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Dong Yin
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2020 – today
- 2024
- [j34]Dong Yin, Xuan Yang, Chang Wang, Huangchao Yu, Siyuan Chen:
A Two-Layer Communication Relay Planning Method for a Fixed-Wing UAVs Swarm. IEEE Trans. Veh. Technol. 73(5): 7140-7156 (2024) - [c55]Xiangfu Song, Dong Yin, Jianli Bai, Changyu Dong, Ee-Chien Chang:
Secret-Shared Shuffle with Malicious Security. NDSS 2024 - [i31]Wenjie Qu, Dong Yin, Zixin He, Wei Zou, Tianyang Tao, Jinyuan Jia, Jiaheng Zhang:
Provably Robust Multi-bit Watermarking for AI-generated Text via Error Correction Code. CoRR abs/2401.16820 (2024) - [i30]Valerio Biscione, Dong Yin, Gaurav Malhotra, Marin Dujmovic, Milton Llera Montero, Guillermo Puebla, Federico Adolfi, Rachel F. Heaton, John E. Hummel, Benjamin D. Evans, Karim Habashy, Jeffrey S. Bowers:
MindSet: Vision. A toolbox for testing DNNs on key psychological experiments. CoRR abs/2404.05290 (2024) - [i29]Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng:
Apple Intelligence Foundation Language Models. CoRR abs/2407.21075 (2024) - 2023
- [j33]Zhenshuang Tang, Lilin Yin, Dong Yin, Haohao Zhang, Yuhua Fu, Guangliang Zhou, Yunxiang Zhao, Zhiquan Wang, Xiaolei Liu, Xinyun Li, Shuhong Zhao:
Development and application of an efficient genomic mating method to maximize the production performances of three-way crossbred pigs. Briefings Bioinform. 24(1) (2023) - [j32]Keren Gu, Xander Masotto, Vandana Bachani, Balaji Lakshminarayanan, Jack Nikodem, Dong Yin:
An instance-dependent simulation framework for learning with label noise. Mach. Learn. 112(6): 1871-1896 (2023) - [j31]Yuhua Fu, Hong Liu, Jingwen Dou, Yue Wang, Yong Liao, Xin Huang, Zhenshuang Tang, Jingya Xu, Dong Yin, Shilin Zhu, Yangfan Liu, Xiong Shen, Hengyi Liu, Jiaqi Liu, Xin Yang, Yi Zhang, Yue Xiang, Jingjin Li, Zhuqing Zheng, Yunxia Zhao, Yunlong Ma, Haiyan Wang, Xiaoyong Du, Shengsong Xie, Xuewen Xu, Haohao Zhang, Lilin Yin, Mengjin Zhu, Mei Yu, Xinyun Li, Xiaolei Liu, Shuhong Zhao:
IAnimal: a cross-species omics knowledgebase for animals. Nucleic Acids Res. 51(D1): 1312-1324 (2023) - [j30]Yiwen Liu, Xian Zhang, Taiguo Qu, Dong Yin, Shaowei Deng:
Intelligent robot motion trajectory planning based on machine vision. Int. J. Syst. Assur. Eng. Manag. 14(2): 776-785 (2023) - [j29]Dong Yin, Xuan Yang, Huangchao Yu, Siyuan Chen, Chang Wang:
An Air-to-Ground Relay Communication Planning Method for UAVs Swarm Applications. IEEE Trans. Intell. Veh. 8(4): 2983-2997 (2023) - [j28]Fan Wang, Dong Yin, Ruiyuan Song:
Image super-resolution using only low-resolution images. Vis. Comput. 39(10): 5069-5084 (2023) - [c54]Fujun Wang, Yunfei Ling, Dong Yin:
Study on Informational and Intelligent of Vehicle Security Check and Audit Method. CCIS 2023: 106-110 - [c53]Xian Zhang, Xinhui Luo, Taiguo Qu, Dong Yin:
An Effective and Real-time Time-Slot Power Detection Method. ICEITSA 2023: 19-24 - [i28]Dong Yin, Sridhar Thiagarajan, Nevena Lazic, Nived Rajaraman, Botao Hao, Csaba Szepesvári:
Sample Efficient Deep Reinforcement Learning via Local Planning. CoRR abs/2301.12579 (2023) - [i27]Dong Yin, Valerio Biscione, Jeffrey S. Bowers:
Convolutional Neural Networks Trained to Identify Words Provide a Good Account of Visual Form Priming Effects. CoRR abs/2302.03992 (2023) - [i26]Xiangfu Song, Dong Yin, Jianli Bai, Changyu Dong, Ee-Chien Chang:
Secret-Shared Shuffle with Malicious Security. IACR Cryptol. ePrint Arch. 2023: 1794 (2023) - 2022
- [j27]Siyuan Chen, Dong Yin, Yifeng Niu:
A Survey of Robot Swarms' Relative Localization Method. Sensors 22(12): 4424 (2022) - [j26]Avishek Ghosh, Jichan Chung, Dong Yin, Kannan Ramchandran:
An Efficient Framework for Clustered Federated Learning. IEEE Trans. Inf. Theory 68(12): 8076-8091 (2022) - [j25]Zhihong Liu, Xiangke Wang, Lincheng Shen, Shulong Zhao, Yirui Cong, Jie Li, Dong Yin, Shengde Jia, Xiaojia Xiang:
Mission-Oriented Miniature Fixed-Wing UAV Swarms: A Multilayered and Distributed Architecture. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1588-1602 (2022) - [c52]Botao Hao, Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári:
Confident Least Square Value Iteration with Local Access to a Simulator. AISTATS 2022: 2420-2435 - [c51]Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári:
Efficient local planning with linear function approximation. ALT 2022: 1165-1192 - [c50]Zhibing Sha, Zhigang Cai, François Trahay, Jianwei Liao, Dong Yin:
Unifying Temporal and Spatial Locality for Cache Management inside SSDs. DATE 2022: 891-896 - [c49]Chunqiao Mi, Qingyou Deng, Changhua Zhao, Dong Yin, Yiwen Liu:
Learning Situation Risk Cognition and Measurement Based on Data-Driven. ICCSE (2) 2022: 533-540 - [c48]Wenxin Yu, Hongru Zhang, Tianxiang Lan, Yucheng Hu, Dong Yin:
CBPT: A New Backbone for Enhancing Information Transmission of Vision Transformers. ICIP 2022: 156-160 - [c47]Jindong Wang, Fan Wang, Dong Yin:
Feature Decoupled Autoencoder: Semi-Supervised Learning for Image Dehazing. ICME 2022: 1-6 - [c46]Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Huiyi Hu, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar:
Wide Neural Networks Forget Less Catastrophically. ICML 2022: 15699-15717 - [c45]Yucheng Hu, Yuting Zhang, Wenxin Yu, Tianxiang Lan, Dong Yin:
Transformer-Convolution Network for Arbitrary Shape Text Detection. ICMLSC 2022: 120-126 - [i25]Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Timothy Nguyen, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar:
Architecture Matters in Continual Learning. CoRR abs/2202.00275 (2022) - 2021
- [j24]Lilin Yin, Haohao Zhang, Zhenshuang Tang, Jingya Xu, Dong Yin, Zhiwu Zhang, Xiaohui Yuan, Mengjin Zhu, Shuhong Zhao, Xinyun Li, Xiaolei Liu:
rMVP: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated Tool for Genome-wide Association Study. Genom. Proteom. Bioinform. 19(4): 619-628 (2021) - [j23]Chiyun Sheng, Bin Hu, Fanjun Meng, Dong Yin:
Lightweight dual-branch network for vehicle exhausts segmentation. Multim. Tools Appl. 80(12): 17785-17806 (2021) - [j22]Wei Tian, Zhenwen Deng, Dong Yin, Zehan Zheng, Yuyao Huang, Xin Bi:
3D Pedestrian Detection in Farmland by Monocular RGB Image and Far-Infrared Sensing. Remote. Sens. 13(15): 2896 (2021) - [c44]Lidan Shang, Dong Yin, Bin Hu:
GaitPVD: Part-based View Distillation Network for Cross-View Gait Recognition. CSAE 2021: 25:1-25:6 - [c43]Nan Yao, Lihua Ke, Jianlong Sheng, Wenjing Li, Dong Yin:
Construction and Practice of Virtual Simulation Experimental Teaching Platform for Metal and Nonmetal Mines Underground Mining. ICFET 2021: 7-13 - [c42]Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári:
Improved Regret Bound and Experience Replay in Regularized Policy Iteration. ICML 2021: 6032-6042 - [i24]Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári:
Improved Regret Bound and Experience Replay in Regularized Policy Iteration. CoRR abs/2102.12611 (2021) - [i23]Keren Gu, Xander Masotto, Vandana Bachani, Balaji Lakshminarayanan, Jack Nikodem, Dong Yin:
A Realistic Simulation Framework for Learning with Label Noise. CoRR abs/2107.11413 (2021) - [i22]Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári:
Efficient Local Planning with Linear Function Approximation. CoRR abs/2108.05533 (2021) - [i21]Qizhi Zhang, Yuan Zhao, Lichun Li, JiaoFu Zhang, Qichao Zhang, Yashun Zhou, Dong Yin, Sijun Tan, Shan Yin:
MORSE-STF: A Privacy Preserving Computation System. CoRR abs/2109.11726 (2021) - 2020
- [j21]Fanjun Meng, Dong Yin, Rui Zhang, Bin Hu:
Efficient framework with sequential classification for graphic vehicle identification number recognition. J. Electronic Imaging 29(4): 043009 (2020) - [j20]Zhipeng Zhou, Rui Zhang, Dong Yin:
A strong feature representation for siamese network tracker. Multim. Tools Appl. 79(35-36): 25873-25887 (2020) - [j19]Jian-You Liao, Bing Yang, Yu-Chan Zhang, Xiao-Juan Wang, Yushan Ye, Jing-Wen Peng, Zhi-Zhi Yang, Jie-Hua He, Yin Zhang, Kaishun Hu, De-Chen Lin, Dong Yin:
EuRBPDB: a comprehensive resource for annotation, functional and oncological investigation of eukaryotic RNA binding proteins (RBPs). Nucleic Acids Res. 48(Database-Issue): D307-D313 (2020) - [c41]Hongcheng Mo, Jianfei Jiang, Qin Wang, Dong Yin, Pengyu Dong, Jingjun Tian:
Frequency Attention Network: Blind Noise Removal for Real Images. ACCV (2) 2020: 168-184 - [c40]Xiangfu Song, Dong Yin, Han Jiang, Qiuliang Xu:
Searchable Symmetric Encryption with Tunable Leakage Using Multiple Servers. DASFAA (1) 2020: 157-177 - [c39]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu:
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (4) 2020: 692-712 - [c38]Dong Yin, Xiaojia Xiang, Jie Li, Zhenyi Li:
Research on Ad-hoc Network for UAV Swarm Based on OPNET Simulation. ICCT 2020: 678-686 - [c37]Xiang Cheng, Dong Yin, Peter L. Bartlett, Michael I. Jordan:
Stochastic Gradient and Langevin Processes. ICML 2020: 1810-1819 - [c36]Avishek Ghosh, Jichan Chung, Dong Yin, Kannan Ramchandran:
An Efficient Framework for Clustered Federated Learning. NeurIPS 2020 - [c35]Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans:
A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs. NeurIPS 2020 - [i20]Avishek Ghosh, Jichan Chung, Dong Yin, Kannan Ramchandran:
An Efficient Framework for Clustered Federated Learning. CoRR abs/2006.04088 (2020) - [i19]Dong Yin, Mehrdad Farajtabar, Ang Li:
SOLA: Continual Learning with Second-Order Loss Approximation. CoRR abs/2006.10974 (2020) - [i18]Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans:
A maximum-entropy approach to off-policy evaluation in average-reward MDPs. CoRR abs/2006.12620 (2020) - [i17]Yogesh Balaji, Mehrdad Farajtabar, Dong Yin, Alex Mott, Ang Li:
The Effectiveness of Memory Replay in Large Scale Continual Learning. CoRR abs/2010.02418 (2020)
2010 – 2019
- 2019
- [b1]Dong Yin:
Towards More Scalable and Robust Machine Learning. University of California, Berkeley, USA, 2019 - [j18]Mingyue Yuan, Dong Yin, Jinwen Ding, Zhipeng Zhou, Chengfeng Zhu, Rui Zhang, An Wang:
A multi-image Joint Re-ranking framework with updateable Image Pool for person re-identification. J. Vis. Commun. Image Represent. 59: 527-536 (2019) - [j17]Rui Zhang, Dong Yin, Jinwen Ding, Yuhao Luo, Wei Liu, Mingyue Yuan, Chengfeng Zhu, Zhipeng Zhou:
A detection method for low-pixel ratio object. Multim. Tools Appl. 78(9): 11655-11674 (2019) - [j16]Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran:
Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes. IEEE Trans. Inf. Theory 65(3): 1430-1451 (2019) - [j15]Xiao Li, Dong Yin, Sameer Pawar, Ramtin Pedarsani, Kannan Ramchandran:
Sub-Linear Time Support Recovery for Compressed Sensing Using Sparse-Graph Codes. IEEE Trans. Inf. Theory 65(10): 6580-6619 (2019) - [j14]Jian Yang, Xin Xu, Dong Yin, Zhaowei Ma, Lincheng Shen:
A Space Mapping Based 0-1 Linear Model for Onboard Conflict Resolution of Heterogeneous Unmanned Aerial Vehicles. IEEE Trans. Veh. Technol. 68(8): 7455-7465 (2019) - [c34]Dong Yin, Yudong Chen, Kannan Ramchandran, Peter L. Bartlett:
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning. ICML 2019: 7074-7084 - [c33]Dong Yin, Kannan Ramchandran, Peter L. Bartlett:
Rademacher Complexity for Adversarially Robust Generalization. ICML 2019: 7085-7094 - [c32]Dong Yin, Raphael Gontijo Lopes, Jonathon Shlens, Ekin Dogus Cubuk, Justin Gilmer:
A Fourier Perspective on Model Robustness in Computer Vision. NeurIPS 2019: 13255-13265 - [i16]Raphael Gontijo Lopes, Dong Yin, Ben Poole, Justin Gilmer, Ekin D. Cubuk:
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation. CoRR abs/1906.02611 (2019) - [i15]Avishek Ghosh, Justin Hong, Dong Yin, Kannan Ramchandran:
Robust Federated Learning in a Heterogeneous Environment. CoRR abs/1906.06629 (2019) - [i14]Dong Yin, Raphael Gontijo Lopes, Jonathon Shlens, Ekin D. Cubuk, Justin Gilmer:
A Fourier Perspective on Model Robustness in Computer Vision. CoRR abs/1906.08988 (2019) - [i13]Xiang Cheng, Dong Yin, Peter L. Bartlett, Michael I. Jordan:
Quantitative W1 Convergence of Langevin-Like Stochastic Processes with Non-Convex Potential State-Dependent Noise. CoRR abs/1907.03215 (2019) - [i12]Zhipeng Zhou, Rui Zhang, Dong Yin:
A Strong Feature Representation for Siamese Network Tracker. CoRR abs/1907.07880 (2019) - [i11]Zhihong Liu, Xiangke Wang, Lincheng Shen, Shulong Zhao, Yirui Cong, Jie Li, Dong Yin, Shengde Jia, Xiaojia Xiang:
Mission Oriented Miniature Fixed-wing UAV Swarms: A Multi-layered and Distributed Architecture. CoRR abs/1912.06285 (2019) - 2018
- [j13]Jianwei Liao, Dong Yin, Xiaoning Peng:
Block I/O Scheduling on Storage Servers of Distributed File Systems. J. Grid Comput. 16(2): 299-316 (2018) - [j12]Jian Yang, Dong Yin, Lincheng Shen, Qiao Cheng, Xu Xie:
Cooperative Deconflicting Heading Maneuvers Applied to Unmanned Aerial Vehicles in Non-Segregated Airspace. J. Intell. Robotic Syst. 92(1): 187-201 (2018) - [j11]Yuhao Luo, Dong Yin, An Wang, Wentao Wu:
Pedestrian tracking in surveillance video based on modified CNN. Multim. Tools Appl. 77(18): 24041-24058 (2018) - [j10]Jian Yang, Dong Yin, Qiao Cheng, Lincheng Shen:
Two-Layered Mechanism of Online Unmanned Aerial Vehicles Conflict Detection and Resolution. IEEE Trans. Intell. Transp. Syst. 19(10): 3230-3244 (2018) - [c31]Dong Yin, Ashwin Pananjady, Maximilian Lam, Dimitris S. Papailiopoulos, Kannan Ramchandran, Peter L. Bartlett:
Gradient Diversity: a Key Ingredient for Scalable Distributed Learning. AISTATS 2018: 1998-2007 - [c30]Dong Yin, YuQing Miao, Kang Qiu, An Wang:
Study on Human Body Action Recognition. CCBR 2018: 87-95 - [c29]Andrés Muñoz Medina, Sergei Vassilvitskii, Dong Yin:
Online Learning for Non-Stationary A/B Tests. CIKM 2018: 317-326 - [c28]Xiong Liu, Dong Yin, Yongbin Zhou, Zhihong Liu, Yueke Wang:
Dispatching and management methods for communication of UAV swarm. HP3C 2018: 61-67 - [c27]Ashraful Islam, Yuexi Zhang, Dong Yin, Octavia I. Camps, Richard J. Radke:
Correlating Belongings with Passengers in a Simulated Airport Security Checkpoint. ICDSC 2018: 14:1-14:7 - [c26]Dong Yin, Yudong Chen, Kannan Ramchandran, Peter L. Bartlett:
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates. ICML 2018: 5636-5645 - [c25]Biqi Duan, Dong Yin, Yirui Cong, Han Zhou, Xiaojia Xiang, Lincheng Shen:
Anti-Jamming Path Planning for Unmanned Aerial Vehicles with Imperfect Jammer Information. ROBIO 2018: 729-735 - [i10]Andrés Muñoz Medina, Sergei Vassilvitskii, Dong Yin:
Online Learning for Non-Stationary A/B Tests. CoRR abs/1802.05315 (2018) - [i9]Dong Yin, Yudong Chen, Kannan Ramchandran, Peter L. Bartlett:
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates. CoRR abs/1803.01498 (2018) - [i8]Mingyue Yuan, Dong Yin, Jingwen Ding, Yuhao Luo, Zhipeng Zhou, Chengfeng Zhu, Rui Zhang:
A framework with updateable joint images re-ranking for Person Re-identification. CoRR abs/1803.02983 (2018) - [i7]Dong Yin, Yudong Chen, Kannan Ramchandran, Peter L. Bartlett:
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning. CoRR abs/1806.05358 (2018) - [i6]Dong Yin, Kannan Ramchandran, Peter L. Bartlett:
Rademacher Complexity for Adversarially Robust Generalization. CoRR abs/1810.11914 (2018) - 2017
- [j9]Adam S. Charles, Dong Yin, Christopher J. Rozell:
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks. J. Mach. Learn. Res. 18: 7:1-7:37 (2017) - [j8]Ramtin Pedarsani, Dong Yin, Kangwook Lee, Kannan Ramchandran:
PhaseCode: Fast and Efficient Compressive Phase Retrieval Based on Sparse-Graph Codes. IEEE Trans. Inf. Theory 63(6): 3663-3691 (2017) - [c24]Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran:
Learning mixtures of sparse linear regressions using sparse graph codes. Allerton 2017: 588-595 - [i5]Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran:
Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes. CoRR abs/1703.00641 (2017) - [i4]Dong Yin, Ashwin Pananjady, Maximilian Lam, Dimitris S. Papailiopoulos, Kannan Ramchandran, Peter L. Bartlett:
Gradient Diversity Empowers Distributed Learning. CoRR abs/1706.05699 (2017) - 2016
- [j7]Haibin Xie, Han Zhou, Lincheng Shen, Dong Yin:
Mechanism Design, dynamics Modelling and Experiments of bionic undulating fins. Int. J. Robotics Autom. 31(2) (2016) - [c23]Dong Yin, Ramtin Pedarsani, Xiao Li, Kannan Ramchandran:
Compressed sensing using sparse-graph codes for the continuous-alphabet setting. Allerton 2016: 758-765 - [c22]Qiao Cheng, Dong Yin, Jian Yang, Lincheng Shen:
An Auction-Based Multiple Constraints Task Allocation Algorithm for Multi-UAV System. CRC 2016: 1-5 - [i3]Adam S. Charles, Dong Yin, Christopher J. Rozell:
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks. CoRR abs/1605.08346 (2016) - [i2]Dong Yin, Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran:
Fast and Robust Compressive Phase Retrieval with Sparse-Graph Codes. CoRR abs/1606.00531 (2016) - 2015
- [c21]Qiao Cheng, Xiangke Wang, Dong Yin, Yifeng Niu, Xiaojia Xiang, Jian Yang, Lincheng Shen:
The new similarity measure based on user preference models for collaborative filtering. ICIA 2015: 577-582 - [c20]Lei Zhu, Dong Yin, Jian Yang, Lincheng Shen:
Research of remote measurement and control technology of UAV based on mobile communication networks. ICIA 2015: 2517-2522 - [c19]Dong Yin, Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran:
Fast and robust compressive phase retrieval with sparse-graph codes. ISIT 2015: 2583-2587 - [c18]Jian Yang, Dong Yin, Qiao Cheng, Xu Xie:
Two-Layer Optimization to Cooperative Conflict Detection and Resolution for UAVs. ITSC 2015: 2072-2077 - [c17]Jian Yang, Dong Yin, Yifeng Niu, Lei Zhu:
Unmanned aerial vehicles conflict detection and resolution in city airspace. ROBIO 2015: 2436-2441 - [i1]Qi Guo, Le Dan, Dong Yin, Xiangyang Ji:
Sliding-Window Optimization on an Ambiguity-Clearness Graph for Multi-object Tracking. CoRR abs/1511.08913 (2015) - 2014
- [j6]Anzhou Hu, Rong Zhang, Dong Yin, Yibing Zhan:
Image quality assessment using a SVD-based structural projection. Signal Process. Image Commun. 29(3): 293-302 (2014) - [c16]Adam S. Charles, Dong Yin, Christopher J. Rozell:
Can random linear networks store multiple long input streams? GlobalSIP 2014: 379-383 - [c15]Dong Yin, Hing-Cheung So, Yuantao Gu:
Sparse constraint affine projection algorithm with parallel implementation and application in compressive sensing. ICASSP 2014: 7238-7242 - [c14]Jiachuan Shi, Dong Yin, Guiling Yang:
Particle swarm optimization based steel rolling parameter optimization. ICNC 2014: 632-636 - 2013
- [j5]Xin Zhan, Rong Zhang, Dong Yin, Chengfu Huo:
SAR Image Compression Using Multiscale Dictionary Learning and Sparse Representation. IEEE Geosci. Remote. Sens. Lett. 10(5): 1090-1094 (2013) - [c13]Anzhou Hu, Rong Zhang, Dong Yin, Wenlong Hu:
Machine learning-based multi-channel evaluation pooling strategy for image quality assessment. ICIP 2013: 427-430 - [c12]Xin Zhan, Rong Zhang, Dong Yin, Anzhou Hu, Wenlong Hu:
Remote sensing image compression based on double-sparsity dictionary learning and universal trellis coded quantization. ICIP 2013: 1665-1669 - 2012
- [j4]Yuan Chen, Rong Zhang, Dong Yin:
Multi-polarimetric SAR image compression based on sparse representation. Sci. China Inf. Sci. 55(8): 1888-1897 (2012) - [j3]Yong Liao, Jiangtao Yin, Dong Yin, Lixin Gao:
DPillar: Dual-port server interconnection network for large scale data centers. Comput. Networks 56(8): 2132-2147 (2012) - [c11]Lanying Han, Ni Guo, Yaohui Li, Pengli Ma, Dong Yin:
The dynamically remote sensing monitoring and impacts of climatic change on Maqu wetland in 2002-2010. IGARSS 2012: 6115-6117 - [c10]Dong Yin, Ge Li, Kedi Huang:
Scalable MapReduce Framework on FPGA Accelerated Commodity Hardware. NEW2AN 2012: 280-294 - [c9]Chengfu Huo, Rong Zhang, Dong Yin, Qian Wu, Dawei Xu:
Hyperspectral data compression using sparse representation. WHISPERS 2012: 1-4 - 2011
- [j2]Dong Yin, Deepak Unnikrishnan, Yong Liao, Lixin Gao, Russell Tessier:
Customizing virtual networks with partial FPGA reconfiguration. Comput. Commun. Rev. 41(1): 125-132 (2011) - [j1]Yong Liao, Dong Yin, Lixin Gao:
Network virtualization substrate with parallelized data plane. Comput. Commun. 34(13): 1549-1558 (2011) - [c8]Rong Zhang, Shangfei Wang, Xiaoping Chen, Dong Yin, Shijia Chen, Min Cheng, Yanpeng Lv, Jianmin Ji, Dejian Wang, Peijia Shen:
Towards robot incremental learning constraints from comparative demonstration. AAMAS 2011: 1301-1302 - 2010
- [c7]Dong Yin, Rong Zhang:
Research on the Recognition Method of Bridge Target in SAR Image. CIT 2010: 1403-1406 - [c6]Chengfu Huo, Rong Zhang, Dong Yin:
An adaptive sparse representation for remote sensing image based on combination of wavelet and adaptive directional filter. ICASSP 2010: 990-993 - [c5]Yong Liao, Dong Yin, Lixin Gao:
DPillar: Scalable Dual-Port Server Interconnection for Data Center Networks. ICCCN 2010: 1-6 - [c4]Yong Liao, Dong Yin, Lixin Gao:
Europa: Efficient User Mode Packet Forwarding in Network Virtualization. INM/WREN 2010 - [c3]Dong Yin, Deepak Unnikrishnan, Yong Liao, Lixin Gao, Russell Tessier:
Customizing virtual networks with partial FPGA reconfiguration. VISA@SIGCOMM 2010: 57-64
2000 – 2009
- 2009
- [c2]Yong Liao, Dong Yin, Lixin Gao:
PdP: parallelizing data plane in virtual network substrate. VISA 2009: 9-18 - 2008
- [c1]Dong Yin, Jia Pan, Peng Chen, Rong Zhang:
Medical Image Categorization Based on Gaussian Mixture Model. BMEI (2) 2008: 128-131
Coauthor Index
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