Research Interest

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• Eletronic Design Automation

• High Performance Computing

• Machine Learning

Publications

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Preprints

• Haoyuan Wu, Haisheng Zheng, Zhuolun He, Bei Yu, "Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks". [arxiv] [code]

Conference

• [C8] Fangzhou Liu, Zehua Pei, Ziyang Yu, Haisheng Zheng, Zhuolun He, Tinghuan Chen, Bei Yu, "CBTune: Contextual Bandit Tuning for Logic Synthesis", IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Valencia, Spain, Mar. 25–27, 2024.

• [C7] Yuan Pu, Tinghuan Chen, Zhuolun He, Chen Bai, Haisheng Zheng, Yibo Lin, Bei Yu, "IncreMacro: Incremental Macro Placement Refinement", ACM International Symposium on Physical Design (ISPD), Taipei, Mar. 12–15, 2024. (Best Paper Award Nomination) [paper] [slides]

• [C6] Haisheng Zheng, Zhuolun He, Zehua Pei, Fangzhou Liu, Bei Yu, "LSTP: A Logic Synthesis Timing Predictor", IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), South Korea, Jan. 22–25, 2024. [paper] [slides]

• [C5] Zehua Pei, Fangzhou Liu, Zhuolun He, Guojin Chen, Haisheng Zheng, Keren Zhu, Bei Yu, "AlphaSyn: Logic Synthesis Optimization with Efficient Monte Carlo Tree Search", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), San Francisco, CA, Oct. 29-Nov. 02, 2023. [paper] [slides]

• [C4] Zhuolun He, Haoyuan Wu, Xinyun Zhang, Xufeng Yao, Su Zheng, Haisheng Zheng, Bei Yu, "ChatEDA: A Large Language Model Powered Autonomous Agent for EDA", ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), Utah, Sep. 11-13, 2023. [paper] [arXiv]

• [C3] Zhuolun He, Yihang Zuo, Jiaxi Jiang, Haisheng Zheng, Yuzhe Ma, Bei Yu, "OpenDRC: An Efficient Open-Source Design Rule Checking Engine with Hierarchical GPU Acceleration", ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, Jul. 09–13, 2023. [paper] [slides] [code]

• [C2] Qi Sun, Xinyun Zhang, Hao Geng, Yuxuan Zhao, Yang Bai, Haisheng Zheng, Bei Yu, "GTuner: Tuning DNN Computations on GPU via Graph Attention Network", ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, Jul. 10–14, 2022. [paper] [slides]

• [C1] Wenqian Zhao, Qi Sun, Yang Bai, Haisheng Zheng, Wenbo Li, Bei Yu, Martin D.F. Wong, "A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 1–4, 2021. [paper] [slides]

Journal

• [J2] Haoyuan Wu, Zhuolun He, Xinyun Zhang, Xufeng Yao, Su Zheng, Haisheng Zheng, Bei Yu, "ChatEDA: A Large Language Model Powered Autonomous Agent for EDA", accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
• [J1] Wenqian Zhao, Yang Bai, Qi Sun, Wenbo Li, Haisheng Zheng, Nianjuan Jiang, Jiangbo Lu, Bei Yu, Martin D.F. Wong, "A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 42, no. 10, pp. 3210–3223, 2023. [paper]

Experience

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• We now devote ourselves to work on various topics concerning EDA x ML.

• We also worked on the acceleration of EDA tools via parallel programming.

• We focus on High Performance Computing for AI Applications.