Prof. Wei Zhang

Wei Zhang

Professor

Department of Electronic and Computer Engineering

Hong Kong University of Science and Technology

Reconfigurable Computing Systems Lab

Prof. Wei Zhang

Professor, Department of Electronic and Computer Engineering, HKUST

Prof. Wei Zhang leads the Reconfigurable Computing Systems Lab at HKUST. Her research focuses on reconfigurable computing, FPGA-based design, hardware acceleration, secure embedded systems, and electronic design automation. Her group develops efficient computing architectures and design methodologies for high-performance and low-power systems.

Publications Projects Contact More Bio
Reconfigurable Computing FPGA-based Design ML Acceleration Secure Embedded Systems EDA

News

Pinned honor

December 2025

Congratulations to Professor Zhang on being elected an IEEE Fellow for her contributions to agile design flow for FPGA and software-hardware co-design for embedded system security.

Latest Publications

View all

2026 · Nature Communications

Precision Meets Speed Through an FPGA-Based Natively Sparse Ising Machine for Combinatorial Optimization

2026 · ICCAD

APEX-RBD: Mixed-Precision Exploration Framework for Hardware-Efficient Robot Dynamics Accelerator Design

2026 · ICCAD

PICopilot: An LLM-Based Agentic Framework for Assisting Photonic Integrated Circuit Design via Script Generation

2026 · PLDI

NEURA: A Unified and Retargetable Compilation Framework for Coarse-Grained Reconfigurable Architectures

2026 · DATE

A Cluster-Based Distributed Memory Architecture for CGRAs

2026 · ASP-DAC

HERO: Hardware-Efficient RL-Based Optimization Framework for NeRF Quantization

2026 · HPCA

DRACO: A Hardware-Efficient Robot Rigid Body Dynamics Accelerator with Precision-Aware Quantization Framework

2026 · TACAS

EvolveGen: Algorithmic Level Hardware Model Checking Benchmark Generation through Reinforcement Learning

2026 · DATE

DAPO: Design Structure-Aware Pass Ordering in High-Level Synthesis with Graph Contrastive and Reinforcement Learning

2026 · DATE

FORWORD: Accelerating Formal Datapath Verification via Word-Level Sweeping

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Research Areas

The lab works across reconfigurable computing systems, hardware acceleration, embedded security, and design automation.

Reconfigurable Computing

FPGA-based architectures and system-level design for efficient computing.

Hardware Acceleration

Accelerators for machine learning, data-intensive workloads, and embedded applications.

Low-Power Systems

High-performance and energy-efficient multicore and embedded computing systems.

Security & EDA

Secure embedded systems and design automation for reliable hardware platforms.

Openings 

 PhD

We are working in exciting areas of reconfigurable computing, machine learning acceleration, multicore system, embedded systems and electronic design automation. If you are a motivated student with MS or BS degree in Electrical Engineering, Microelectronics, Computer Engineering, Computer Science or related disciplines, and interested in the research areas, please send your CV, transcript, available English test scores to Prof. Zhang.

 Visiting 
 Scholar

We are seeking a motivated postdoctoral fellow in the following areas: reconfigurable computing, machine learning acceleration, multicore system and embedded systems. The research fellow is expected to conduct high quality researches and has opportunities to collaborate with top researchers around the world. The appointment is normally for one year with possible extensions. If interested, please send your CV and representative publications to Prof. Zhang.
The requirements include: (1) A doctor degree in Computer Engineering, Computer Science, Electronic Engineering or Microelectronics. (2) A good publication record in related research areas. (3) Good English writing skills.

Contact

    Room 2449, HKUST

    +852 2358-8170

    wei.zhang@ust.hk