Qing Ling - Publications

[46] Yaohua Liu, Wei Xu, Gang Wu, Zhi Tian, Qing Ling: Communication-censored ADMM for decentralized consensus optimization. IEEE Transactions on Signal Processing, Accepted

[45] Jingchang Liu, Linli Xu, Shuheng Shen, Qing Ling: An accelerated variance reducing stochastic method with Douglas-Rachford splitting. Machine Learning, Accepted

[44] Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li: An efficient and fast quantum state estimator with sparse disturbance. IEEE Transactions on Cybernetics, Accepted

[43] Han Zhang, Gang Wu, Qing Ling: Distributed stochastic gradient descent for link prediction in signed social networks. EURASIP Journal on Advances in Signal Processing, Article Number 3, 2019 [PDF]

[42] Tianyi Chen, Qing Ling, Yanning Shen, Georgios Giannakis: Heterogeneous online learning for thing-adaptive fog computing in IoT. IEEE Internet of Things Journal, 5(6), 4328-4341, 2018 [PDF]

[41] Tianyi Chen, Qing Ling, Georgios Giannakis: Learn-and-adapt stochastic dual gradients for network resource allocation. IEEE Transactions on Control of Network Systems, 5(4), 1941-1951, 2018 [PDF]

[40] Wei Xu, Qing Ling, Manxi Wang, Yongcheng Li: Distributed constrained optimization over cloud-based multi-agent networks. International Journal of Sensor Networks, 28(1): 43-56, 2018 [PDF]

[39] Xiaohan Wei, Qing Ling, Zhu Han: Robust group lasso: Model and recoverability. Linear Algebra and its Applications, 557: 134-173, 2018 [PDF]

[38] Wei Xu, Zhengqing Li, Qing Ling: Robust decentralized dynamic optimization at presence of malfunctioning agents. Signal Processing, 153: 24-33, 2018 [PDF]

[37] Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali Sayed: Decentralized consensus optimization with asynchrony and delays. IEEE Transactions on Signal and Information Processing over Networks, 4(2): 293-307, 2018 [PDF]

[36] Xiaokang Xie, Qing Ling, Ping Lu, Wei Xu, Zuqing Zhu: Evacuate before too late: Distributed backup in inter-DC networks with progressive disasters. IEEE Transactions on Parallel and Distributed Systems, 29(5): 1058-1074, 2018 [PDF]

[35] Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios Giannakis: Decentralized RLS with data-adaptive censoring for regressions over large-scale networks. IEEE Transactions on Signal Processing, 66(6): 1634-1648, 2018 [PDF]

[34] Tianyi Chen, Qing Ling, Georgios Giannakis: An online convex optimization approach to proactive network resource allocation. IEEE Transactions on Signal Processing, 65(24): 6350-6364, 2017 [PDF]

[33] Houfeng Huang, Qing Ling, Wei Shi, Jinlin Wang: Collaborative resource allocation over a hybrid cloud center and edge server network. Journal of Computational Mathematics, 35(4): 421-436, 2017 [PDF]

[32] Xiaoyun Yuan, Difei Tang, Yebin Liu, Qing Ling, Lu Fang: Magic glasses: From 2D to 3D. IEEE Transactions on Circuits and Systems for Video Technology, 27(4): 843-854, 2017 [PDF]

[31] Shuai Huang, Jiayu Zhou, Zhangyang Wang, Qing Ling, Yang Shen: Editorial: Biomedical informatics with optimization and machine learning. EURASIP Journal on Bioinformatics and Systems Biology, Article Number 4, 2017 [PDF]

[30] Zhenbo Lu, Qing Ling, Houqiang Li, Weiping Li: Video restoration based on a novel second order nonlocal total variation model. Signal Processing, 133: 79-96, 2017 [PDF]

[29] Aryan Mokhtari, Qing Ling, Alejandro Ribeiro: Network Newton distributed optimization methods. IEEE Transactions on Signal Processing, 65(1): 146-161, 2017 [PDF]

[28] Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro: A decentralized second-order method with exact linear convergence rate for consensus optimization. IEEE Transactions on Signal and Information Processing over Networks, 2(4): 507-522, 2016 [PDF]

[27] Kun Yuan, Qing Ling, Wotao Yin: On the convergence of decentralized gradient descent. SIAM Journal on Optimization, 26(3): 1835-1854, 2016 [PDF] [International Consortium of Chinese Mathematicians Distinguished Paper Award, 2017]

[26] Qing Ling, Yaohua Liu, Wei Shi, Zhi Tian: Weighted ADMM for fast decentralized network optimization. IEEE Transactions on Signal Processing, 64(22): 5930-5942, 2016 [PDF]

[25] Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro: DQM: Decentralized quadratically approximated alternating direction method of multipliers. IEEE Transactions on Signal Processing, 64(19): 5158-5173, 2016 [PDF]

[24] Jie Zhu, Meisheng Xue, Yongcheng Li, Qing Ling: Joint event detection and environment perception in decentralized wireless sensor networks. International Journal of Sensor Networks, 21(3): 169-178, 2016 [PDF]

[23] Ping Lu, Qing Ling, Zuqing Zhu: Maximizing utility of time-constrained emergency backup in inter-datacenter networks. IEEE Communications Letters, 20(5): 890-893, 2016 [PDF]

[22] Haofeng Xu, Qing Ling, Alejandro Ribeiro: Online learning over a decentralized network through ADMM. Journal of the Operations Research Society of China, 3(4): 537-562, 2015 [PDF]

[21] Wei Shi, Qing Ling, Gang Wu, Wotao Yin: A proximal gradient algorithm for decentralized composite optimization. IEEE Transactions on Signal Processing, 63(22): 6013-6023, 2015 [PDF]

[20] Qing Ling, Wei Shi, Gang Wu, Alejandro Ribeiro: DLM: Decentralized linearized alternating direction method of multipliers. IEEE Transactions on Signal Processing, 63(15): 4051-4064, 2015 [PDF]

[19] Kun Yuan, Qing Ling, Zhi Tian: Communication-efficient decentralized event monitoring in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 26(8): 2198-2207, 2015 [PDF] [Supplemental Material]

[18] Wei Shi, Qing Ling, Gang Wu, Wotao Yin: EXTRA: An exact first-order algorithm for decentralized consensus optimization. SIAM Journal on Optimization, 25(2): 944-966, 2015 [PDF] [International Consortium of Chinese Mathematicians Distinguished Paper Award, 2018]

[17] Anya Lin, Qing Ling: Decentralized and privacy-preserving low-rank matrix completion. Journal of the Operations Research Society of China, 3(2): 189-205, 2015 [PDF]

[16] Kun Yuan, Qing Ling, Zhi Tian: A decentralized linear programming approach to energy-efficient event detection. International Journal of Sensor Networks, 17(1): 52-62, 2015 [PDF]

[15] Wei Shi, Qing Ling, Kun Yuan, Gang Wu, Wotao Yin: On the linear convergence of the ADMM in decentralized consensus optimization. IEEE Transactions on Signal Processing, 62(7): 1750-1761, 2014 [PDF] [IEEE Signal Processing Society Young Author Best Paper Award, 2017]

[14] Qing Ling, Alejandro Ribeiro: Decentralized dynamic optimization through the alternating direction method of multipliers. IEEE Transactions on Signal Processing, 62(5): 1185-1197, 2014 [PDF] [International Consortium of Chinese Mathematicians Distinguished Paper Award, 2018]

[13] Houqiang Li, Zhenbo Lu, Zhangyang Wang, Qing Ling, Weiping Li: Detection of blotch and scratch in video based on video decomposition. IEEE Transactions on Circuits and Systems for Video Technology, 23(11): 1887-1900, 2013 [PDF]

[12] Zhangyang Wang, Houqiang Li, Qing Ling, Weiping Li: Robust temporal-spatial decomposition and its applications in video processing. IEEE Transactions on Circuits and Systems for Video Technology, 23(3): 387-400, 2013 [PDF]

[11] Qing Ling, Zaiwen Wen, Wotao Yin: Decentralized jointly sparse optimization by reweighted lq minimization. IEEE Transactions on Signal Processing, 61(5): 1165-1170, 2013 [PDF]

[10] Qing Ling, Min Tao, Wotao Yin, Xiaoming Yuan: A multi-block alternating direction method with parallel splitting for decentralized consensus optimization. EURASIP Journal on Wireless Communications and Networking, Article Number 338, 2012 [PDF]

[9] Xiaohan Wei, Yabo Yuan, Qing Ling: DOA estimation using a greedy block coordinate descent algorithm. IEEE Transactions on Signal Processing, 60(12): 6382-6394, 2012 [PDF]

[8] Yinfei Fu, Qing Ling, Zhi Tian: Distributed sensor allocation for multi-target tracking in sensor networks. IEEE Transactions on Aerospace and Electronic Systems, 48(4): 3538-3553, 2012 [PDF]

[7] Qing Ling, Yinfei Fu, Zhi Tian: Localized sensor management for multi-target tracking in wireless sensor networks. Information Fusion, 12(3): 194-201, 2011 [PDF]

[6] Qing Ling, Zhi Tian: Decentralized sparse signal recovery for compressive sleeping wireless sensor networks. IEEE Transactions on Signal Processing, 58(7): 3816-3827, 2010 [PDF]

[5] Qing Ling, Zhi Tian, Yuejun Yin, Yue Li: Localized structural health monitoring using energy-efficient wireless sensor networks. IEEE Sensors Journal, 9(11): 1596-1604, 2009 [PDF]

[4] Qing Ling, Zhi Tian, Yue Li: Distributed decision-making in wireless sensor networks for online structural health monitoring. Journal of Communications and Networks, 11(4): 350-358, 2009 [PDF]

[3] Qing Ling, Gang Wu, Zaiyue Yang, Qiuping Wang: Crowding clustering genetic algorithm for multimodal function optimization. Applied Soft Computing, 8(1): 88-95, 2008 [PDF]

[2] Wei Xiang, Gang Wu, Qing Ling, Lei Wang: Piecewise patching for time-shifted TV over HFC networks. IEEE Transactions on Consumer Electronics, 53(3): 891-897, 2007 [PDF]

[1] Qing Ling, Gang Wu, Bin Liu, Qiuping Wang: Varied line spacing plane holographic gratings recorded using uniform line spacing plane gratings. Applied Optics, 45(21): 5059-5065, 2006 [PDF]

[61] Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling: COLA: Communication-censored linearized ADMM for decentralized consensus optimization. ICASSP, Brighton, UK, May 12-17, 2019

[60] Feng Lin, Qing Ling, Zhiwei Xiong: Byzantine-resilient distributed large-scale matrix completion. ICASSP, Brighton, UK, May 12-17, 2019

[59] Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qing Ling: DADA: Deep adversarial data augmentation for extremely low data regime classification. ICASSP, Brighton, UK, May 12-17, 2019

[58] Liping Li, Wei Xu, Tianyi Chen, Georgios Giannakis, Qing Ling: RSA: Byzantine-robust stochastic aggregation methods for distributed learning from heterogeneous datasets. AAAI, Honolulu, USA, January 27-February 1, 2019

[57] Xiaohan Wei, Hao Yu, Qing Ling, Michael Neely: Solving non-smooth constrained programs with lower complexity than O(1/e): A primal-dual homotopy smoothing approach. NIPS, Montreal, Canada, December 3-8, 2018

[56] Yaohua Liu, Wei Xu, Gang Wu, Zhi Tian, Qing Ling: COCA: Communication-censored ADMM for decentralized consensus optimization. ASILOMAR, Pacific Grove, USA, October 28-31, 2018

[55] Yun Liu, Na Qi, Zhen Cheng, Dong Liu, Qing Ling, Zhiwei Xiong: Tensor-based light field by integrating super-resolution. ICIP, Athens, Greece, October 7-10, 2018

[54] Xinwei Zhang, Yuansen Du, Fang Chen, Linlin Qin, Qing Ling: Indoor position control of a quadrotor UAV with monocular vision feedback. CCC, Wuhan, China, July 25-27, 2018

[53] Yuansen Du, Xinwei Zhang, Linlin Qin, Qing Ling, Gang Wu: State estimation for autonomous rotorcraft MAVs under indoor environments, CCDC, Shenyang, China, June 9-11, 2018

[52] Wei Xu, Zhengqing Li, Qing Ling: Robust decentralized dynamic optimization. ICASSP, Calgary, Canada, April 15-20, 2018

[51] Yaohua Liu, Cameron Nowzari, Zhi Tian, Qing Ling: Asynchronous periodic event-triggered coordination of multi-agent systems. CDC, Melbourne, Australia, December 12-15, 2017 [Student Travel Grant]

[50] Zifeng Wang, Qing Ling, Wotao Yin: Decentralized bundle method for nonsmooth consensus optimization. GLOBALSIP, Montreal, Canada, November 14-16, 2017

[49] Tianyi Chen, Yanning Shen, Qing Ling, Georgios Giannakis: Online learning for thing-adaptive fog computing in IoT. ASILOMAR, Pacific Grove, USA, October 29-November 1, 2017 [Best Student Paper Finalist]

[48] Tianyi Chen, Qing Ling, Georgios Giannakis: Online convex optimization for dynamic network resource allocation. EUSIPCO, Kos Island, Greece, August 28-September 2, 2017

[47] Tianyi Chen, Qing Ling, Georgios Giannakis: Learn-and-adapt network resource allocation. SPAWC, Sapporo, Japan, July 3-6, 2017

[46] Xiaokang Xie, Qing Ling, Ping Lu, Zuqing Zhu: ADMM-based distributed algorithm for emergency backup in time-variant inter-DC networks. ICC, Paris, France, May 21-25, 2017 [Student Travel Grant]

[45] Zifeng Wang, Zheng Yu, Qing Ling, Dimitris Berberidis, Georgios Giannakis: Distributed recursive least-squares with data-adaptive censoring. ICASSP, New Orleans, USA, March 5-9, 2017 [Student Travel Grant]

[44] Yujiao Cheng, Houfeng Huang, Gang Wu, Qing Ling: Distributed network resource allocation with integer constraints. GLOBALSIP, Washington DC, USA, December 7-9, 2016

[43] Manxi Wang, Yongcheng Li, Xiaohan Wei, Qing Ling: Robust group LASSO over decentralized networks. GLOBALSIP, Washington DC, USA, December 7-9, 2016

[42] Han Zhang, Wei Shi, Aryan Mokhtari, Alejandro Ribeiro, Qing Ling: Decentralized constrained consensus optimization with primal dual splitting projection. GLOBALSIP, Washington DC, USA, December 7-9, 2016

[41] Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro: A decentralized second-order method for dynamic optimization. CDC, Las Vegas, USA, December 12-14, 2016

[40] Tianyu Wu, Kun Yuan, Qing Ling, Wotao Yin, Ali Sayed: Decentralized consensus optimization with asynchrony and delay. ASILOMAR, Pacific Grove, USA, November 6-9, 2016

[39] Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro: ESOM: Exact second-order method for consensus optimization. ASILOMAR, Pacific Grove, USA, November 6-9, 2016 [Invited Paper]

[38] Wei Xu, Qing Ling, Manxi Wang, Yongcheng Li: Distributed constrained optimization over cloud-based multi-agent networks. WASA, Bozeman, USA, August 8-10, 2016

[37] Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas Huang: Learning a deep linfty encoder for hashing. IJCAI, New York, USA, July 9-15, 2016

[36] Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas Huang: D3: Deep dual-domain based fast restoration of JPEG-compressed images. CVPR, Las Vegas, USA, June 26-July 1, 2016

[35] Qing Ling, Yaohua Liu, Wei Shi, Zhi Tian: Communication-efficient weighted ADMM for decentralized network optimization. ICASSP, Shanghai, China, March 20-25, 2016

[34] Zhangyang Wang, Qing Ling, Thomas Huang: Learning deep l0 encoders. AAAI, Phoenix, USA, February 12-17, 2016

[33] Aryan Mokhtari, Wei Shi, Qing Ling, Alejandro Ribeiro: Decentralized quadratically approximated alternating direction method of multipliers. GLOBALSIP, Orlando, USA, December 14-16, 2015 [Student Travel Grant]

[32] Yuxi Han, Sihai Zhang, Wuyang Zhou, Qing Ling: Enabling SCMA long codewords with a parallel SCMA coding scheme. WCSP, Nanjing, China, October 15-17, 2015

[31] Yu Wang, David Wipf, Qing Ling, Wei Chen, Ian Wassell: Multi-task learning for subspace segmentation. ICML, Lille, France, July 6-11, 2015

[30] Wei Shi, Qing Ling, Gang Wu, Wotao Yin: A proximal gradient algorithm for decentralized nondifferentiable optimization. ICASSP, Brisbane, Australia, April 19-24, 2015

[29] Aryan Mokhtari, Qing Ling, Alejandro Ribeiro: An approximate Newton method for distributed optimization. ICASSP, Brisbane, Australia, April 19-24, 2015

[28] David Wipf, Jeongmin Yun, Qing Ling: Augmented Bayesian compressive sensing. DCC, Snowbird, USA, April 7-9, 2015

[27] Aryan Mokhtari, Qing Ling, Alejandro Ribeiro: Network Newton. ASILOMAR, Pacific Grove, USA, November 8-11, 2014

[26] Qing Ling, Alejandro Ribeiro: Decentralized linearized alternating direction method of multipliers. ICASSP, Florence, Italy, May 4-9, 2014

[25] Kun Yuan, Qing Ling, Wotao Yin, Alejandro Ribeiro: A linearized Bregman method for decentralized basis pursuit. EUSIPCO, Marrakech, Morocco, September 9-13, 2013 [Invited Paper]

[24] Jie Zhu, Yongcheng Li, Meisheng Xue, Qing Ling: A lightweight decentralized algorithm for jointly sparse optimization. CCC, Xi'an, China, July 26-28, 2013

[23] Qing Ling, Alejandro Ribeiro: Decentralized dynamic optimization through the alternating direction method of multipliers. SPAWC, Darmstadt, Germany, June 16-19, 2013

[22] Liang Li, Yongcheng Li, Qing Ling: Fast algorithms to solve the Dantzig selector. ICCA, Hangzhou, China, June 12-14, 2013

[21] Wei Shi, Qing Ling, Kun Yuan, Gang Wu, Wotao Yin: Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers. ICASSP, Vancouver, Canada, May 26-31, 2013 [Student Travel Grant]

[20] Ahmed Nasif, Zhi Tian, Qing Ling: High-dimensional sparse covariance estimation for random signals. ICASSP, Vancouver, Canada, May 26-31, 2013

[19] Jun Luo, Chun Shi, Wei Shi, Qing Ling: Joint node localization and error correction in wireless sensor networks. CCC, Hefei, China, July 25-27, 2012

[18] Zhefei Yu, Zhangyang Wang, Zeng Hu, Qing Ling, Houqiang Li: Video frame interpolation using 3-D total variation regularized completion. ICIP, Orlando, USA, September 30-October 3, 2012

[17] Zhefei Yu, Zhangyang Wang, Zeng Hu, Houqiang Li, Qing Ling: Video error concealment via total variation regularized matrix completion. ICIP, Orlando, USA, September 30-October 3, 2012

[16] Qing Ling, Wei Shi, Gang Wu, Zhi Tian: Sparse FIR estimation of low-order systems. SSP, Ann Arbor, USA, August 5-8, 2012

[15] Zhangyang Wang, Houqiang Li, Qing Ling, Weiping Li: Mixed Gaussian-impulse video noise removal via temporal-spatial decomposition. ISCAS, Seoul, Korea, May 20-23, 2012

[14] Qing Ling, Yangyang Xu, Wotao Yin, Zaiwen Wen: Decentralized low-rank matrix completion. ICASSP, Kyoto, Japan, March 25-30, 2012

[13] Qing Ling, Chun Shi, Anhong He: A lightweight alternating direction method of multipliers for decentralized event detection. CCC, Yantai, China, July 22-24, 2011

[12] Wei Shi, Qing Ling, Gang Wu: Sparsity-enhanced linear time-invariant MIMO system identification. CCDC, Mianyang, China, May 23-25, 2011

[11] Qing Ling, Zhi Tian: Decentralized support detection of multiple measurement vectors with joint sparsity. ICASSP, Prague, Czech, May 22-27, 2011

[10] Qing Ling, Gang Wu, Zhi Tian: Denoising and error correction in wireless sensor networks. FUSION, Edinburgh, UK, July 26-29, 2010

[9] Qing Ling, Gang Wu, Chengyu Jiang, Zhi Tian: Joint multi-source localization and environment perception in wireless sensor networks. CCDC, Xuzhou, China, May 26-28, 2010

[8] Qing Ling, Fanzi Zeng, Zhi Tian: Energy-efficient decentralized event detection in large-scale wireless sensor networks. ICASSP, Dallas, USA, March 14-19, 2010

[7] Qing Ling, Zhi Tian: Collaborative sparse signal recovery in hierarchical wireless sensor networks. CAMSAP, Aruba, Dutch Antilles, December 13-16, 2009

[6] Qing Ling, Zhi Tian: A decentralized Gauss-Seidel approach to in-network sparse signal recovery. FUSION, Seattle, USA, July 6-9, 2009

[5] Qing Ling, Zhi Tian: Minimum node degree and k-connectivity of a wireless multihop network in a bounded area. GLOBECOM, Washington DC, USA, November 26-30, 2007

[4] Qing Ling, Zhi Tian: Impact of mobility on topology control of wireless sensor networks. WICOM, Shanghai, China, September 21-25, 2007

[3] Tao Zheng, Gang Wu, Qing Ling, Wei Chen, Defeng He: Fast modular multivariable nonlinear model predictive control. CCC, Zhangjiajie, China, July 26-31, 2007

[2] Zaiyue Yang, Zhiwei Chan, Qing Ling, Hingtung Mok: Estimation of frequencies in the input and output of nonlinear systems. CCC, Harbin, China, August 7-11, 2006

[1] Qing Ling, Gang Wu, Qiuping Wang: Restricted evolution based multimodal function optimization in holographic grating design. CEC, Edinburg, UK, September 2-5, 2005

[6] Georgios Giannakis, Qing Ling, Gonzalo Mateos, Ioannis Schizas, Hao Zhu: Decentralized learning for wireless communications and networking. Roland Glowinski, Stanley Osher, Wotao Yin (ed.), Splitting Methods in Communication and Imaging, Science and Engineering, Springer, 2016

[5] Qing Ling, Gang Wu, Zhi Tian: Collaborative environmental monitoring with hierarchical wireless sensor networks. Ema Ekundayo (ed.), Environmental Monitoring, InTech, 2011

[4] Tao Zheng, Gang Wu, Guanghong Liu, Qing Ling: Multi-objective nonlinear model predictive control: Lexicographic method. Tao Zheng (ed.), Model Predictive Control, InTech, 2010

[3] Qing Ling, Gang Wu, Qiuping Wang: Multimodal function optimization in varied-line-spacing holographic grating design. Philip Hingston, Luigi Barone, Zbigniew Michalewicz (ed.), Advances in Evolutionary Design, Springer, 2008

[2] Jingyu Yan, Qing Ling, Wei Chen: Nonlinear model predictive control based on evolutionary algorithms: Framework, theory, and application. Alessia Giordano, Ginevra Costa (ed.), Soft Computing: New Research, Nova Publishers, 2008

[1] Qing Ling, Gang Wu, Qiuping Wang: Deterministic robust optimal design based on standard crowding genetic algorithm. Yaochu Jin, Yewsoon Ong, Shengxiang Yang (ed.), Evolutionary Computation in Dynamic and Uncertain Environments, Springer, 2007