Jiang, Weisen

12 publications

NeurIPS 2025 MetaDefense: Defending Fine-Tuning Based Jailbreak Attack Before and During Generation Weisen Jiang, Sinno Jialin Pan

ICML 2025 PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model Baijiong Lin, Weisen Jiang, Yuancheng Xu, Hao Chen, Ying-Cong Chen

ECML-PKDD 2024 Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius Xuehao Wang, Weisen Jiang, Shuai Fu, Yu Zhang

NeurIPS 2024 GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning Yanbin Wei, Shuai Fu, Weisen Jiang, Zejian Zhang, Zhixiong Zeng, Qi Wu, James T. Kwok, Yu Zhang

ECCV 2024 Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James Kwok

ECCV 2024 MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Yingcong Chen

ICLR 2024 MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu

NeurIPS 2024 RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models Shuhao Chen, Weisen Jiang, Baijiong Lin, James T. Kwok, Yu Zhang

ICLR 2023 An Adaptive Policy to Employ Sharpness-Aware Minimization Weisen Jiang, Hansi Yang, Yu Zhang, James Kwok

ICML 2023 Effective Structured Prompting by Meta-Learning and Representative Verbalizer Weisen Jiang, Yu Zhang, James Kwok

ICML 2022 Subspace Learning for Effective Meta-Learning Weisen Jiang, James Kwok, Yu Zhang

NeurIPS 2021 Effective Meta-Regularization by Kernelized Proximal Regularization Weisen Jiang, James T. Kwok, Yu Zhang