Chao Fang
Scholar

Chao Fang

Google Scholar ID: 3wg-QTgAAAAJ
Shanghai Qi Zhi Institute
efficient MLAI acceleratorhardware-software co-designprecision-scalable computingRISC-V
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Citations & Impact
All-time
Citations
401
 
H-index
11
 
i10-index
11
 
Publications
20
 
Co-authors
23
list available
Contact
No contact links provided.
Publications
10 items
CD-PIM: A High-Bandwidth and Compute-Efficient LPDDR5-Based PIM for Low-Batch LLM Acceleration on Edge-Device
2026
Cited
0
A Scheduling Framework for Efficient MoE Inference on Edge GPU-NDP Systems
arXiv.org · 2026
Cited
0
P3-LLM: An Integrated NPU-PIM Accelerator for LLM Inference Using Hybrid Numerical Formats
2025
Cited
0
Precision-Scalable Microscaling Datapaths with Optimized Reduction Tree for Efficient NPU Integration
2025
Cited
0
SnipSnap: A Joint Compression Format and Dataflow Co-Optimization Framework for Efficient Sparse LLM Accelerator Design
2025
Cited
0
APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration
2025
Cited
0
Efficient Precision-Scalable Hardware for Microscaling (MX) Processing in Robotics Learning
2025
Cited
0
Enable Lightweight and Precision-Scalable Posit/IEEE-754 Arithmetic in RISC-V Cores for Transprecision Computing
2025
Cited
0
Resume (English only)
Co-authors
23 total
Zhongfeng Wang
Zhongfeng Wang
Nanjing University
Co-author 2
Co-author 2
Aojun Zhou
Aojun Zhou
The Chinese University of Hong Kong
Jinming Lu
Jinming Lu
University of California, Santa Barbara
Haonan Wang
Haonan Wang
University of Southern California, ISI
Co-author 6
Co-author 6
Co-author 7
Co-author 7
Marian Verhelst
Marian Verhelst
Micas - ESAT - KU Leuven, Belgium