| 2026 | AAAI | Seeing Is Believing: Grounding Long-Video Understanding in Spatio-Temporal Visual Evidence. | Zhaoyang Wei, Guoliang Wang, Guohua Gao, Yanchao Hao, Mingda Li, Wenchao Ding, Xi Chen, Shizhu He, Xuehui Yu |
| 2026 | WWW | Towards Open-World Retrieval-Augmented Generation on Knowledge Graph: A Multi-Agent Collaboration Framework. | Jiasheng Xu, Mingda Li, Yongqiang Tang, Peijie Wang, Wensheng Zhang |
| 2025 | AAAI | TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations. | Mingze Gao, Jingyu Liu, Mingda Li, Jiangtao Xie, Qingbin Liu, Kevin Zhao, Xi Chen, Hui Xiong |
| 2025 | AAAI | VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding. | Yongxin Guo, Jingyu Liu, Mingda Li, Dingxin Cheng, Xiaoying Tang, Dianbo Sui, Qingbin Liu, Xi Chen, Kevin Zhao |
| 2025 | ICLR | TRACE: Temporal Grounding Video LLM via Causal Event Modeling. | Yongxin Guo, Jingyu Liu, Mingda Li, Qingbin Liu, Xi Chen, Xiaoying Tang |
| 2025 | IJCNLP | ReVision: A Dataset and Baseline VLM for Privacy-Preserving Task-Oriented Visual Instruction Rewriting. | Abhijit Mishra, Mingda Li, Hsiang Fu, Richard Noh, Minji Kim |
| 2025 | IJCNN | Bridging the Language Gap: Enhancing Multilingual Prompt-Based Code Generation in LLMs via Zero-Shot Cross-Lingual Transfer. | Mingda Li, Abhijit Mishra, Utkarsh Mujumdar |
| 2024 | AAAI | SentinelLMs: Encrypted Input Adaptation and Fine-Tuning of Language Models for Private and Secure Inference. | Abhijit Mishra, Mingda Li, Soham Sanjay Deo |
| 2024 | ACL | Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models. | Mingda Li, Xinyu Li, Yifan Chen, Wenfeng Xuan, Weinan Zhang |
| 2024 | EMNLP | PclGPT: A Large Language Model for Patronizing and Condescending Language Detection. | Hongbo Wang, Mingda Li, Junyu Lu, Hebin Xia, Liang Yang, Bo Xu, Ruizhu Liu, Hongfei Lin |
| 2023 | ICASSP | KG-ECO: Knowledge Graph Enhanced Entity Correction For Query Rewriting. | Jinglun Cai, Mingda Li, Ziyan Jiang, Eunah Cho, Zheng Chen, Yang Liu, Xing Fan, Chenlei Guo |
| 2022 | CIKM | Demonstration of LogicLib: An Expressive Multi-Language Interface over Scalable Datalog System. | Mingda Li, Jin Wang, Guorui Xiao, Youfu Li, Carlo Zaniolo |
| 2022 | COLING | SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. | Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu |
| 2021 | ICASSP | ASR N-Best Fusion Nets. | Xinyue Liu, Mingda Li, Luoxin Chen, Prashan Wanigasekara, Weitong Ruan, Haidar Khan, Wael Hamza, Chengwei Su |
| 2021 | ICDE | KDDLog: Performance and Scalability in Knowledge Discovery by Declarative Queries with Aggregates. | Youfu Li, Jin Wang, Mingda Li, Ariyam Das, Jiaqi Gu, Carlo Zaniolo |
| 2020 | CIKM | A Topic and Concept Integrated Model for Thread Recommendation in Online Health Communities. | Mingda Li, Weiting Gao, Yi Chen |
| 2020 | COLING | Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention. | Mingda Li, Xinyue Liu, Weitong Ruan, Luca Soldaini, Wael Hamza, Chengwei Su |
| 2019 | EDBT | An Efficient Sliding Window Approach for Approximate Entity Extraction with Synonyms. | Jin Wang, Chunbin Lin, Mingda Li, Carlo Zaniolo |
| 2018 | CLOUD | RIOS: Runtime Integrated Optimizer for Spark. | Youfu Li, Mingda Li, Ling Ding, Matteo Interlandi |
| 2018 | SIGCOMM | Deep Learning IP Network Representations. | Mingda Li, Cristian Lumezanu, Bo Zong, Haifeng Chen |
| 2017 | CLOUD | Automated debugging in data-intensive scalable computing. | Muhammad Ali Gulzar, Matteo Interlandi, Xueyuan Han, Mingda Li, Tyson Condie, Miryung Kim |
| 2014 | CIKM | Cleanix: A Big Data Cleaning Parfait. | Hongzhi Wang, Mingda Li, Yingyi Bu, Jianzhong Li, Hong Gao, Jiacheng Zhang |
| 2011 | ICNC | A real-time command system based on hand gesture recognition. | Jufeng Yang, Jing Xu, Mingda Li, Dingzhen Zhang, Congchao Wang |