Yake Wei
Scholar

Yake Wei

Google Scholar ID: i9mWGA0AAAAJ
Renmin University of China
multimodal learning
Citations & Impact
All-time
Citations
1,012
 
H-index
12
 
i10-index
12
 
Publications
17
 
Co-authors
0
 
Resume (English only)
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.
Co-authors
0 total
Co-authors: 0 (list not available)