Yu Zhang Ph.D. student Department of Computer Science and Engineering The Chinese University of Hong Kong Email:yuzhang712@link.cuhk.edu.hk

Biography

I am currently a Ph.D. candidate at the Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), under the supervision of Prof. Bei Yu. Previously, I received my B.S. in the Department of Statistics from Central South University. My research interests include machine learning for EDA and EDA for large language models.

Publications

Conference Papers

• Yu Zhang, Hui-Ling Zhen, Mingxuan Yuan, Bei Yu, “DiffSAT: Differential MaxSAT Layer for SAT Solving”, , IEEE/ACM International Conference on Computer-Aided Design (ICCAD), New Jersey, Oct. 27–31, 2024.

• Yu Zhang, Hui-Ling Zhen, Zehua Pei, Yingzhao Lian, Lihao Yin, Mingxuan Yuan, Bei Yu, “DiLA: Enhancing LLM Tool Learning with Differential Logic Layer”, https://arxiv.org/abs/2402.11903.

• Yuan Pu, Fangzhou Liu, Yu Zhang, Zhuolun He, Kai-Yuan Chao, Yibo Lin, Bei Yu, “Lesyn: Placement-aware Logic Resynthesis for Non-Integer Multiple-Cell-Height Designs”, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 23–27, 2024.

• Yu Zhang, Yuan Pu, Fangzhou Liu, Peiyu Liao, Kai-Yuan Chao, Keren Zhu, Yibo Lin and Bei Yu, “Multi-Electrostatics Based Placement for Non-Integer Multiple-Height Cells”, International Symposium on Physical Design (ISPD), March 12–15, 2024.

• Yu Zhang, Wei Lin, Sisi Chen, Qingyu Song, Jiaxun Lu, Yunfeng Shao, Bei Yu and Hong Xu, “Fed2Com: Towards Efficient Compression in Federated Learning”, International Conference on Computing, Networking and Communications (ICNC), Feb. 19–22, 2024.

• Yu Zhang*, Yifan Chen*, Zhonglin Xie, Hong Xu, Zaiwen Wen, Yibo Lin and Bei Yu, “LRSDP: Low-rank SDP for Triple Patterning Lithography Layout Decomposition”, Design Automation Conference (DAC), July 09–13, 2023. (* represents equal contribution)

• Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Hong Xu, Xudong Wang, “More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring”, IEEE International Conference on Cyber, Physical and Social Computing (CPSCom), Aug. 22–25, 2022.

• Yu Zhang, Guoming Tang, Qianyi Huang, Kui Wu, Yangjing Wu, Yi Wang, “Investigating Low-Battery Anxiety of Mobile Users”, IEEE International Conference on Cyber, Physical and Social Computing (CPSCom), Aug. 22–25, 2022.

Journal Papers

• Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Kui Wu, Keping Yu, Xun Shao, “FedNILM: Applying Federated Learning to NILM Applications at the Edge”, IEEE Transactions on Green Communications and Networking (TGCN), Apr. 14, 2022.

Patent

• “一种基于模型松弛的大模型新微调方法”, 92056131CN01.

Experiences

• Research Intern, Huawei Noah's Ark Lab, HKSAR, Aug 2023 - Present
  Topic: Hardware/software co-design for efficient LLM inference; Differential solver layer for LLM

• Research Assistant, The Chinese University of Hong Kong, HKSAR, Nov 2021 - Jul 2022
  Topic: Communication-efficient and convergence fast federated learning

• Research Intern, Microsoft Research Asia, Beijing, P.R. China, Jan 2021 - Aug 2021
  Topic: AISimulator

• Research Intern, Peng Cheng Laboratory, Shenzhen, P.R. China, Jun 2020 - Jan 2021
  Topic: Fedrated Transfer Learning Framework for NILM

• Research Assistant, University of California, Berkeley, CA, U.S.A., Jul 2019 - Feb 2020
  Topic: Highly Adaptive Lasso

Education

• Ph.D. Computer Science and Engineering, The Chinese University of Hong Kong, Aug 2022 - present

• B.S. Statistics, Central South University, Sept 2015 - Jun 2019

Skills

• TOFEL My Best Score: 111, reading 30, listening 29, speaking 24, writing 28
  GRE: 331, verbal 161, quantitative 170, with AW 3.5