Short Bio

I am currently a first-year Ph.D. student in the School of Computer Science at Wuhan University, advised by Prof. Mang Ye. Previously, I received my bachelor degree from the School of Mathematics and Statistics at Wuhan University in 2024. If you are interested in collaborating with me or want to have a chat, always feel free to contact me through e-mail or Wechat.

My research mainly focuses on Multimodal Large Language Models and Parameter-Efficient Fine-Tuning.

📝 Publications

†: equal contribution, * : corresponding author


LoRASculpt
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
Jian Liang, Wenke Huang, Guancheng Wan, Qu yang, Mang Ye*
Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Oral Presentation

SEPM
Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models
Yiyang Fang, Jian Liang, Wenke Huang, He Li, Kehua Su*, Mang Ye*
International Conference on Machine Learning (ICML), 2025
Spotlight

NRCA
Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning
Wenke Huang, Jian Liang, Guancheng Wan, Didi Zhu, He Li, Jiawei Shao, Mang Ye, Bo Du, Dacheng Tao
International Conference on Machine Learning (ICML), 2025

⌛️ Preprint


ThanoRA
ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
Jian Liang, Wenke Huang, Xianda Guo, Guancheng Wan, Bo Du, Mang Ye*
arXiv

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
Wenke Huang, Jian Liang, Xianda Guo, Yiyang Fang, Guancheng Wan, Xuankun Rong, Chi Wen, Zekun Shi, Qingyun Li, Didi Zhu, Yanbiao Ma, Ke Liang, Bin Yang, He Li, Jiawei Shao, Mang Ye*, Bo Du*
arXiv

🎖 Honors and Awards

📖 Educations

  • 2024.09 - now, PhD Student, School of Computer Science, Wuhan University, China.
  • 2020.09 - 2024.06, Bachelor, School of Mathematics and Statistics, Wuhan University, China.