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Qi SUNPost-Doctoral Associate |
Biography
I'm a Post-Doctoral Associate at the School of Electrical and Computer Engineering, Cornell University, under the supervision of Prof. Zhiru Zhang since Fall 2022. Previously, I received my Ph.D. degree from the Dept. of CSE, CUHK, under the supervision of Prof. Bei Yu in Jul. 2022. My research interests include machine learning in EDA, design space exploration, and Deep Neural Network hardware acceleration. My work has been recognized with an ICCAD Best Paper Award, Bronze Medal of ICCAD Student Research Competition, and a Best Paper Award Nomination of DATE.
Publications
Conference papers
[C17] Yuxuan Zhao, Qi Sun#, Zhuolun He, Yang Bai, Bei Yu, "AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution", AAAI Conference on Artificial Intelligence (AAAI), Feb. 7–14, 2023.
[C16] 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.
[C15] Qi Sun, Xinyun Zhang, Hao Geng, Yuxuan Zhao, Yang Bai, Haisheng Zheng, Bei Yu, "GTuner: Tuning DNN Computations on GPU via Graph Attention Network", ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, Jul. 10–14, 2022.
[C14] Xinyun Zhang, Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li, Bei Yu, "Context-based Contrastive Learning for Scene Text Recognition", AAAI Conference on Artificial Intelligence (AAAI), Feb. 22–Mar. 1, 2022.
[C13] Hao Geng, Tinghuan Chen, Qi Sun, Bei Yu, "Techniques for CAD Tool Parameter Auto-tuning in Physical Synthesis: A Survey", IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), Jan. 17–20, 2022. (Invited Paper)
[C12] Qi Sun, Chen Bai, Tinghuan Chen, Hao Geng, Xinyun Zhang, Yang Bai, Bei Yu, "Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning", IEEE International Conference on Computer Vision (ICCV), Oct. 11-17, 2021.
[C11] Wenqian Zhao, Qi Sun, Yang Bai, Haisheng Zheng, Wenbo Li, Bei Yu, Martin D.F. Wong, "A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 1–4, 2021.
[C10] Chen Bai, Qi Sun, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D.F. Wong, "BOOM-Explorer: RISC-V BOOM Microarchitecture Design Space Exploration Framework", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 1–4, 2021. (William J. McCalla Best Paper Award) (link)
[C9] Yang Bai, Xufeng Yao, Qi Sun, Bei Yu, "AutoGTCO: Graph and Tensor Co-Optimize for Image Recognition with Transformers on GPU", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 1–4, 2021.
[C8] Tinghuan Chen, Qi Sun, Bei Yu, "Machine Learning in Nanometer AMS Design for Reliability", IEEE International Conference on ASIC (ASICON), Kunming, Oct. 26–29, 2021.
[C7] Qi Sun, Tinghuan Chen, Siting Liu, Jin Miao, Jianli Chen, Hao Yu, Bei Yu, "Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design", IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Feb. 01–05, 2021. (Best Paper Award Nomination) (link)
[C6] Qi Sun, Chen Bai, Hao Geng, Bei Yu, "Deep Neural Network Hardware Deployment Optimization via Advanced Active Learning", IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Feb. 01–05, 2021.
[C5] Siting Liu, Qi Sun, Peiyu Liao, Yibo Lin, Bei Yu, "Global Placement with Deep Learning-Enabled Explicit Routability Optimization", IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Feb. 01–05, 2021.
[C4] Tinghuan Chen, Qi Sun, Canhui Zhan, Changze Liu, Huatao Yu, Bei Yu, "Analog IC Aging-induced Degradation Estimation via Heterogeneous Graph Convolutional Networks", IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), Jan. 18–21, 2021.
[C3] Qi Sun, Arjun Ashok Rao, Xufeng Yao, Bei Yu, Shiyan Hu, "Counteracting Adversarial Attacks in Autonomous Driving", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Westminster, CO, Nov. 2–5, 2020.
[C2] Qi Sun, Tinghuan Chen, Jin Miao, Bei Yu, "Power-Driven DNN Dataflow Optimization on FPGA", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Westminster, CO, Nov. 4–7, 2019.
[C1] 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.
Journal papers
[J8] Wenqian Zhao, Yang Bai, Qi Sun, Wenbo Li, Haisheng Zheng, Nianjuan Jiang, Jiangbo Lu, Bei Yu, Martin D.F. Wong, "A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU", accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
[J7] Qi Sun, Xufeng Yao, Arjun Ashok Rao, Bei Yu, Shiyan Hu, "Counteracting Adversarial Attacks in Autonomous Driving", accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
[J6] Qi Sun, Tinghuan Chen, Siting Liu, Jianli Chen, Hao Yu, Bei Yu, "Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design", ACM Transactions on Design Automation of Electronic Systems (TODAES), vol. 27, no. 4, 2022.
[J5] Qi Xu, Junpeng Wang, Qi Sun, Bo Yuan, Song Chen, Bei Yu, Yi Kang, Feng Wu, "Reliability-Driven Memristive Crossbar Design in Neuromorphic Computing Systems", IEEE Transactions on Automation Science and Engineering (TASE).
[J4] Guojin Chen, Wanli Chen, Qi Sun, Yuzhe Ma, Haoyu Yang, Bei Yu, "DAMO: Deep Agile Mask Optimization for Full Chip Scale", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 41, no. 9, pp. 3118-3131, Sept. 2022.
[J3] Tinghuan Chen, Qi Sun, Canhui Zhan, Changze Liu, Huatao Yu, Bei Yu, "Deep H-GCN: Fast Analog IC Aging-induced Degradation Estimation", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 41, no. 7, pp. 1990-2003, July 2022.
[J2] Tinghuan Chen, Bin Duan, Qi Sun, Meng Zhang, Guoqing Li, Hao Geng, Qianru Zhang, Bei Yu, "An Efficient Sharing Grouped Convolution via Bayesian Learning", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.
[J1] 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), vol. 40, no. 11, pp. 2331–2344, 2021.
Selected Awards
| Bronze Medal of Student Research Competition Award (link) | ICCAD | 2021 |
| William J. McCalla Best Paper Award | ICCAD | 2021 |
| Best Paper Award Nomination | DATE | 2021 |
| Full Postgraduate Studentship | CUHK | 2018 |
| Outstanding Graduate | XDU | 2018 |
| China National Scholarship | XDU | 2017 |
| The First Class Scholarship | XDU | 2014 - 2016 |
Experience
SmartMore
Research Intern, Heterogeneous Computing Group
Mar. 2020 – Jun. 2022, Hong Kong site
Topic: Deep Neural Network Hardware Acceleration
Teaching
2021 Spring: CENG5030 Energy Efficient (Deep Neural Network) Computing
2020 Fall: CENG4480 – Embedded System Development and Applications
2020 Fall: CMSC5743 – Efficient Computing of Deep Neural Networks
2019 Fall: CSCI3230 – Fundamentals of Artificial Intelligence
2019 Spring: CSCI1020 Hands-on Introduction to C++
2018 Fall: CSCI2720 Building Web Application
Talks
Deep Learning and Artificial Intelligence Summer School 2022 (webpage)
Skills
Languages: C/C++, Vivado HLS C++, Python, CUDA C/C++, LaTeX