Scholar
Hao (Mark) Chen
Google Scholar ID: O6ajbEoAAAAJ
Department of Computing, Imperial College London
Citations & Impact
Citations
41
H-index
4
i10-index
1
Publications
14
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- Published papers on rethinking optimal verification granularity for compute-efficient test-time scaling, FW-Merging: Scaling model merging with Frank-Wolfe optimization, exploring code language models for automated HLS-based hardware generation, etc., with some accepted by top conferences like NeurIPS and ICCV.
Research Experience
- Current research directions include multi-token generation for LLMs, LLM quantization for edge deployment, model merging, and code agents for hardware design.
Education
- PhD in Computing Research, Imperial College London, 2024 - 2028 (expected), Advisors: Prof. Wayne Luk and Dr. Hongxiang Fan; MEng in Computing, Imperial College London, 2020 - 2024.
Background
- Research interests: bridging the gap between advanced AI algorithms and hardware platforms through efficient hardware-aware algorithms, cost-effective model merging, ML-assisted hardware design, and algorithm-system co-design. Profile: PhD student at Imperial College London, recipient of the President’s PhD Scholarship.
