| 2025 | AISTATS | Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients. | Yue Huang, Jiaojiao Zhang, Qing Ling |
| 2025 | ICASSP | Generalization Guarantee of Decentralized Learning with Heterogeneous Data. | Haoxiang Ye, Tao Sun, Qing Ling |
| 2025 | ICASSP | Can Fairness and Robustness Be Simultaneously Achieved Under Byzantine Attacks? | Huigan Zheng, Runhua Wang, Xiao Wang, Qing Ling |
| 2025 | IJCAI | Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction. | Jiaqi Zheng, Qing Ling, Yerong Feng |
| 2025 | IJCNN | Byzantine-Resilient Decentralized Parallel Policy Gradient. | Qifeng Lin, Yue Huang, Qing Ling |
| 2025 | IJCNN | Federated Unlearning with Oriented Saliency Compression. | Boxu Xiao, Sijia Liu, Qing Ling |
| 2024 | ACL | VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE. | Zhenyi Wang, Haiyan Ning, Qing Ling, Dan Wang |
| 2024 | ICASSP | On the Convergence of Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness. | Yue Huang, Zhaoxian Wu, Qing Ling |
| 2024 | ICASSP | D3: Dual-Domain Defenses for Byzantine-Resilient Decentralized Resource Allocation. | Runhua Wang, Qing Ling, Zhi Tian |
| 2024 | ICASSP | On the Generalization Error of Byzantine-Resilient Decentralized Learning. | Haoxiang Ye, Qing Ling |
| 2024 | ICASSP | On the Tradeoff Between Privacy Preservation and Byzantine-Robustness in Decentralized Learning. | Haoxiang Ye, Heng Zhu, Qing Ling |
| 2024 | IJCAI | Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks. | Jie Peng, Weiyu Li, Qing Ling |
| 2024 | IGARSS | A Novel Imaging Algorithm for a FMCW Mosaic Mode SAR Based on Modified PFA. | Qing Ling, Jingtao Ma, Penghui Huang, Ying Zou, Anjie Cao, Yan Jiang, Zhicheng Wang, Yanyang Liu, Muyang Zhan |
| 2023 | ICASSP | Distributed Online Learning With Adversarial Participants In An Adversarial Environment. | Xingrong Dong, Zhaoxian Wu, Qing Ling, Zhi Tian |
| 2023 | ICASSP | Byzantine-Robust and Communication-Efficient Personalized Federated Learning. | Xuechao He, Jiaojiao Zhang, Qing Ling |
| 2023 | ICASSP | Sparse and Structured Modelling of Underwater Acoustic Channel Impulse Responses. | Chaoran Yang, Qing Ling, Xueli Sheng, Mengfei Mu, Andreas Jakobsson |
| 2022 | ICASSP | Byzantine-Robust and Communication-Efficient Distributed Non-Convex Learning Over Non-IID Data. | Xuechao He, Heng Zhu, Qing Ling |
| 2022 | ICASSP | Byzantine-Robust Federated Deep Deterministic Policy Gradient. | Qifeng Lin, Qing Ling |
| 2022 | ICASSP | Variance Reduction-Boosted Byzantine Robustness in Decentralized Stochastic Optimization. | Jie Peng, Weiyu Li, Qing Ling |
| 2022 | ICASSP | Byzantine-Resilient Decentralized Resource Allocation. | Runhua Wang, Yaohua Liu, Qing Ling |
| 2022 | ICASSP | A Byzantine-Resilient Dual Subgradient Method for Vertical Federated Learning. | Kun Yuan, Zhaoxian Wu, Qing Ling |
| 2022 | ICASSP | Byzantine-Robust Aggregation with Gradient Difference Compression and Stochastic Variance Reduction for Federated Learning. | Heng Zhu, Qing Ling |
| 2022 | IJCAI | Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation. | Heng Zhu, Qing Ling |
| 2021 | ICASSP | Self-Inference Of Others' Policies For Homogeneous Agents In Cooperative Multi-Agent Reinforcement Learning. | Qifeng Lin, Qing Ling |
| 2021 | ICASSP | Byzantine-Resilient Decentralized TD Learning with Linear Function Approximation. | Zhaoxian Wu, Han Shen, Tianyi Chen, Qing Ling |
| 2020 | ACL | Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation. | Kun Li, Chengbo Chen, Xiaojun Quan, Qing Ling, Yan Song |
| 2020 | ACSSC | Spatiotemporal Convolutional LSTM for Radar Echo Extrapolation. | Shuxin Zhong, Xianxin Zeng, Qing Ling, Qiushi Wen, Weiguang Meng, Yerong Feng |
| 2020 | ICASSP | Stochastic Admm For Byzantine-Robust Distributed Learning. | Feng Lin, Qing Ling, Weiyu Li, Zhiwei Xiong |
| 2020 | ICASSP | Byzantine-Robust Decentralized Stochastic Optimization. | Jie Peng, Qing Ling |
| 2020 | ICASSP | Resilient to Byzantine Attacks Finite-Sum Optimization Over Networks. | Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis |
| 2020 | ICASSP | A Penalty Alternating Direction Method of Multipliers for Decentralized Composite Optimization. | Jiaojiao Zhang, Anthony Man-Cho So, Qing Ling |
| 2020 | MICCAI | Isotropic Reconstruction of 3D EM Images with Unsupervised Degradation Learning. | Shiyu Deng, Xueyang Fu, Zhiwei Xiong, Chang Chen, Dong Liu, Xuejin Chen, Qing Ling, Feng Wu |
| 2019 | AAAI | RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets. | Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling |
| 2019 | ACSSC | On the Comparison between Primal and Primal-dual Methods in Decentralized Dynamic Optimization. | Wei Xu, Kun Yuan, Wotao Yin, Qing Ling |
| 2019 | ACSSC | Decentralized Dynamic ADMM with Quantized and Censored Communications. | Yaohua Liu, Kun Yuan, Gang Wu, Zhi Tian, Qing Ling |
| 2019 | ICASSP | COLA: Communication-censored Linearized ADMM for Decentralized Consensus Optimization. | Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling |
| 2019 | ICASSP | Byzantine-resilient Distributed Large-scale Matrix Completion. | Feng Lin, Qing Ling, Zhiwei Xiong |
| 2019 | ICASSP | DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification. | Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qing Ling |
| 2018 | ACSSC | COCA: Communication-Censored ADMM for Decentralized Consensus Optimization. | Yaohua Liu, Wei Xu, Gang Wu, Zhi Tian, Qing Ling |
| 2018 | ICASSP | Robust Decentralized Dynamic Optimization. | Wei Xu, Zhengqing Li, Qing Ling |
| 2018 | ICIP | Tensor-Based Light Field Denoising by Integrating Super-Resolution. | Yun Liu, Na Qi, Zhen Cheng, Dong Liu, Qing Ling, Zhiwei Xiong |
| 2017 | ACSSC | Online learning for "thing-adaptive" Fog Computing in IoT. | Tianyi Chen, Yanning Shen, Qing Ling, Georgios B. Giannakis |
| 2017 | ICASSP | Distributed recursive least-squares with data-adaptive censoring. | Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios B. Giannakis |
| 2017 | IWCMC | Frugal calibration of mutual coupling in large scale antenna array. | Xin Xie, Yuxuan Xu, Hanyu Zhu, Qing Ling, Xiong Wang, Xiliang Luo |
| 2016 | AAAI | Learning Deep ℓ | Zhangyang Wang, Qing Ling, Thomas S. Huang |
| 2016 | ACSSC | ESOM: Exact second-order method for consensus optimization. | Aryan Mokhtari, Wei Shi, Qing Ling |
| 2016 | ACSSC | Decentralized consensus optimization with asynchrony and delays. | Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali H. Sayed |
| 2016 | CVPR | D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. | Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang |
| 2016 | ICASSP | Communication-efficient weighted ADMM for decentralized network optimization. | Qing Ling, Yaohua Liu, Wei Shi, Zhi Tian |
| 2016 | IJCAI | Learning A Deep ℓ | Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang |
| 2015 | DCC | Augmented Bayesian Compressive Sensing. | David P. Wipf, Jeong-Min Yun, Qing Ling |
| 2015 | ICASSP | An approximate Newton method for distributed optimization. | Aryan Mokhtari, Qing Ling, Alejandro Ribeiro |
| 2015 | ICASSP | A proximal gradient algorithm for decentralized nondifferentiable optimization. | Wei Shi, Qing Ling, Gang Wu, Wotao Yin |
| 2015 | ICML | Multi-Task Learning for Subspace Segmentation. | Yu Wang, David P. Wipf, Qing Ling, Wei Chen, Ian J. Wassell |
| 2014 | ACSSC | Network Newton. | Aryan Mokhtari, Qing Ling, Alejandro Ribeiro |
| 2014 | ICASSP | Decentralized linearized alternating direction method of multipliers. | Qing Ling, Alejandro Ribeiro |
| 2013 | ICASSP | High-dimensional sparse covariance estimation for random signals. | Ahmed O. Nasif, Zhi Tian, Qing Ling |
| 2013 | ICASSP | Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers. | Wei Shi, Qing Ling, Kun Yuan, Gang Wu, Wotao Yin |
| 2012 | ICASSP | Decentralized low-rank matrix completion. | Qing Ling, Yangyang Xu, Wotao Yin, Zaiwen Wen |
| 2012 | ICIP | Video frame interpolation using 3-D total variation regularized completion. | Zhefei Yu, Zhangyang Wang, Zeng Hu, Qing Ling, Houqiang Li |
| 2012 | ICIP | Video error concealment via total variation regularized matrix completion. | Zhefei Yu, Zhangyang Wang, Zeng Hu, Houqiang Li, Qing Ling |
| 2012 | ISCAS | Mixed Gaussian-impulse video noise removal via temporal-spatial decomposition. | Zhangyang Wang, Houqiang Li, Qing Ling, Weiping Li |
| 2011 | ICASSP | Decentralized support detection of multiple measurement vectors with joint sparsity. | Qing Ling, Zhi Tian |
| 2011 | ICNC | Integrating preference based weighted sum into evolutionary multi-objective optimization. | Guanghong Liu, Gang Wu, Tao Zheng, Qing Ling |
| 2010 | FUSION | Denoising and error correction in wireless sensor networks. | Qing Ling, Gang Wu, Zhi Tian |
| 2010 | ICASSP | Energy-efficient decentralized event detection in large-scale wireless sensor networks. | Qing Ling, Fanzi Zeng, Zhi Tian |
| 2009 | FUSION | A decentralized Gauss-Seidel approach for in-network sparse signal recovery. | Qing Ling, Zhi Tian |
| 2007 | GLOBECOM | Minimum Node Degree and k-Connectivity of a Wireless Multihop Network in Bounded Area. | Qing Ling, Zhi Tian |
| 2005 | CEC | Restricted evolution based multimodal function optimization in holographic grating design. | Qing Ling, Gang Wu, Qiuping Wang |