Resume
Academic Achievements
- Papers accepted by NeurIPS, ICML, CVPR, T-PAMI, ECCV, ICLR, and Pattern Recognition; awarded the Baidu Scholarship (one of 10 Ph.D. students worldwide), China National Scholarship for Ph.D. students (highest student honor in China), and Outstanding Graduate of Sichuan province; published a survey on audio-visual learning.
Research Experience
- Visited the Human Sensing Lab at CMU; attended the VALSE 2025 student workshop; gave talks about balanced multimodal learning at Virginia Tech and TechBeat; released MokA, a new PEFT pipeline for MLLMs, ensuring both unimodal and cross-modal adaptation.
Education
- Ph.D. student at the Gaoling School of Artificial Intelligence, Renmin University of China, advised by Prof. Di Hu; Bachelor's degree in Computer Science and Technology from the University of Electronic Science and Technology of China (UESTC) from 2017 to 2021.
Background
- Research interests focus on multimodal learning, including multimodal learning mechanisms and MLLMs.
Miscellany
- Has a WeChat discussion group about balanced multimodal learning.