, Zhihua Wen, Kang Yang, Ting Wang |
| 2022 | APWEB | From Less to More: Common-Sense Semantic Perception Benefits Image Captioning. | Feng Chen, Xinyi Li, Jintao Tang, Shasha Li, Ting Wang |
| 2022 | COLING | Multi-Document Scientific Summarization from a Knowledge Graph-Centric View. | Pancheng Wang, Shasha Li, Kunyuan Pang, Liangliang He, Dong Li, Jintao Tang, Ting Wang |
| 2022 | DASFAA | Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation. | Zhiliang Tian, Zhihua Wen, Zhenghao Wu, Yiping Song, Jintao Tang, Dongsheng Li, Nevin L. Zhang |
| 2022 | IJCNN | Integrating Title and Citation Context Semantics of Citing Paper via Weighted Attentions for Local Citation Recommendation. | Kehan Long, Shasha Li, Pancheng Wang, Jintao Tang, Ting Wang |
| 2022 | IJCNN | Multi-source Representation Enhancement for Wikipedia-style Entity Annotation. | Kunyuan Pang, Shasha Li, Jintao Tang, Ting Wang |
| 2022 | UIC | Automatic Detection for Machine-generated Texts is Easy. | Mingyang Lyu, Chenlong Bao, Jintao Tang, Ting Wang, Peilei Liu |
| 2021 | DASFAA | EDKT: An Extensible Deep Knowledge Tracing Model for Multiple Learning Factors. | Liangliang He, Xiao Li, Jintao Tang, Ting Wang |
| 2021 | IJCNN | Looking Back and Forward: Enhancing Image Captioning with Global Semantic Guidance. | Feng Chen, Jintao Tang, Shasha Li, Xinyi Li, Ting Wang |
| 2020 | HealthCom | Classification of resting state EEG data in patients with depression. | Dingzhao Li, Jintao Tang, Yihui Deng, Lvqing Yang |
| 2020 | KSEM | Improving Deep Item-Based Collaborative Filtering with Bayesian Personalized Ranking for MOOC Course Recommendation. | Xiao Li, Xiang Li, Jintao Tang, Ting Wang, Yang Zhang, Hongyi Chen |
| 2020 | WISE | ADKT: Adaptive Deep Knowledge Tracing. | Liangliang He, Jintao Tang, Xiao Li, Ting Wang |
| 2019 | VR | Hybrid Projection For Encoding 360 VR Videos. | Jintao Tang, Xinyu Zhang |
| 2018 | APWEB | Understanding User Interests Acquisition in Personalized Online Course Recommendation. | Xiao Li, Ting Wang, Huaimin Wang, Jintao Tang |
| 2018 | SIGIR | NUDT @ CLSciSumm-18. | Pancheng Wang, Shasha Li, Ting Wang, Haifang Zhou, Jintao Tang |
| 2017 | ISPA | TDAG: A Tunable Distributed Data Processing Model for Data Stream. | Jintao Tang, Xuelian Lin, Yang Shen, Tianyu Wo |
| 2017 | WWW | Syntactic Representation Learning for Open Information Extraction on Web. | Chengsen Ru, Jintao Tang, Shasha Li, Ting Wang |
| 2015 | ECIR | Automatically Assessing Wikipedia Article Quality by Exploiting Article-Editor Networks. | Xinyi Li, Jintao Tang, Ting Wang, Zhunchen Luo, Maarten de Rijke |
| 2015 | WWW | Collaborative Datasets Retrieval for Interlinking on Web of Data. | Haichi Liu, Jintao Tang, Dengping Wei, Peilei Liu, Hong Ning, Ting Wang |
| 2013 | APWEB | Improving Keyphrase Extraction from Web News by Exploiting Comments Information. | Zhunchen Luo, Jintao Tang, Ting Wang |
| 2013 | WWW | Information current in Twitter: which brings hot events to the world. | Peilei Liu, Jintao Tang, Ting Wang |
| 2013 | SIGIR | Who will retweet me?: finding retweeters in twitter. | Zhunchen Luo, Miles Osborne, Jintao Tang, Ting Wang |
| 2013 | WISE | Propagated Opinion Retrieval in Twitter. | Zhunchen Luo, Jintao Tang, Ting Wang |
| 2011 | IJCAI | A Wikipedia Based Semantic Graph Model for Topic Tracking in Blogsphere. | Jintao Tang, Ting Wang, Qin Lu, Ji Wang, Wenjie Li |
| 2011 | WWW | Using complex network features for fast clustering in the web. | Jintao Tang, Ting Wang, Ji Wang, Qin Lu, Wenjie Li |
| 2011 | SIGIR | A bipartite graph based social network splicing method for person name disambiguation. | Jintao Tang, Qin Lu, Ting Wang, Ji Wang, Wenjie Li |
| 2009 | KDD | Efficient social network approximate analysis on blogosphere based on network structure characteristics. | Jintao Tang, Ting Wang, Ji Wang, Dengping Wei |
| 2005 | APWEB | Chinese Named Entity Recognition with a Hybrid-Statistical Model. | Xiaoyan Zhang, Ting Wang, Jintao Tang, Huiping Zhou, Huowang Chen |