RegiNet: Gradient guided multispectral image registration using convolutional neural networks. - Zeming Wei; Cheolkon Jung; Chen Su (Neurocomputing, 2020)

Extracting Weighted Finite Automata from Recurrent Neural Networks for Natural Languages. - Zeming Wei; Xiyue Zhang 001; Meng Sun 002 (ICFEM, 2022)

Soil Data Storage Framework based on Blockchain and Improved Merkle Mountain Range. - Chufeng Liang; Zhicheng Hong; Zeming Wei; Yongzhang Zhou; Hua Tang (CSAI, 2023)

CFA: Class-Wise Calibrated Fair Adversarial Training. - Zeming Wei; Yifei Wang 001; Yiwen Guo; Yisen Wang 001 (CVPR, 2023)

Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning. - Xiaojun Guo; Yifei Wang 001; Zeming Wei; Yisen Wang 001 (NeurIPS, 2023)

Using Z3 for Formal Modeling and Verification of FNN Global Robustness (S). - Yihao Zhang; Zeming Wei; Xiyue Zhang 001; Meng Sun 002 (SEKE, 2023)

Using Z3 for Formal Modeling and Verification of FNN Global Robustness. - Yihao Zhang; Zeming Wei; Xiyue Zhang 001; Meng Sun 002 (CoRR, 2023)

On the Relation between Sharpness-Aware Minimization and Adversarial Robustness. - Zeming Wei; Jingyu Zhu; Yihao Zhang (CoRR, 2023)

Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations. - Zeming Wei; Yifei Wang 001; Yisen Wang 001 (CoRR, 2023)

Jatmo: Prompt Injection Defense by Task-Specific Finetuning. - Julien Piet; Maha Alrashed; Chawin Sitawarin; Sizhe Chen; Zeming Wei; Elizabeth Sun; Basel Alomair; David A. Wagner 001 (ESORICS (1), 2024)

On the Duality Between Sharpness-Aware Minimization and Adversarial Training. - Yihao Zhang; Hangzhou He; Jingyu Zhu; Huanran Chen; Yifei Wang; Zeming Wei (ICML, 2024)

A Theoretical Understanding of Self-Correction through In-context Alignment. - Yifei Wang 001; Yuyang Wu; Zeming Wei; Stefanie Jegelka; Yisen Wang 001 (NeurIPS, 2024)

Fight Back Against Jailbreaking via Prompt Adversarial Tuning. - Yichuan Mo; Yuji Wang; Zeming Wei; Yisen Wang 001 (NeurIPS, 2024)

Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models. - Yihao Zhang; Zeming Wei; Jun Sun 001; Meng Sun 002 (NeurIPS, 2024)

MILE: A Mutation Testing Framework of In-Context Learning Systems. - Zeming Wei; Yihao Zhang; Meng Sun 002 (SETTA, 2024)

Studious Bob Fight Back Against Jailbreaking via Prompt Adversarial Tuning. - Yichuan Mo; Yuji Wang; Zeming Wei; Yisen Wang 001 (CoRR, 2024)

Towards General Conceptual Model Editing via Adversarial Representation Engineering. - Yihao Zhang; Zeming Wei; Jun Sun 001; Meng Sun 002 (CoRR, 2024)

Automata Extraction from Transformers. - Yihao Zhang; Zeming Wei; Meng Sun 002 (CoRR, 2024)

Weighted automata extraction and explanation of recurrent neural networks for natural language tasks. - Zeming Wei; Xiyue Zhang 001; Yihao Zhang; Meng Sun 002 (J. Log. Algebraic Methods Program., 2024)

Exploring the Robustness of In-Context Learning with Noisy Labels. - Chen Cheng; Xinzhi Yu; Haodong Wen; Jingsong Sun; Guanzhang Yue; Yihao Zhang; Zeming Wei (ICASSP, 2025)

Boosting Jailbreak Attack with Momentum. - Yihao Zhang; Zeming Wei (ICASSP, 2025)

Robust and Efficient Watermarking of Large Language Models Using Error Correction Codes. - Xiaokun Luan; Zeming Wei; Yihao Zhang; Meng Sun 002 (Proc. Priv. Enhancing Technol., 2025)

Towards the Worst-case Robustness of Large Language Models. - Huanran Chen; Yinpeng Dong; Zeming Wei; Hang Su; Jun Zhu (CoRR, 2025)

3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians. - Zeming Wei; Junyi Lin; Yang Liu 119; Weixing Chen; Jingzhou Luo; Guanbin Li; Liang Li 003 (CoRR, 2025)

Advancing LLM Safe Alignment with Safety Representation Ranking. - Tianqi Du; Zeming Wei; Quan Chen; Chenheng Zhang; Yisen Wang 001 (CoRR, 2025)

Scalable Defense against In-the-wild Jailbreaking Attacks with Safety Context Retrieval. - Taiye Chen; Zeming Wei; Ang Li; Yisen Wang 001 (CoRR, 2025)

Mitigating Fine-tuning Risks in LLMs via Safety-Aware Probing Optimization. - Chengcan Wu; Zhixin Zhang; Zeming Wei; Yihao Zhang; Meng Sun (CoRR, 2025)

Understanding Pre-training and Fine-tuning from Loss Landscape Perspectives. - Huanran Chen; Yinpeng Dong; Zeming Wei; Yao Huang; Yichi Zhang; Hang Su 006; Jun Zhu 001 (CoRR, 2025)

ReGA: Representation-Guided Abstraction for Model-based Safeguarding of LLMs. - Zeming Wei; Chengcan Wu; Meng Sun (CoRR, 2025)

Identifying and Understanding Cross-Class Features in Adversarial Training. - Zeming Wei; Yiwen Guo; Yisen Wang 001 (CoRR, 2025)

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection. - Chengcan Wu; Zeming Wei; Huanran Chen; Yinpeng Dong; Meng Sun (CoRR, 2025)