Wentai Zhang's Blog

About

Biography

Wentai Zhang received his B.S. and Ph.D. degrees in Computer Science from Peking University, Beijing, China in 2014 and 2020, respectively. He joined as a Ph.D. student in Center for Energy-Efficient Computing and Applications (CECA) at Peking University from 2014 to 2020. His research interests include heterogeneous systems, deep learning, medical imaging analytics, and electronic design automation. He was a former programming contestant in National Olympiad in Informatics and ACM-ICPC World Finals.

Publications

  • Linjun Qiao, Guojie Luo, Wentai Zhang and Ming Jiang, “FPGA-accelerated Iterative Reconstruction for Transmission Electron Tomography,” 2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), Orlando, FL, USA, 2021, pp. 152-156, doi: 10.1109/FCCM51124.2021.00025.
  • Linjun Qiao, Guojie Luo, Wentai Zhang and Ming Jiang, “FPGA Acceleration of Ray-Based Iterative Algorithm for 3D Low-Dose CT Reconstruction,” 2020 30th International Conference on Field-Programmable Logic and Applications (FPL), Gothenburg, Sweden, 2020, pp. 98-102, doi: 10.1109/FPL50879.2020.00026.
  • Wentai Zhang, Linjun Qiao, William Hsu, Yong Cui, Ming Jiang and Guojie Luo, “FPGA Acceleration for 3D Low-Dose Tomographic Reconstruction,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 40, no. 4, pp. 666-679, 2021, doi: 10.1109/TCAD.2020.3006183.
  • Wentai Zhang, Ming Jiang and Guojie Luo, “Evaluating Low-Memory GEMMs for Convolutional Neural Network Inference on FPGAs,” 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), Fayetteville, AR, USA, 2020, pp. 28-32, doi: 10.1109/FCCM48280.2020.00013.
  • Minghua Shen, Wentai Zhang, Guojie Luo and Nong Xiao, “Serial-Equivalent Static and Dynamic Parallel Routing for FPGAs,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 2, pp. 411-423, 2020, doi: 10.1109/TCAD.2018.2887050.
  • Wentai Zhang, Jiaxi Zhang, Minghua Shen, Guojie Luo and Nong Xiao, “An Efficient Mapping Approach to Large-Scale DNNs on Multi-FPGA Architectures,” 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), Florence, Italy, 2019, pp. 1241-1244, doi: 10.23919/DATE.2019.8715174.
  • Jiaxi Zhang, Wentai Zhang, Guojie Luo, Xuechao Wei, Yun Liang and Jason Cong, “Frequency Improvement of Systolic Array-Based CNNs on FPGAs,” 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan, 2019, doi: 10.1109/ISCAS.2019.8702071.
  • Wentai Zhang, Hanxian Huang, Jiaxi Zhang, Ming Jiang and Guojie Luo, “Adaptive-Precision Framework for SGD Using Deep Q-Learning,” 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), San Diego, CA, USA, 2018, doi: 10.1145/3240765.3240774.
  • Xiuhong Li, Yun Liang, Wentai Zhang, Taide Liu, Haochen Li, Guojie Luo and Ming Jiang. “cuMBIR: An Efficient Framework for Low-dose X-ray CT Image Reconstruction on GPUs,” 2018 ACM International Conference on Supercomputing (ICS), Beijing, China, 2018, pp. 184-194, doi: 10.1145/3205289.3205309.
  • Feng Wang, Jiaxi Zhang, Lange Wu, Wentai Zhang and Guojie Luo, “Search Space Reduction for the Non-Exact Projective NPNP Boolean Matching Problem,” 2017 IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore, MD, 2017, doi: 10.1109/ISCAS.2017.8050970.
  • Baihong Jin, Guojie Luo and Wentai Zhang, “A Fast and Accurate Approach for Common Path Pessimism Removal in Static Timing Analysis,” 2016 IEEE International Symposium on Circuits and Systems (ISCAS), Montreal, QC, Canada, 2016, pp. 2623-2626, doi: 10.1109/ISCAS.2016.7539131.
  • Guojie Luo, Wentai Zhang, Jiaxi Zhang and Jason Cong, “Scaling Up Physical Design: Challenges and Opportunities,” 2016 International Symposium on Physical Design (ISPD), Santa Rosa, CA, USA, 2016, pp. 131-137, doi: 10.1145/2872334.2872342.
  • Wentai Zhang, Li Shen, Thomas Page, Guojie Luo, Peng Li, Ming Jiang, Peter Maass and Jason Cong, “FPGA Acceleration by Asynchronous Parallelization for Simultaneous Image Reconstruction and Segmentation Based on the Mumford-Shah Regularization,” SPIE Optical Engineering + Applications 2015, San Diego, CA, USA, 2015, pp. 96000H:1-12, doi: 10.1117/12.2187898.
  • Chang Xu, Wentai Zhang and Guojie Luo, “Analyzing the Impact of Heterogeneous Blocks on FPGA Placement Quality,” 2014 International Conference on Field-Programmable Technology (FPT), Shanghai, China, 2014, pp. 36-43, doi: 10.1109/FPT.2014.7082750.
  • Peng Li, Thomas Page, Guojie Luo, Wentai Zhang, Pei Wang, Peng Zhang, Peter Maass, Ming Jiang and Jason Cong, “FPGA Acceleration for Simultaneous Medical Image Reconstruction and Segmentation,” 2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), Boston, MA, USA, 2014, pp. 172-172, doi: 10.1109/FCCM.2014.54.

Awards and Honors

  • Winner of SIGDA CADathlon 2018
  • ACM International Collegiate Programming Contest (ACM-ICPC)
    • 36th Annual World Finals of the ACM International Collegiate Programming Contest: Thirteenth Place
    • The 2012 ACM-ICPC Asia Chengdu Regional Contest: Gold Medal
    • The 2011 ACM-ICPC Asia Chengdu Regional Contest: Gold Medal
    • The 2011 ACM-ICPC Asia Shanghai Regional Contest: Gold Medal
    • The 2010 ACM-ICPC Asia Tianjin Regional Contest: Silver Medal
    • The 2010 ACM-ICPC Asia Harbin Regional Contest: Gold Medal
  • National Olympiad in Informatics
    • 2009 National Olympiad in Informatics: Gold Medal
    • 2008 National Olympiad in Informatics: Bronze Medal
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