Tao Sun - RankMe

107 papers A* 15A 1C 1Misc 4Journal 76Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning With Data Heterogeneity. IEEE Trans. Signal Process. Haoxiang Ye, Tao Sun, Qing Ling
2026	J	`jnl`	Local Gradient Regulation Stabilizes Federated Learning under Client Heterogeneity. CoRR Ping Luo, Jiahuan Wang, Ziqing Wen, Tao Sun, Dong Sheng Li
2026	—	`conf`	On Saddle Point Avoidance and Stationary Distribution of Sharpness-Aware Minimization. KDD (1) Tao Sun, Fan Jia, Bao Wang
2026	J	`jnl`	Towards understanding memory buffer based continual learning. Neural Networks Guodong Zheng, Peng Wang, Tao Sun, Li Shen
2025	J	`jnl`	A DeepSeek-Powered AI System for Automated Chest Radiograph Interpretation in Clinical Practice. CoRR Yaowei Bai, Ruiheng Zhang, Yu Lei, Xuhua Duan, Jingfeng Yao, Shuguang Ju, Chaoyang Wang, Wei Yao, Yiwan Guo, Guilin Zhang, Chao Wan, Qian Yuan, Lei Chen, Wenjuan Tang, Biqiang Zhu, Xinggang Wang, Tao Sun, Wei Zhou, Dacheng Tao, Yongchao Xu, Chuansheng Zheng, Huangxuan Zhao, Bo Du
2025	J	`jnl`	BHerd: Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients. IEEE Trans. Computers Ping Luo, Xiaoge Deng, Ziqing Wen, Tao Sun, Dongsheng Li
2025	J	`jnl`	Breaking Memory Limits: Gradient Wavelet Transform Enhances LLMs Training. CoRR Ziqing Wen, Ping Luo, Jiahuan Wang, Xiaoge Deng, Jinping Zou, Kun Yuan, Tao Sun, Dongsheng Li
2025	J	`jnl`	Communication-Efficient Distributed Learning via Sparse and Adaptive Stochastic Gradient. IEEE Trans. Big Data Xiaoge Deng, Dongsheng Li, Tao Sun, Xicheng Lu
2025	J	`jnl`	DFedGFM: Pursuing global consistency for Decentralized Federated Learning via global flatness and global momentum. Neural Networks Qinglun Li, Miao Zhang, Tao Sun, Quanjun Yin, Li Shen
2025	J	`jnl`	Efficient deep neural network training via decreasing precision with layer capacity. Frontiers Comput. Sci. Ao Shen, Zhiquan Lai, Tao Sun, Shengwei Li, Keshi Ge, Weijie Liu, Dongsheng Li
2025	J	`jnl`	FOAM: Blocked State Folding for Memory-Efficient LLM Training. CoRR Ziqing Wen, Jiahuan Wang, Ping Luo, Dongsheng Li, Tao Sun
2025	J	`jnl`	From Bench to Bedside: A DeepSeek-Powered AI System for Automated Chest Radiograph Interpretation in Clinical Practice. CoRR Yaowei Bai, Ruiheng Zhang, Yu Lei, Jingfeng Yao, Shuguang Ju, Chaoyang Wang, Wei Yao, Yiwan Guo, Guilin Zhang, Chao Wan, Qian Yuan, Xuhua Duan, Xinggang Wang, Tao Sun, Yongchao Xu, Chuansheng Zheng, Huangxuan Zhao, Bo Du
2025	Misc	`conf`	Generalization Guarantee of Decentralized Learning with Heterogeneous Data. ICASSP Haoxiang Ye, Tao Sun, Qing Ling
2025	J	`jnl`	Information Diffusion Prediction With Augmented Diffusion Dependency and Multigranularity Temporal Influence. IEEE Trans. Comput. Soc. Syst. Zekun Tao, Changjian Wang, Kele Xu, Tao Sun, Yong Guo, Kun Qian, Yanru Bai, Shanshan Li
2025	A*	`conf`	Investigating the Role of Weight Decay in Enhancing Nonconvex SGD. CVPR Tao Sun, Yuhao Huang, Li Shen, Kele Xu, Bao Wang
2025	J	`jnl`	On Nonconvex SGD Under Unbounded Noise With Weak Gradient Lipschitz and Delayed Stochastic Gradient. IEEE Trans. Pattern Anal. Mach. Intell. Tao Sun, Li Shen, Xinwang Liu
2025	J	`jnl`	Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration. J. Mach. Learn. Res. Tao Sun, Xinwang Liu, Kun Yuan
2025	Misc	`conf`	Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networks. ICASSP Jinping Zou, Xiaoge Deng, Tao Sun
2025	A*	`conf`	Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision. ICML Li Shen, Anke Tang, Yong Luo, Tao Sun, Han Hu, Xiaochun Cao
2025	J	`jnl`	Toward Understanding the Generalizability of Delayed Stochastic Gradient Descent. IEEE Trans. Pattern Anal. Mach. Intell. Xiaoge Deng, Li Shen, Shengwei Li, Tao Sun, Dongsheng Li, Dacheng Tao
2024	J	`jnl`	Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients. CoRR Ping Luo, Xiaoge Deng, Ziqing Wen, Tao Sun, Dongsheng Li
2024	J	`jnl`	Decentralized stochastic sharpness-aware minimization algorithm. Neural Networks Simiao Chen, Xiaoge Deng, Dongpo Xu, Tao Sun, Dongsheng Li
2024	A*	`conf`	Exploring the Inefficiency of Heavy Ball as Momentum Parameter Approaches 1. IJCAI Xiaoge Deng, Tao Sun, Dongsheng Li, Xicheng Lu
2024	J	`jnl`	Federated Prediction-Powered Inference from Decentralized Data. CoRR Ping Luo, Xiaoge Deng, Ziqing Wen, Tao Sun, Dongsheng Li
2024	J	`jnl`	Gradient Normalization with(out) Clipping Ensures Convergence of Nonconvex SGD under Heavy-Tailed Noise with Improved Results. CoRR Tao Sun, Xinwang Liu, Kun Yuan
2024	—	`conf`	NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Yangyang Zhang, Cailin Wu, Zhuangda He, Shuangshuang Yin, Jiaxu Dong, Yangchenxu Liu, Hao Jiang, Jun Shi, Yong A, Yixiang Jin, Dingzhe Li, Bingxin Ke, Anton Obukhov, Tinafu Wang, Nando Metzger, Shengyu Huang, Konrad Schindler, Yachuan Huang, Jiaqi Li, Junrui Zhang, Yiran Wang, Zihao Huang, Tianqi Liu, Zhiguo Cao, Pengzhi Li, Jui-Lin Wang, Wenjie Zhu, Hui Geng, Yuxin Zhang, Long Lan, Kele Xu, Tao Sun, Qisheng Xu, Sourav Saini, Aashray Gupta, Sahaj K. Mistry, Aryan Shukla, Vinit Jakhetiya, Sunil Prasad Jaiswal, Yuejin Sun, Zhuofan Zheng, Yi Ning, Jen-Hao Cheng, Hou-I Liu, Hsiang-Wei Huang, Cheng-Yen Yang, Zhongyu Jiang, Yi-Hao Peng, Aishi Huang, Jenq-Neng Hwang
2024	—	`conf`	NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results. CVPR Workshops 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	J	`jnl`	NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results. CoRR 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, Jian 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	—	`conf`	NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report. CVPR Workshops Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Yidi Liu, Xingbo Wang, Yurui Zhu, Gege Shi, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen, Wei Song, Yichang Gao, Jiahao Xiong, Hualiang Lin, Xianger Li, Dong Li, Mohab Kishawy, Ruibin Li, Seyed Amirreza Mousavi, Rana Rauf, Yangyi Liu, Huan Liu, Mingsheng Tu, Kele Xu, Jiawen Chen, Qisheng Xu, Tao Sun, Jin Guo, Ben Shao, Tianli Liu, Mohao Wu, Xingzhuo Yan, Minghan Fu, Lehan Yang, Xin Lin, Lu Qi, Jincen Song, Xiaoqian Hu, Linwei Tao, Hongming Chen, Xiang Chen, Chuanlong Xie, Zhao Zhang, Junhu Wang, Yanyan Wei, Suiyi Zhao, Shengeng Tang, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenjing Jiang, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C
2024	J	`jnl`	Score-based Generative Models with Adaptive Momentum. CoRR Ziqing Wen, Xiaoge Deng, Ping Luo, Tao Sun, Dongsheng Li
2024	J	`jnl`	Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networks. CoRR Jinping Zou, Xiaoge Deng, Tao Sun
2024	A*	`conf`	Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness. NeurIPS Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li, Xicheng Lu
2023	J	`jnl`	Decentralized Federated Averaging. IEEE Trans. Pattern Anal. Mach. Intell. Tao Sun, Dongsheng Li, Bao Wang
2023	A*	`conf`	Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions. ICML Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang
2023	A	`conf`	Normalized Stochastic Heavy Ball with Adaptive Momentum. ECAI Ziqing Wen, Xiaoge Deng, Tao Sun, Dongsheng Li
2023	J	`jnl`	Nothing Stands Still: A Spatiotemporal Benchmark on 3D Point Cloud Registration Under Large Geometric and Temporal Change. CoRR Tao Sun, Yan Hao, Shengyu Huang, Silvio Savarese, Konrad Schindler, Marc Pollefeys, Iro Armeni
2023	J	`jnl`	Pairwise Learning with Adaptive Online Gradient Descent. Trans. Mach. Learn. Res. Tao Sun, Qingsong Wang, Yunwen Lei, Dongsheng Li, Bao Wang
2023	J	`jnl`	Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz. CoRR Tao Sun, Congliang Chen, Peng Qiao, Li Shen, Xinwang Liu, Dongsheng Li
2023	J	`jnl`	Stability and Generalization for Minibatch SGD and Local SGD. CoRR Yunwen Lei, Tao Sun, Mingrui Liu
2023	A*	`conf`	Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD. AAAI Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li
2023	J	`jnl`	Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent. CoRR Xiaoge Deng, Li Shen, Shengwei Li, Tao Sun, Dongsheng Li, Dacheng Tao
2023	J	`jnl`	Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration. CoRR Peng Qiao, Sidun Liu, Tao Sun, Ke Yang, Yong Dou
2022	A*	`conf`	Adaptive Random Walk Gradient Descent for Decentralized Optimization. ICML Tao Sun, Dongsheng Li, Bao Wang
2022	J	`jnl`	Adaptive Temporal Difference Learning With Linear Function Approximation. IEEE Trans. Pattern Anal. Mach. Intell. Tao Sun, Han Shen, Tianyi Chen, Dongsheng Li
2022	J	`jnl`	Adaptive and Implicit Regularization for Matrix Completion. CoRR Zhemin Li, Tao Sun, Hongxia Wang, Bao Wang
2022	J	`jnl`	Adaptive and Implicit Regularization for Matrix Completion. SIAM J. Imaging Sci. Zhemin Li, Tao Sun, Hongxia Wang, Bao Wang
2022	J	`jnl`	An Adaptive Learning Rate Schedule for SIGNSGD Optimizer in Neural Networks. Neural Process. Lett. Kang Wang, Tao Sun, Yong Dou
2022	J	`jnl`	An automatic learning rate decay strategy for stochastic gradient descent optimization methods in neural networks. Int. J. Intell. Syst. Kang Wang, Yong Dou, Tao Sun, Peng Qiao, Dong Wen
2022	J	`jnl`	Capri: Consensus Accelerated Proximal Reweighted Iteration for A Class of Nonconvex Minimizations. IEEE Trans. Knowl. Data Eng. Tao Sun, Dongsheng Li
2022	A*	`conf`	Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks. NeurIPS Tao Sun, Dongsheng Li, Bao Wang
2022	J	`jnl`	General nonconvex total variation and low-rank regularizations: Model, algorithm and applications. Pattern Recognit. Tao Sun, Dongsheng Li
2022	J	`jnl`	Gradient Descent Learning With Floats. IEEE Trans. Cybern. Tao Sun, Ke Tang, Dongsheng Li
2022	—	`conf`	NTIRE 2022 Challenge on Perceptual Image Quality Assessment. CVPR Workshops 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	J	`jnl`	Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. SIAM J. Imaging Sci. Bao Wang, Tan M. Nguyen, Tao Sun, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher
2022	J	`jnl`	Sign Stochastic Gradient Descents without bounded gradient assumption for the finite sum minimization. Neural Networks Tao Sun, Dongsheng Li
2022	A*	`conf`	Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast. IJCAI Boqing Zhu, Kele Xu, Changjian Wang, Zheng Qin, Tao Sun, Huaimin Wang, Yuxing Peng
2022	J	`jnl`	Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast. CoRR Boqing Zhu, Kele Xu, Changjian Wang, Zheng Qin, Tao Sun, Huaimin Wang, Yuxing Peng
2021	J	`jnl`	Decentralized Federated Averaging. CoRR Tao Sun, Dongsheng Li, Bao Wang
2021	Misc	`conf`	Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. ICASSP Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li
2021	J	`jnl`	Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. CoRR Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li
2021	J	`jnl`	Nonergodic Complexity of Proximal Inertial Gradient Descents. IEEE Trans. Neural Networks Learn. Syst. Tao Sun, Linbo Qiao, Dongsheng Li
2021	J	`jnl`	Novel Convergence Results of Adaptive Stochastic Gradient Descents. IEEE Trans. Image Process. Tao Sun, Linbo Qiao, Qing Liao, Dong Sheng Li
2021	J	`jnl`	SASG: Sparsification with Adaptive Stochastic Gradients for Communication-efficient Distributed Learning. CoRR Xiaoge Deng, Tao Sun, Dongsheng Li
2021	A*	`conf`	Stability and Generalization of Decentralized Stochastic Gradient Descent. AAAI Tao Sun, Dongsheng Li, Bao Wang
2021	J	`jnl`	Stability and Generalization of the Decentralized Stochastic Gradient Descent. CoRR Tao Sun, Dongsheng Li, Bao Wang
2021	J	`jnl`	Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization. CoRR Tao Sun, Huaming Ling, Zuoqiang Shi, Dongsheng Li, Bao Wang
2020	J	`jnl`	A Nonconvex Implementation of Sparse Subspace Clustering: Algorithm and Convergence Analysis. IEEE Access Xiaoge Deng, Tao Sun, Peibing Du, Dongsheng Li
2020	J	`jnl`	Adaptive Temporal Difference Learning with Linear Function Approximation. CoRR Tao Sun, Han Shen, Tianyi Chen, Dongsheng Li
2020	J	`jnl`	An efficient parallel and distributed solution to nonconvex penalized linear SVMs. Frontiers Inf. Technol. Electron. Eng. Lei Guan, Tao Sun, Linbo Qiao, Zhi-hui Yang, Dongsheng Li, Ke-shi Ge, Xicheng Lu
2020	J	`jnl`	Markov chain block coordinate descent. Comput. Optim. Appl. Tao Sun, Yuejiao Sun, Yangyang Xu, Wotao Yin
2020	—	`conf`	PRIAG: Proximal Reweighted Incremental Aggregated Gradient Algorithm for Distributed Optimizations. ICA3PP (1) Xiaoge Deng, Tao Sun, Feng Liu, Feng Huang
2019	J	`jnl`	Bregman reweighted alternating minimization and its application to image deblurring. Inf. Sci. Tao Sun, Linbo Qiao, Dongsheng Li
2019	J	`jnl`	Convergence rates of accelerated proximal gradient algorithms under independent noise. Numer. Algorithms Tao Sun, Roberto Barrio, Hao Jiang, Lizhi Cheng
2019	J	`jnl`	Decentralized Markov Chain Gradient Descent. CoRR Tao Sun, Tianyi Chen, Yuejiao Sun, Qing Liao, Dongsheng Li
2019	J	`jnl`	Evolutionary optimization with hierarchical surrogates. Swarm Evol. Comput. Xiaofen Lu, Tao Sun, Ke Tang
2019	A*	`conf`	General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme. NeurIPS Tao Sun, Yuejiao Sun, Dongsheng Li, Qing Liao
2019	J	`jnl`	General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme. CoRR Tao Sun, Yuejiao Sun, Dongsheng Li, Qing Liao
2019	A*	`conf`	Heavy-ball Algorithms Always Escape Saddle Points. IJCAI Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou
2019	J	`jnl`	Heavy-ball Algorithms Always Escape Saddle Points. CoRR Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou
2019	J	`jnl`	Inertial Nonconvex Alternating Minimizations for the Image Deblurring. IEEE Trans. Image Process. Tao Sun, Roberto Barrio, Marcos Rodríguez, Hao Jiang
2019	J	`jnl`	Inertial nonconvex alternating minimizations for the image deblurring. CoRR Tao Sun, Roberto Barrio, Marcos Rodríguez, Hao Jiang
2019	Misc	`conf`	Iteratively Reweighted Penalty Alternating Minimization Methods with Continuation for Image Deblurring. ICASSP Tao Sun, Dongsheng Li, Hao Jiang, Zhe Quan
2019	J	`jnl`	Iteratively reweighted penalty alternating minimization methods with continuation for image deblurring. CoRR Tao Sun, Dongsheng Li, Hao Jiang, Zhe Quan
2019	A*	`conf`	Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms. AAAI Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang
2018	J	`jnl`	Alternating direction method of multipliers with difference of convex functions. Adv. Comput. Math. Tao Sun, Penghang Yin, Lizhi Cheng, Hao Jiang
2018	—	`conf`	An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines. ICDM Workshops Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Keshi Ge, Xicheng Lu
2018	J	`jnl`	An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines. CoRR Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Ke-shi Ge, Xicheng Lu
2018	J	`jnl`	Iteratively Linearized Reweighted Alternating Direction Method of Multipliers for a Class of Nonconvex Problems. IEEE Trans. Signal Process. Tao Sun, Hao Jiang, Lizhi Cheng, Wei Zhu
2018	A*	`conf`	LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning. NeurIPS Tianyi Chen, Georgios B. Giannakis, Tao Sun, Wotao Yin
2018	J	`jnl`	LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning. CoRR Tianyi Chen, Georgios B. Giannakis, Tao Sun, Wotao Yin
2018	J	`jnl`	Markov Chain Block Coordinate Descent. CoRR Tao Sun, Yuejiao Sun, Yangyang Xu, Wotao Yin
2018	A*	`conf`	On Markov Chain Gradient Descent. NeurIPS Tao Sun, Yuejiao Sun, Wotao Yin
2018	J	`jnl`	Precompact convergence of the nonconvex Primal-Dual Hybrid Gradient algorithm. J. Comput. Appl. Math. Tao Sun, Roberto Barrio, Lizhi Cheng, Hao Jiang
2017	J	`jnl`	Alternating projection for sparse recovery. IET Signal Process. Tao Sun, Peibing Du, Lizhi Cheng, Hao Jiang
2017	—	`conf`	Asynchronous Coordinate Descent under More Realistic Assumptions. NIPS Tao Sun, Robert Hannah, Wotao Yin
2017	J	`jnl`	Convergence of Proximal Iteratively Reweighted Nuclear Norm Algorithm for Image Processing. IEEE Trans. Image Process. Tao Sun, Hao Jiang, Lizhi Cheng
2017	J	`jnl`	Convergence of iterative hard-thresholding algorithm with continuation. Optim. Lett. Tao Sun, Lizhi Cheng
2017	J	`jnl`	Global convergence of proximal iteratively reweighted algorithm. J. Glob. Optim. Tao Sun, Hao Jiang, Lizhi Cheng
2017	J	`jnl`	Greedy method for robust linear regression. Neurocomputing Tao Sun, Lizhi Cheng, Hao Jiang
2017	J	`jnl`	Iteratively Linearized Reweighted Alternating Direction Method of Multipliers for a Class of Nonconvex Problems. CoRR Tao Sun, Hao Jiang, Lizhi Cheng
2017	—	`conf`	Projective Hard Thresholding Pursuit for Nonnegative Sparse Recovery. ISPA/IUCC Xiaoya Zhang, Hao Jiang, Tao Sun, Lizhi Cheng, Chun Huang, Canqun Yang
2016	—	`conf`	A Note on the Guarantees of Total Variation Minimization. ICIC (2) Hao Jiang, Tao Sun, Peibing Du, Shengguo Li, Chunjiang Li, Lizhi Cheng
2016	J	`jnl`	A note on the convergence of nonconvex line search. CoRR Tao Sun, Lizhi Cheng, Hao Jiang
2016	C	`conf`	Bilateral Sampling Randomized Singular Value Decomposition. PDCAT Hao Jiang, Peibing Du, Tao Sun, Housen Li, Lizhi Cheng, Canqun Yang
2016	J	`jnl`	Local Linear Convergence of a Primal-Dual Algorithm for the Augmented Convex Models. J. Sci. Comput. Tao Sun, Roberto Barrio, Hao Jiang, Lizhi Cheng
2016	J	`jnl`	Reweighted fast iterative shrinkage thresholding algorithm with restarts for IET Signal Process. Tao Sun, Lizhi Cheng
2014	J	`jnl`	Proximal linearized iteratively reweighted least squares for a class of nonconvex and nonsmooth problems. CoRR Hui Zhang, Tao Sun, Lizhi Cheng