Restricted evolution based multimodal function optimization in holographic grating design. - Qing Ling 001; Gang Wu 011; Qiuping Wang (Congress on Evolutionary Computation, 2005)

Minimum Node Degree and k-Connectivity of a Wireless Multihop Network in Bounded Area. - Qing Ling 001; Zhi Tian (GLOBECOM, 2007)

Piecewise Patching for Time-shifted TV Over HFC Networks. - Wei Xiang; Gang Wu 011; Qing Ling 001; Lei Wang (IEEE Trans. Consumer Electron., 2007)

Deterministic Robust Optimal Design Based on Standard Crowding Genetic Algorithm. - Qing Ling 001; Gang Wu 011; Qiuping Wang (Evolutionary Computation in Dynamic and Uncertain Environments, 2007)

Crowding clustering genetic algorithm for multimodal function optimization. - Qing Ling 001; Gang Wu 011; Zaiyue Yang; Qiuping Wang (Appl. Soft Comput., 2008)

A decentralized Gauss-Seidel approach for in-network sparse signal recovery. - Qing Ling 001; Zhi Tian (FUSION, 2009)

Distributed decision-making in wireless sensor networks for online structural health monitoring. - Qing Ling 001; Zhi Tian; Yue Li 031 (J. Commun. Networks, 2009)

Denoising and error correction in wireless sensor networks. - Qing Ling 001; Gang Wu 011; Zhi Tian (FUSION, 2010)

Energy-efficient decentralized event detection in large-scale wireless sensor networks. - Qing Ling 001; Fanzi Zeng; Zhi Tian (ICASSP, 2010)

Decentralized sparse signal recovery for compressive sleeping wireless sensor networks. - Qing Ling 001; Zhi Tian (IEEE Trans. Signal Process., 2010)

Decentralized support detection of multiple measurement vectors with joint sparsity. - Qing Ling 001; Zhi Tian (ICASSP, 2011)

Integrating preference based weighted sum into evolutionary multi-objective optimization. - Guanghong Liu; Gang Wu 011; Tao Zheng; Qing Ling 001 (ICNC, 2011)

Localized sensor management for multi-target tracking in wireless sensor networks. - Qing Ling 001; Yinfei Fu; Zhi Tian (Inf. Fusion, 2011)

Decentralized low-rank matrix completion. - Qing Ling 001; Yangyang Xu; Wotao Yin; Zaiwen Wen (ICASSP, 2012)

Video frame interpolation using 3-D total variation regularized completion. - Zhefei Yu; Zhangyang Wang; Zeng Hu; Qing Ling 001; Houqiang Li (ICIP, 2012)

Video error concealment via total variation regularized matrix completion. - Zhefei Yu; Zhangyang Wang; Zeng Hu; Houqiang Li; Qing Ling 001 (ICIP, 2012)

Mixed Gaussian-impulse video noise removal via temporal-spatial decomposition. - Zhangyang Wang; Houqiang Li; Qing Ling 001; Weiping Li (ISCAS, 2012)

Sparse FIR estimation of low-order systems. - Qing Ling 001; Wei Shi 010; Gang Wu 011; Zhi Tian (SSP, 2012)

A multi-block alternating direction method with parallel splitting for decentralized consensus optimization. - Qing Ling 001; Min Tao; Wotao Yin; Xiaoming Yuan 001 (EURASIP J. Wirel. Commun. Netw., 2012)

Distributed Sensor Allocation for Multi-Target Tracking in Wireless Sensor Networks. - Yinfei Fu; Qing Ling 001; Zhi Tian (IEEE Trans. Aerosp. Electron. Syst., 2012)

A linearized bregman algorithm for decentralized basis pursuit. - Kun Yuan 001; Qing Ling 001; Wotao Yin; Alejandro Ribeiro (EUSIPCO, 2013)

High-dimensional sparse covariance estimation for random signals. - Ahmed O. Nasif; Zhi Tian; Qing Ling 001 (ICASSP, 2013)

Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers. - Wei Shi 010; Qing Ling 001; Kun Yuan 001; Gang Wu 011; Wotao Yin (ICASSP, 2013)

Detection of Blotch and Scratch in Video Based on Video Decomposition. - Houqiang Li; Zhenbo Lu; Zhangyang Wang; Qing Ling 001; Weiping Li (IEEE Trans. Circuits Syst. Video Technol., 2013)

Robust Temporal-Spatial Decomposition and Its Applications in Video Processing. - Zhangyang Wang; Houqiang Li; Qing Ling 001; Weiping Li (IEEE Trans. Circuits Syst. Video Technol., 2013)

Decentralized Jointly Sparse Optimization by Reweighted lq Minimization. - Qing Ling 001; Zaiwen Wen; Wotao Yin (IEEE Trans. Signal Process., 2013)

Network Newton. - Aryan Mokhtari; Qing Ling 001; Alejandro Ribeiro (ACSSC, 2014)

Decentralized linearized alternating direction method of multipliers. - Qing Ling 001; Alejandro Ribeiro (ICASSP, 2014)

Decentralized Dynamic Optimization Through the Alternating Direction Method of Multipliers. - Qing Ling 001; Alejandro Ribeiro (IEEE Trans. Signal Process., 2014)

On the Linear Convergence of the ADMM in Decentralized Consensus Optimization. - Wei Shi 010; Qing Ling 001; Kun Yuan 001; Gang Wu 011; Wotao Yin (IEEE Trans. Signal Process., 2014)

Decentralized quadratically approximated alternating direction method of multipliers. - Aryan Mokhtari; Wei Shi 010; Qing Ling 001; Alejandro Ribeiro (GlobalSIP, 2015)

An approximate Newton method for distributed optimization. - Aryan Mokhtari; Qing Ling 001; Alejandro Ribeiro (ICASSP, 2015)

A proximal gradient algorithm for decentralized nondifferentiable optimization. - Wei Shi 010; Qing Ling 001; Gang Wu 011; Wotao Yin (ICASSP, 2015)

Decentralized learning for wireless communications and networking. - Georgios B. Giannakis; Qing Ling 001; Gonzalo Mateos; Ioannis D. Schizas; Hao Zhu 001 (CoRR, 2015)

A decentralised linear programming approach to energy-efficient event detection. - Kun Yuan 001; Qing Ling 001; Zhi Tian (Int. J. Sens. Networks, 2015)

EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization. - Wei Shi 010; Qing Ling 001; Gang Wu 011; Wotao Yin (SIAM J. Optim., 2015)

Communication-Efficient Decentralized Event Monitoring in Wireless Sensor Networks. - Kun Yuan 001; Qing Ling 001; Zhi Tian (IEEE Trans. Parallel Distributed Syst., 2015)

DLM: Decentralized Linearized Alternating Direction Method of Multipliers. - Qing Ling 001; Wei Shi 010; Gang Wu 011; Alejandro Ribeiro (IEEE Trans. Signal Process., 2015)

A Proximal Gradient Algorithm for Decentralized Composite Optimization. - Wei Shi 010; Qing Ling 001; Gang Wu 011; Wotao Yin (IEEE Trans. Signal Process., 2015)

Learning Deep ℓ0 Encoders. - Zhangyang Wang; Qing Ling 001; Thomas S. Huang (AAAI, 2016)

ESOM: Exact second-order method for consensus optimization. - Aryan Mokhtari; Wei Shi 010; Qing Ling 001 (ACSSC, 2016)

A decentralized Second-Order Method for Dynamic Optimization. - Aryan Mokhtari; Wei Shi 010; Qing Ling 001; Alejandro Ribeiro (CDC, 2016)

D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. - Zhangyang Wang; Ding Liu 001; Shiyu Chang; Qing Ling 001; Yingzhen Yang; Thomas S. Huang (CVPR, 2016)

Distributed network resource allocation with integer constraints. - Yujiao Cheng; Houfeng Huang; Gang Wu 011; Qing Ling 001 (GlobalSIP, 2016)

Decentralized constrained consensus optimization with primal dual splitting projection. - Han Zhang; Wei Shi 010; Aryan Mokhtari; Alejandro Ribeiro; Qing Ling 001 (GlobalSIP, 2016)

Communication-efficient weighted ADMM for decentralized network optimization. - Qing Ling 001; Yaohua Liu; Wei Shi 010; Zhi Tian (ICASSP, 2016)

Learning A Deep ℓ∞ Encoder for Hashing. - Zhangyang Wang; Yingzhen Yang; Shiyu Chang; Qing Ling 001; Thomas S. Huang (IJCAI, 2016)

Distributed Constrained Optimization Over Cloud-Based Multi-agent Networks. - Qing Ling 001; Wei Xu 010; Manxi Wang; Yongcheng Li (WASA, 2016)

$ mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. - Zhangyang Wang; Ding Liu 001; Shiyu Chang; Qing Ling 001; Thomas S. Huang (CoRR, 2016)

Maximizing Utility of Time-Constrained Emergency Backup in Inter-Datacenter Networks. - Ping Lu 001; Qing Ling 001; Zuqing Zhu (IEEE Commun. Lett., 2016)

On the Convergence of Decentralized Gradient Descent. - Kun Yuan 001; Qing Ling 001; Wotao Yin (SIAM J. Optim., 2016)

A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization. - Aryan Mokhtari; Wei Shi 010; Qing Ling 001; Alejandro Ribeiro (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Weighted ADMM for Fast Decentralized Network Optimization. - Qing Ling 001; Yaohua Liu; Wei Shi 010; Zhi Tian (IEEE Trans. Signal Process., 2016)

DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers. - Aryan Mokhtari; Wei Shi 010; Qing Ling 001; Alejandro Ribeiro (IEEE Trans. Signal Process., 2016)

Online learning for "thing-adaptive" Fog Computing in IoT. - Tianyi Chen; Yanning Shen; Qing Ling 001; Georgios B. Giannakis (ACSSC, 2017)

Asynchronous periodic event-triggered coordination of multi-agent systems. - Yaohua Liu; Cameron Nowzari; Zhi Tian; Qing Ling 001 (CDC, 2017)

Online convex optimization for dynamic network resource allocation. - Tianyi Chen; Qing Ling 001; Georgios B. Giannakis (EUSIPCO, 2017)

Decentralized bundle method for nonsmooth consensus optimization. - Zifeng Wang 003; Qing Ling 001; Wotao Yin (GlobalSIP, 2017)

Distributed recursive least-squares with data-adaptive censoring. - Zifeng Wang 003; Zheng Yu; Qing Ling 001; Dimitris Berberidis; Georgios B. Giannakis (ICASSP, 2017)

ADMM-based distributed algorithm for emergency backup in time-variant inter-DC networks. - Xiaokang Xie; Qing Ling 001; Ping Lu 001; Zuqing Zhu (ICC, 2017)

Learn-and-adapt network resource allocation. - Tianyi Chen; Qing Ling 001; Georgios B. Giannakis (SPAWC, 2017)

An Online Convex Optimization Approach to Dynamic Network Resource Allocation. - Tianyi Chen; Qing Ling 001; Georgios B. Giannakis (CoRR, 2017)

Biomedical informatics with optimization and machine learning. - Thomas S. Huang; Jiayu Zhou; Zhangyang Wang; Qing Ling 001; Yang Shen 001 (EURASIP J. Bioinform. Syst. Biol., 2017)

Video restoration based on a novel second order nonlocal total variation model. - Zhenbo Lu; Qing Ling 001; Houqiang Li; Weiping Li (Signal Process., 2017)

An Online Convex Optimization Approach to Proactive Network Resource Allocation. - Tianyi Chen; Qing Ling 001; Georgios B. Giannakis (IEEE Trans. Signal Process., 2017)

Network Newton Distributed Optimization Methods. - Aryan Mokhtari; Qing Ling 001; Alejandro Ribeiro (IEEE Trans. Signal Process., 2017)

COCA: Communication-Censored ADMM for Decentralized Consensus Optimization. - Yaohua Liu; Wei Xu 010; Gang Wu 011; Zhi Tian; Qing Ling 001 (ACSSC, 2018)

Robust Decentralized Dynamic Optimization. - Wei Xu 010; Zhengqing Li; Qing Ling 001 (ICASSP, 2018)

Tensor-Based Light Field Denoising by Integrating Super-Resolution. - Yun Liu; Na Qi; Zhen Cheng 002; Dong Liu 002; Qing Ling 001; Zhiwei Xiong (ICIP, 2018)

Distributed constrained optimisation over cloud-based multi-agent networks. - Wei Xu 010; Qing Ling 001; Yongcheng Li; Manxi Wang (Int. J. Sens. Networks, 2018)

Heterogeneous Online Learning for "Thing-Adaptive" Fog Computing in IoT. - Tianyi Chen; Qing Ling 001; Yanning Shen; Georgios B. Giannakis (IEEE Internet Things J., 2018)

Robust decentralized dynamic optimization at presence of malfunctioning agents. - Wei Xu 010; Zhengqing Li; Qing Ling 001 (Signal Process., 2018)

Learn-and-Adapt Stochastic Dual Gradients for Network Resource Allocation. - Tianyi Chen; Qing Ling 001; Georgios B. Giannakis (IEEE Trans. Control. Netw. Syst., 2018)

Evacuate Before Too Late: Distributed Backup in Inter-DC Networks with Progressive Disasters. - Xiaokang Xie; Qing Ling 001; Ping Lu 001; Wei Xu 010; Zuqing Zhu (IEEE Trans. Parallel Distributed Syst., 2018)

Decentralized Consensus Optimization With Asynchrony and Delays. - Tianyu Wu; Kun Yuan 001; Qing Ling 001; Wotao Yin; Ali H. Sayed (IEEE Trans. Signal Inf. Process. over Networks, 2018)

Decentralized RLS With Data-Adaptive Censoring for Regressions Over Large-Scale Networks. - Zifeng Wang 003; Zheng Yu; Qing Ling 001; Dimitris Berberidis; Georgios B. Giannakis (IEEE Trans. Signal Process., 2018)

RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets. - Liping Li 004; Wei Xu 010; Tianyi Chen; Georgios B. Giannakis; Qing Ling 001 (AAAI, 2019)

On the Comparison between Primal and Primal-dual Methods in Decentralized Dynamic Optimization. - Wei Xu 010; Kun Yuan 001; Wotao Yin; Qing Ling 001 (ACSSC, 2019)

Decentralized Dynamic ADMM with Quantized and Censored Communications. - Yaohua Liu; Kun Yuan 001; Gang Wu 011; Zhi Tian; Qing Ling 001 (ACSSC, 2019)

Byzantine-Robust Stochastic Gradient Descent for Distributed Low-Rank Matrix Completion. - Xuechao He; Qing Ling 001; Tianyi Chen (DSW, 2019)

COLA: Communication-censored Linearized ADMM for Decentralized Consensus Optimization. - Weiyu Li; Yaohua Liu; Zhi Tian; Qing Ling 001 (ICASSP, 2019)

Byzantine-resilient Distributed Large-scale Matrix Completion. - Feng Lin; Qing Ling 001; Zhiwei Xiong (ICASSP, 2019)

DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification. - Xiaofeng Zhang; Zhangyang Wang; Dong Liu 002; Qing Ling 001 (ICASSP, 2019)

Communication-Censored Distributed Stochastic Gradient Descent. - Weiyu Li; Tianyi Chen; Liping Li 004; Qing Ling 001 (CoRR, 2019)

Distributed stochastic gradient descent for link prediction in signed social networks. - Han Zhang; Gang Wu 011; Qing Ling 001 (EURASIP J. Adv. Signal Process., 2019)

An Efficient and Fast Quantum State Estimator With Sparse Disturbance. - Jiaojiao Zhang; Shuang Cong; Qing Ling 001; Kezhi Li (IEEE Trans. Cybern., 2019)

Communication-Censored ADMM for Decentralized Consensus Optimization. - Yaohua Liu; Wei Xu 010; Gang Wu 011; Zhi Tian; Qing Ling 001 (IEEE Trans. Signal Process., 2019)

A Newton Tracking Algorithm with Exact Linear Convergence Rate for Decentralized Consensus Optimization. - Jiaojiao Zhang; Qing Ling 001; Anthony Man-Cho So (CDC, 2020)

Stochastic Admm For Byzantine-Robust Distributed Learning. - Feng Lin; Qing Ling 001; Weiyu Li; Zhiwei Xiong (ICASSP, 2020)

Resilient to Byzantine Attacks Finite-Sum Optimization Over Networks. - Zhaoxian Wu; Qing Ling 001; Tianyi Chen; Georgios B. Giannakis (ICASSP, 2020)

A Penalty Alternating Direction Method of Multipliers for Decentralized Composite Optimization. - Jiaojiao Zhang; Anthony Man-Cho So; Qing Ling 001 (ICASSP, 2020)

Isotropic Reconstruction of 3D EM Images with Unsupervised Degradation Learning. - Shiyu Deng; Xueyang Fu; Zhiwei Xiong; Chang Chen; Dong Liu 002; Xuejin Chen; Qing Ling 001; Feng Wu 001 (MICCAI (5), 2020)

Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data. - Jie Peng; Zhaoxian Wu; Qing Ling 001 (CoRR, 2020)

HierTrain: Fast Hierarchical Edge AI Learning With Hybrid Parallelism in Mobile-Edge-Cloud Computing. - Deyin Liu; Xu Chen 004; Zhi Zhou 006; Qing Ling 001 (IEEE Open J. Commun. Soc., 2020)

Quantum State Filter With Disturbance and Noise. - Jiaojiao Zhang; Shuang Cong; Qing Ling 001; Kezhi Li; Herschel Rabitz (IEEE Trans. Autom. Control., 2020)

Communication-Censored Linearized ADMM for Decentralized Consensus Optimization. - Weiyu Li; Yaohua Liu; Zhi Tian; Qing Ling 001 (IEEE Trans. Signal Inf. Process. over Networks, 2020)

Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks. - Zhaoxian Wu; Qing Ling 001; Tianyi Chen; Georgios B. Giannakis (IEEE Trans. Signal Process., 2020)

Can Primal Methods Outperform Primal-Dual Methods in Decentralized Dynamic Optimization? - Kun Yuan 001; Wei Xu 010; Qing Ling 001 (IEEE Trans. Signal Process., 2020)

Byzantine-Resilient Decentralized TD Learning with Linear Function Approximation. - Zhaoxian Wu; Han Shen; Tianyi Chen; Qing Ling 001 (ICASSP, 2021)

BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning. - Heng Zhu; Qing Ling 001 (CoRR, 2021)

Byzantine-robust decentralized stochastic optimization over static and time-varying networks. - Jie Peng; Weiyu Li; Qing Ling 001 (Signal Process., 2021)

Deep Adversarial Data Augmentation for Extremely Low Data Regimes. - Xiaofeng Zhang; Zhangyang Wang; Dong Liu 002; Qifeng Lin; Qing Ling 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

A Newton Tracking Algorithm With Exact Linear Convergence for Decentralized Consensus Optimization. - Jiaojiao Zhang; Qing Ling 001; Anthony Man-Cho So (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Byzantine-Resilient Decentralized Policy Evaluation With Linear Function Approximation. - Zhaoxian Wu; Han Shen; Tianyi Chen; Qing Ling 001 (IEEE Trans. Signal Process., 2021)

A Penalty Alternating Direction Method of Multipliers for Convex Composite Optimization Over Decentralized Networks. - Jiaojiao Zhang; Huikang Liu; Anthony Man-Cho So; Qing Ling 001 (IEEE Trans. Signal Process., 2021)

Byzantine-Robust and Communication-Efficient Distributed Non-Convex Learning Over Non-IID Data. - Xuechao He; Heng Zhu; Qing Ling 001 (ICASSP, 2022)

Variance Reduction-Boosted Byzantine Robustness in Decentralized Stochastic Optimization. - Jie Peng; Weiyu Li; Qing Ling 001 (ICASSP, 2022)

Byzantine-Resilient Decentralized Resource Allocation. - Runhua Wang; Yaohua Liu; Qing Ling 001 (ICASSP, 2022)

A Byzantine-Resilient Dual Subgradient Method for Vertical Federated Learning. - Kun Yuan 001; Zhaoxian Wu; Qing Ling 001 (ICASSP, 2022)

Byzantine-Robust Aggregation with Gradient Difference Compression and Stochastic Variance Reduction for Federated Learning. - Heng Zhu; Qing Ling 001 (ICASSP, 2022)

Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation. - Heng Zhu; Qing Ling 001 (IJCAI, 2022)

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I. - Jiaojiao Zhang; Huikang Liu; Anthony Man-Cho So; Qing Ling 001 (CoRR, 2022)

Byzantine-robust variance-reduced federated learning over distributed non-i.i.d. data. - Jie Peng; Zhaoxian Wu; Qing Ling 001; Tianyi Chen (Inf. Sci., 2022)

Stochastic alternating direction method of multipliers for Byzantine-robust distributed learning. - Feng Lin; Weiyu Li; Qing Ling 001 (Signal Process., 2022)

Resource Price-Aware Offloading for Edge-Cloud Collaboration: A Two-Timescale Online Control Approach. - Rui Li 062; Zhi Zhou 006; Xu Chen 004; Qing Ling 001 (IEEE Trans. Cloud Comput., 2022)

Communication-Censored Distributed Stochastic Gradient Descent. - Weiyu Li; Zhaoxian Wu; Tianyi Chen; Liping Li 004; Qing Ling 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

DQC-ADMM: Decentralized Dynamic ADMM With Quantized and Censored Communications. - Yaohua Liu; Gang Wu 011; Zhi Tian; Qing Ling 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Byzantine-Resilient Resource Allocation Over Decentralized Networks. - Runhua Wang; Yaohua Liu; Qing Ling 001 (IEEE Trans. Signal Process., 2022)

Distributed Online Learning With Adversarial Participants In An Adversarial Environment. - Xingrong Dong; Zhaoxian Wu; Qing Ling 001; Zhi Tian (ICASSP, 2023)

Byzantine-Robust and Communication-Efficient Personalized Federated Learning. - Xuechao He; Jiaojiao Zhang; Qing Ling 001 (ICASSP, 2023)

Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error. - Jie Peng; Weiyu Li; Qing Ling 001 (CoRR, 2023)

A Communication-Efficient Decentralized Newton's Method With Provably Faster Convergence. - Huikang Liu; Jiaojiao Zhang; Anthony Man-Cho So; Qing Ling 001 (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Byzantine-Robust Distributed Learning With Compression. - Heng Zhu; Qing Ling 001 (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Confederated Learning: Federated Learning With Decentralized Edge Servers. - Bin Wang 055; Jun Fang 001; Hongbin Li 001; Xiaojun Yuan 002; Qing Ling 001 (IEEE Trans. Signal Process., 2023)

Byzantine-Resilient Decentralized Stochastic Optimization With Robust Aggregation Rules. - Zhaoxian Wu; Tianyi Chen; Qing Ling 001 (IEEE Trans. Signal Process., 2023)

Lazy Queries Can Reduce Variance in Zeroth-Order Optimization. - Quan Xiao; Qing Ling 001; Tianyi Chen (IEEE Trans. Signal Process., 2023)

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning. - Jiaojiao Zhang; Huikang Liu; Anthony Man-Cho So; Qing Ling 001 (IEEE Trans. Signal Process., 2023)

Spectral Adversarial Training for Robust Graph Neural Network. - Jintang Li; Jiaying Peng; Liang Chen 001; Zibin Zheng; Tingting Liang; Qing Ling 001 (IEEE Trans. Knowl. Data Eng., 2023)

Quantization Bits Allocation for Wireless Federated Learning. - Muhang Lan; Qing Ling 001; Song Xiao 001; Wenyi Zhang 001 (IEEE Trans. Wirel. Commun., 2023)

C-RSA: Byzantine-robust and communication-efficient distributed learning in the non-convex and non-IID regime. - Xuechao He; Heng Zhu; Qing Ling 001 (Signal Process., 2023)

On the Convergence of Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness. - Yue Huang; Zhaoxian Wu; Qing Ling 001 (ICASSP, 2024)

D3: Dual-Domain Defenses for Byzantine-Resilient Decentralized Resource Allocation. - Runhua Wang; Qing Ling 001; Zhi Tian (ICASSP, 2024)

On the Generalization Error of Byzantine-Resilient Decentralized Learning. - Haoxiang Ye; Qing Ling 001 (ICASSP, 2024)

On the Tradeoff Between Privacy Preservation and Byzantine-Robustness in Decentralized Learning. - Haoxiang Ye; Heng Zhu; Qing Ling 001 (ICASSP, 2024)

Dual-Domain Defenses for Byzantine-Resilient Decentralized Resource Allocation. - Runhua Wang; Qing Ling 001; Zhi Tian (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment. - Xingrong Dong; Zhaoxian Wu; Qing Ling 001; Zhi Tian (IEEE Trans. Signal Process., 2024)

Robust Reward-Free Actor-Critic for Cooperative Multiagent Reinforcement Learning. - Qifeng Lin; Qing Ling 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients. - Yue Huang; Jiaojiao Zhang; Qing Ling 001 (AISTATS, 2025)

Generalization Guarantee of Decentralized Learning with Heterogeneous Data. - Haoxiang Ye; Tao Sun 005; Qing Ling 001 (ICASSP, 2025)

Can Fairness and Robustness Be Simultaneously Achieved Under Byzantine Attacks? - Huigan Zheng; Runhua Wang; Xiao Wang; Qing Ling 001 (ICASSP, 2025)

Byzantine-Resilient Decentralized Online Economic Dispatch for Smart Grids. - Runhua Wang; Qing Ling 001; Hoi-To Wai; Zhi Tian (DSP, 2025)

Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications. - Yue Huang; Zhaoxian Wu; Shiqian Ma; Qing Ling 001 (IEEE Trans. Signal Process., 2025)

Generalization Error Matters in Decentralized Learning Under Byzantine Attacks. - Haoxiang Ye; Qing Ling 001 (IEEE Trans. Signal Process., 2025)

Byzantine-Robust and Communication-Efficient Personalized Federated Learning. - Jiaojiao Zhang; Xuechao He; Yue Huang; Qing Ling 001 (IEEE Trans. Signal Process., 2025)

Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity. - Qiankun Shi; Jie Peng; Kun Yuan 001; Xiao Wang; Qing Ling 001 (CoRR, 2025)