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<title>Qi SUN (孙奇)</title>
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<div class="menu-category">Qi SUN</div>
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<h2>Publications</h2>
<p>* denotes equal contribution, # denotes corresponding author.</p>
<h4>Accepted</h4>
<ul>
<li><p>[J12] Songyu Sun, Xiao Dong, <b>Qi Sun</b>, Xunzhao Yin, Quan Chen, Cheng Zhuo,‘‘Fast Machine-Learning-Driven Supply Noise-Aware Macromodeling for High-Speed Nonlinear Drivers’’, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (<b>TCAD</b>).</p>
</li>
</ul>
<h4>2025</h4>
<ul>
<li><p>[C36] Haomin Li, Fangxin Liu, Zongwu Wang, Dongxu Lyu, Shiyuan Huang, Ning Yang, <b>Qi Sun</b>, Zhuoran Song, Li Jiang, ‘‘TAIL: Exploiting Temporal Asynchronous Execution for Efficient Spiking Neural Networks with Inter-Layer Parallelism’’, Design, Automation and Test in Europe Conference (<b>DATE</b>), Lyon, France, Mar. 31 - Apr. 02, 2025.
</p>
</li>
<li><p>[C34] Haonan Du, Chenyi Wen, Zhengrui Chen, Li Zhang, <b>Qi Sun</b>, Zheyu Yan, Cheng Zhuo, ‘‘Algorithm-Hardware Co-design of a Unified Accelerator for Non-linear Functions in Transformers’’, Design, Automation and Test in Europe Conference (<b>DATE</b>), Lyon, France, Mar. 31 - Apr. 02, 2025. </p>
</li>
</ul>
<h4>2024</h4>
<ul>
<li><p>[C33] Bohao Li, Shizhang Wang, Tinghuan Chen, <b>Qi Sun</b>, Cheng Zhuo, ‘‘Efficient Subgraph Matching Framework for Fast Subcircuit Identification’’, 6th ACM/IEEE International Symposium on Machine Learning for CAD (<b>MLCAD</b>), Utah, Sept. 9-11, 2024. </p>
</li>
<li><p>[C32] Xudong Lu, Yuqi Jiang, Haiwen Hong, <b>Qi Sun#</b>, Cheng Zhuo#, ‘‘DCAFuse: Dual-Branch Diffusion-CNN Complementary Feature Aggregation Network for Multi-Modality Image Fusion’’, ACM International Conference on Multimedia (<b>MM</b>), Melbourne, Australia, Oct. 28-Nov. 01, 2024.</p>
</li>
<li><p>[C31] Lvcheng Chen, Ying Wu, Chenyi Wen, Shizhang Wang, Li Zhang, Bei Yu, <b>Qi Sun#</b>, Cheng Zhuo#,‘‘An Agile Framework for Efficient LLM Accelerator Development and Model Inference’’, IEEE/ACM International Conference on Computer-Aided Design (<b>ICCAD</b>), New Jersey, Oct. 27–31, 2024. <b><font color="Red">(William J. McCalla Best Paper Award)</font></b></p>
</li>
<li><p>[C30] Qian Jin, Yuqi Jiang, Xudong Lu, Yumeng Liu, Yining Chen, Dawei Gao, <b>Qi Sun#</b>, Cheng Zhuo#,‘‘SEM-CLIP: Precise Few-Shot Learning for Nanoscale Defect Detection in Scanning Electron Microscope Image’’, IEEE/ACM International Conference on Computer-Aided Design (<b>ICCAD</b>), New Jersey, Oct. 27–31, 2024.</p>
</li>
<li><p>[C29] Yuqi Jiang, Xudong Lu, Qian Jin, <b>Qi Sun#</b>, Hanming Wu, Cheng Zhuo#,‘‘FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries’’, IEEE/ACM International Conference on Computer-Aided Design (<b>ICCAD</b>), New Jersey, Oct. 27–31, 2024. (<a href="https://arxiv.org/abs/2407.10810" target=“blank”>arXiv</a>)</p>
</li>
<li><p>[C28] Shangran Lin, Xinrui Zhu, Baohui Xie, Tinghuan Chen#, Cheng Zhuo, <b>Qi Sun#</b>, Bei Yu, “RISCSparse: Point Cloud Inference Engine on RISC-V Processor”, IEEE/ACM International Conference on Computer-Aided Design (<b>ICCAD</b>), New Jersey, Oct. 27–31, 2024.</p>
</li>
<li><p>[C27] Yuanhang Gao*, Donger Luo*, Chen Bai, Bei Yu, Hao Geng, <b>Qi Sun#</b>, Cheng Zhuo#, ‘‘Is Vanilla Bayesian Optimization Enough for High-Dimensional Architecture Design Optimization?’’, IEEE/ACM International Conference on Computer-Aided Design (<b>ICCAD</b>), New Jersey, Oct. 27–31, 2024.</p>
</li>
<li><p>[J11] Tinghuan Chen, Hao Geng, <b>Qi Sun</b>, Sanping Wan, Yongsheng Sun, Huatao Yu, Bei Yu,‘‘Wages: The Worst Transistor Aging Analysis for Large-scale Analog Integrated Circuits via Domain Generalization’’, ACM Transactions on Design Automation of Electronic Systems (<b>TODAES</b>), vol. 29, no. 73, pp 1 - 23, 2024.</p>
</li>
<li><p>[J10] Chen Bai, <b>Qi Sun#</b>, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D.F. Wong,‘‘BOOM-Explorer: RISC-V BOOM Microarchitecture Design Space Exploration’’, ACM Transactions on Design Automation of Electronic Systems (<b>TODAES</b>), vol. 29, no. 01, pp. 1–23, 2024.</p>
</li>
<li><p>[J9] Yang Bai, Xufeng Yao, <b>Qi Sun</b>, Wenqian Zhao, Shixin Chen, Zixiao Wang, Bei Yu,‘‘GTCO: Graph and Tensor Co-Design for Transformer-based Image Recognition on Tensor Cores’’, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (<b>TCAD</b>), vol. 43, no. 02, pp. 586–599, 2024.</p>
</li>
<li><p>[C26] Lancheng Zou, Wenqian Zhao, Shuo Yin, Chen Bai, <b>Qi Sun#</b>, Bei Yu#,‘‘BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization’’, International Conference on Machine Learning (<b>ICML</b>), Vienna, Jul. 21–27, 2024.</p>
</li>
<li><p>[C25] Xianting Lu, Yunong Wang, Yu Fu, <b>Qi Sun</b>, Xuhua Ma, Xudong Zheng, Cheng Zhuo,‘‘MISP: A Multimodal-based Intelligent Server Failure Prediction Model for Cloud Computing Systems’’, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (<b>KDD</b>), Barcelona, Spain, Aug. 25-29, 2024.</p>
</li>
<li><p>[C24] Yuqi Jiang, Qian Jin, Xudong Lu, <b>Qi Sun#</b>, Cheng Zhuo,‘‘FabSage: A Large Multimodal Model for IC Defect Detection, Analysis, and Knowledge Querying
’’, 1st IEEE International Workshop on LLM-Aided Design (<b>LAD</b>), San Jose, CA, June 28-29, 2024.</p>
</li>
<li><p>[C23] Donger Luo*, <b>Qi Sun*</b>, Xinheng Li, Chen Bai, Bei Yu, Hao Geng,‘‘Knowing The Spec to Explore The Design via Transformed Bayesian Optimization’’, ACM/IEEE Design Automation Conference (<b>DAC</b>), San Francisco, Jun. 23–27, 2024.</p>
</li>
<li><p>[C22] Yibo Qiao, Weiping Xie, Shunyuan Lou, Qian Jin, Lichao Zeng, Yining Chen#, <b>Qi Sun#</b>, Cheng Zhuo#,‘‘Minimizing Labeling, Maximizing Performance: A Novel Approach to Nanoscale Scanning Electron Microscope (SEM) Defect Segmentation’’, ACM/IEEE Design Automation Conference (<b>DAC</b>), San Francisco, Jun. 23–27, 2024.</p>
</li>
<li><p>[C21] Hongquan He, Guowen Kuang, <b>Qi Sun</b>, Hao Geng,‘‘Point Cloud and Large Pre-trained Model Catch Mixed-type Wafer Defect Pattern Recognition’’, IEEE/ACM Proceedings Design, Automation and Test in Europe (<b>DATE</b>), Valencia, Spain, Mar. 25-27, 2024. </p>
</li>
<li><p>[C20] Donger Luo, <b>Qi Sun</b>, Qi Xu, Tinghuan Chen, Hao Geng,‘‘Attention-Based EDA Tool Parameter Explorer: From Hybrid Parameters to Multi-QoR metrics’’, IEEE/ACM Proceedings Design, Automation and Test in Europe (<b>DATE</b>), Valencia, Spain, Mar. 25-27, 2024. </p>
</li>
<li><p>[C19] Chenyi Wen, Haonan Du, Zhengrui Chen, Li Zhang, <b>Qi Sun</b>, Cheng Zhuo,‘‘PACE: A Piece-Wise Approximate and Configurable Floating-Point Divider for Energy-Efficient Computing’’, IEEE/ACM Proceedings Design, Automation and Test in Europe (<b>DATE</b>), Valencia, Spain, Mar. 25-27, 2024. </p>
</li>
</ul>
<h4>2023</h4>
<ul>
<li><p>[C18] E. S. Alcorta, A. Gerstlauer, C. Deng, <b>Q. Sun</b>, Z. Zhang, C. Xu, L. W. Wills, D. S. Lopera, W. Ecker, S. Garg, and J. Hu,‘‘Machine Learning for Embedded System Design’’, International Conference on Hardware/Software Codesign and System Synthesis (<b>CODES+ISSS</b>), Sep. 2023. (Invited Paper)</p>
</li>
<li><p>[J8] Wenqian Zhao, Yang Bai, <b>Qi Sun</b>, 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’’, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (<b>TCAD</b>), vol. 42, no. 10, pp. 3210–3223, 2023.</p>
</li>
<li><p>[J7] Qi Xu, Junpeng Wang, <b>Qi Sun</b>, 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 (<b>TASE</b>), vol. 20, no. 01, pp. 74–87, 2023.</p>
</li>
<li><p>[C17] Yuxuan Zhao, <b>Qi Sun#</b>, Zhuolun He, Yang Bai, Bei Yu,‘‘AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution’’, AAAI Conference on Artificial Intelligence (<b>AAAI</b>), Feb. 7–14, 2023.</p>
</li>
</ul>
<h4>2022</h4>
<ul>
<li><p>[C16] Xufeng Yao, Yang Bai, Xinyun Zhang, Yuechen Zhang, <b>Qi Sun</b>, Ran Chen, Ruiyu Li, Bei Yu,‘‘PCL: Proxy-based Contrastive Learning for Domain Generalization’’, IEEE/CVF Conference on Computer Vision and Pattern Recognition (<b>CVPR</b>), New Orleans, Jun. 19–24, 2022.</p>
</li>
<li><p>[C15] <b>Qi Sun</b>, 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 (<b>DAC</b>), San Francisco, CA, Jul. 10–14, 2022.</p>
</li>
<li><p>[C14] Xinyun Zhang, Binwu Zhu, Xufeng Yao, <b>Qi Sun</b>, Ruiyu Li, Bei Yu,‘‘Context-based Contrastive Learning for Scene Text Recognition’’, AAAI Conference on Artificial Intelligence (<b>AAAI</b>), Feb. 22–Mar. 1, 2022.</p>
</li>
<li><p>[J6] <b>Qi Sun</b>, Xufeng Yao, Arjun Ashok Rao, Bei Yu, Shiyan Hu,‘‘Counteracting Adversarial Attacks in Autonomous Driving’’, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (<b>TCAD</b>), vol. 41, no. 12, pp. 5193–5206, 2022.</p>
</li>
<li><p>[J5] <b>Qi Sun</b>, 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 (<b>TODAES</b>), vol. 27, no. 4, 2022.</p>
</li>
<li><p>[C13] Hao Geng, Tinghuan Chen, <b>Qi Sun</b>, Bei Yu,‘‘Techniques for CAD Tool Parameter Auto-tuning in Physical Synthesis: A Survey’’, IEEE/ACM Asian and South Pacific Design Automation Conference (<b>ASPDAC</b>), Jan. 17–20, 2022. (Invited Paper)</p>
</li>
</ul>
<h4>2021</h4>
<ul>
<li><p>[C12] <b>Qi Sun</b>, 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 (<b>ICCV</b>), Oct. 11-17, 2021.</p>
</li>
<li><p>[J4] Guojin Chen, Wanli Chen, <b>Qi Sun</b>, 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 (<b>TCAD</b>), vol. 41, no. 9, pp. 3118-3131, Sept. 2022.</p>
</li>
<li><p>[J3] Tinghuan Chen, <b>Qi Sun</b>, 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 (<b>TCAD</b>), vol. 41, no. 7, pp. 1990-2003, July 2022.</p>
</li>
<li><p>[C11] Wenqian Zhao, <b>Qi Sun</b>, 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 (<b>ICCAD</b>), Nov. 1–4, 2021.</p>
</li>
<li><p>[C10] Chen Bai, <b>Qi Sun</b>, 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 (<b>ICCAD</b>), Nov. 1–4, 2021. <b><font color="Red">(William J. McCalla Best Paper Award)</font></b> (<a href="https://ieee-ceda.org/awards/william-j-mccalla-iccad-best-paper-award" target=“blank”>link</a>)</p>
</li>
<li><p>[C9] Yang Bai, Xufeng Yao, <b>Qi Sun</b>, Bei Yu,‘‘AutoGTCO: Graph and Tensor Co-Optimize for Image Recognition with Transformers on GPU’’, IEEE/ACM International Conference on Computer-Aided Design (<b>ICCAD</b>), Nov. 1–4, 2021.</p>
</li>
<li><p>[J2] Tinghuan Chen, Bin Duan, <b>Qi Sun</b>, 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 (<b>TNNLS</b>), 2021.</p>
</li>
<li><p>[J1] Wei Li, Yuzhe Ma, <b>Qi Sun</b>, 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 (<b>TCAD</b>), vol. 40, no. 11, pp. 2331–2344, 2021.</p>
</li>
<li><p>[C8] Tinghuan Chen, <b>Qi Sun</b>, Bei Yu,‘‘Machine Learning in Nanometer AMS Design for Reliability’’, IEEE International Conference on ASIC (<b>ASICON</b>), Kunming, Oct. 26–29, 2021.</p>
</li>
<li><p>[C7] <b>Qi Sun</b>, 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 (<b>DATE</b>), Feb. 01–05, 2021. <b><font color="Red">(Best Paper Award Nomination)</font></b> (<a href="https://past.date-conference.com/proceedings-archive/2021/html/bestpaper.html" target=“blank”>link</a>)</p>
</li>
<li><p>[C6] <b>Qi Sun</b>, 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 (<b>DATE</b>), Feb. 01–05, 2021.</p>
</li>
<li><p>[C5] Siting Liu, <b>Qi Sun</b>, Peiyu Liao, Yibo Lin, Bei Yu,‘‘Global Placement with Deep Learning-Enabled Explicit Routability Optimization’’, IEEE/ACM Proceedings Design, Automation and Test in Europe (<b>DATE</b>), Feb. 01–05, 2021.</p>
</li>
<li><p>[C4] Tinghuan Chen, <b>Qi Sun</b>, 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 (<b>ASPDAC</b>), Jan. 18–21, 2021.</p>
</li>
</ul>
<h4>2020</h4>
<ul>
<li><p>[C3] <b>Qi Sun</b>, Arjun Ashok Rao, Xufeng Yao, Bei Yu, Shiyan Hu,‘‘Counteracting Adversarial Attacks in Autonomous Driving’’, IEEE/ACM International Conference on Computer-Aided Design (<b>ICCAD</b>), Westminster, CO, Nov. 2–5, 2020.</p>
</li>
</ul>
<h4>2019</h4>
<ul>
<li><p>[C2] <b>Qi Sun</b>, Tinghuan Chen, Jin Miao, Bei Yu,‘‘Power-Driven DNN Dataflow Optimization on FPGA’’, IEEE/ACM International Conference on Computer-Aided Design (<b>ICCAD</b>), Westminster, CO, Nov. 4–7, 2019.</p>
</li>
<li><p>[C1] Wei Li, Yuzhe Ma, <b>Qi Sun</b>, Yibo Lin, Iris Hui-Ru Jiang, Bei Yu, David Z. Pan,‘‘OpenMPL: An Open Source Layout Decomposer’’, IEEE International Conference on ASIC (<b>ASICON</b>), Chongqing, China, Oct. 29–Nov. 1, 2019.</p>
</li>
</ul>
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