Yuntao Lu   鲁云涛 Ph.D. Student Department of Computer Science and Engineering The Chinese University of Hong Kong

Biography

I am currently a Ph.D. student in Computer Science at The Chinese University of Hong Kong (CUHK), under the supervision of Prof. Bei Yu since Fall, 2023. I hold M.S. in Information Studies at the University of Texas at Austin (UT-Austin) and M.S. in Computer Science at The University of Science and Technology of China (USTC) under the supervision of Prof. Xuehai Zhou and Prof. Chao Wang , as well as a B.Eng. in Software Engineering at The University of Electronic Science and Technology of China (UESTC) .

My research interests are Artificial Intelligence for Electronic Design Automation (AI4EDA) and Hardware Verification.

Publications

Journal Papers

• [J2] Yuntao Lu, Chen Bai, Yuxuan Zhao, Ziyue Zheng, Yangdi Lyu, Mingyu Liu, and Bei Yu,
  "DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification",
  ACM Transactions on Design Automation of Electronic Systems (TODAES), 2025.
• [J1] Yuntao Lu, Lei Gong, Chao Wang, Xuehai Zhou,
  "SparseNN: A Performance-Efficient Accelerator for Large-Scale Sparse Neural Networks",
  International Journal of Parallel Programming (IJPP), 2018.

Conference Papers

• [C3] Yuntao Lu, Mingjun Wang, Yihan Wen, Boyu Han, Jianan Mu, Huawei Li, Bei Yu,
  "VIRTUAL: Vector-based Dynamic Power Estimation via Decoupled Multi-Modality Learning",
  IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Munich, Oct. 26–30, 2025.
• [C2] Yuntao Lu, Dehua Liang, Siting Liu, Yuhao Ji, Yu Zhang, Xuanqi Chen, Xia Lin, Jinlei Lu, Weihua Sheng, Bei Yu,
  "A Hybrid Optimization Framework for Power-Efficient Pulsed Latch Utilization in Clock Networks",
  ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD), Santa Cruz, Sep. 8-10, 2025.
• [C1] Yuntao Lu, Lei Gong, Chongchong Xu, Fan Sun, Yiwei Zhang, Chao Wang, Xuehai Zhou,
  "A High-performance FPGA Accelerator for Sparse Neural Networks: Work in Progress",
  International Conference on Compilers, Architectures and Synthesis for Embedded Systems Companion (CASES), Seoul, Oct. 15-20, 2017.

Experience

Hong Kong Research Center, Huawei

• Research Intern, Electronic Design Automation Lab Dec. 2024 - Jun. 2025, Hong Kong, China
  

Intel Asia-Pacific Research & Development Ltd

• Machine Learning Engineer, Artificial Intelligence & Analysis Group Jan. 2022 - Aug. 2023, Shanghai, China
  

Institute of Computing Technology, Chinese Academy of Sciences

• AI Applied Engineer, Intelligent Processor Research Center Aug. 2020 - Dec. 2021, Beijing, China
  

© Yuntao Lu | Last updated: Jan. 2026