Yuntao Lu

鲁云涛 in Chinese
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 an M.S. in Information Studies at the University of Texas at Austin (UT-Austin) and an 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 Design Verification (DV).

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), ACM, Mar., 2025.
[J1] Yuntao Lu, Lei Gong, Chao Wang, and Xuehai Zhou,
"SparseNN: A Performance-Efficient Accelerator for Large-Scale Sparse Neural Networks", International Journal of Parallel Programming (IJPP), Springer, Aug., 2018.

Conference Papers

[C5] Yuntao Lu, Mingjun Wang, Yihan Wen, Boyu Han, Jianan Mu, Huawei Li, and Bei Yu,
"VIRTUAL: Vector-based Dynamic Power Estimation via Decoupled Multi-Modality Learning", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Munich, Germany, Oct. 26–30, 2025.
[C4] Yuhao Ji, Yuntao Lu, Zuodong Zhang, Zizheng Guo, Yibo Lin, and Bei Yu,
"DiffCCD: Differentiable Concurrent Clock and Data Optimization", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Munich, Germany, Oct. 26–30, 2025.
[C3] Yuntao Lu, Dehua Liang, Siting Liu, Yuhao Ji, Yu Zhang, Xuanqi Chen, Xia Lin, Jinlei Lu, Weihua Sheng, and 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, USA, Sep. 8-10, 2025.
[C2] Yuntao Lu, Lei Gong, Chongchong Xu, Fan Sun, Yiwei Zhang, Chao Wang, and 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.
[C1] Chongchong Xu, Jinhong Zhou, Yuntao Lu, Fan Sun, Lei Gong, Chao Wang, Xi Li, and Xuehai Zhou,
"Evaluation and Trade-offs of Graph Processing for Cloud Services", IEEE International Conference on Web Services (ICWS), Honolulu, USA, Jun. 25-30, 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, Intel-Optimized TensorFlow Framework Validation Team, 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