Weisen Jiang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Diffusion Model

Document Retrieval

Top Venues

Publications

Shuhao Chen, Yulong Zhang, Weisen Jiang, Jiangang Lu, Yu Zhang
Large Language Models as Visual Cross-Domain Learners. CoRR (2024)
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
Forward-Backward Reasoning in Large Language Models for Mathematical Verification. ACL (Findings) (2024)
Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders. CoRR (2024)
Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James T. Kwok
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy. CoRR (2024)
Yanbin Wei, Shuai Fu, Weisen Jiang, James T. Kwok, Yu Zhang
Rendering Graphs for Graph Reasoning in Multimodal Large Language Models. CoRR (2024)
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. ICLR (2024)
Weisen Jiang, Hansi Yang, Yu Zhang, James T. Kwok
An Adaptive Policy to Employ Sharpness-Aware Minimization. ICLR (2023)
Weisen Jiang, Hansi Yang, Yu Zhang, James T. Kwok
An Adaptive Policy to Employ Sharpness-Aware Minimization. CoRR (2023)
Yulong Zhang, Shuhao Chen, Weisen Jiang, Yu Zhang, Jiangang Lu, James T. Kwok
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation. CoRR (2023)
Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu
A Scale-Invariant Task Balancing Approach for Multi-Task Learning. CoRR (2023)
Weisen Jiang, Yu Zhang, James T. Kwok
Effective Structured Prompting by Meta-Learning and Representative Verbalizer. ICML (2023)
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
Forward-Backward Reasoning in Large Language Models for Verification. CoRR (2023)
Weisen Jiang, Baijiong Lin, Han Shi, Yu Zhang, Zhenguo Li, James T. Kwok
Effective and Parameter-Efficient Reusing Fine-Tuned Models. CoRR (2023)
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. CoRR (2023)
Weisen Jiang, Yu Zhang, James T. Kwok
Effective Structured Prompting by Meta-Learning and Representative Verbalizer. CoRR (2023)
Weisen Jiang, James Kwok, Yu Zhang
Subspace Learning for Effective Meta-Learning. ICML (2022)
Weisen Jiang, James Kwok, Yu Zhang
Effective Meta-Regularization by Kernelized Proximal Regularization. NeurIPS (2021)
Weisen Jiang, Yu Zhang, James T. Kwok
SEEN: Few-Shot Classification with SElf-ENsemble. IJCNN (2021)