Fangzheng Lin
Scholar

Fangzheng Lin

Google Scholar ID: mnxRwToAAAAJ
Department of Information and Communications Engineering, Institute of Science Tokyo
Computer SecurityComputer ArchitectureHigh Performance ComputingLearned Image Compression
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Citations & Impact
All-time
Citations
51
 
H-index
4
 
i10-index
2
 
Publications
9
 
Co-authors
0
 
Contact
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Publications
2 items
Teapot: Efficiently Uncovering Spectre Gadgets in COTS Binaries
arXiv.org · 2024
Cited
0
Real-Time Video Prediction With Fast Video Interpolation Model and Prediction Training
International Conference on Information Photonics · 2024
Cited
1
Resume (English only)
Academic Achievements
  • Published 'Teapot: Efficiently Uncovering Spectre Gadgets in COTS Binaries' at ACM/IEEE International Symposium on Code Generation and Optimization (CGO) in 2025; Published 'Recoil: Parallel rANS Decoding with Decoder-Adaptive Scalability' at International Conference on Parallel Processing (ICPP) in 2023.
Research Experience
  • Conducting research on Computer Architecture and Security at CARAS Lab; Previously worked on Learned Image Compression, Parallel Processing, and High Performance Computing at Katto Lab.
Education
  • PhD Candidate at CARAS Lab, Department of Information and Communications Engineering, Institute of Science Tokyo (previously Tokyo Institute of Technology); Alumni of Katto Lab, School of Fundamental Science and Engineering, Waseda University.
Background
  • PhD Candidate in Computer Architecture and Security; Research interests include Learned Image Compression, Parallel Processing, and High Performance Computing.
Miscellany
  • Contact: lin.f.f849#m.isct.ac.jp; Funded by the JST ACT-X research grant.
Co-authors
0 total
Co-authors: 0 (list not available)