IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks. - Ke Sun 009; Mingjie Li 007; Dong Liu 002; Jingdong Wang 001 (BMVC, 2018)

Deep Convolutional Neural Networks with Merge-and-Run Mappings. - Liming Zhao; Mingjie Li 007; Depu Meng; Xi Li 001; Zhaoxiang Zhang 001; Yueting Zhuang; Zhuowen Tu; Jingdong Wang 001 (IJCAI, 2018)

Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability. - Mingjie Li 007; Lingshen He; Zhouchen Lin (ICML, 2020)

Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness. - Ke Sun 013; Mingjie Li 007; Zhouchen Lin (CoRR, 2021)

Optimization inspired Multi-Branch Equilibrium Models. - Mingjie Li 007; Yisen Wang 001; Xingyu Xie; Zhouchen Lin (ICLR, 2022)

CerDEQ: Certifiable Deep Equilibrium Model. - Mingjie Li 007; Yisen Wang 001; Zhouchen Lin (ICML, 2022)

G2CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters. - Mingjie Li 007; Xiaojun Guo; Yifei Wang 001; Yisen Wang 001; Zhouchen Lin (ICML, 2022)

SymNMF-Net for The Symmetric NMF Problem. - Mingjie Li 007; Hao Kong; Zhouchen Lin (CoRR, 2022)

Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States. - Mingjie Li 007; Yifei Wang 001; Yisen Wang 001; Zhouchen Lin (ICLR, 2023)

GEQ: Gaussian Kernel Inspired Equilibrium Models. - Mingjie Li 007; Yisen Wang 001; Zhouchen Lin (NeurIPS, 2023)

ZeroFake: Zero-Shot Detection of Fake Images Generated and Edited by Text-to-Image Generation Models. - Zeyang Sha; Yicong Tan; Mingjie Li 007; Michael Backes 001; Yang Zhang 016 (CCS, 2024)

PID: Prompt-Independent Data Protection Against Latent Diffusion Models. - Ang Li; Yichuan Mo; Mingjie Li 007; Yisen Wang 001 (ICML, 2024)

TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors. - Yichuan Mo; Hui Huang; Mingjie Li 007; Ang Li; Yisen Wang 001 (ICML, 2024)

Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data. - Atilla Akkus; Mingjie Li 007; Junjie Chu 002; Michael Backes 001; Yang Zhang 016; Sinem Sav (CoRR, 2024)

On the Adversarial Transferability of Generalized "Skip Connections". - Yisen Wang 001; Yichuan Mo; Dongxian Wu; Mingjie Li 007; Xingjun Ma; Zhouchen Lin (CoRR, 2024)

MADE: Graph Backdoor Defense with Masked Unlearning. - Xiao Lin; Mingjie Li 007; Yisen Wang 001 (CoRR, 2024)

SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation. - Mingjie Li 007; Wai Man Si; Michael Backes 001; Yang Zhang 016; Yisen Wang 001 (ICLR, 2025)

Are Smarter LLMs Safer? Exploring Safety-Reasoning Trade-offs in Prompting and Fine-Tuning. - Ang Li; Yichuan Mo; Mingjie Li 007; Yifei Wang 001; Yisen Wang 001 (CoRR, 2025)

Excessive Reasoning Attack on Reasoning LLMs. - Wai Man Si; Mingjie Li 007; Michael Backes 001; Yang Zhang 016 (CoRR, 2025)