Xiaopeng Zhang

Ph.D. Candidate

Department of Computer Science and Engineering
The Chinese University of Hong Kong
Office: Rm 913, Ho Sin Hang Engineering Building, CUHK, Shatin, N.T., Hong Kong SAR
Email: xpzhang[at]cse.cuhk.edu.hk

Biography

I'm a third-year Ph.D. candidate at the Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), under the supervision of Prof. Evangeline F.Y. Young since Fall 2018. Previously, I received my bachelor degree in Software Engineering from Shandong University (SDU) and my master degree in Computer Science and Technology from Beihang University (BUAA). My research interests include machine learning on design for manufacturability and physical design in VLSI CAD.

[J2] Bentian Jiang, Jingsong Chen, Jinwei Liu, Lixin Liu, Fangzhou Wang, Xiaopeng Zhang, and Evangeline F.Y. Young, “CU.POKer: Placing DNNs on WSE with Optimal Kernel Sizing and Efﬁcient Protocol Optimization”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021.

[J1] Yong Chen, Hui Zhang, Xiaopeng Zhang, and Rui Liu, “Regularized Semi-Nonnegative Matrix Factorization for Hashing”, IEEE Transactions on Multimedia, 2017. [paper]

[C7] Xiaopeng Zhang, Haoyu Yang and Evangeline F.Y. Young, “Attentional Transfer is All You Need: Technology-aware Layout Pattern Generation”, The 58th Annual Design Automation Conference (DAC), San Francisco, Dec.5-9, 2021.

[C6] Bentian Jiang, Xiaopeng Zhang, Lixin Liu and Evangeline F.Y. Young, “Building up End-to-end Mask Optimization Framework with Self-training”, ACM International Symposium on Physical Design (ISPD), Virtual Conference, March 21-24, 2021.

[C5] Dan Zheng*, Xiaopeng Zhang*, Chak-Wa Pui, Evangeline F.Y. Young, “Multi-FPGA Co-optimization: Hybrid Routing and Competitive-based Time Division Multiplexing Assignment”, IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC), Tokyo, Japan, Jan. 18-21, 2021 (* co-first authors).

[C4] Xiaopeng Zhang, James Shiely and Evangeline F.Y. Young, “Layout Pattern Generation and Legalization with Generative Learning Models”, The 39h IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Virtual Conference, Nov. 2-5, 2020. [preprint][slides]

[C3] Bentian Jiang*, Jingsong Chen*, Jinwei Liu, Lixin Liu, Fangzhou Wang, Xiaopeng Zhang, Evangeline F. Y. Young, “CU.POKer: Placing DNNs on Wafer-Scale AI Accelerator with Optimal Kernel Sizing”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Virtual Event, Nov. 2–5, 2020 (* co-first authors).

[C2] Bentian Jiang, Xiaopeng Zhang, Ran Chen, Gengjie Chen, Peishan Tu, Wei Li, Evangeline F.Y. Young and Bei Yu, “FIT: Fill Insertion Considering Timing”, The 56th Annual Design Automation Conference (DAC), San Francisco, CA, USA, June 24–29, 2019. [paper]

[C1] Xiaopeng Zhang, Hui Zhang, Yong Chen, and Xianglong Liu, “Large-Margin Supervised Hashing”, International Conference on Neural Information Processing (ICONIP), 2017. [paper]

Second Place Award at Contest on “Wafer-Scale Physics Modeling”	ISPD	2021
First Place Award at Contest on “Wafer-Scale Deep Learning Accelerator Placement”	ISPD	2020
Third Place Award at Contest on “System-level FPGA Routing with Timing Division Multiplexing Technique”	ICCAD	2019
Second Place Award at Contest on “Timing-aware Dummy Fill Insertion”	ICCAD	2018
Full Postgraduate Studentship	CUHK	2018 -
National Scholarship	BUAA	2017