Architecture
- Efficient Domain-Specific Accelerators (DSA) for LLM/VLA
- Near-Memory / Processing-in-Memory (PIM) Computing
Biography
I am an Assistant Professor in the Microelectronics Thrust at The Hong Kong University of Science and Technology (Guangzhou). Before joining HKUST(GZ), I was a Principal Engineer at Hisilicon, working on next-generation DPUs. I received my Ph.D. in computer science from the National University of Singapore (NUS) in 2022, where I was supervised by Prof. Bingsheng He and collaborated closely with Prof. Weng-Fai Wong and Prof. Deming Chen.
I lead the Custom Computing Lab (CLab) at HKUST(GZ). Our group develops sustainable computing solutions for AI and big data through customized hardware architectures and specialized system designs.
Research Areas
System
- Efficient system design for LLMs/VLAs
- Heterogeneous computing with FPGA, GPU, and NPUs
Algorithm
- Hardware-aware algorithms for efficient AI computing
- Algorithm-system-architecture co-design
Openings
I am actively recruiting self-motivated candidates for the following positions:
- PhD Students
- MPhil Students
- Research Assistants
Applicants with backgrounds in computer engineering, computer science, electronic engineering, or related fields are welcome.
Email your CV and transcriptRecent News
All news →- Paper Five papers, “Sparse by Command”, “Ultra-DSP”, “RidgeBridge”, “SCOPE”, and “MFNNS”, have been accepted to MICRO 2026. Congratulations to Afzal, Chenyu, Chenxi, Hongshi, and Rui for the great work!
- Paper Our paper “MixFP4: Extending NVFP4 to Mixed Micro-Format via Scale-Bit Reuse and Tensor Core Co-design” has been accepted to ICML 2026. Congratulations to Jiaxiang!
- Paper Our paper “UniCore: A Bit-Width Scalable GEMM Unit for Unified LLM Inference” has been accepted to ISCA 2026. Congratulations to Yonghao and Jiaxiang for the great work!
- Paper Our paper “DSTREE: Data-Driven Synchronous Traversals for Decision Forests on GPUs” has been accepted to IPDPS 2026. Congratulations to Bi and Zhenlin for the great work!
- News We received First Prize in the CCF SYS 2025 Graph Computing System Design Challenge. Congratulations to Junnan and Chenxi!
- Paper Two papers, “AxCore: A Quantization-Aware Approximate GEMM Unit for LLM Inference” and “X-SET: An Efficient Graph Pattern Matching Accelerator With Order-Aware Parallel Intersection Units”, have been accepted to MICRO 2025. Congratulations to Jiaxiang, Yonghao, Chenxi, and Xingyu for the great work!
- Paper Our paper “OA-LAMA: An Outlier-Adaptive LLM Inference Accelerator with Memory-Aligned Mixed-Precision Group Quantization” has been accepted to ICCAD 2025. Congratulations to Huangxu for the great work!
- Paper The paper “Rethinking Dynamic Networks and Heterogeneous Computing with Automatic Parallelization” has been accepted to APNet 2025.
- Paper Our paper “Graphitron: A Domain Specific Language for FPGA-Based Graph Processing Accelerator Generation” has been accepted to LCTES 2025.
- Paper The paper “April: Accuracy-Improved Floating-Point Approximation For Neural Network Accelerators” has been accepted to DAC 2025.
- Paper The paper “Clementi: Efficient Load Balancing and Communication Overlap for Multi-FPGA Graph Processing” has been accepted to SIGMOD 2025.
- News Welcome Jiashu Zhang, Chenyu Zhang, Chenxi Xu, and Xingyu Chen to join CLab!
- News Welcome Yonghao Chen to join CLab!
- News Joined HKUST(GZ) as an assistant professor.
Awards
- First Prize, Graph Computing System Design Challenge CCF SYS · 2025
- AMD HACC Outstanding Researcher Award AMD · 2023
- NUS Research Achievement Award National University of Singapore · 2022