Li, Mingjie

25 publications

NeurIPS 2025 Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency Yukun Jiang, Mingjie Li, Michael Backes, Yang Zhang

NeurIPS 2025 CoralVQA: A Large-Scale Visual Question Answering Dataset for Coral Reef Image Understanding Hongyong Han, Wei Wang, Gaowei Zhang, Mingjie Li, Yi Wang

AAAI 2025 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

NeurIPS 2025 Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang

AAAI 2025 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

ICLR 2025 SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang

ECCV 2024 Learning with Counterfactual Explanations for Radiology Report Generation Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang

ICML 2024 PID: Prompt-Independent Data Protection Against Latent Diffusion Models Ang Li, Yichuan Mo, Mingjie Li, Yisen Wang

ICML 2024 TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors Yichuan Mo, Hui Huang, Mingjie Li, Ang Li, Yisen Wang

CVPR 2023 Defining and Quantifying the Emergence of Sparse Concepts in DNNs Jie Ren, Mingjie Li, Qirui Chen, Huiqi Deng, Quanshi Zhang

ICML 2023 Does a Neural Network Really Encode Symbolic Concepts? Mingjie Li, Quanshi Zhang

CVPR 2023 Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, Xiaojun Chang

NeurIPS 2023 GEQ: Gaussian Kernel Inspired Equilibrium Models Mingjie Li, Yisen Wang, Zhouchen Lin

NeurIPS 2023 Mask Propagation for Efficient Video Semantic Segmentation Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang

ICLR 2023 Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States Mingjie Li, Yifei Wang, Yisen Wang, Zhouchen Lin

ICML 2022 CerDEQ: Certifiable Deep Equilibrium Model Mingjie Li, Yisen Wang, Zhouchen Lin

CVPR 2022 Cross-Modal Clinical Graph Transformer for Ophthalmic Report Generation Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang

ICML 2022 G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin

ICLR 2022 Optimization Inspired Multi-Branch Equilibrium Models Mingjie Li, Yisen Wang, Xingyu Xie, Zhouchen Lin

ICML 2022 Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs Jie Ren, Mingjie Li, Meng Zhou, Shih-Han Chan, Quanshi Zhang

ICLR 2021 Interpreting and Boosting Dropout from a Game-Theoretic View Hao Zhang, Sen Li, YinChao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang

ICML 2021 Interpreting and Disentangling Feature Components of Various Complexity from DNNs Jie Ren, Mingjie Li, Zexu Liu, Quanshi Zhang

NeurIPS 2021 Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li, Shaobo Wang, Quanshi Zhang

ICML 2020 Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability Mingjie Li, Lingshen He, Zhouchen Lin

IJCAI 2018 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