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Ran ChenPh.D. candidate Department of Computer Science and Engineering
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Biography
Ran Chen is a year four PhD candidate at Department of Computer Science & Engineering, The Chinese University of Hong Kong, supervised by Prof. Bei Yu.
His research interests include Machine Learning application in Pattern Recognition and Electronic Design Automation. Currently he focuses on solving the EDA problems with Casual Inference and Reinforcement Learning.
Publications
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) (Best student paper award)
Ran Chen, Wei Zhong, Haoyu Yang, Hao Geng, Xuan Zeng, Bei Yu, “Faster Region-based Hotspot Detection”, ACM/IEEE Design Automation Conference (DAC), pp. 146:1–146:6, Las Vegas, NV, June 2–6, 2019.
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), pp. 221:1–221:6, Las Vegas, NV, June 2–6, 2019.
Ran Chen, Wei Zhong, Haoyu Yang, Hao Geng, Fan Yang, Xuan Zeng, Bei Yu, “Faster Region-based Hotspot Detection”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 41, no. 3, pp. 669–680, 2022.
Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu, “VLSI Mask Optimization: From Shallow To Deep Learning”, IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), pp. 434–439, Beijing, Jan. 13–16, 2020. (Invited Paper)
Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai, “Dive Deeper Into Box for Object Detection”, European Conference on Computer Vision (ECCV), August 23–28, 2020.
Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu, “VLSI Mask Optimization: From Shallow To Deep Learning”, Integration, the VLSI Journal, vol. 77, Mar., pp. 96–103, 2021.
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)
Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao, “A Unified Framework for Layout Pattern Analysis with Deep Causal Estimation”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 1–4, 2021.
Binwu Zhu, Ran Chen, Xinyun Zhang, Fan Yang, Xuan Zeng, Bei Yu, Martin D.F. Wong, “Hotspot Detection via Multi-task Learning and Transformer Encoder”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 1–4, 2021.
Xufeng Yao, Yang Bai, Xinyun Zhang, Yuechen Zhang, Qi Sun, Ran Chen, Ruiyu Li, Bei Yu, “PCL: Proxy-based Contrastive Learning for Domain Generalization”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Jun. 19–24, 2022.
Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao, “A Unified Framework for Layout Pattern Analysis with Deep Causal Estimation”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)
Selected Honors
Postgraduate Studentship, CUHK, 2018–2022
2nd Place at ICCAD Contest on ‘‘Timing-Aware Fill Insertion’’, 2018
HKRC Director Award, Outstanding Intern Award, Huawei, 2020
Teaching
Fall 2018: ENGG 5105/CSCI 5470: Computer and Network Security
Spring 2019: CSCI 4140: Open-Source Software Project Development
Fall 2019: CSCI 3230: The Fundamentals of Artificial Intelligence
Spring 2020: ENGG 1120: Linear Algebra for Engineers