Yihua Zhang
Scholar

Yihua Zhang

Google Scholar ID: ui-pcWgAAAAJ
Ph.D. Student, Michigan State University
Machine LearningDeep Learning
Citations & Impact
All-time
Citations
1,624
 
H-index
20
 
i10-index
25
 
Publications
20
 
Co-authors
23
list available
Resume (English only)
Academic Achievements
  • Honored with the IBM PhD Fellowship 2024, the CPAL 2025 Rising Star Award hosted by Stanford Data Science, and the MLCommons Rising Star Award in 2024 hosted by NVIDIA.
Research Experience
  • Gained valuable industry experience through internships at leading technology companies such as Bytedance Seed, Meta AI, Amazon AWS AI Lab, and Cisco Research. At Meta AI, built and deployed SOTA fusion and alignment algorithms across 8–10 distinct modalities, which have been integrated into Meta’s internal production systems. At Bytedance Seed, focused on token-efficient multimodal fusion for Seed-VLM pretraining, designing novel optimizers to improve convergence, stability, and token utilization efficiency.
Education
  • Fourth-year Ph.D. student at the OPTML Group, Michigan State University, under the supervision of Prof. Sijia Liu.
Background
  • Research Interests: Trustworthy and scalable machine learning algorithms, particularly for large language models (LLMs), multi-modal language models (MLLM), and diffusion models (DMs). Overview: Committed to bridging theoretical foundations with real-world applications.
Miscellany
  • Currently on the academic and industry job market. Open to collaboration opportunities with researchers, undergraduate, and graduate students.