Xuan Shen
Scholar

Xuan Shen

Google Scholar ID: Pvj14ZUAAAAJ
Cornell Tech, Northeastern University
Efficient Deep LearningML SystemsAutoML
Citations & Impact
All-time
Citations
933
 
H-index
15
 
i10-index
18
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • - Publications: ICCAD 2025, CVPR 2025, ICLR 2025 SCI-FM Workshop, AAAI 2025 (3 papers), NeurIPS 2024 (2 papers), TCAD 2024, etc.
  • - Awards: Adobe Reward: 2024 Key Innovations (Tech Transfer Small LLM on Acrobat)
  • - Projects: Released LazyDiT code, Multimodal Opioid Benchmark released on HuggingFace
Research Experience
  • - Current Position: Postdoctoral Associate in the Department of Electrical and Computer Engineering at Cornell Tech, Cornell University, working with Prof. Tianyi Chen on developing efficient AI models tailored for analog computing devices
Education
  • - Ph.D.: ECE Department of Northeastern University, August 2025, Advisor: Prof. Yanzhi Wang
  • - M.S.: Northeastern University, 2020
  • - B.S.: Nanjing University of Science and Technology, 2018
Background
  • Research Interests: Efficient deep learning, with a particular focus on optimizing large foundation models and diffusion models for text and visual generation. Emphasizes scalability, latency reduction, and deployment efficiency across a wide range of hardware platforms, including GPUs, mobile devices, FPGAs, and ASICs.