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Zeming Wei
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2020 – today
- 2025
- [c13]Chen Cheng, Xinzhi Yu, Haodong Wen, Jingsong Sun, Guanzhang Yue, Yihao Zhang, Zeming Wei:
Exploring the Robustness of In-Context Learning with Noisy Labels. ICASSP 2025: 1-5 - [c12]Yihao Zhang, Zeming Wei:
Boosting Jailbreak Attack with Momentum. ICASSP 2025: 1-5 - [i24]Huanran Chen, Yinpeng Dong, Zeming Wei, Hang Su, Jun Zhu:
Towards the Worst-case Robustness of Large Language Models. CoRR abs/2501.19040 (2025) - [i23]Zeming Wei, Junyi Lin, Yang Liu, Weixing Chen, Jingzhou Luo, Guanbin Li, Liang Li:
3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians. CoRR abs/2504.11218 (2025) - [i22]Tianqi Du, Zeming Wei, Quan Chen, Chenheng Zhang, Yisen Wang:
Advancing LLM Safe Alignment with Safety Representation Ranking. CoRR abs/2505.15710 (2025) - [i21]Taiye Chen, Zeming Wei, Ang Li, Yisen Wang:
Scalable Defense against In-the-wild Jailbreaking Attacks with Safety Context Retrieval. CoRR abs/2505.15753 (2025) - [i20]Chengcan Wu, Zhixin Zhang, Zeming Wei, Yihao Zhang, Meng Sun:
Mitigating Fine-tuning Risks in LLMs via Safety-Aware Probing Optimization. CoRR abs/2505.16737 (2025) - [i19]Huanran Chen, Yinpeng Dong, Zeming Wei, Yao Huang, Yichi Zhang, Hang Su, Jun Zhu:
Understanding Pre-training and Fine-tuning from Loss Landscape Perspectives. CoRR abs/2505.17646 (2025) - [i18]Zeming Wei, Chengcan Wu, Meng Sun:
ReGA: Representation-Guided Abstraction for Model-based Safeguarding of LLMs. CoRR abs/2506.01770 (2025) - [i17]Zeming Wei, Yiwen Guo, Yisen Wang:
Identifying and Understanding Cross-Class Features in Adversarial Training. CoRR abs/2506.05032 (2025) - 2024
- [j2]Zeming Wei, Xiyue Zhang, Yihao Zhang, Meng Sun
:
Weighted automata extraction and explanation of recurrent neural networks for natural language tasks. J. Log. Algebraic Methods Program. 136: 100907 (2024) - [c11]Julien Piet, Maha Alrashed, Chawin Sitawarin, Sizhe Chen, Zeming Wei, Elizabeth Sun, Basel Alomair, David A. Wagner:
Jatmo: Prompt Injection Defense by Task-Specific Finetuning. ESORICS (1) 2024: 105-124 - [c10]Yihao Zhang, Hangzhou He, Jingyu Zhu, Huanran Chen, Yifei Wang, Zeming Wei:
On the Duality Between Sharpness-Aware Minimization and Adversarial Training. ICML 2024 - [c9]Yifei Wang, Yuyang Wu, Zeming Wei, Stefanie Jegelka, Yisen Wang:
A Theoretical Understanding of Self-Correction through In-context Alignment. NeurIPS 2024 - [c8]Yichuan Mo, Yuji Wang, Zeming Wei, Yisen Wang:
Fight Back Against Jailbreaking via Prompt Adversarial Tuning. NeurIPS 2024 - [c7]Yihao Zhang, Zeming Wei, Jun Sun, Meng Sun:
Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models. NeurIPS 2024 - [c6]Zeming Wei, Yihao Zhang, Meng Sun:
MILE: A Mutation Testing Framework of In-Context Learning Systems. SETTA 2024: 327-343 - [i16]Yichuan Mo, Yuji Wang, Zeming Wei, Yisen Wang:
Studious Bob Fight Back Against Jailbreaking via Prompt Adversarial Tuning. CoRR abs/2402.06255 (2024) - [i15]Yihao Zhang, Hangzhou He, Jingyu Zhu, Huanran Chen, Yifei Wang, Zeming Wei:
On the Duality Between Sharpness-Aware Minimization and Adversarial Training. CoRR abs/2402.15152 (2024) - [i14]Yihao Zhang, Zeming Wei, Jun Sun, Meng Sun:
Towards General Conceptual Model Editing via Adversarial Representation Engineering. CoRR abs/2404.13752 (2024) - [i13]Chen Cheng, Xinzhi Yu, Haodong Wen, Jingsong Sun, Guanzhang Yue, Yihao Zhang, Zeming Wei:
Exploring the Robustness of In-Context Learning with Noisy Labels. CoRR abs/2404.18191 (2024) - [i12]Yihao Zhang, Zeming Wei:
Boosting Jailbreak Attack with Momentum. CoRR abs/2405.01229 (2024) - [i11]Yifei Wang, Yuyang Wu, Zeming Wei, Stefanie Jegelka, Yisen Wang:
A Theoretical Understanding of Self-Correction through In-context Alignment. CoRR abs/2405.18634 (2024) - [i10]Yihao Zhang, Zeming Wei, Meng Sun:
Automata Extraction from Transformers. CoRR abs/2406.05564 (2024) - [i9]Zeming Wei, Yihao Zhang, Meng Sun:
MILE: A Mutation Testing Framework of In-Context Learning Systems. CoRR abs/2409.04831 (2024) - 2023
- [c5]Chufeng Liang
, Zhicheng Hong
, Zeming Wei
, Yongzhang Zhou
, Hua Tang
:
Soil Data Storage Framework based on Blockchain and Improved Merkle Mountain Range. CSAI 2023: 137-145 - [c4]Zeming Wei, Yifei Wang, Yiwen Guo, Yisen Wang:
CFA: Class-Wise Calibrated Fair Adversarial Training. CVPR 2023: 8193-8201 - [c3]Xiaojun Guo, Yifei Wang, Zeming Wei, Yisen Wang:
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning. NeurIPS 2023 - [c2]Yihao Zhang, Zeming Wei, Xiyue Zhang, Meng Sun:
Using Z3 for Formal Modeling and Verification of FNN Global Robustness (S). SEKE 2023: 110-113 - [i8]Zeming Wei, Yifei Wang, Yiwen Guo, Yisen Wang:
CFA: Class-wise Calibrated Fair Adversarial Training. CoRR abs/2303.14460 (2023) - [i7]Yihao Zhang, Zeming Wei, Xiyue Zhang, Meng Sun:
Using Z3 for Formal Modeling and Verification of FNN Global Robustness. CoRR abs/2304.10558 (2023) - [i6]Zeming Wei, Jingyu Zhu, Yihao Zhang:
On the Relation between Sharpness-Aware Minimization and Adversarial Robustness. CoRR abs/2305.05392 (2023) - [i5]Zeming Wei, Xiyue Zhang, Yihao Zhang, Meng Sun:
Weighted Automata Extraction and Explanation of Recurrent Neural Networks for Natural Language Tasks. CoRR abs/2306.14040 (2023) - [i4]Zeming Wei, Yifei Wang, Yisen Wang:
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations. CoRR abs/2310.06387 (2023) - [i3]Xiaojun Guo, Yifei Wang, Zeming Wei, Yisen Wang:
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning. CoRR abs/2311.02687 (2023) - [i2]Julien Piet, Maha Alrashed, Chawin Sitawarin, Sizhe Chen, Zeming Wei, Elizabeth Sun, Basel Alomair, David A. Wagner:
Jatmo: Prompt Injection Defense by Task-Specific Finetuning. CoRR abs/2312.17673 (2023) - 2022
- [c1]Zeming Wei, Xiyue Zhang, Meng Sun:
Extracting Weighted Finite Automata from Recurrent Neural Networks for Natural Languages. ICFEM 2022: 370-385 - [i1]Zeming Wei, Xiyue Zhang, Meng Sun:
Extracting Weighted Finite Automata from Recurrent Neural Networks for Natural Languages. CoRR abs/2206.14621 (2022) - 2020
- [j1]Zeming Wei, Cheolkon Jung, Chen Su:
RegiNet: Gradient guided multispectral image registration using convolutional neural networks. Neurocomputing 415: 193-200 (2020)
Coauthor Index
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last updated on 2025-07-08 20:46 CEST by the dblp team
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