凌青

教师简介: 

2001年与2006年于中国科学技术大学自动化系分别获得学士与博士学位，2006年至2009年担任密歇根理工大学电子工程与计算机科学系博士后研究员。2009年至2017年任教于中国科学技术大学自动化系，其间曾担任宾夕法尼亚大学电子与系统工程系访问学者、微软亚洲研究院铸星计划访问学者。2017年起担任jbo竞博电竞官方网站教授、博士生导师。研究工作获得IEEE信号处理协会青年作者最佳论文奖（2次）、广东省科技进步奖二等奖等，指导研究生入选中国电子学会优秀硕士论文激励计划。曾担任IEEE Signal Processing Letters期刊编辑与资深编辑、IEEE Transactions on Network and Service Management期刊编辑、IEEE SPAWC 2023会议TPC Chair，现担任IEEE Transactions on Signal Processing期刊编辑。

研究领域: 

分布式优化、机器学习、大数据处理

教育背景: 

2001.9-2006.7：中国科学技术大学、博士
1997.9-2001.7：中国科学技术大学、本科

工作经历: 

2017.12-至今：jbo竞博电竞官方网站、教授
2014.9-2015.2：微软亚洲研究院、铸星计划访问学者
2012.8-2014.2：宾夕法尼亚大学、访问学者
2009.9-2017.11：中国科学技术大学、副教授
2008.9-2009.1：明尼苏达大学、访问学者
2006.9-2009.8：密歇根理工大学、博士后研究员

获奖及荣誉: 

2025.4：IEEE信号处理协会青年作者最佳论文奖（通讯作者）
2024.1：中国电子学会优秀硕士论文激励计划（指导教师）
2023.5：广东省科技进步奖二等奖
2018.4：IEEE信号处理协会青年作者最佳论文奖（通讯作者）
2017.12：世界华人数学家联盟杰出论文奖（通讯作者） 
2017.10：Asilomar信号、系统与计算机会议最佳学生论文提名奖（合作作者） 
2017.9：王宽诚育才奖 
2006.7：中国科学院院长奖

代表性论著: 

[TSP] Haoxiang Ye, Qing Ling: Generalization error matters in decentralized learning under Byzantine attacks. IEEE Transactions on Signal Processing, 73: 843-857, 2025
[TSP] Jiaojiao Zhang, Xuechao He, Yue Huang, Qing Ling: Byzantine-robust and communication-efficient personalized federated learning. IEEE Transactions on Signal Processing, 73: 26-39, 2025
[TSP] Xingrong Dong, Zhaoxian Wu, Qing Ling, Zhi Tian: Byzantine-robust distributed online learning: Taming adversarial participants in an adversarial environment. IEEE Transactions on Signal Processing, 72: 235-248, 2024
[TSP] Quan Xiao, Qing Ling, Tianyi Chen: Lazy queries can reduce variance in zeroth-order optimization. IEEE Transactions on Signal Processing, 71: 3695-3709, 2023
[TSP] Zhaoxian Wu, Tianyi Chen, Qing Ling: Byzantine-resilient decentralized stochastic optimization with robust aggregation rules. IEEE Transactions on Signal Processing, 71: 3179-3195, 2023
[TSP] Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling: Variance-reduced stochastic quasi-Newton methods for decentralized learning. IEEE Transactions on Signal Processing, 71: 311-326, 2023
[TSP] Bin Wang, Jun Fang, Hongbin Li, Xiaojun Yuan, Qing Ling: Confederated learning: Federated learning with decentralized edge servers. IEEE Transactions on Signal Processing, 71: 248-263, 2023
[TSP] Runhua Wang, Yaohua Liu, Qing Ling: Byzantine-resilient resource allocation over decentralized networks. IEEE Transactions on Signal Processing, 70:4711-4726, 2022
[TSP] 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 Transactions on Signal Processing, 69: 4282-4295, 2021
[TSP] Zhaoxian Wu, Han Shen, Tianyi Chen, Qing Ling: Byzantine-resilient decentralized policy evaluation with linear function approximation. IEEE Transactions on Signal Processing, 69: 3839-3853, 2021
[TSP] Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios Giannakis: Federated variance-reduced stochastic gradient descent with robustness to Byzantine attacks. IEEE Transactions on Signal Processing, 68: 4583-4596, 2020 [IEEE信号处理协会青年作者最佳论文奖]
[TSP] Kun Yuan, Wei Xu, Qing Ling: Can primal methods outperform primal-dual methods in decentralized dynamic optimization? IEEE Transactions on Signal Processing, 68: 4466-4480, 2020
[TSP] Yaohua Liu, Wei Xu, Gang Wu, Zhi Tian, Qing Ling: Communication-censored ADMM for decentralized consensus optimization. IEEE Transactions on Signal Processing, 67(10): 2565-2579, 2019
[TSP] 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
[TSP] 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
[TSP] Aryan Mokhtari, Qing Ling, Alejandro Ribeiro: Network Newton distributed optimization methods. IEEE Transactions on Signal Processing, 65(1): 146-161, 2017
[TSP] 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
[TSP] 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
[TSP] 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
[TSP] 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
[TSP] 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 [IEEE信号处理协会青年作者最佳论文奖][ESI高被引论文]
[TSP] Qing Ling, Alejandro Ribeiro: Decentralized dynamic optimization through the alternating direction method of multipliers. IEEE Transactions on Signal Processing, 62(5): 1185-1197, 2014
[TSP] Qing Ling, Zaiwen Wen, Wotao Yin: Decentralized jointly sparse optimization by reweighted lq minimization. IEEE Transactions on Signal Processing, 61(5): 1165-1170, 2013
[TSP] 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
[TSP] Qing Ling, Zhi Tian: Decentralized sparse signal recovery for compressive sleeping wireless sensor networks. IEEE Transactions on Signal Processing, 58(7): 3816-3827, 2010
[TPDS] 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
[TPDS] 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
[SIOPT] Kun Yuan, Qing Ling, Wotao Yin: On the convergence of decentralized gradient descent. SIAM Journal on Optimization, 26(3): 1835-1854, 2016 [世界华人数学家联盟杰出论文奖][ESI高被引论文]
[SIOPT] 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 [ESI高被引论文]