Husheng Han
Scholar

Husheng Han

Google Scholar ID: lEVvy1QAAAAJ
Institute of Computing Technology, Chinese Academy of Sciences
Computer architectureSecurityDNNDomain-Specific Accelerator
Citations & Impact
All-time
Citations
94
 
H-index
6
 
i10-index
2
 
Publications
16
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in top-tier computer architecture/system conferences/journals, including ASPLOS, DAC, TCAD, and NeurIPS. Some representative publications include:
  • - TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing (ASPLOS 2024)
  • - Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption (DAC 2024)
  • - Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks (TCAD 2023)
  • - ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers (NeurIPS 2021)
Research Experience
  • Conducted research work under the supervision of his advisors during his Ph.D. studies at the Institute of Computing Technology, Chinese Academy of Sciences.
Education
  • Ph.D. Candidate, Institute of Computing Technology, Chinese Academy of Sciences, 2020-Present; B.S., Department of Automation, Tsinghua University, 2016-2020; Supervisors: Prof. Qi Guo, Xing Hu, Yunji Chen.
Background
  • Research Interests: Computer architecture, system security, deep learning systems, and domain-specific accelerators. Particularly focused on building secure and efficient neural network computing systems.