Jian Meng
Scholar

Jian Meng

Google Scholar ID: ei2__0AAAAAJ
Cornell Tech, Cornell University
Hardware-Efficient Machine LearningNeuromorphic ComputingDNN model compressionDNN hardware
Citations & Impact
All-time
Citations
643
 
H-index
13
 
i10-index
18
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • Publications: CVPR’25, ISCAS’25, CICC’25, ICASSP’25, ECCV’24, MICRO’25, IJCNN’24, ICONS’24, Front NeuralSci’24, MLSys’24. Open-sourced Tools: Torch2Chip (end-to-end solution for deep learning model deployment).
Research Experience
  • Collaboration/internship experience with top-tier industrial research facilities and universities including Meta Reality Lab, Texas Instrument, ARM, KAIST, Georgia Tech, and University of Pennsylvania.
Education
  • 2023 - 2025: Ph.D., Electrical Engineering, Cornell University, New York City, USA. Advisor: Dr. Jae-sun Seo; 2019 - 2023: Ph.D., Electrical Engineering, Arizona State University, Tempe, USA. 2016 - 2019: B.S., Electrical Engineering, Portland State University, Portland, USA. Advisor: Dr. Christopher Teuscher.
Background
  • Fifth-year Ph.D. candidate in the Department of Electrical Engineering at Cornell (Tech), with research interests in energy-efficient large language models, drivable 3D computer vision, codec avatars, hardware-aware neuromorphic algorithm design, neural network compression and sparsification, spiking neural networks, and event-based computer vision.
Miscellany
  • Mediocre basketball player