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Presenter

Chenhui Deng
Nvidia
Biography
Dr. Chenhui Deng has earned his Ph.D. degree at Cornell University in May, 2024. His Ph.D. research focuses on solving real-world problems on large-scale graph-structured data, specifically including circuit problems. Dr. Deng's research area is in the interdisciplinary field of Machine Learning, Spectral Graph Theory, Electronic Design Automation, and VLSI. Dr. Deng is currently a Research Scientist at NVIDIA working on Large Language Models (LLM) and graph learning for chip design.
Presentations
Research Manuscript
CirSTAG: Circuit Stability Analysis on Graph-based Manifolds*
10:45am - 11:00am PDT Monday, June 23 3000, Level 3
AI
AI1: AI/ML Algorithms
Research Manuscript
ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation
2:45pm - 3:00pm PDT Monday, June 23 3000, Level 3
AI
AI1: AI/ML Algorithms
Networking
Work-in-Progress Poster
ReVEAL: Reverse Engineering of Multiplier Architectures via Graph Learning for Computer Algebra Verification
6:00pm - 7:00pm PDT Sunday, June 22 Level 3 Lobby
Chair of Sessions
Research Manuscript
Smarter Systems: The Future of Hardware Efficiency in AI
10:30am - 12:00pm PDT Tuesday, June 24 3001, Level 3
AI
AI1: AI/ML Algorithms