Weisen Jiang

According to our database, Weisen Jiang authored at least 20 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, May, 2025

Domain-guided conditional diffusion model for unsupervised domain adaptation.

Yulong Zhang, Shuhao Chen, Weisen Jiang, Yu Zhang, Jiangang Lu, James T. Kwok

Neural Networks, 2025

2024

MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders.

Baijiong Lin, Weisen Jiang, Pengguang Chen, Shu Liu, Ying-Cong Chen

CoRR, 2024

Rendering Graphs for Graph Reasoning in Multimodal Large Language Models.

Yanbin Wei, Shuai Fu, Weisen Jiang, James T. Kwok, Yu Zhang

CoRR, 2024

Large Language Models as Visual Cross-Domain Learners.

Shuhao Chen, Yulong Zhang, Weisen Jiang, Jiangang Lu, Yu Zhang

CoRR, 2024

Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius.

Xuehao Wang, Weisen Jiang, Shuai Fu, Yu Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MTMamba: Enhancing Multi-task Dense Scene Understanding by Mamba-Based Decoders.

Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy.

Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James T. Kwok

Proceedings of the Computer Vision - ECCV 2024, 2024

Forward-Backward Reasoning in Large Language Models for Mathematical Verification.

Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Effective and Parameter-Efficient Reusing Fine-Tuned Models.

Weisen Jiang, Baijiong Lin, Han Shi, Yu Zhang, Zhenguo Li, James T. Kwok

CoRR, 2023

A Scale-Invariant Task Balancing Approach for Multi-Task Learning.

Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu

CoRR, 2023

Forward-Backward Reasoning in Large Language Models for Verification.

Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok

CoRR, 2023

Effective Structured Prompting by Meta-Learning and Representative Verbalizer.

Weisen Jiang, Yu Zhang, James T. Kwok

Proceedings of the International Conference on Machine Learning, 2023

An Adaptive Policy to Employ Sharpness-Aware Minimization.

Weisen Jiang, Hansi Yang, Yu Zhang, James T. Kwok

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Subspace Learning for Effective Meta-Learning.

Weisen Jiang, James T. Kwok, Yu Zhang

Proceedings of the International Conference on Machine Learning, 2022

2021

Effective Meta-Regularization by Kernelized Proximal Regularization.

Weisen Jiang, James T. Kwok, Yu Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SEEN: Few-Shot Classification with SElf-ENsemble.

Weisen Jiang, Yu Zhang, James T. Kwok

Proceedings of the International Joint Conference on Neural Networks, 2021