Qing Ling - RankMe

178 papers A* 6A 1B 5C 3Misc 40Journal 104Unranked 18

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`	Topology-Independent Robustness of the Weighted Mean under Label Poisoning Attacks in Heterogeneous Decentralized Learning. CoRR Jie Peng, Weiyu Li, Stefan Vlaski, Qing Ling
2026	J	`jnl`	Toward Understanding the Tradeoff Between Privacy Preservation and Byzantine-Robustness in Decentralized Learning. IEEE Trans. Dependable Secur. Comput. Haoxiang Ye, Heng Zhu, Qing Ling
2025	—	`conf`	Byzantine-Resilient Decentralized Online Economic Dispatch for Smart Grids. DSP Runhua Wang, Qing Ling, Hoi-To Wai, Zhi Tian
2025	J	`jnl`	Byzantine-Robust and Communication-Efficient Personalized Federated Learning. IEEE Trans. Signal Process. Jiaojiao Zhang, Xuechao He, Yue Huang, Qing Ling
2025	Misc	`conf`	Can Fairness and Robustness Be Simultaneously Achieved Under Byzantine Attacks? ICASSP Huigan Zheng, Runhua Wang, Xiao Wang, Qing Ling
2025	A	`conf`	Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients. AISTATS Yue Huang, Jiaojiao Zhang, Qing Ling
2025	J	`jnl`	Generalization Error Matters in Decentralized Learning Under Byzantine Attacks. IEEE Trans. Signal Process. Haoxiang Ye, Qing Ling
2025	Misc	`conf`	Generalization Guarantee of Decentralized Learning with Heterogeneous Data. ICASSP Haoxiang Ye, Tao Sun, Qing Ling
2025	J	`jnl`	Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data. J. Mach. Learn. Res. Jie Peng, Weiyu Li, Stefan Vlaski, Qing Ling
2025	—	`conf`	Memory-Efficient Correlated Noise for Locally Differentially Private Momentum in Distributed Learning. MLSP Yue Huang, Jiaojiao Zhang, Qing Ling
2025	J	`jnl`	Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity. CoRR Qiankun Shi, Jie Peng, Kun Yuan, Xiao Wang, Qing Ling
2025	J	`jnl`	Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity. J. Mach. Learn. Res. Qiankun Shi, Jie Peng, Kun Yuan, Xiao Wang, Qing Ling
2025	J	`jnl`	Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications. IEEE Trans. Signal Process. Yue Huang, Zhaoxian Wu, Shiqian Ma, Qing Ling
2024	J	`jnl`	Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment. IEEE Trans. Signal Process. Xingrong Dong, Zhaoxian Wu, Qing Ling, Zhi Tian
2024	J	`jnl`	Byzantine-robust decentralized stochastic optimization with stochastic gradient noise-independent learning error. Signal Process. Jie Peng, Weiyu Li, Qing Ling
2024	Misc	`conf`	D3: Dual-Domain Defenses for Byzantine-Resilient Decentralized Resource Allocation. ICASSP Runhua Wang, Qing Ling, Zhi Tian
2024	J	`jnl`	Dual-Domain Defenses for Byzantine-Resilient Decentralized Resource Allocation. IEEE Trans. Signal Inf. Process. over Networks Runhua Wang, Qing Ling, Zhi Tian
2024	J	`jnl`	Generalization Error Matters in Decentralized Learning Under Byzantine Attacks. CoRR Haoxiang Ye, Qing Ling
2024	J	`jnl`	Mean Aggregator Is More Robust Than Robust Aggregators Under Label Poisoning Attacks. CoRR Jie Peng, Weiyu Li, Qing Ling
2024	A*	`conf`	Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks. IJCAI Jie Peng, Weiyu Li, Qing Ling
2024	Misc	`conf`	On the Convergence of Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness. ICASSP Yue Huang, Zhaoxian Wu, Qing Ling
2024	Misc	`conf`	On the Generalization Error of Byzantine-Resilient Decentralized Learning. ICASSP Haoxiang Ye, Qing Ling
2024	Misc	`conf`	On the Tradeoff Between Privacy Preservation and Byzantine-Robustness in Decentralized Learning. ICASSP Haoxiang Ye, Heng Zhu, Qing Ling
2024	J	`jnl`	Robust Reward-Free Actor-Critic for Cooperative Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Qifeng Lin, Qing Ling
2024	J	`jnl`	Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications. CoRR Yue Huang, Zhaoxian Wu, Shiqian Ma, Qing Ling
2023	J	`jnl`	A Communication-Efficient Decentralized Newton's Method With Provably Faster Convergence. IEEE Trans. Signal Inf. Process. over Networks Huikang Liu, Jiaojiao Zhang, Anthony Man-Cho So, Qing Ling
2023	J	`jnl`	Byzantine-Resilient Decentralized Stochastic Optimization With Robust Aggregation Rules. IEEE Trans. Signal Process. Zhaoxian Wu, Tianyi Chen, Qing Ling
2023	J	`jnl`	Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error. CoRR Jie Peng, Weiyu Li, Qing Ling
2023	J	`jnl`	Byzantine-Robust Distributed Learning With Compression. IEEE Trans. Signal Inf. Process. over Networks Heng Zhu, Qing Ling
2023	J	`jnl`	Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment. CoRR Xingrong Dong, Zhaoxian Wu, Qing Ling, Zhi Tian
2023	Misc	`conf`	Byzantine-Robust and Communication-Efficient Personalized Federated Learning. ICASSP Xuechao He, Jiaojiao Zhang, Qing Ling
2023	J	`jnl`	C-RSA: Byzantine-robust and communication-efficient distributed learning in the non-convex and non-IID regime. Signal Process. Xuechao He, Heng Zhu, Qing Ling
2023	J	`jnl`	Confederated Learning: Federated Learning With Decentralized Edge Servers. IEEE Trans. Signal Process. Bin Wang, Jun Fang, Hongbin Li, Xiaojun Yuan, Qing Ling
2023	Misc	`conf`	Distributed Online Learning With Adversarial Participants In An Adversarial Environment. ICASSP Xingrong Dong, Zhaoxian Wu, Qing Ling, Zhi Tian
2023	J	`jnl`	Lazy Queries Can Reduce Variance in Zeroth-Order Optimization. IEEE Trans. Signal Process. Quan Xiao, Qing Ling, Tianyi Chen
2023	J	`jnl`	On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning. CoRR Haoxiang Ye, Heng Zhu, Qing Ling
2023	J	`jnl`	Quantization Bits Allocation for Wireless Federated Learning. IEEE Trans. Wirel. Commun. Muhang Lan, Qing Ling, Song Xiao, Wenyi Zhang
2023	J	`jnl`	Spectral Adversarial Training for Robust Graph Neural Network. IEEE Trans. Knowl. Data Eng. Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, Tingting Liang, Qing Ling
2023	J	`jnl`	Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning. IEEE Trans. Signal Process. Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling
2022	Misc	`conf`	A Byzantine-Resilient Dual Subgradient Method for Vertical Federated Learning. ICASSP Kun Yuan, Zhaoxian Wu, Qing Ling
2022	A*	`conf`	Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation. IJCAI Heng Zhu, Qing Ling
2022	J	`jnl`	Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation. CoRR Heng Zhu, Qing Ling
2022	Misc	`conf`	Byzantine-Resilient Decentralized Resource Allocation. ICASSP Runhua Wang, Yaohua Liu, Qing Ling
2022	J	`jnl`	Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules. CoRR Zhaoxian Wu, Tianyi Chen, Qing Ling
2022	J	`jnl`	Byzantine-Resilient Resource Allocation Over Decentralized Networks. IEEE Trans. Signal Process. Runhua Wang, Yaohua Liu, Qing Ling
2022	Misc	`conf`	Byzantine-Robust Aggregation with Gradient Difference Compression and Stochastic Variance Reduction for Federated Learning. ICASSP Heng Zhu, Qing Ling
2022	Misc	`conf`	Byzantine-Robust and Communication-Efficient Distributed Non-Convex Learning Over Non-IID Data. ICASSP Xuechao He, Heng Zhu, Qing Ling
2022	J	`jnl`	Byzantine-robust variance-reduced federated learning over distributed non-i.i.d. data. Inf. Sci. Jie Peng, Zhaoxian Wu, Qing Ling, Tianyi Chen
2022	J	`jnl`	Communication-Censored Distributed Stochastic Gradient Descent. IEEE Trans. Neural Networks Learn. Syst. Weiyu Li, Zhaoxian Wu, Tianyi Chen, Liping Li, Qing Ling
2022	J	`jnl`	Confederated Learning: Federated Learning with Decentralized Edge Servers. CoRR Bin Wang, Jun Fang, Hongbin Li, Xiaojun Yuan, Qing Ling
2022	J	`jnl`	DQC-ADMM: Decentralized Dynamic ADMM With Quantized and Censored Communications. IEEE Trans. Neural Networks Learn. Syst. Yaohua Liu, Gang Wu, Zhi Tian, Qing Ling
2022	J	`jnl`	Lazy Queries Can Reduce Variance in Zeroth-order Optimization. CoRR Quan Xiao, Qing Ling, Tianyi Chen
2022	J	`jnl`	Resource Price-Aware Offloading for Edge-Cloud Collaboration: A Two-Timescale Online Control Approach. IEEE Trans. Cloud Comput. Rui Li, Zhi Zhou, Xu Chen, Qing Ling
2022	J	`jnl`	Spectral Adversarial Training for Robust Graph Neural Network. CoRR Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, Tingting Liang, Qing Ling
2022	J	`jnl`	Stochastic alternating direction method of multipliers for Byzantine-robust distributed learning. Signal Process. Feng Lin, Weiyu Li, Qing Ling
2022	Misc	`conf`	Variance Reduction-Boosted Byzantine Robustness in Decentralized Stochastic Optimization. ICASSP Jie Peng, Weiyu Li, Qing Ling
2022	J	`jnl`	Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I. CoRR Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling
2021	J	`jnl`	A Newton Tracking Algorithm With Exact Linear Convergence for Decentralized Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks Jiaojiao Zhang, Qing Ling, Anthony Man-Cho So
2021	J	`jnl`	A Penalty Alternating Direction Method of Multipliers for Convex Composite Optimization Over Decentralized Networks. IEEE Trans. Signal Process. Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling
2021	J	`jnl`	BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning. CoRR Heng Zhu, Qing Ling
2021	J	`jnl`	Byzantine-Resilient Decentralized Policy Evaluation With Linear Function Approximation. IEEE Trans. Signal Process. Zhaoxian Wu, Han Shen, Tianyi Chen, Qing Ling
2021	Misc	`conf`	Byzantine-Resilient Decentralized TD Learning with Linear Function Approximation. ICASSP Zhaoxian Wu, Han Shen, Tianyi Chen, Qing Ling
2021	J	`jnl`	Byzantine-robust decentralized stochastic optimization over static and time-varying networks. Signal Process. Jie Peng, Weiyu Li, Qing Ling
2021	J	`jnl`	Deep Adversarial Data Augmentation for Extremely Low Data Regimes. IEEE Trans. Circuits Syst. Video Technol. Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qifeng Lin, Qing Ling
2021	J	`jnl`	Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning. CoRR Feng Lin, Weiyu Li, Qing Ling
2020	—	`conf`	A Newton Tracking Algorithm with Exact Linear Convergence Rate for Decentralized Consensus Optimization. CDC Jiaojiao Zhang, Qing Ling, Anthony Man-Cho So
2020	Misc	`conf`	A Penalty Alternating Direction Method of Multipliers for Decentralized Composite Optimization. ICASSP Jiaojiao Zhang, Anthony Man-Cho So, Qing Ling
2020	J	`jnl`	Byzantine-Robust Decentralized Stochastic Optimization over Static and Time-Varying Networks. CoRR Jie Peng, Qing Ling
2020	Misc	`conf`	Byzantine-Robust Decentralized Stochastic Optimization. ICASSP Jie Peng, Qing Ling
2020	J	`jnl`	Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data. CoRR Jie Peng, Zhaoxian Wu, Qing Ling
2020	J	`jnl`	Can Primal Methods Outperform Primal-Dual Methods in Decentralized Dynamic Optimization? IEEE Trans. Signal Process. Kun Yuan, Wei Xu, Qing Ling
2020	J	`jnl`	Communication-Censored Linearized ADMM for Decentralized Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling
2020	J	`jnl`	Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks. IEEE Trans. Signal Process. Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis
2020	J	`jnl`	HierTrain: Fast Hierarchical Edge AI Learning With Hybrid Parallelism in Mobile-Edge-Cloud Computing. IEEE Open J. Commun. Soc. Deyin Liu, Xu Chen, Zhi Zhou, Qing Ling
2020	J	`jnl`	HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing. CoRR Deyin Liu, Xu Chen, Zhi Zhou, Qing Ling
2020	—	`conf`	Isotropic Reconstruction of 3D EM Images with Unsupervised Degradation Learning. MICCAI (5) Shiyu Deng, Xueyang Fu, Zhiwei Xiong, Chang Chen, Dong Liu, Xuejin Chen, Qing Ling, Feng Wu
2020	J	`jnl`	Quantum State Filter With Disturbance and Noise. IEEE Trans. Autom. Control. Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li, Herschel Rabitz
2020	Misc	`conf`	Resilient to Byzantine Attacks Finite-Sum Optimization Over Networks. ICASSP Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis
2020	Misc	`conf`	Stochastic Admm For Byzantine-Robust Distributed Learning. ICASSP Feng Lin, Qing Ling, Weiyu Li, Zhiwei Xiong
2019	J	`jnl`	An Efficient and Fast Quantum State Estimator With Sparse Disturbance. IEEE Trans. Cybern. Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li
2019	—	`conf`	Byzantine-Robust Stochastic Gradient Descent for Distributed Low-Rank Matrix Completion. DSW Xuechao He, Qing Ling, Tianyi Chen
2019	Misc	`conf`	Byzantine-resilient Distributed Large-scale Matrix Completion. ICASSP Feng Lin, Qing Ling, Zhiwei Xiong
2019	Misc	`conf`	COLA: Communication-censored Linearized ADMM for Decentralized Consensus Optimization. ICASSP Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling
2019	J	`jnl`	Communication-Censored ADMM for Decentralized Consensus Optimization. IEEE Trans. Signal Process. Yaohua Liu, Wei Xu, Gang Wu, Zhi Tian, Qing Ling
2019	J	`jnl`	Communication-Censored Distributed Stochastic Gradient Descent. CoRR Weiyu Li, Tianyi Chen, Liping Li, Qing Ling
2019	Misc	`conf`	DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification. ICASSP Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qing Ling
2019	Misc	`conf`	Decentralized Dynamic ADMM with Quantized and Censored Communications. ACSSC Yaohua Liu, Kun Yuan, Gang Wu, Zhi Tian, Qing Ling
2019	J	`jnl`	Distributed stochastic gradient descent for link prediction in signed social networks. EURASIP J. Adv. Signal Process. Han Zhang, Gang Wu, Qing Ling
2019	J	`jnl`	Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks. CoRR Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis
2019	Misc	`conf`	On the Comparison between Primal and Primal-dual Methods in Decentralized Dynamic Optimization. ACSSC Wei Xu, Kun Yuan, Wotao Yin, Qing Ling
2019	A*	`conf`	RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets. AAAI Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling
2018	Misc	`conf`	COCA: Communication-Censored ADMM for Decentralized Consensus Optimization. ACSSC Yaohua Liu, Wei Xu, Gang Wu, Zhi Tian, Qing Ling
2018	J	`jnl`	DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification. CoRR Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qing Ling
2018	J	`jnl`	Decentralized Consensus Optimization With Asynchrony and Delays. IEEE Trans. Signal Inf. Process. over Networks Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali H. Sayed
2018	J	`jnl`	Decentralized RLS With Data-Adaptive Censoring for Regressions Over Large-Scale Networks. IEEE Trans. Signal Process. Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios B. Giannakis
2018	J	`jnl`	Distributed constrained optimisation over cloud-based multi-agent networks. Int. J. Sens. Networks Wei Xu, Qing Ling, Yongcheng Li, Manxi Wang
2018	J	`jnl`	Evacuate Before Too Late: Distributed Backup in Inter-DC Networks with Progressive Disasters. IEEE Trans. Parallel Distributed Syst. Xiaokang Xie, Qing Ling, Ping Lu, Wei Xu, Zuqing Zhu
2018	J	`jnl`	Heterogeneous Online Learning for "Thing-Adaptive" Fog Computing in IoT. IEEE Internet Things J. Tianyi Chen, Qing Ling, Yanning Shen, Georgios B. Giannakis
2018	J	`jnl`	Learn-and-Adapt Stochastic Dual Gradients for Network Resource Allocation. IEEE Trans. Control. Netw. Syst. Tianyi Chen, Qing Ling, Georgios B. Giannakis
2018	J	`jnl`	RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets. CoRR Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling
2018	Misc	`conf`	Robust Decentralized Dynamic Optimization. ICASSP Wei Xu, Zhengqing Li, Qing Ling
2018	J	`jnl`	Robust decentralized dynamic optimization at presence of malfunctioning agents. Signal Process. Wei Xu, Zhengqing Li, Qing Ling
2018	B	`conf`	Tensor-Based Light Field Denoising by Integrating Super-Resolution. ICIP Yun Liu, Na Qi, Zhen Cheng, Dong Liu, Qing Ling, Zhiwei Xiong
2017	—	`conf`	ADMM-based distributed algorithm for emergency backup in time-variant inter-DC networks. ICC Xiaokang Xie, Qing Ling, Ping Lu, Zuqing Zhu
2017	J	`jnl`	An Online Convex Optimization Approach to Dynamic Network Resource Allocation. CoRR Tianyi Chen, Qing Ling, Georgios B. Giannakis
2017	J	`jnl`	An Online Convex Optimization Approach to Proactive Network Resource Allocation. IEEE Trans. Signal Process. Tianyi Chen, Qing Ling, Georgios B. Giannakis
2017	—	`conf`	Asynchronous periodic event-triggered coordination of multi-agent systems. CDC Yaohua Liu, Cameron Nowzari, Zhi Tian, Qing Ling
2017	J	`jnl`	Biomedical informatics with optimization and machine learning. EURASIP J. Bioinform. Syst. Biol. Thomas S. Huang, Jiayu Zhou, Zhangyang Wang, Qing Ling, Yang Shen
2017	—	`conf`	Decentralized bundle method for nonsmooth consensus optimization. GlobalSIP Zifeng Wang, Qing Ling, Wotao Yin
2017	Misc	`conf`	Distributed recursive least-squares with data-adaptive censoring. ICASSP Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios B. Giannakis
2017	J	`jnl`	Learn-and-Adapt Stochastic Dual Gradients for Network Resource Allocation. CoRR Tianyi Chen, Qing Ling, Georgios B. Giannakis
2017	—	`conf`	Learn-and-adapt network resource allocation. SPAWC Tianyi Chen, Qing Ling, Georgios B. Giannakis
2017	J	`jnl`	Network Newton Distributed Optimization Methods. IEEE Trans. Signal Process. Aryan Mokhtari, Qing Ling, Alejandro Ribeiro
2017	—	`conf`	Online convex optimization for dynamic network resource allocation. EUSIPCO Tianyi Chen, Qing Ling, Georgios B. Giannakis
2017	Misc	`conf`	Online learning for "thing-adaptive" Fog Computing in IoT. ACSSC Tianyi Chen, Yanning Shen, Qing Ling, Georgios B. Giannakis
2017	J	`jnl`	Video restoration based on a novel second order nonlocal total variation model. Signal Process. Zhenbo Lu, Qing Ling, Houqiang Li, Weiping Li
2016	J	`jnl`	$\mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. CoRR Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Thomas S. Huang
2016	J	`jnl`	A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization. CoRR Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro
2016	J	`jnl`	A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro
2016	—	`conf`	A decentralized Second-Order Method for Dynamic Optimization. CDC Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro
2016	Misc	`conf`	Communication-efficient weighted ADMM for decentralized network optimization. ICASSP Qing Ling, Yaohua Liu, Wei Shi, Zhi Tian
2016	A*	`conf`	D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. CVPR Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang
2016	J	`jnl`	DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers. IEEE Trans. Signal Process. Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro
2016	J	`jnl`	Decentralized Consensus Optimization with Asynchrony and Delays. CoRR Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali H. Sayed
2016	J	`jnl`	Decentralized RLS with Data-Adaptive Censoring for Regressions over Large-Scale Networks. CoRR Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios B. Giannakis
2016	Misc	`conf`	Decentralized consensus optimization with asynchrony and delays. ACSSC Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali H. Sayed
2016	—	`conf`	Decentralized constrained consensus optimization with primal dual splitting projection. GlobalSIP Han Zhang, Wei Shi, Aryan Mokhtari, Alejandro Ribeiro, Qing Ling
2016	—	`conf`	Distributed Constrained Optimization Over Cloud-Based Multi-agent Networks. WASA Qing Ling, Wei Xu, Manxi Wang, Yongcheng Li
2016	—	`conf`	Distributed network resource allocation with integer constraints. GlobalSIP Yujiao Cheng, Houfeng Huang, Gang Wu, Qing Ling
2016	Misc	`conf`	ESOM: Exact second-order method for consensus optimization. ACSSC Aryan Mokhtari, Wei Shi, Qing Ling
2016	A*	`conf`	Learning A Deep ℓ IJCAI Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang
2016	J	`jnl`	Learning A Deep ℓ CoRR Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang
2016	A*	`conf`	Learning Deep ℓ AAAI Zhangyang Wang, Qing Ling, Thomas S. Huang
2016	J	`jnl`	Maximizing Utility of Time-Constrained Emergency Backup in Inter-Datacenter Networks. IEEE Commun. Lett. Ping Lu, Qing Ling, Zuqing Zhu
2016	J	`jnl`	On the Convergence of Decentralized Gradient Descent. SIAM J. Optim. Kun Yuan, Qing Ling, Wotao Yin
2016	J	`jnl`	Weighted ADMM for Fast Decentralized Network Optimization. IEEE Trans. Signal Process. Qing Ling, Yaohua Liu, Wei Shi, Zhi Tian
2015	J	`jnl`	A Proximal Gradient Algorithm for Decentralized Composite Optimization. IEEE Trans. Signal Process. Wei Shi, Qing Ling, Gang Wu, Wotao Yin
2015	J	`jnl`	A decentralised linear programming approach to energy-efficient event detection. Int. J. Sens. Networks Kun Yuan, Qing Ling, Zhi Tian
2015	Misc	`conf`	A proximal gradient algorithm for decentralized nondifferentiable optimization. ICASSP Wei Shi, Qing Ling, Gang Wu, Wotao Yin
2015	Misc	`conf`	An approximate Newton method for distributed optimization. ICASSP Aryan Mokhtari, Qing Ling, Alejandro Ribeiro
2015	J	`jnl`	Communication-Efficient Decentralized Event Monitoring in Wireless Sensor Networks. IEEE Trans. Parallel Distributed Syst. Kun Yuan, Qing Ling, Zhi Tian
2015	J	`jnl`	DLM: Decentralized Linearized Alternating Direction Method of Multipliers. IEEE Trans. Signal Process. Qing Ling, Wei Shi, Gang Wu, Alejandro Ribeiro
2015	J	`jnl`	Decentralized learning for wireless communications and networking. CoRR Georgios B. Giannakis, Qing Ling, Gonzalo Mateos, Ioannis D. Schizas, Hao Zhu
2015	—	`conf`	Decentralized quadratically approximated alternating direction method of multipliers. GlobalSIP Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro
2015	J	`jnl`	EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization. SIAM J. Optim. Wei Shi, Qing Ling, Gang Wu, Wotao Yin
2015	J	`jnl`	Learning Deep ℓ CoRR Zhangyang Wang, Qing Ling, Thomas S. Huang
2014	J	`jnl`	Decentralized Dynamic Optimization Through the Alternating Direction Method of Multipliers. IEEE Trans. Signal Process. Qing Ling, Alejandro Ribeiro
2014	Misc	`conf`	Decentralized linearized alternating direction method of multipliers. ICASSP Qing Ling, Alejandro Ribeiro
2014	Misc	`conf`	Network Newton. ACSSC Aryan Mokhtari, Qing Ling, Alejandro Ribeiro
2014	J	`jnl`	On the Linear Convergence of the ADMM in Decentralized Consensus Optimization. IEEE Trans. Signal Process. Wei Shi, Qing Ling, Kun Yuan, Gang Wu, Wotao Yin
2013	—	`conf`	A linearized bregman algorithm for decentralized basis pursuit. EUSIPCO Kun Yuan, Qing Ling, Wotao Yin, Alejandro Ribeiro
2013	J	`jnl`	Decentralized Jointly Sparse Optimization by Reweighted l IEEE Trans. Signal Process. Qing Ling, Zaiwen Wen, Wotao Yin
2013	—	`conf`	Decentralized dynamic optimization through the alternating direction method of multipliers. SPAWC Qing Ling, Alejandro Ribeiro
2013	J	`jnl`	Detection of Blotch and Scratch in Video Based on Video Decomposition. IEEE Trans. Circuits Syst. Video Technol. Houqiang Li, Zhenbo Lu, Zhangyang Wang, Qing Ling, Weiping Li
2013	Misc	`conf`	High-dimensional sparse covariance estimation for random signals. ICASSP Ahmed O. Nasif, Zhi Tian, Qing Ling
2013	Misc	`conf`	Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers. ICASSP Wei Shi, Qing Ling, Kun Yuan, Gang Wu, Wotao Yin
2013	J	`jnl`	Robust Temporal-Spatial Decomposition and Its Applications in Video Processing. IEEE Trans. Circuits Syst. Video Technol. Zhangyang Wang, Houqiang Li, Qing Ling, Weiping Li
2012	J	`jnl`	A multi-block alternating direction method with parallel splitting for decentralized consensus optimization. EURASIP J. Wirel. Commun. Netw. Qing Ling, Min Tao, Wotao Yin, Xiaoming Yuan
2012	Misc	`conf`	Decentralized low-rank matrix completion. ICASSP Qing Ling, Yangyang Xu, Wotao Yin, Zaiwen Wen
2012	J	`jnl`	Distributed Sensor Allocation for Multi-Target Tracking in Wireless Sensor Networks. IEEE Trans. Aerosp. Electron. Syst. Yinfei Fu, Qing Ling, Zhi Tian
2012	C	`conf`	Mixed Gaussian-impulse video noise removal via temporal-spatial decomposition. ISCAS Zhangyang Wang, Houqiang Li, Qing Ling, Weiping Li
2012	—	`conf`	Sparse FIR estimation of low-order systems. SSP Qing Ling, Wei Shi, Gang Wu, Zhi Tian
2012	B	`conf`	Video error concealment via total variation regularized matrix completion. ICIP Zhefei Yu, Zhangyang Wang, Zeng Hu, Houqiang Li, Qing Ling
2012	B	`conf`	Video frame interpolation using 3-D total variation regularized completion. ICIP Zhefei Yu, Zhangyang Wang, Zeng Hu, Qing Ling, Houqiang Li
2011	Misc	`conf`	Decentralized support detection of multiple measurement vectors with joint sparsity. ICASSP Qing Ling, Zhi Tian
2011	Misc	`conf`	Integrating preference based weighted sum into evolutionary multi-objective optimization. ICNC Guanghong Liu, Gang Wu, Tao Zheng, Qing Ling
2011	J	`jnl`	Localized sensor management for multi-target tracking in wireless sensor networks. Inf. Fusion Qing Ling, Yinfei Fu, Zhi Tian
2010	J	`jnl`	Decentralized sparse signal recovery for compressive sleeping wireless sensor networks. IEEE Trans. Signal Process. Qing Ling, Zhi Tian
2010	C	`conf`	Denoising and error correction in wireless sensor networks. FUSION Qing Ling, Gang Wu, Zhi Tian
2010	Misc	`conf`	Energy-efficient decentralized event detection in large-scale wireless sensor networks. ICASSP Qing Ling, Fanzi Zeng, Zhi Tian
2009	C	`conf`	A decentralized Gauss-Seidel approach for in-network sparse signal recovery. FUSION Qing Ling, Zhi Tian
2009	J	`jnl`	Distributed decision-making in wireless sensor networks for online structural health monitoring. J. Commun. Networks Qing Ling, Zhi Tian, Yue Li
2008	J	`jnl`	Crowding clustering genetic algorithm for multimodal function optimization. Appl. Soft Comput. Qing Ling, Gang Wu, Zaiyue Yang, Qiuping Wang
2007	—	`ch.`	Deterministic Robust Optimal Design Based on Standard Crowding Genetic Algorithm. Evolutionary Computation in Dynamic and Uncertain Environments Qing Ling, Gang Wu, Qiuping Wang
2007	B	`conf`	Minimum Node Degree and k-Connectivity of a Wireless Multihop Network in Bounded Area. GLOBECOM Qing Ling, Zhi Tian
2007	J	`jnl`	Piecewise Patching for Time-shifted TV Over HFC Networks. IEEE Trans. Consumer Electron. Wei Xiang, Gang Wu, Qing Ling, Lei Wang
2005	B	`conf`	Restricted evolution based multimodal function optimization in holographic grating design. Congress on Evolutionary Computation Qing Ling, Gang Wu, Qiuping Wang