SEEN: Few-Shot Classification with SElf-ENsemble. - Weisen Jiang; Yu Zhang 006; James T. Kwok (IJCNN, 2021)

Effective Meta-Regularization by Kernelized Proximal Regularization. - Weisen Jiang; James T. Kwok; Yu Zhang 006 (NeurIPS, 2021)

Subspace Learning for Effective Meta-Learning. - Weisen Jiang; James T. Kwok; Yu Zhang 006 (ICML, 2022)

An Adaptive Policy to Employ Sharpness-Aware Minimization. - Weisen Jiang; Hansi Yang; Yu Zhang 006; James T. Kwok (ICLR, 2023)

Effective Structured Prompting by Meta-Learning and Representative Verbalizer. - Weisen Jiang; Yu Zhang 006; James T. Kwok (ICML, 2023)

Forward-Backward Reasoning in Large Language Models for Verification. - Weisen Jiang; Han Shi; Longhui Yu; Zhengying Liu; Yu Zhang 006; Zhenguo Li; James T. Kwok (CoRR, 2023)

A Scale-Invariant Task Balancing Approach for Multi-Task Learning. - Baijiong Lin; Weisen Jiang; Feiyang Ye 001; Yu Zhang 006; Pengguang Chen; Ying-Cong Chen; Shu Liu 005 (CoRR, 2023)

Effective and Parameter-Efficient Reusing Fine-Tuned Models. - Weisen Jiang; Baijiong Lin; Han Shi; Yu Zhang 006; Zhenguo Li; James T. Kwok (CoRR, 2023)

Forward-Backward Reasoning in Large Language Models for Mathematical Verification. - Weisen Jiang; Han Shi; Longhui Yu; Zhengying Liu; Yu Zhang 006; Zhenguo Li; James T. Kwok (ACL (Findings), 2024)

Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy. - Tao Li; Weisen Jiang; Fanghui Liu 001; Xiaolin Huang; James T. Kwok (ECCV (65), 2024)

MTMamba: Enhancing Multi-task Dense Scene Understanding by Mamba-Based Decoders. - Baijiong Lin; Weisen Jiang; Pengguang Chen; Yu Zhang 006; Shu Liu 005; Ying-Cong Chen (ECCV (70), 2024)

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. - Longhui Yu; Weisen Jiang; Han Shi; Jincheng Yu; Zhengying Liu; Yu Zhang 006; James T. Kwok; Zhenguo Li; Adrian Weller; Weiyang Liu (ICLR, 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 006 (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 006 (NeurIPS, 2024)

Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius. - Xuehao Wang; Weisen Jiang; Shuai Fu; Yu Zhang 006 (ECML/PKDD (2), 2024)

Large Language Models as Visual Cross-Domain Learners. - Shuhao Chen; Yulong Zhang; Weisen Jiang; Jiangang Lu; Yu Zhang 006 (CoRR, 2024)

Rendering Graphs for Graph Reasoning in Multimodal Large Language Models. - Yanbin Wei; Shuai Fu; Weisen Jiang; James T. Kwok; Yu Zhang 006 (CoRR, 2024)

MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders. - Baijiong Lin; Weisen Jiang; Pengguang Chen; Shu Liu 005; Ying-Cong Chen (CoRR, 2024)

Domain-guided conditional diffusion model for unsupervised domain adaptation. - Yulong Zhang; Shuhao Chen; Weisen Jiang; Yu Zhang 006; Jiangang Lu; James T. Kwok (Neural Networks, 2025)

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