Wei Li PhD Candidate Department of Electrical and Computer Engineering Carnegie Mellon University Office:Seat 2136B, Hamerschlag Hall, Carnegie Mellon University Email:werry715@gmail.com Blog   Github   Resume

Biography

Wei Li is a third year PhD Candidate at the Department of Electrical and Computer Engineering, Carnegie Mellon University (CMU) co-advised by Prof. Shawn Blanton and Prof. Jose Moura. Prior to joining CMU, he has been with the Department of Computer Science and Engineering (CSE) at the Chinese University of Hong Kong (CUHK) for his MPhil title under the supervision of Prof. Bei Yu. He received his bachelor degree in ELITE stream, CSE department from Chung Chi College, CUHK in Nov, 2018.

During his short research career, he was luckily collaborated with Prof. Michael R. Lyu (CUHK), Prof. Yuqun Zhang (SUSTech), Prof. Lingming Zhang (UIUC), Prof. Yibo Lin (PKU), and Prof. David Z. Pan (UT Austin)(in chronological order). With the guidance of these distinguished scholars, he has received three best-paper awards from the software engineering field (ISSTA, 2019), the Artificial Intelligence field (ICTAI, 2019), and the Electronics Design Automation field (ASP-DAC, 2021). He was also the recipient of Apple fellowship in Integrated Systems in 2022.

His research interest includes optimization and GPU-accelerated methods in VLSI design and testing, as well as geometric deep learning and its applications in EDA.

Besides research, he is an ardent supporter of LeBron James (LET'S GO LAKERS We are the champion!). He also enjoys reading, especially historical readings (Those things in the Ming Dynasty) and novels (The Three-Body Problem, Ordinary World). The person he wants to be the most is Choi Taek.

News

Publications

Journal Papers

• Wei Li, Yuzhe Ma, Yibo Lin, Bei Yu, “Adaptive Layout Decomposition with Graph Embedding Neural Networks”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).

• Wei Li, Yuzhe Ma, Qi Sun, Zhang Lu, Yibo Lin, Iris Hui-Ru Jiang, Bei Yu, David Z. Pan, “OpenMPL: An Open Source Layout Decomposer”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).

Conference Papers

• Wei Li, Ruben Purdy, Jose Moura, Shawn Blanton, “Characterize the ability of GNNs in attacking logic locking”, ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), Snowbird, Utah, Sep. 11–13, 2023.

• Wei Li, Fangzhou Wang, Jose Moura, Shawn Blanton, “Global floorplanning via semidefinite programming”, ACM/IEEE Design Automation Conference (DAC), San Francisco, July 9-13, 2023.

• Wei Li, Ruxuan Li, Yuzhe Ma, Siu On Chan, David Pan, Bei Yu, “Rethinking Graph Neural Networks for the Graph Coloring Problem”, arXiv preprint:2208.06975.

• Wei Li, Chris Nigh, Danielle Duvalsaint, Subhasish Mitra, R.D. Blanton, “PEPR: Pseudo-Exhaustive Physical Region Testing”, IEEE International Test Conference (ITC), Sep. 25 - Sep. 30, 2022.

• Wei Li, Guojin Chen, Haoyu Yang, Ran Chen, Bei Yu, “Learning Point Clouds in EDA”, ACM International Symposium on Physical Design (ISPD), Mar. 21–Mar. 24, 2021. (Invited Paper)

• Wei Li, Yuxiao Qu, Gengjie Chen, Yuzhe Ma, Bei Yu, “TreeNet: Deep Point Cloud Embedding for Routing Tree Construction”, IEEE/ACM Asian and South Pacific Design Automation Conference (ASP-DAC), Tokyo, Jan. 18–21, 2021 (Best Paper Award).

• Wei Li, Jialu Xia, Yuzhe Ma, Jialu Li, Yibo Lin, Bei Yu, “Adaptive Layout Decomposition with Graph Embedding Neural Networks”, ACM/IEEE Design Automation Conference (DAC), San Francisco, July 19-23, 2020.

• Husheng Zhou, Wei Li, Yuankun Zhu, Yuqun Zhang, Bei Yu, Lingming Zhang, Cong Liu, “DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems”, ACM/IEEE International Conference on Software Engineering (ICSE), Seoul, May 23–29, 2020. (arXiv).

• Yuzhe Ma, Zhuolun He, Wei Li, Tinghuan Chen, Lu Zhang, Bei Yu, “Understanding Graphs in EDA: From Shallow to Deep Learning”, ACM International Symposium on Physical Design (ISPD), Taipei, Mar. 25–Apr. 01, 2020. (Invited Paper)

• Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu, “A Unified Approximation Framework for Deep Neural Networks”, The IEEE International Conference on Tools with Artificial Intelligence (ICTAI) 2019,(Best Student Paper Award) (arXiv).

• Wei Li, Yuzhe Ma, Qi Sun, Yibo Lin, Iris Hui-Ru Jiang, Bei Yu, David Z. Pan, “OpenMPL: An Open Source Layout Decomposer”, IEEE International Conference on ASIC (ASICON), Chongqing, China, Oct. 29–Nov. 1, 2019. (Invited Paper)

• Xia Li, Wei Li, Yuqun Zhang, Yuqun Zhang, Lingming Zhang “DeepFL: Integrating Multiple Fault Diagnosis Dimensions for Deep Fault Localization”,The ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2019. (Distinguished Paper Award) (arXiv).

• Bentian Jiang, Xiaopeng Zhang, Ran Chen, Gengjie Chen, Peishan Tu, Wei Li, Evangeline F. Y. Young, Bei Yu, “FIT: Fill Insertion Considering Timing”, ACM/IEEE Design Automation Conference (DAC), Las Vegas, NV, June 2–6, 2019.

Selected Honors

• Apple PhD fellowship in Integrated Systems, Apple, 2022

• Faculty Outstanding Thesis Award, Engineering Faculty, CUHK, 2021

• Dean's Fellowship, CMU, 2021

• Asia-Pacific Economic Cooperation Scholarship, Education Bureau, HKSAR Goverment, 2021

• Best Paper Award, ASP-DAC, 2021

• 1st Place Award in EDA elite challenge, Chinese Institute of Electronics, 2020

• Best Student Paper Award, ICTAI, 2019

• Distinguished Paper Award, ISSTA, 2019

• Full Postgraduate Studentship, 2019-2021

• Undergraduate Admission Scholarship, 2015-2018

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