| 2026 | ACL | Reward Yourself: Efficient Self Rewards for Trustworthy Sampling. | Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang |
| 2026 | ACL | Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs. | Wai Man Si, Mingjie Li, Michael Backes, Yang Zhang |
| 2025 | AAAI | Enhancing Vision-Language Models with Morphological and Taxonomic Knowledge: Towards Coral Recognition for Ocean Health. | Hongyong Han, Wei Wang, Gaowei Zhang, Mingjie Li, Yi Wang |
| 2025 | AAAI | HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation. | Tengfei Liu, Jiapu Wang, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin |
| 2025 | ICIP | Holism To Atomism: Enhancing The Vision-Language Alignment For Cross-Modal Few-Shot Learning. | Boyu Yang, Mingjie Li, Xi Chen, Liang Li, Chao Deng, Junlan Feng |
| 2025 | ICLR | SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation. | Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang |
| 2025 | IECON | Rational-Safe Reinforcement Learning Energy Management for Hybrid Electric Vehicles. | Fei Li, Mingjie Li, Shaokun Li, Yue Wu, Yundong Song, Heng Li |
| 2025 | ISSRE | Predicting the Impact of Parameter Adjustments on Cellular Networks. | Yongqian Sun, Qingliang Zhang, Yu Luo, Mingjie Li, Shenglin Zhang, Xiaolei Hua, Renkai Yu, Xinwen Fan, Lin Zhu, Junlan Feng, Dan Pei |
| 2025 | MICCAI | Towards Interpretable Counterfactual Generation via Multimodal Autoregression. | Chenglong Ma, Yuanfeng Ji, Jin Ye, Lu Zhang, Ying Chen, Tianbin Li, Mingjie Li, Junjun He, Hongming Shan |
| 2024 | CCS | ZeroFake: Zero-Shot Detection of Fake Images Generated and Edited by Text-to-Image Generation Models. | Zeyang Sha, Yicong Tan, Mingjie Li, Michael Backes, Yang Zhang |
| 2024 | ECCV | Contrastive Learning with Counterfactual Explanations for Radiology Report Generation. | Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang |
| 2024 | ICML | PID: Prompt-Independent Data Protection Against Latent Diffusion Models. | Ang Li, Yichuan Mo, Mingjie Li, Yisen Wang |
| 2024 | ICML | TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors. | Yichuan Mo, Hui Huang, Mingjie Li, Ang Li, Yisen Wang |
| 2024 | MICCAI | VertFound: Synergizing Semantic and Spatial Understanding for Fine-Grained Vertebrae Classification via Foundation Models. | Yinhao Wu, Jinzhou Tang, Zequan Yao, Mingjie Li, Yuan Hong, Dongdong Yu, Zhifan Gao, Bin Chen, Shen Zhao |
| 2024 | SAC | Cross-Domain Coral Image Classification Using Dual-Stream Hierarchical Neural Networks. | Hongyong Han, Wei Wang, Gaowei Zhang, Mingjie Li, Yi Wang |
| 2023 | CVPR | Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation. | Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, Xiaojun Chang |
| 2023 | CVPR | Defining and Quantifying the Emergence of Sparse Concepts in DNNs. | Jie Ren, Mingjie Li, Qirui Chen, Huiqi Deng, Quanshi Zhang |
| 2023 | ICLR | Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States. | Mingjie Li, Yifei Wang, Yisen Wang, Zhouchen Lin |
| 2023 | ICML | Does a Neural Network Really Encode Symbolic Concepts? | Mingjie Li, Quanshi Zhang |
| 2023 | ISSRE | An Empirical Analysis of Anomaly Detection Methods for Multivariate Time Series. | Dongwen Li, Shenglin Zhang, Yongqian Sun, Yang Guo, Zeyu Che, Shiqi Chen, Zhenyu Zhong, Minghan Liang, Minyi Shao, Mingjie Li, Shuyang Liu, Yuzhi Zhang, Dan Pei |
| 2023 | WWW | CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data. | Qingyang Yu, Changhua Pei, Bowen Hao, Mingjie Li, Zeyan Li, Shenglin Zhang, Xianglin Lu, Rui Wang, Jiaqi Li, Zhenyu Wu, Dan Pei |
| 2022 | CCGRID | Generic and Robust Performance Diagnosis via Causal Inference for OLTP Database Systems. | Xianglin Lu, Zhe Xie, Zeyan Li, Mingjie Li, Xiaohui Nie, Nengwen Zhao, Qingyang Yu, Shenglin Zhang, Kaixin Sui, Lin Zhu, Dan Pei |
| 2022 | CVPR | Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation. | Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang |
| 2022 | DEXA | Mining Fluctuation Propagation Graph Among Time Series with Active Learning. | Mingjie Li, Minghua Ma, Xiaohui Nie, Kanglin Yin, Li Cao, Xidao Wen, Zhiyun Yuan, Duogang Wu, Guoying Li, Wei Liu, Xin Yang, Dan Pei |
| 2022 | ICLR | Optimization inspired Multi-Branch Equilibrium Models. | Mingjie Li, Yisen Wang, Xingyu Xie, Zhouchen Lin |
| 2022 | ICML | Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs. | Jie Ren, Mingjie Li, Meng Zhou, Shih-Han Chan, Quanshi Zhang |
| 2022 | ICML | CerDEQ: Certifiable Deep Equilibrium Model. | Mingjie Li, Yisen Wang, Zhouchen Lin |
| 2022 | ICML | G | Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin |
| 2022 | KDD | Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition. | Mingjie Li, Zeyan Li, Kanglin Yin, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei |
| 2021 | ICLR | Interpreting and Boosting Dropout from a Game-Theoretic View. | Hao Zhang, Sen Li, Yinchao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang |
| 2021 | ICML | Interpreting and Disentangling Feature Components of Various Complexity from DNNs. | Jie Ren, Mingjie Li, Zexu Liu, Quanshi Zhang |
| 2020 | ICDE | I/O Efficient Approximate Nearest Neighbour Search based on Learned Functions. | Mingjie Li, Ying Zhang, Yifang Sun, Wei Wang, Ivor W. Tsang, Xuemin Lin |
| 2020 | ICML | Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability. | Mingjie Li, Lingshen He, Zhouchen Lin |
| 2018 | BMVC | IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks. | Ke Sun, Mingjie Li, Dong Liu, Jingdong Wang |
| 2018 | DASFAA | An Efficient Exact Nearest Neighbor Search by Compounded Embedding. | Mingjie Li, Ying Zhang, Yifang Sun, Wei Wang, Ivor W. Tsang, Xuemin Lin |
| 2018 | FIE | The DevOps Lab Platform for Managing Diversified Projects in Educating Agile Software Engineering. | Xiaoying Bai, Dan Pei, Mingjie Li, Shanshan Li |
| 2018 | IJCAI | Deep Convolutional Neural Networks with Merge-and-Run Mappings. | Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, Jingdong Wang |
| 2018 | ICSE | Continuous delivery of personalized assessment and feedback in agile software engineering projects. | Xiaoying Bai, Mingjie Li, Dan Pei, Shanshan Li, Deming Ye |
| 2018 | IGARSS | Rotated Region Based Fully Convolutional Network for Ship Detection. | Mingjie Li, Weiwei Guo, Zenghui Zhang, Wenxian Yu, Tao Zhang |