Yuntao Lu 鲁云涛 Ph.D. Student Department of Computer Science and Engineering The Chinese University of Hong Kong Email: ytlu23[at]cse.cuhk.edu.hk Google Scholar | GitHub | LinkedIn | Curriculum Vitae

About Me

I am currently a second-year Ph.D. student majoring in Computer Science at The Chinese University of Hong Kong (CUHK), supervised by Prof. Bei Yu and co-supervised by Prof. Wei Meng since Fall, 2023. Previously, I received 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) , and 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.

Publications

Journal Papers

• 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

Conference Papers

• 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, 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), 2025. Just Accepted

• Yuhao Ji, Yuntao Lu, Zuodong Zhang, Zizheng Guo, Yibo Lin, Bei Yu,
  "DiffCCD: Differentiable Concurrent Clock and Data Optimization",
  IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 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

• Chongchong Xu, Chao Wang, Lei Gong, Yuntao Lu, Fan Sun, Yiwei Zhang, Xi Li, Xuehai Zhou,
  "OmniGraph: A Scalable Hardware Accelerator for Graph Processing",
  IEEE International Conference on Cluster Computing (CLUSTER), 2017. Available Here

• Yiwei Zhang, Chao Wang, Lei Gong, Yuntao Lu, Fan Sun, Chongchong Xu, Xi Li, Xuehai Zhou,
  "A power-efficient accelerator based on FPGAs for LSTM network",
  IEEE International Conference on Cluster Computing (CLUSTER), 2017. Available Here

• Fan Sun, Chao Wang, Lei Gong, Chongchong Xu, Yiwei Zhang, Yuntao Lu, Xi Li, Xuehai Zhou,
  "A power-efficient accelerator for convolutional neural networks",
  IEEE International Conference on Cluster Computing (CLUSTER), 2017. Available Here

Books

• 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

Experiences

• Intel Asia-Pacific Research & Development Ltd Jan. 2022 - Aug. 2023, Shanghai, China
  Machine Learning Engineer in Artificial Intelligence & Analysis Group
  

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

• Institute of Computing Technology, Chinese Academy of Sciences Aug. 2020 - Dec. 2021, Beijing, China
  AI Applied Engineer in Intelligent Processor Research Center
  

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

Educations

• Department of Computer and Science and Engineering, The Chinese University of Hong Kong Aug. 2023 - At Present, Hong Kong, China
  Ph.D. Candidate in Computer Science
  
• School of Information, The University of Texas at Austin Aug. 2018 - May 2020, Austin, Texas, U.S.
  M.S. in Information Studies
  
• School of Computer Science and Technology, The University of Science and Technology of China Sep. 2015 - Jun. 2018, Hefei, Anhui, China
  M.S. in Computer Science
  
• School of Information and Software Engineering, The University of Electronic Science and Technology of China Sep. 2011 - Jun. 2014, Chengdu, Sichuan, China
  B.Eng. in Software Engineering
  

© Yuntao Lu | Last updated: Jul. 2025