Yuntao Lu

鲁云涛

About Me

I am currently a third-year Ph.D. student in Computer Science at The Chinese University of Hong Kong (CUHK), under the supervision of Prof. Bei Yu and co-supervised by Prof. Wei Meng 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.

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. Available Here
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. Available Here

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), 2025. Just Accepted
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), 2017. Available Here
Chongchong Xu, Jinhong Zhou, Yuntao Lu, Fan Sun, Lei Gong, Chao Wang, Xi Li, Xuehai Zhou,
"Evaluation and trade-offs of graph processing for cloud services",
IEEE International Conference on Web Services (ICWS), 2017. Available Here

Yuntao Lu, Chao Wang, Lei Hong, Xi Li, Aili Wang and Xuehai Zhou,
"An Overview of Neural Network Accelerators",
High Performance Computing for Big Data, 2017. Available Here

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

Projects: Validations for Intel TensorFlow, and Intel oneAPI AI Analytics Toolkit

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

Projects: Validations and Developments for Optimized AI models and applications on AI-specific chips.

Department of Computer and Science and Engineering Aug. 2023 - At Present, Hong Kong, China
Ph.D. Candidate in Computer Science

School of Information Aug. 2018 - May 2020, Austin, Texas, U.S.
M.S. in Information Studies

School of Computer Science and Technology Sep. 2015 - Jun. 2018, Hefei, Anhui, China
M.S. in Computer Science

School of Information and Software Engineering Sep. 2011 - Jun. 2015, Chengdu, Sichuan, China
B.Eng. in Software Engineering