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).

Research Interests

Artificial intelligence for electronic design automation (AI4EDA)
Hardware 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