About me
I am Shang Liu, a second-year PhD student at the Electronic and Computer Engineering Department of the Hong Kong University of Science and Technology (HKUST) advised by Prof. Zhiyao Xie. Before that, I received a bachelor’s degree in EE from Beihang University in 2023. My research interests include the large language model, AI algorithms, and electronic design automation.
Research Interests
- Large Language Model
- AI Algorithm
- Electronic Design Automation
Education
- Ph.D. Electronic and Computer Engineering, the Hong Kong University of Science and Technology, Aug. 2023 - Now
- B.Eng. Electrical Engineering, Beihang University, Sep. 2019 - Jul. 2023
Publication
Shang Liu* Jing WANG*, Wenji Fang, and Zhiyao Xie, “SynCircuit: Automated Generation of New Synthetic RTL Circuits Can Enable Big Data in Circuits”, ACM/IEEE Design Automation Conference (DAC), 2025.
Wenji Fang, Wenkai Li, Shang Liu, Yao Lu, Hongce Zhang, and Zhiyao Xie, “NetTAG: A Multimodal RTL-and-Layout-Aligned Netlist Foundation Model via Text-Attributed Graph”, ACM/IEEE Design Automation Conference (DAC), 2025.
Wenji Fang, Shang Liu, Jing Wang, and Zhiyao Xie, “CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design”, International Conference on Learning Representations (ICLR), 2025.
Shang Liu, Wenji Fang, Yao Lu, Jing Wang, Qijun Zhang, Hongce Zhang, and Zhiyao Xie, “RTLCoder: Fully Open-Source and Efficient LLM-Assisted RTL Code Generation Technique”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025.
Shang Liu, Wenji Fang, Yao Lu, Qijun Zhang, and Zhiyao Xie, “Towards Big Data in AI for EDA Research: Generation of New Pseudo Circuits at RTL Stage”, Asia and South Pacific Design Automation Conference (ASP-DAC), 2025.
Wenji Fang, Shang Liu, Hongce Zhang, and Zhiyao Xie, “A Self-Supervised, Pre-Trained, and Cross-Stage-Aligned Circuit Encoder Provides a Foundation for Various Design Tasks”, Asia and South Pacific Design Automation Conference (ASP-DAC), 2025.
Zhiyuan Yan, Wenji Fang, Mengming Li, Min Li, Shang Liu, Zhiyao Xie, and Hongce Zhang, “AssertLLM: Generating Hardware Verification Assertions from Design Specifications via Multi-LLMs”, Asia and South Pacific Design Automation Conference (ASP-DAC), 2025.
Wenji Fang, Yao Lu, Shang Liu, Qijun Zhang, Ceyu Xu, Lisa Wu Wills, Hongce Zhang, and Zhiyao Xie, “Transferable Pre-Synthesis PPA Estimation for RTL Designs with Data Augmentation Techniques”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025.
Shang Liu*, Yao Lu*, Wenji Fang*, Mengming Li, and Zhiyao Xie, “OpenLLM-RTL: Open Dataset and Benchmark for LLM-Aided Design RTL Generation (Invited)”, International Conference on Computer-Aided Design (ICCAD), 2024.
Shang Liu, Wenji Fang, et al., “Rtlcoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution”, IEEE International Workshop on LLM-Aided Design (LAD) 2024. Best Paper Nomination.
Yao Lu*, Shang Liu*, et al., “RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model”, Asia and South Pacific Design Automation Conference (ASP-DAC) 2024.
Wenji Fang, Shang Liu, et al., “Annotating Slack Directly on Your Verilog: Fine-Grained RTL Timing Evaluation for Early Optimization”, ACM/IEEE Design Automation Conference (DAC) 2024.
Wenji Fang, Yao Lu, Shang Liu, et al., “MasterRTL: A Pre-Synthesis PPA Estimation Framework for Any RTL Design”, IEEE/ACM International Conference on Computer Aided Design (ICCAD) 2023.