Qing Ling

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 150

Top Venues

CoRR

ICASSP

IEEE Trans. Signal Process.

ACSSC

Publications

Chaoran Yang, Qing Ling, Xueli Sheng, Mengfei Mu, Andreas Jakobsson
Detecting Weak Underwater Targets Using Block Updating of Sparse and Structured Channel Impulse Responses. Remote. Sens. 16 (3) (2024)
Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, Tingting Liang, Qing Ling
Spectral Adversarial Training for Robust Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Haoxiang Ye, Heng Zhu, Qing Ling
On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning. CoRR (2023)
Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning. IEEE Trans. Signal Process. 71 (2023)
Kaiwen Tan, Wenjun Yan, Limin Zhang, Qing Ling, Congan Xu
Semi-Supervised Specific Emitter Identification Based on Bispectrum Feature Extraction CGAN in Multiple Communication Scenarios. IEEE Trans. Aerosp. Electron. Syst. 59 (1) (2023)
Huikang Liu, Jiaojiao Zhang, Anthony Man-Cho So, Qing Ling
A Communication-Efficient Decentralized Newton's Method With Provably Faster Convergence. IEEE Trans. Signal Inf. Process. over Networks 9 (2023)
Heng Zhu, Qing Ling
Byzantine-Robust Distributed Learning With Compression. IEEE Trans. Signal Inf. Process. over Networks 9 (2023)
Chaoran Yang, Qing Ling, Xueli Sheng, Mengfei Mu, Andreas Jakobsson
Sparse and Structured Modelling of Underwater Acoustic Channel Impulse Responses. ICASSP (2023)
Xingrong Dong, Zhaoxian Wu, Qing Ling, Zhi Tian
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment. CoRR (2023)
Zhaoye Zhou, Xiaoqiang Cheng, Donghui Shangguan, Wangping Li, Da Li, Beibei He, Meixia Wang, Qing Ling, Xiuxia Zhang, Xiaoxian Wang, Lu Chen, Yadong Liu, Wei Chen
A Comparative Study of a Typical Glacial Lake in the Himalayas before and after Engineering Management. Remote. Sens. 15 (1) (2023)
Jie Peng, Weiyu Li, Qing Ling
Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error. CoRR (2023)
Xuechao He, Jiaojiao Zhang, Qing Ling
Byzantine-Robust and Communication-Efficient Personalized Federated Learning. ICASSP (2023)
Bin Wang, Jun Fang, Hongbin Li, Xiaojun Yuan, Qing Ling
Confederated Learning: Federated Learning With Decentralized Edge Servers. IEEE Trans. Signal Process. 71 (2023)
Jun Yu, Shenshen Du, Renjie Lu, Pengwei Li, Guochen Xie, Zhongpeng Cai, Keda Lu, Qing Ling, Cong Wang, Luyu Qiu, Wei Zheng
SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement. CoRR (2023)
Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, Tingting Liang, Qing Ling
Spectral Adversarial Training for Robust Graph Neural Network. CoRR (2022)
Feng Lin, Weiyu Li, Qing Ling
Stochastic alternating direction method of multipliers for Byzantine-robust distributed learning. Signal Process. 195 (2022)
Runhua Wang, Yaohua Liu, Qing Ling
Byzantine-Resilient Decentralized Resource Allocation. ICASSP (2022)
Quan Xiao, Qing Ling, Tianyi Chen
Lazy Queries Can Reduce Variance in Zeroth-order Optimization. CoRR (2022)
Rui Li, Zhi Zhou, Xu Chen, Qing Ling
Resource Price-Aware Offloading for Edge-Cloud Collaboration: A Two-Timescale Online Control Approach. IEEE Trans. Cloud Comput. 10 (1) (2022)
Kun Yuan, Zhaoxian Wu, Qing Ling
A Byzantine-Resilient Dual Subgradient Method for Vertical Federated Learning. ICASSP (2022)
Xuechao He, Heng Zhu, Qing Ling
Byzantine-Robust and Communication-Efficient Distributed Non-Convex Learning Over Non-IID Data. ICASSP (2022)
Qing Ling, Qin Zhang, Wei Qu, Jing Zhang
Probabilistic Evaluation of Slope Reliability Considering Groundwater Level Uncertainty Based on Dynamic Agent Model Using Uniform Design. Remote. Sens. 14 (12) (2022)
Yaohua Liu, Gang Wu, Zhi Tian, Qing Ling
DQC-ADMM: Decentralized Dynamic ADMM With Quantized and Censored Communications. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Weiming Fu, Jiahu Qin, Qing Ling, Yu Kang, Baijia Ye
Trust-Region Based Stochastic Variational Inference for Distributed and Asynchronous Networks. J. Syst. Sci. Complex. 35 (6) (2022)
Weiyu Li, Zhaoxian Wu, Tianyi Chen, Liping Li, Qing Ling
Communication-Censored Distributed Stochastic Gradient Descent. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Heng Zhu, Qing Ling
Byzantine-Robust Aggregation with Gradient Difference Compression and Stochastic Variance Reduction for Federated Learning. ICASSP (2022)
Qifeng Lin, Qing Ling
Byzantine-Robust Federated Deep Deterministic Policy Gradient. ICASSP (2022)
Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I. CoRR (2022)
Heng Zhu, Qing Ling
Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation. IJCAI (2022)
Heng Zhu, Qing Ling
Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation. CoRR (2022)
Zhaoxian Wu, Tianyi Chen, Qing Ling
Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules. CoRR (2022)
Bin Wang, Jun Fang, Hongbin Li, Xiaojun Yuan, Qing Ling
Confederated Learning: Federated Learning with Decentralized Edge Servers. CoRR (2022)
Guanyu Hou, Xiuliang Yuan, Shixin Wu, Xiaofei Ma, Zihui Zhang, Xingwen Cao, Conghui Xie, Qing Ling, Weiyi Long, Geping Luo
Phenological Changes and Driving Forces of Lake Ice in Central Asia from 2002 to 2020. Remote. Sens. 14 (19) (2022)
Runhua Wang, Yaohua Liu, Qing Ling
Byzantine-Resilient Resource Allocation Over Decentralized Networks. IEEE Trans. Signal Process. 70 (2022)
Jie Peng, Weiyu Li, Qing Ling
Variance Reduction-Boosted Byzantine Robustness in Decentralized Stochastic Optimization. ICASSP (2022)
Teru Chen, Xingwei Zhao, Qing Ling, Zeyu Gong, Bo Tao, Zhouping Yin
An Automatic Prostate Surgical Region Reconstruction Method Based on Multilevel Learning. IEEE Trans. Instrum. Meas. 71 (2022)
Yu Wang, Jingjing Zou, Jingyang Lin, Qing Ling, Yingwei Pan, Ting Yao, Tao Mei
Out-of-Distribution Detection via Conditional Kernel Independence Model. NeurIPS (2022)
Jie Peng, Zhaoxian Wu, Qing Ling, Tianyi Chen
Byzantine-robust variance-reduced federated learning over distributed non-i.i.d. data. Inf. Sci. 616 (2022)
Heng Zhu, Qing Ling
BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning. CoRR (2021)
Qifeng Lin, Qing Ling
Self-Inference Of Others' Policies For Homogeneous Agents In Cooperative Multi-Agent Reinforcement Learning. ICASSP (2021)
Runhao Lu, Yuning Liang, Qing Ling, Changle Li, Weigang Wu
Double auction and profit maximization mechanism for jobs with heterogeneous durations in cloud federations. J. Cloud Comput. 10 (1) (2021)
Zhaoxian Wu, Han Shen, Tianyi Chen, Qing Ling
Byzantine-Resilient Decentralized TD Learning with Linear Function Approximation. ICASSP (2021)
Jiaojiao Zhang, Qing Ling, Anthony Man-Cho So
A Newton Tracking Algorithm With Exact Linear Convergence for Decentralized Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Feng Lin, Weiyu Li, Qing Ling
Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning. CoRR (2021)
Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qifeng Lin, Qing Ling
Deep Adversarial Data Augmentation for Extremely Low Data Regimes. IEEE Trans. Circuits Syst. Video Technol. 31 (1) (2021)
Limin Zhang, Chong Lin, Wenjun Yan, Qing Ling, Yu Wang
Real-Time OFDM Signal Modulation Classification Based on Deep Learning and Software-Defined Radio. IEEE Commun. Lett. 25 (9) (2021)
Jie Peng, Weiyu Li, Qing Ling
Byzantine-robust decentralized stochastic optimization over static and time-varying networks. Signal Process. 183 (2021)
Zhaoxian Wu, Han Shen, Tianyi Chen, Qing Ling
Byzantine-Resilient Decentralized Policy Evaluation With Linear Function Approximation. IEEE Trans. Signal Process. 69 (2021)
Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling
A Penalty Alternating Direction Method of Multipliers for Convex Composite Optimization Over Decentralized Networks. IEEE Trans. Signal Process. 69 (2021)
Qifeng Lin, Qing Ling
Decentralized TD(0) With Gradient Tracking. IEEE Signal Process. Lett. 28 (2021)
Shuxin Zhong, Xianxin Zeng, Qing Ling, Qiushi Wen, Weiguang Meng, Yerong Feng
Spatiotemporal Convolutional LSTM for Radar Echo Extrapolation. ACSSC (2020)
Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li, Herschel Rabitz
Quantum State Filter With Disturbance and Noise. IEEE Trans. Autom. Control. 65 (7) (2020)
Kun Yuan, Wei Xu, Qing Ling
Can Primal Methods Outperform Primal-Dual Methods in Decentralized Dynamic Optimization? IEEE Trans. Signal Process. 68 (2020)
Kun Li, Chengbo Chen, Xiaojun Quan, Qing Ling, Yan Song
Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation. CoRR (2020)
Jie Peng, Qing Ling
Byzantine-Robust Decentralized Stochastic Optimization. ICASSP (2020)
Jiaojiao Zhang, Qing Ling, Anthony Man-Cho So
A Newton Tracking Algorithm with Exact Linear Convergence Rate for Decentralized Consensus Optimization. CDC (2020)
Deyin Liu, Xu Chen, Zhi Zhou, Qing Ling
HierTrain: Fast Hierarchical Edge AI Learning With Hybrid Parallelism in Mobile-Edge-Cloud Computing. IEEE Open J. Commun. Soc. 1 (2020)
Jie Peng, Qing Ling
Byzantine-Robust Decentralized Stochastic Optimization over Static and Time-Varying Networks. CoRR (2020)
Kun Li, Chengbo Chen, Xiaojun Quan, Qing Ling, Yan Song
Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation. ACL (2020)
Deyin Liu, Xu Chen, Zhi Zhou, Qing Ling
HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing. CoRR (2020)
Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis
Resilient to Byzantine Attacks Finite-Sum Optimization Over Networks. ICASSP (2020)
Feng Lin, Qing Ling, Weiyu Li, Zhiwei Xiong
Stochastic Admm For Byzantine-Robust Distributed Learning. ICASSP (2020)
Jie Peng, Zhaoxian Wu, Qing Ling
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data. CoRR (2020)
Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis
Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks. IEEE Trans. Signal Process. 68 (2020)
Jiaojiao Zhang, Anthony Man-Cho So, Qing Ling
A Penalty Alternating Direction Method of Multipliers for Decentralized Composite Optimization. ICASSP (2020)
Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling
Communication-Censored Linearized ADMM for Decentralized Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Shiyu Deng, Xueyang Fu, Zhiwei Xiong, Chang Chen, Dong Liu, Xuejin Chen, Qing Ling, Feng Wu
Isotropic Reconstruction of 3D EM Images with Unsupervised Degradation Learning. MICCAI (5) (2020)
Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qing Ling
DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification. ICASSP (2019)
Weiyu Li, Tianyi Chen, Liping Li, Qing Ling
Communication-Censored Distributed Stochastic Gradient Descent. CoRR (2019)
Feng Lin, Qing Ling, Zhiwei Xiong
Byzantine-resilient Distributed Large-scale Matrix Completion. ICASSP (2019)
Han Zhang, Gang Wu, Qing Ling
Distributed stochastic gradient descent for link prediction in signed social networks. EURASIP J. Adv. Signal Process. 2019 (2019)
Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets. AAAI (2019)
Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks. CoRR (2019)
Yaohua Liu, Wei Xu, Gang Wu, Zhi Tian, Qing Ling
Communication-Censored ADMM for Decentralized Consensus Optimization. IEEE Trans. Signal Process. 67 (10) (2019)
Wenjun Yan, Qing Ling, Limin Zhang
Convolutional Neural Networks for Space-Time Block Coding Recognition. CoRR (2019)
Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling
COLA: Communication-censored Linearized ADMM for Decentralized Consensus Optimization. ICASSP (2019)
Wenjun Yan, Qing Ling, Limin Zhang
Novel Algorithm for Blind Classification of Space-Time Block Codes in Cognitive Radio. ICSI (2) (2019)
Jingchang Liu, Linli Xu, Shuheng Shen, Qing Ling
An accelerated variance reducing stochastic method with Douglas-Rachford splitting. Mach. Learn. 108 (5) (2019)
Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li
An Efficient and Fast Quantum State Estimator With Sparse Disturbance. IEEE Trans. Cybern. 49 (7) (2019)
Wei Xu, Kun Yuan, Wotao Yin, Qing Ling
On the Comparison between Primal and Primal-dual Methods in Decentralized Dynamic Optimization. ACSSC (2019)
Xuechao He, Qing Ling, Tianyi Chen
Byzantine-Robust Stochastic Gradient Descent for Distributed Low-Rank Matrix Completion. DSW (2019)
Yaohua Liu, Kun Yuan, Gang Wu, Zhi Tian, Qing Ling
Decentralized Dynamic ADMM with Quantized and Censored Communications. ACSSC (2019)
Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets. CoRR (2018)
Yaohua Liu, Wei Xu, Gang Wu, Zhi Tian, Qing Ling
COCA: Communication-Censored ADMM for Decentralized Consensus Optimization. ACSSC (2018)
Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios B. Giannakis
Decentralized RLS With Data-Adaptive Censoring for Regressions Over Large-Scale Networks. IEEE Trans. Signal Process. 66 (6) (2018)
Shuheng Shen, Linli Xu, Jingchang Liu, Junliang Guo, Qing Ling
Asynchronous Stochastic Composition Optimization with Variance Reduction. CoRR (2018)
Wei Xu, Zhengqing Li, Qing Ling
Robust decentralized dynamic optimization at presence of malfunctioning agents. Signal Process. 153 (2018)
Xiaohan Wei, Hao Yu, Qing Ling, Michael J. Neely
Solving Non-smooth Constrained Programs with Lower Complexity than \mathcal{O}(1/\varepsilon): A Primal-Dual Homotopy Smoothing Approach. NeurIPS (2018)
Yun Liu, Na Qi, Zhen Cheng, Dong Liu, Qing Ling, Zhiwei Xiong
Tensor-Based Light Field Denoising by Integrating Super-Resolution. ICIP (2018)
Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali H. Sayed
Decentralized Consensus Optimization With Asynchrony and Delays. IEEE Trans. Signal Inf. Process. over Networks 4 (2) (2018)
Wei Xu, Qing Ling, Yongcheng Li, Manxi Wang
Distributed constrained optimisation over cloud-based multi-agent networks. Int. J. Sens. Networks 28 (1) (2018)
Tianyi Chen, Qing Ling, Georgios B. Giannakis
Learn-and-Adapt Stochastic Dual Gradients for Network Resource Allocation. IEEE Trans. Control. Netw. Syst. 5 (4) (2018)
Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qing Ling
DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification. CoRR (2018)
Xiaohan Wei, Hao Yu, Qing Ling, Michael J. Neely
Solving Non-smooth Constrained Programs with Lower Complexity than 𝒪(1/ε): A Primal-Dual Homotopy Smoothing Approach. CoRR (2018)
Wei Xu, Zhengqing Li, Qing Ling
Robust Decentralized Dynamic Optimization. ICASSP (2018)
Xiaokang Xie, Qing Ling, Ping Lu, Wei Xu, Zuqing Zhu
Evacuate Before Too Late: Distributed Backup in Inter-DC Networks with Progressive Disasters. IEEE Trans. Parallel Distributed Syst. 29 (5) (2018)
Tianyi Chen, Qing Ling, Yanning Shen, Georgios B. Giannakis
Heterogeneous Online Learning for "Thing-Adaptive" Fog Computing in IoT. IEEE Internet Things J. 5 (6) (2018)
Aryan Mokhtari, Qing Ling, Alejandro Ribeiro
Network Newton Distributed Optimization Methods. IEEE Trans. Signal Process. 65 (1) (2017)
Manxi Wang, Yongcheng Li, Xiaohan Wei, Qing Ling
Robust Group LASSO Over Decentralized Networks. CoRR (2017)
Zifeng Wang, Qing Ling, Wotao Yin
Decentralized bundle method for nonsmooth consensus optimization. GlobalSIP (2017)

Qing Ling.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Qing Ling