Kun Yuan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
76
Venues
23
Active years
2004–2026
Best venue rank
A*
Where they publish
- A*CVPR14 papers
- A*ICML10 papers
- AMICCAI7 papers
- MulticonferenceICASSP7 papers
- A*ICCV4 papers
- A*ICLR4 papers
- A*DAC4 papers
- AICCAD4 papers
- A*ECCV3 papers
- NationalACSSC3 papers
- A*AAAI2 papers
- CCloudCom2 papers
- CISNN2 papers
- A*ACL1 paper
- A*EMNLP1 paper
- ABMVC1 paper
- CICMLA1 paper
- A*IJCAI1 paper
- AICDAR1 paper
- BICIP1 paper
- NationalITA1 paper
- BASPDAC1 paper
- CETFA1 paper
Papers
76 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Where It Moves, It Matters: Referring Surgical Instrument Segmentation via Motion. | Meng Wei, Kun Yuan, Shi Li, Yue Zhou, Long Bai, Nassir Navab, Hongliang Ren, Hong Joo Lee, Tom Vercauteren, Nicolas Padoy |
| 2025 | AAAI | Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment. | Yaling Shen, Zhixiong Zhuang, Kun Yuan, Maria-Irina Nicolae, Nassir Navab, Nicolas Padoy, Mario Fritz |
| 2025 | ACL | HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference. | Ping Gong, Jiawei Yi, Shengnan Wang, Juncheng Zhang, Zewen Jin, Ouxiang Zhou, Ruibo Liu, Guanbin Xu, Youhui Bai, Bowen Ye, Kun Yuan, Tong Yang, Gong Zhang, Renhai Chen, Feng Wu, Cheng Li |
| 2025 | CloudCom | Greedy Low-Rank Gradient Compression Provably Converges for Distributed Learning. | Chuyan Chen, Yutong He, Pengrui Li, Weichen Jia, Yanjie Dong, Kun Yuan |
| 2025 | CloudCom | An All-Reduce Compatible Top-$K$ Compressor for Communication-Efficient Distributed Learning. | Chuyan Chen, Chenyang Ma, Zhangxin Li, Yutong He, Yanjie Dong, Kun Yuan |
| 2025 | CVPR | NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study. | Xin Li, Xijun Wang, Bingchen Li, Kun Yuan, Yizhen Shao, Suhang Yao, Ming Sun, Chao Zhou, Radu Timofte, Zhibo Chen |
| 2025 | CVPR | NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results. | Xin Li, Kun Yuan, Bingchen Li, Fengbin Guan, Yizhen Shao, Zihao Yu, Xijun Wang, Yiting Lu, Wei Luo, Suhang Yao, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Yabin Zhang, Ao-Xiang Zhang, Tianwu Zhi, Jianzhao Liu, Yang Li, Jingwen Xu, Yiting Liao, Yushen Zuo, Mingyang Wu, Renjie Li, Shengyun Zhong, Zhengzhong Tu, Yufan Liu, Xiangguang Chen, Zuowei Cao, Minhao Tang, Shan Liu, Kexin Zhang, Jingfen Xie, Yan Wang, Kai Chen, Shijie Zhao, Yunchen Zhang, Xiangkai Xu, Hong Gao, Ji Shi, Yiming Bao, Xiugang Dong, Xiangsheng Zhou, Yaofeng Tu, Ying Liang, Yiwen Wang, Xinning Chai, Yuxuan Zhang, Zhengxue Cheng, Yingsheng Qin, Yucai Yang, Rong Xie, Li Song, Wei Sun, Kang Fu, Linhan Cao, Dandan Zhu, Kaiwei Zhang, Yucheng Zhu, Zicheng Zhang, Menghan Hu, Xiongkuo Min, Guangtao Zhai, Zhi Jin, Jiawei Wu, Wei Wang, Wenjian Zhang, Yuhai Lan, Gaoxiong Yi, Hengyuan Na, Wang Luo, Di Wu, Mingyin Bai, Jiawang Du, Zilong Lu, Zhenyu Jiang, Hui Zeng, Ziguan Cui, Zongliang Gan, Guijin Tang, Xinglin Xie, Kehuan Song, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Puhua Chen, Ha Thu Nguyen, Katrien De Moor, Seyed Ali Amirshahi, Mohamed-Chaker Larabi, Qi Tang, Linfeng He, Zhiyong Gao, Zixuan Gao, Guohua Zhang, Zhiye Huang, Yi Deng, Qingmiao Jiang, Lu Chen, Yi Yang, Xi Liao, Nourine Mohammed Nadir, Yuxuan Jiang, Qiang Zhu, Siyue Teng, Fan Zhang, Shuyuan Zhu, Bing Zeng, David Bull, Meiqin Liu, Chao Yao, Yao Zhao |
| 2025 | CVPR | MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments. | Ege zsoy, Chantal Pellegrini, Tobias Czempiel, Felix Tristram, Kun Yuan, David Bani-Harouni, Ulrich Eck, Benjamin Busam, Matthias Keicher, Nassir Navab |
| 2025 | CVPR | KVQ: Boosting Video Quality Assessment via Saliency-guided Local Perception. | Yunpeng Qu, Kun Yuan, Qizhi Xie, Ming Sun, Chao Zhou, Jian Wang |
| 2025 | EMNLP | ReEvalMed: Rethinking Medical Report Evaluation by Aligning Metrics with Real-World Clinical Judgment. | Ruochen Li, Jun Li, Bailiang Jian, Kun Yuan, Youxiang Zhu |
| 2025 | ICCV | OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining. | Ming Hu, Kun Yuan, Yaling Shen, Feilong Tang, Xiaohao Xu, Lin Zhou, Wei Li, Ying Chen, Zhongxing Xu, Zelin Peng, Siyuan Yan, Vinkle Srivastav, Diping Song, Tianbin Li, Danli Shi, Jin Ye, Nicolas Padoy, Nassir Navab, Junjun He, Zongyuan Ge |
| 2025 | ICLR | Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures. | Yiming Chen, Yuan Zhang, Liyuan Cao, Kun Yuan, Zaiwen Wen |
| 2025 | ICML | Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance. | Lisha Chen, Quan Xiao, Ellen Hidemi Fukuda, Xinyi Chen, Kun Yuan, Tianyi Chen |
| 2025 | ICML | A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models. | Yiming Chen, Yuan Zhang, Yin Liu, Kun Yuan, Zaiwen Wen |
| 2025 | ICML | Subspace Optimization for Large Language Models with Convergence Guarantees. | Yutong He, Pengrui Li, Yipeng Hu, Chuyan Chen, Kun Yuan |
| 2025 | ICML | Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks. | Liyuan Liang, Xinyi Chen, Gan Luo, Kun Yuan |
| 2025 | ICML | Visual Autoregressive Modeling for Image Super-Resolution. | Yunpeng Qu, Kun Yuan, Jinhua Hao, Kai Zhao, Qizhi Xie, Ming Sun, Chao Zhou |
| 2025 | ICML | Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold. | Yilong Song, Peijin Li, Bin Gao, Kun Yuan |
| 2025 | MICCAI | Multi-modal Representations for Fine-Grained Multi-Label Critical View of Safety Recognition. | Britty Baby, Vinkle Srivastav, Pooja P. Jain, Kun Yuan, Pietro Mascagni, Nicolas Padoy |
| 2025 | MICCAI | SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting. | Yiming Huang, Long Bai, Beilei Cui, Kun Yuan, Guankun Wang, Mobarak I. Hoque, Nicolas Padoy, Nassir Navab, Hongliang Ren |
| 2025 | MICCAI | Can DeepSeek Reason Like a Surgeon? An Empirical Evaluation for Vision-Language Understanding in Robotic-Assisted Surgery. | Boyi Ma, Yanguang Zhao, Jie Wang, Guankun Wang, Kun Yuan, Tong Chen, Long Bai, Hongliang Ren |
| 2025 | MICCAI | Recognizing Surgical Phases Anywhere: Few-Shot Test-Time Adaptation and Task-Graph Guided Refinement. | Kun Yuan, Tingxuan Chen, Shi Li, Jol L. Lavanchy, Christian Heiliger, Ege zsoy, Yiming Huang, Long Bai, Nassir Navab, Vinkle Srivastav, Hongliang Ren, Nicolas Padoy |
| 2024 | CVPR | NTIRE 2024 Challenge on Image Super-Resolution (4): Methods and Results. | Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel |
| 2024 | CVPR | NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results. | Xin Li, Kun Yuan, Yajing Pei, Yiting Lu, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Wei Sun, Haoning Wu, Zicheng Zhang, Jun Jia, Zhichao Zhang, Linhan Cao, Qiubo Chen, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Jianhui Sun, Tianyi Wang, Lei Li, Han Kong, Wenxuan Wang, Bing Li, Cheng Luo, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Fangyuan Kong, Haotian Fan, Yifang Xu, Haoran Xu, Mengduo Yang, Jie Zhou, Jiaze Li, Shijie Wen, Mai Xu, Da Li, Shunyu Yao, Jiazhi Du, Wangmeng Zuo, Zhibo Li, Shuai He, Anlong Ming, Huiyuan Fu, Huadong Ma, Yong Wu, Fie Xue, Guozhi Zhao, Lina Du, Jie Guo, Yu Zhang, Huimin Zheng, Junhao Chen, Yue Liu, Dulan Zhou, Kele Xu, Qisheng Xu, Tao Sun, Zhixiang Ding, Yuhang Hu |
| 2024 | CVPR | KVQ: Kwai Video Quality Assessment for Short-form Videos. | Yiting Lu, Xin Li, Yajing Pei, Kun Yuan, Qizhi Xie, Yunpeng Qu, Ming Sun, Chao Zhou, Zhibo Chen |
| 2024 | CVPR | PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild. | Kun Yuan, Hongbo Liu, Mading Li, Muyi Sun, Ming Sun, Jiachao Gong, Jinhua Hao, Chao Zhou, Yansong Tang |
| 2024 | ECCV | XPSR: Cross-Modal Priors for Diffusion-Based Image Super-Resolution. | Yunpeng Qu, Kun Yuan, Kai Zhao, Qizhi Xie, Jinhua Hao, Ming Sun, Chao Zhou |
| 2024 | ICASSP | Asynchronous Diffusion Learning with Agent Subsampling and Local Updates. | Elsa Rizk, Kun Yuan, Ali H. Sayed |
| 2024 | ICLR | Momentum Benefits Non-iid Federated Learning Simply and Provably. | Ziheng Cheng, Xinmeng Huang, Pengfei Wu, Kun Yuan |
| 2024 | ICML | Distributed Bilevel Optimization with Communication Compression. | Yutong He, Jie Hu, Xinmeng Huang, Songtao Lu, Bin Wang, Kun Yuan |
| 2024 | MICCAI | Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model. | Diwei Wang, Kun Yuan, Candice Mller, Frdric Blanc, Nicolas Padoy, Hyewon Seo |
| 2024 | MICCAI | HecVL: Hierarchical Video-Language Pretraining for Zero-Shot Surgical Phase Recognition. | Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy |
| 2023 | CVPR | BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection. | Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen |
| 2023 | CVPR | Quality-aware Pretrained Models for Blind Image Quality Assessment. | Kai Zhao, Kun Yuan, Ming Sun, Mading Li, Xing Wen |
| 2023 | CVPR | Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment. | Kai Zhao, Kun Yuan, Ming Sun, Xing Wen |
| 2023 | ICML | DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. | Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin |
| 2023 | ICML | AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. | Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan |
| 2022 | BMVC | ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks. | Zhuojie Wu, Xingqun Qi, Zijian Wang, Wanting Zhou, Kun Yuan, Muyi Sun, Zhenan Sun |
| 2022 | CVPR | NTIRE 2022 Challenge on Perceptual Image Quality Assessment. | Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte, Yuan Gong, Shanshan Lao, Shuwei Shi, Jiahao Wang, Sidi Yang, Tianhe Wu, Weihao Xia, Yujiu Yang, Mingdeng Cao, Cong Heng, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Hongjian Song, Jing Wang, Haotian Fan, Xiaoxia Hou, Ming Sun, Mading Li, Kai Zhao, Kun Yuan, Zishang Kong, Mingda Wu, Chuanchuan Zheng, Marcos V. Conde, Maxime Burchi, Longtao Feng, Tao Zhang, Yang Li, Jingwen Xu, Haiqiang Wang, Yiting Liao, Junlin Li, Kele Xu, Tao Sun, Yunsheng Xiong, Abhisek Keshari, Komal, Sadbhawana Thakur, Vinit Jakhetiya, Badri N. Subudhi, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari |
| 2022 | CVPR | CHEX: CHannel EXploration for CNN Model Compression. | Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung |
| 2022 | CVPR | Self-supervised Correlation Mining Network for Person Image Generation. | Zijian Wang, Xingqun Qi, Kun Yuan, Muyi Sun |
| 2022 | ICASSP | A Byzantine-Resilient Dual Subgradient Method for Vertical Federated Learning. | Kun Yuan, Zhaoxian Wu, Qing Ling |
| 2022 | ICLR | Effective Model Sparsification by Scheduled Grow-and-Prune Methods. | Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie |
| 2021 | ICCV | DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training. | Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin |
| 2021 | ICCV | Incorporating Convolution Designs into Visual Transformers. | Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu |
| 2021 | ICCV | Differentiable Dynamic Wirings for Neural Networks. | Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu |
| 2021 | ICLR | Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch. | Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li |
| 2021 | ICML | Accelerating Gossip SGD with Periodic Global Averaging. | Yiming Chen, Kun Yuan, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin |
| 2021 | MICCAI | Surgical Workflow Anticipation Using Instrument Interaction. | Kun Yuan, Matthew Holden, Shijian Gao, Won-Sook Lee |
| 2020 | ECCV | Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation. | Xu Yan, Weibing Zhao, Kun Yuan, Ruimao Zhang, Zhen Li, Shuguang Cui |
| 2020 | ECCV | Learning Connectivity of Neural Networks from a Topological Perspective. | Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan |
| 2020 | ICMLA | RAM-Net: A Residual Attention MobileNet to Detect COVID-19 Cases from Chest X-Ray Images. | Md. Aminur Rab Ratul, Maryam Tavakol Elahi, Kun Yuan, Won-Sook Lee |
| 2019 | ACSSC | On the Comparison between Primal and Primal-dual Methods in Decentralized Dynamic Optimization. | Wei Xu, Kun Yuan, Wotao Yin, Qing Ling |
| 2019 | ACSSC | Decentralized Dynamic ADMM with Quantized and Censored Communications. | Yaohua Liu, Kun Yuan, Gang Wu, Zhi Tian, Qing Ling |
| 2019 | ICASSP | COVER: A Cluster-based Variance Reduced Method for Online Learning. | Kun Yuan, Bicheng Ying, Ali H. Sayed |
| 2018 | ICASSP | Convergence of Variance-Reduced Learning Under Random Reshuffling. | Bicheng Ying, Kun Yuan, Ali H. Sayed |
| 2018 | IJCAI | SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification. | Kun Yuan, Qian Zhang, Chang Huang, Shiming Xiang, Chunhong Pan |
| 2017 | ICDAR | Deep Networks for Degraded Document Image Binarization through Pyramid Reconstruction. | Gaofeng Meng, Kun Yuan, Ying Wu, Shiming Xiang, Chunhong Pan |
| 2017 | ICIP | Efficient cloud detection in remote sensing images using edge-aware segmentation network and easy-to-hard training strategy. | Kun Yuan, Gaofeng Meng, Dongcai Cheng, Jun Bai, Shiming Xiang, Chunhong Pan |
| 2017 | ITA | On the performance of random reshuffling in stochastic learning. | Bicheng Ying, Kun Yuan, Stefan Vlaski, Ali H. Sayed |
| 2016 | ACSSC | Decentralized consensus optimization with asynchrony and delays. | Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali H. Sayed |
| 2016 | ICASSP | On the influence of momentum acceleration on online learning. | Kun Yuan, Bicheng Ying, Ali H. Sayed |
| 2013 | DAC | E-BLOW: e-beam lithography overlapping aware stencil planning for MCC system. | Bei Yu, Kun Yuan, Jhih-Rong Gao, David Z. Pan |
| 2013 | ICASSP | Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers. | Wei Shi, Qing Ling, Kun Yuan, Gang Wu, Wotao Yin |
| 2012 | ICCAD | Dealing with IC manufacturability in extreme scaling (Embedded tutorial paper). | Bei Yu, Jhih-Rong Gao, Duo Ding, Yongchan Ban, Jae-Seok Yang, Kun Yuan, Minsik Cho, David Z. Pan |
| 2011 | DAC | AENEID: a generic lithography-friendly detailed router based on post-RET data learning and hotspot detection. | Duo Ding, Jhih-Rong Gao, Kun Yuan, David Z. Pan |
| 2011 | ICCAD | Layout decomposition for triple patterning lithography. | Bei Yu, Kun Yuan, Boyang Zhang, Duo Ding, David Z. Pan |
| 2010 | ASPDAC | A new graph-theoretic, multi-objective layout decomposition framework for double patterning lithography. | Jae-Seok Yang, Katrina Lu, Minsik Cho, Kun Yuan, David Z. Pan |
| 2010 | ICASSP | Mining actor correlations with hierarchical concurrence parsing. | Kun Yuan, Hongxun Yao, Rongrong Ji, Xiaoshuai Sun |
| 2010 | ICCAD | WISDOM: Wire spreading enhanced decomposition of masks in Double Patterning Lithography. | Kun Yuan, David Z. Pan |
| 2010 | ISNN | Global Exponential Stability of Equilibrium Point of Hopfield Neural Network with Delay. | Xiaolin Liu, Kun Yuan |
| 2009 | DAC | Double patterning lithography friendly detailed routing with redundant via consideration. | Kun Yuan, Katrina Lu, David Z. Pan |
| 2009 | ETFA | Application of EM Algorithm to Hybrid Flow Shop Scheduling Problems with a Special Blocking. | Kun Yuan, Nathalie Sauer, Christophe Sauvey |
| 2008 | DAC | ELIAD: efficient lithography aware detailed router with compact post-OPC printability prediction. | Minsik Cho, Kun Yuan, Yongchan Ban, David Z. Pan |
| 2007 | ICCAD | BoxRouter 2.0: architecture and implementation of a hybrid and robust global router. | Minsik Cho, Katrina Lu, Kun Yuan, David Z. Pan |
| 2004 | ISNN | Global Exponential Stability of Cohen-Grossberg Neural Networks with Multiple Time-Varying Delays. | Kun Yuan, Jinde Cao |