Weisen Jiang

32 papers A* 8B 1Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dual-balancing for multi-task learning.
Neural Networks
Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu, Ivor W. Tsang, James T. Kwok
2025 J jnl
Domain-guided conditional diffusion model for unsupervised domain adaptation.
Neural Networks
Yulong Zhang, Shuhao Chen, Weisen Jiang, Yu Zhang, Jiangang Lu, James T. Kwok
2025 J jnl
MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders.
IEEE Trans. Pattern Anal. Mach. Intell.
Baijiong Lin, Weisen Jiang, Pengguang Chen, Shu Liu, Ying-Cong Chen
2025 J jnl
MetaDefense: Defending Finetuning-based Jailbreak Attack Before and During Generation.
CoRR
Weisen Jiang, Sinno Jialin Pan
2025 A* conf
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model.
ICML
Baijiong Lin, Weisen Jiang, Yuancheng Xu, Hao Chen, Ying-Cong Chen
2025 J jnl
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model.
CoRR
Baijiong Lin, Weisen Jiang, Yuancheng Xu, Hao Chen, Ying-Cong Chen
2024 — conf
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius.
ECML/PKDD (2)
Xuehao Wang, Weisen Jiang, Shuai Fu, Yu Zhang
2024 J jnl
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius.
CoRR
Xuehao Wang, Weisen Jiang, Shuai Fu, Yu Zhang
2024 — conf
Forward-Backward Reasoning in Large Language Models for Mathematical Verification.
ACL (Findings)
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
2024 A* conf
GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning.
NeurIPS
Yanbin Wei, Shuai Fu, Weisen Jiang, Zejian Zhang, Zhixiong Zeng, Qi Wu, James T. Kwok, Yu Zhang
2024 J jnl
Large Language Models as Visual Cross-Domain Learners.
CoRR
Shuhao Chen, Yulong Zhang, Weisen Jiang, Jiangang Lu, Yu Zhang
2024 — conf
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy.
ECCV (65)
Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James T. Kwok
2024 J jnl
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy.
CoRR
Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James T. Kwok
2024 J jnl
MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders.
CoRR
Baijiong Lin, Weisen Jiang, Pengguang Chen, Shu Liu, Ying-Cong Chen
2024 J jnl
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders.
CoRR
Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen
2024 — conf
MTMamba: Enhancing Multi-task Dense Scene Understanding by Mamba-Based Decoders.
ECCV (70)
Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen
2024 A* conf
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.
ICLR
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
2024 J jnl
Rendering Graphs for Graph Reasoning in Multimodal Large Language Models.
CoRR
Yanbin Wei, Shuai Fu, Weisen Jiang, James T. Kwok, Yu Zhang
2024 A* conf
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models.
NeurIPS
Shuhao Chen, Weisen Jiang, Baijiong Lin, James T. Kwok, Yu Zhang
2024 J jnl
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models.
CoRR
Shuhao Chen, Weisen Jiang, Baijiong Lin, James T. Kwok, Yu Zhang
2023 J jnl
A Scale-Invariant Task Balancing Approach for Multi-Task Learning.
CoRR
Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu
2023 A* conf
An Adaptive Policy to Employ Sharpness-Aware Minimization.
ICLR
Weisen Jiang, Hansi Yang, Yu Zhang, James T. Kwok
2023 J jnl
An Adaptive Policy to Employ Sharpness-Aware Minimization.
CoRR
Weisen Jiang, Hansi Yang, Yu Zhang, James T. Kwok
2023 J jnl
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation.
CoRR
Yulong Zhang, Shuhao Chen, Weisen Jiang, Yu Zhang, Jiangang Lu, James T. Kwok
2023 A* conf
Effective Structured Prompting by Meta-Learning and Representative Verbalizer.
ICML
Weisen Jiang, Yu Zhang, James T. Kwok
2023 J jnl
Effective Structured Prompting by Meta-Learning and Representative Verbalizer.
CoRR
Weisen Jiang, Yu Zhang, James T. Kwok
2023 J jnl
Effective and Parameter-Efficient Reusing Fine-Tuned Models.
CoRR
Weisen Jiang, Baijiong Lin, Han Shi, Yu Zhang, Zhenguo Li, James T. Kwok
2023 J jnl
Forward-Backward Reasoning in Large Language Models for Verification.
CoRR
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
2023 J jnl
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.
CoRR
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
2022 A* conf
Subspace Learning for Effective Meta-Learning.
ICML
Weisen Jiang, James T. Kwok, Yu Zhang
2021 A* conf
Effective Meta-Regularization by Kernelized Proximal Regularization.
NeurIPS
Weisen Jiang, James T. Kwok, Yu Zhang
2021 B conf
SEEN: Few-Shot Classification with SElf-ENsemble.
IJCNN
Weisen Jiang, Yu Zhang, James T. Kwok