Scholar
Zhenyu "Allen" Zhang
Google Scholar ID: ZLyJRxoAAAAJ
University of Texas at Austin
Citations & Impact
Citations
2,530
H-index
24
i10-index
30
Publications
20
Co-authors
47
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Named ML and Systems Rising Star in 2025
- Received MLSys'25 Outstanding Paper Award (Honorable Mention) for paper 'APOLLO: SGD-like Memory, AdamW-level Performance'
- Oral presentation at ICML 2024 for 'GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection'
- Published 'H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models' at NeurIPS 2023
- Published 'R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference' at ICLR 2025
- Co-authored multiple papers on efficient training and robustness at ICML 2021 and ICLR 2021, several with equal contribution
Background
- Final-year Ph.D. student in the Department of Electrical and Computer Engineering at UT Austin
- Research focuses on developing Efficient, Scalable, and Steerable machine learning algorithms and systems
- Specific interests include: (i) Scalable Optimization for GenAI Model Training; (ii) Efficient Inference Algorithms; (iii) Long-Context Multimodal Modeling and Generation; (iv) Mechanistic Interpretability & Reasoning Enhancement of Foundation Models
- Previously collaborated with Prof. Beidi Chen at CMU and Dr. Yuandong Tian at Meta to enhance practical AI skills
- Will be on the job market starting Fall 2025, seeking full-time research positions in industry
