Yu Wang (汪玉)
Scholar

Yu Wang (汪玉)

Google Scholar ID: j8JGVvoAAAAJ
Department of Electronic Engineering, Tsinghua University, China
Intelligent Multi-Agent SystemDeep Learning AcceleratorPower/Reliability aware DesignParallel Circuit Simulation
Citations & Impact
All-time
Citations
21,223
 
H-index
63
 
i10-index
212
 
Publications
20
 
Co-authors
116
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • NICS-EFC lab has 8 papers accepted by NeurIPS 2025; Won the 10-Year Retrospective Most Influential Paper Award at ASP-DAC 2024; Research on large model multi-user inference scheduling accepted by MLSys 2025; Published the book 'Efficient Deep Learning: Model Compression and Design'.
Research Experience
  • Leading research directions include: single-agent, multi-agent reinforcement learning algorithms and applications, architecture and system design for domain-specific acceleration, and multi-agent systems.
Background
  • Research Interests: Multi-agent reinforcement learning algorithms, efficient and robust deep learning systems, domain-specific acceleration, multi-agent systems. Brief Introduction: Leader of the Energy Efficient Computing Group at the Nanoscale Integrated Circuits and Systems Lab, Department of Electronic Engineering, Tsinghua University.
Miscellany
  • For more information and video clips, please visit https://space.bilibili.com/642618077