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Editorial:

  • Y. Tang, W. Lin, C. Yang, N. Gatti, G. G. Yen, Cognitive Learning of Multi-Agent Systems, IEEE Transactions on Cognitive and Developmental Systems, pp. 4-6, vol. 16, no. 1, Feb. 2024.

  • Y. Tang, G. Yen, J. Kurths, Special Issue on Computational Intelligence for Perception and Decision-Making of Autonomous Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, pp. 1287-1289, vol. 6, no. 6, Dec. 2022.

  • Y. Tang, J. Kurths, W. Lin, E. Ott, L. Kocarev, Introduction to Focus Issue: When machine learning meets complex systems: networks, chaos, and nonlinear dynamics, CHAOS, vol. 30, no. 6, pp. 063151, Jun. 2020.

  • J. Wang, T. Huang, J. Liang, Y. Tang, J. Hu, Dynamical behaviors of coupled neural networks with reaction–diffusion terms: Analysis, control and applications, Neurocomputing, vol. 227, no. 1, pp. 1-2, Mar. 2017.

  • Y. Tang, H. Gao, Y. Shi, J. Kurths, Synchronizability, controllability and observability of networked multi-agent systems, Journal of the Franklin Institute, vol. 352, no. 9, pp. 3405-3409, Sept. 2015.

Selected Journal Publications:

In press:

  1. G. Cui, R. Xia, X. Jin, Y. Tang, Motion Planning and Control of A Morphing Quadrotor in Restricted Scenarios, IEEE Robotics and Automation Letters, accepted, 2024.

  2. C. Liu, H. Zhu, M. Zhou, R. Deng, Y. Tang, W. Du, Phase Shifting Transformer-based Mitigation Strategy for Load Redistribution Attacks in Power System Optimal Power Flow, IEEE Transactions on Smart Grid, accepted, 2024.

  3. H. Yang, C. Zhao, L. Sheng, Y. Tang, Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation, the 33rd International Joint Conference on Artificial Intelligence, August 3-9, Jeju Korea, 2024. (IJCAI 2024)

  4. F. Hu, H. Zhang, Y. Tang, Deadbeat Consensus Prediction for Multi-agent Systems Using Intermittent Local Information, IEEE Transactions on Control of Network Systems, accepted, 2024.

  5. M. Tian, M. Chen, W. Du, Y. Tang, Yaochu Jin, and Gary G. Yen, A Composite Decomposition Method for Large-Scale Global Optimization, IEEE Transactions on Artificial Intelligence, accepted, 2024.

  6. Y. Li, S. Ma, X. Wu, Y. Tang, Infinite Horizon Stabilization and Linear Quadratic Optimal Control of Descriptor Stochastic Markov Jump Systems, IEEE Transactions on Circuits and Systems I: Regular Papers, accepted, 2024.

  7. B. Goswami, Y. Tian, Y. Mishra, J. Jin, Y. Tang, Communication Solutions for Last Mile of Smart Grid–Neighborhood Area Networks in Smart Grid Communications: Standards and Challenges, IEEE Power & Energy Magazine, accepted, 2024.

  8. X. Jin, Z. Cao, Y. Tang, J. Kurths, Partial Quantum Consensus of Qubit Networks with Connected Topologies, IEEE Transactions on Cybernetics, accepted, 2024. (Regular Paper)

  9. X. Wu, Y. Tang, S. Mao, Y. Zhao, Stability Analysis and Stabilization of Semi-Markov Jump Linear Systems with Unavailable Information of Sojourn-Times, Science China Information Sciences, accepted, 2024.

  10. J. Wang, Z. Zhou, X. Jin, S. Mao, Y. Tang, Matching-Based Capture-the-Flag Games for Multi-Agent Systems, IEEE Transactions on Cognitive and Developmental Systems, accepted, 2024. (Regular Paper)

  11. H. Zhang, J. Yang, B. Zhang, Y. Tang, W. Du, B. Wen, Enhancing Generalized Spectral Clustering with Embedding Laplacian Graph Regularization, CAAI Transactions on Intelligence Technology, accepted, 2024. (Regular Paper)

  12. X. Jin, D. Ho, Y. Tang, Synchronization of multiple rigid body systems: a survey, CHAOS, accepted, 2024. (Survey Paper, Editor’s Pick)

  13. F. Qian, Y. Tang, X. Yu, The Future of Process Industry: A Cyber-Physical-Social System Perspective, IEEE Transactions on Cybernetics, accepted, 2024. (Survey Paper)

  14. X. Li, Y. Tang, Y. Zou, S. Li, W. Zheng, Output-Feedback Consensus of Multi-Agent Systems with Event-Triggered Communication, IEEE Transactions on Automatic Control, accepted, 2024.

  15. C, Liu, Y. Tang, R. Deng, W. Du, Joint meter protection and moving targeted defense for detecting stealthy false data injection attacks in power system state estimation, IEEE Transactions on Industrial Informatics, accepted, 2024. (Regular Paper)

  16. Q. Sun, G. Yen, Y. Tang, C. Zhao, Learn to Adapt for Self-supervised Monocular Depth Estimation, IEEE Transactions on Neural Networks and Learning Systems, accepted, 2024. (Regular Paper)

  17. L. Xiong, Y. Tang, C. Liu, S. Mao, K. Meng, Z. Dong, F. Qian, A home energy management approach using decoupling value and policy in reinforcement learning, Frontiers of Information Technology & Electronic Engineering, accepted, 2024. (Regular Paper)

  18. T. Wu, Y. Tang, Q. Sun, L. Xiong, Molecular Joint Representation Learning via Multi-modal Information, IEEE/ACM Transactions on Computational Biology and Bioinformatics, accepted, 2024. (Regular Paper)

  19. W. Du, W. Song, Y. Tang, Y. Jin, F. Qian, Searching for Robust Intervals of Potential Solutions in Evolutionary Robust Optimization, IEEE Transactions on Evolutionary Computation, accepted, 2024. (Regular Paper)

  20. W. Zhang, Q. Han, Y. Tang, Y. Liu, Sampled-Data Consensus of Linear Time-Varying Multi-agent Networks with Time-Varying Topologies, IEEE Transactions on Cybernetics, accepted, 2024. (Regular Paper)

  21. W. Zhang, Y. Tang, W. Zheng, Y. Zou, Stability of Sampled-data Systems with Nonuniform Sampling Interval, IEEE Transactions on Cybernetics, accepted, 2024. (Regular Paper)

  22. F. Li, Y. Tang, Multi-sensor Fusion Boolean Bayesian Filtering for Stochastic Boolean Networks, IEEE Transactions on Neural Networks and Learning Systems, accepted, 2024. (Regular Paper)

2024

  1. W. Ren, Y. Tang, Q. Sun, C. Zhao, Q. Han, Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview, IEEE/CAA Journal of Automatica Sinica, vol. 11, no. 5, pp. 1106-1126, May 2024. (Survey Paper)

  2. X. Li, Y. Tang, Y. Zou, S. Li, W. X. Zheng, Output-Feedback Multi-Agent Consensus with Intermittent Communication on Directed Graphs, IEEE Transactions on Automatic Control, vol. 69, no. 5, pp. 2537-2544, May 2024.

  3. W. Fang, W. Du, R. He, Y. Tang, Y. Jin, G. G. Yen, Diffusion Model-based Multi-objective Optimization for Gasoline Blending Scheduling, IEEE Computational Intelligence Magazine, vol. 19, no. 2, pp. 61-76, May 2024.

  4. C. Liu, Y. Li, H. Zhu, Y. Tang, W. Du, Parameter-Estimate-First False Data injection Attacks in AC State Estimation Deployed with Moving Target Defense, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 71, no. 4, pp. 1842-1851, Apr. 2024. (Regular Paper)

  5. H. Zhang, B. Wen, Z. Zha, B. Zhang, Y. Tang, G. Yu, W. Du, Accelerated PALM for Nonconvex Low-rank Matrix Recovery with Theoretical Analysis, IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 4, pp. 2304-2317, Apr. 2024. (Regular Paper)

  6. C. Hespe, H. Saadabadi, A. Datar, H. Werner, Y. Tang, A Decomposition Approach to Multi-Agent Systems with Bernoulli Packet Loss, IEEE Transactions on Control of Network Systems, vol. 11, no. 1, pp. 210-220, Mar. 2024. (Regular Paper)

  7. L. Xiong, Y. Tang, C. Liu, S. Mao, K. Meng, Z. Dong, F. Qian, Interpretable Deep Reinforcement Learning for optimizing Heterogeneous Energy Storage Systems, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 7, no. 2, pp. 910-921, Feb. 2024. (Regular Paper)

  8. X. Bing, W. Ren, Y. Tang, G. Yen, Q. Sun, Domain Adaptation for In-air to Underwater Image Enhancement via Deep Learning, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 10, no. 1, pp. 1015-1029, Feb. 2024. (Regular Paper)

  9. X. Li, Y. Tang, Y. Zou, S. Li, W. Zheng, Event-Triggered Multi-Agent Consensus under Relative Output Sensing, IEEE Transactions on Cybernetics, vol 54, no. 2, pp. 915-928, Feb. 2024. (Regular Paper)

  10. J. Huang, W. Yang, D. Ho, F. Li, Y. Tang, Security Analysis of Distributed Consensus Filtering under Replay Attacks, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 7, no. 2, pp. 910-921, Feb. 2024. (Regular Paper)

  11. R. Tang, W. Yang, Z. Rong, C. Yang, Y. Tang, Channel Pricing and Sensor Scheduling for Distributed Estimation Based on a Stackelberg Game Framework, IEEE Transactions on Signal and Information Processing over Networks, vol. 10, pp. 59-68, Jan. 2024.

  12. K. Zhang, Q. Sun, C. Zhao, Y. Tang, Causal reasoning in typical computer vision tasks, Science China Technological Sciences, vol. 67, pp. 105-120, Jan. 2024.

  13. X. Li, Y. Tang, Y. Zou, S. Li, W. Zheng, A Hybrid Time/Event-Triggered Framework for Multi-Agent Consensus with Relative Measurements, Automatica, vol. 159, art. No. 111369, Jan. 2024.

2023

  1. W. Zhang, Y. Tang, W. Zheng, Y. Zou, Stability of Sampled-Data Systems with Packet Losses: A Nonuniform Sampling Interval Approach, IEEE Transactions on Cybernetics, vol. 53, no. 12, pp. 7648-7658, Dec. 2023. (Regular Paper)

  2. Y. Tang, C. Zhao, J. Wang, C. Zhang, Q. Sun, W. Zheng, W. Du, F. Qian, J. Kurths, Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey, IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 12, pp. 9604-9624, Dec. 2023. (Survey Paper)

  3. M. Chen, W. Du, Y. Tang, Y. Jin, G. Yen, A Decomposition Method for Both Additively and Non-additively Separable Problems, IEEE Transactions on Evolutionary Computation, vol. 27, no. 6, pp. 1720-1734, Dec. 2023. (Regular Paper)

  4. H. Zhang, S. Li, J. Qiu, Y. Tang, J. Wen, Z. Zha, B. Wen, Efficient and Effective Nonconvex Low-rank Subspace Clustering via SVT-free Operators, IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 12, pp. 7515-7529, Dec. 2023. (Regular Paper)

  5. Z. Li, Y. Tang, Y. Fan, T. Huang, Formation Control with Unknown Directions and General Coupling Coefficients, IEEE Systems Journal, vol. 17, no. 4, pp. 6600-6610 Dec. 2023. (Regular Paper)

  6. R. Xia, C. Zhao, M. Zheng, Z Wu, Q. Sun, Y. Tang. CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation, the IEEE/CVF International Conference on Computer Vision (ICCV), Paris, October 2-6, pp. 21572-21581, 2023. (ICCV 2023)

  7. C. Zhao, M. Poggi, F. Tosi, L. Zhou, Q. Sun, Y. Tang, S. Mattoccia. GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes, the IEEE/CVF International Conference on Computer Vision (ICCV), Paris, October 2-6, pp. 16209-16220, 2023. (ICCV 2023)

  8. T. Fu, Y. Tang, T. Wu, X. Xia, J. Wang, C. Zhao, Multi-dimensional Deformable Object Manipulation Using Equivariant Models, Proceedings of the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, Detroit, MI, USA, pp. 1000-1007, October 1-5, 2023. (IROS 2023)

  9. H. Zhang, F. Qian, P. Shi, W. Du, Y. Tang, J. Qian, C. Gong, J. Yang, Generalized Nonconvex Nonsmooth Low-rank Matrix Recovery Framework with Feasible Algorithm Designs and Convergence Analysis, IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 9, pp. 5342-5353, Sept. 2023. (Regular Paper)

  10. W. Ding, J. Zhou, W. Yang, Y. Tang, An efficient encoding mechanism against eavesdropper with side channel information, Automatica, vol. 153, art no. 111062, July 2023.

  11. S. Mao, M. Yang, W. Yang, Y. Tang, W. Zheng, J. Gu, H. Werner, Differentially Private Distributed Optimization with an Event-Triggered Mechanism, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 70, no. 7, pp. 2943-2956, July 2023. (Regular Paper)

  12. Z. Wang, B. Cheng, L. Zhao, D. Xu, Y. Tang, L. Sheng, VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud, IEEE/CVF Computer Vision and Pattern Recognition Conference, Vancouver, Canada, pp. 21560-21569, June 18-22, 2023. (CVPR 2023, Spotlight)

  13. J. Spencer, C. Qian, M. Trescakova, C. Russell, S. Hadfield, E. Graf, W. Adams, A. Schofield, J. Elder, R. Bowden, A. Anwar, H. Chen, X. Chen, K. Cheng, Y. Dai, H. T. Hoa, S. Hossain, J. Huang, M. Jing, B. Li, C. Li, B. Li, Z. Liu, S. Mattoccia, S. Mercelis, M. Nam, M. Poggi, X. Qi, J. Ren, Y. Tang, F. Tosi, L. Trinh, S. Uddin, K. Umair, K. Wang, Y. Wang, Y. Wang, M. Xiang, G. Xu, W. Yin, J. Yu, Q. Zhang, C. Zhao, The Second Monocular Depth Estimation Challenge, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, Vancouver, Canada, pp. 3063-3075, June 18-22, 2023. (CVPRW 2023)

  14. J. Xu, H. Zhang, G. Gu, Y. Tang, Stabilization of discrete-time systems with random delays and packet drops: A predictor-like controller, SIAM Journal on Control and Optimization, vol. 61, no. 3, pp. 1737-1759, June 2023. (Regular Paper)

  15. R. Xia, C. Zhao, Q. Sun, Y. Tang, Modality Translation and Fusion for Event-based Semantic Segmentation, Control Engineering Practice, vol. 136, article no. 105530, May 2023.

  16. T. Wu, S. He, J. Liu, S. Sun, K. Liu, Q. Han, Y. Tang, A brief overview of ChatGPT: the history, status quo and potential future development, IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 5, pp. 1122-1136, May 2023. (Survey Paper)

  17. P. Ji, J. Ye, Y. Mu, W. Lin, Y. Tian, C. Hens, M. Perc, Y. Tang, J. Sun, J. Kurths, Signal propagation in complex networks, Physics Reports, vol. 1017, pp. 1-96, May 2023. (Survey Paper)

  18. L. Xiong, Y. Tang, C. Liu, S. Mao, K. Meng, Z. Dong, F. Qian, Meta-Reinforcement Learning-based Transferable Scheduling Strategy for Energy Management, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 70, no. 4, pp. 1685-1695, Apr. 2023. (Regular Paper)

  19. K. Chen, W. He, W. Zheng, W. Zhang, Y. Tang, Minimal Leader Selection in General Linear Multi-Agent Systems with Switching Topologies: Leveraging Submodularity Ratio, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 70, no. 4, pp. 1720-1732, Apr. 2023. (Regular Paper)

  20. X. Wu, W. Zheng, Y. Tang, X. Jin, Stability Analysis for Impulsive Stochastic Time-varying Systems, IEEE Transactions on Automatic Control, vol. 68, no. 4, pp. 2584-2591, Apr. 2023.

  21. W. Ren, Q. Sun, C. Zhao, Y. Tang, Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning, Control Engineering Practice, vol. 133, art. No. 105438, Apr. 2023.

  22. 王健瑞，黄家豪，唐漾，基于深度强化学习的不完美信息群智夺旗博弈, 中国科学: 技术科学, 53(03):405-416, 2023年3月.

  23. Z. Dong, S. Mao, M. Perc, W. Du, Y. Tang, A Distributed Dynamic Event-Triggered Algorithm with Linear Convergence Rate for the Economic Dispatch Problem, IEEE Transactions on Network Science and Engineering, vo. 10, no. 1, pp. 500-513, January-February 2023. (Regular Paper)

  24. J. Spencer, C. Qian, C. Russell, S. Hadfield, E. Graf, W. Adams, A. Schofield, J. Elder, R. Bowden, H. Cong, S. Mattoccia, M. Poggi, Z. Suri, Y. Tang, F. Tosi, H. Wang, Y. Zhang, Y. Zhang, C. Zhao, The Monocular Depth Estimation Challenge, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, 3-7, January 2023.

2022

  1. Y. Hong, Y. Jin, Y. Tang, Rethinking individual global max in cooperative multi-agent reinforcement learning, 36th Advances in Neural Information Processing Systems, New Orleans, Louisiana, USA: MIT Press, 2022. (NeurIPS 2022, CCF-A类)

  2. Q. Sun, J. Fang, W. Zheng, Y. Tang, Aggressive Quadrotor Flight Using Curiosity-Driven Reinforcement Learning, IEEE Transactions on Industrial Electronics, vol. 69, no. 12, pp. 13838-13848, December 2022. (Regular Paper)

  3. C. Zhao, Y. Tang, Q. Sun, Unsupervised Monocular Depth Estimation in Highly Complex Environments, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6, no. 5, pp. 1237-1246, Oct. 2022. (Regular Paper)

  4. M. Xue, Y. Tang, W. Ren, F. Qian, Stability of Multi-Dimensional Switched Systems with an Application to Open Multi-Agent Systems, Automatica, vol. 146, art no. 110644, Oct. 2022. (Regular Paper)

  5. X. Jin, S. Mao, L. Kocarev, C. Liang, S. Wang, Y. Tang, Event-Triggered Optimal Attitude Consensus of Multiple Rigid Body Systems with Unknown Dynamics, IEEE Transactions on Network Science and Engineering, vol. 9, no. 5, pp. 3701-3714, September-October 2022. (Regular Paper)

  6. C. Zhao, Y. Zhang, M. Poggi, F. Tosi, X. Guo, Z. Zhu, G. Huang, Y. Tang, S. Mattoccia, MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer-10th International Conference on 3D Vision, 3DV 2022, Prague, Czechia, 12-15 September 2022.

  7. Y. Tang, X Jin, Y Shi, W Du, Event-triggered Attitude Synchronization of Multiple Rigid Body Systems with Velocity-free Measurements, Automatica, vol. 143, art no. 110460, September 2022. (Regular Paper)

  8. X. Jin, Y. Shi, Y. Tang, H. Werner, J. Kurths, Event-triggered Fixed-time Attitude Consensus with Fixed and Switching Topologies, IEEE Transactions on Automatic Control, vol. 67, no. 8, pp. 4138-4145, Aug. 2022.

  9. K. Chen, W. He, Q. Han, M. Xue, Y. Tang, Leader Selection in Networks with Switching Topologies and Antagonistic Interactions, Automatica, vol. 142, art. no 110334, Aug. 2022. (Regular Paper)

  10. Z. Li, Y. Tang, Y. Fan, T. Huang, L. Rutkowski, Formation Control of Multi-Agent Systems with Constrained Mismatched Compasses, IEEE Transactions on Network Science and Engineering, vol. 9, no. 4, pp. 2224-2236, July-August 2022. (Regular Paper)

  11. C. Zhao, Y. Tang, Q. Sun, Athanasios V. Vasilakos, Deep Direct Visual Odometry, IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 7733-7742, July 2022. (Regular Paper)

  12. S. Mao, Z. Dong, W. Du, Y. Tian, C. Liang, Y. Tang, Distributed Non-Convex Event-Triggered Optimization over Time-varying Directed Networks, IEEE Transactions on Industrial Informatics, vol. 18, no. 7, pp. 4737-4748, July 2022. (Regular Paper)

  13. Q. Sun, Y. Tang, C. Zhang, C. Zhao, F. Qian, J. Kurths, Unsupervised Estimation of Monocular Depth and VO in Dynamic Environments via Hybrid Masks, IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 5, pp. 2023-2033, May 2022. (Regular Paper)

  14. J. Wang, Y. Hong, J. Wang, J. Xu, Y. Tang, Q. Han, J. Kurths, Cooperative and Competitive Multi-agent Systems: From Optimization to Games, IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 5, pp. 763–783, May 2022. (Featured Article)

  15. Z. Li, Y. Tang, T. Huang, S. Wen, Formation Control of Multi-Agent Networks: Cooperative and Antagonistic Interactions, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 52, no. 5, pp. 2809-2818, May 2022. (Regular Paper)

  16. J. Zhou, W. Yang, H. Zhang, W. Zheng, Y. Xu, Y. Tang, Security analysis and defense strategy of distributed filtering under false data injection attacks, Automatica, vol. 138, art no. 110151, Apr. 2022.

  17. L. Xiong, Y. Tang, S. Mao, H. Liu, K. Meng, Z. Dong, F. Qian, A Two-Level Energy Management Strategy for Multi-Microgrid Systems with Interval Prediction and Reinforcement Learning, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 69, no. 4, pp. 1788-1799, Apr. 2022. (Regular Paper)

  18. D. Zhang, Y. Tang, X. Jin, J. Kurths, Quaternion-Based Attitude Synchronization with Event-Based Communication Strategy, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 69, no. 3, pp. 1333-1346, Mar. 2022. (Regular Paper)

  19. W. Du, W. Song, Y. Tang, Y. Jin, F. Qian, Searching for Robust Intervals in Evolutionary Robust Optimization, IEEE Transactions on Evolutionary Computation, vol. 26, no. 1, pp. 58-72, Feb. 2022. (Regular Paper)

  20. 孙琦钰, 赵超强, 唐漾, 钱锋, 基于无监督域自适应的计算机视觉任务研究进展, 中国科学:技术科学, vol. 52, no. 1, 26-54, Jan. 2022. (Survey Paper)

  21. X. Jin, Y. Tang, Y. Shi, W. Zhang, W. Du, Event-Triggered Formation Control for a Class of Uncertain Euler–Lagrange Systems: Theory and Experiment, IEEE Transactions on Control Systems Technology, vol. 30, no. 1, pp. 336-343, Jan. 2022.

  22. J. Xu, G. Gu, Y. Tang, F. Qian, Channel Modeling and LQG Control in the Presence of Random Delays and Packet Drops, Automatica, vol. 135, art no. 109967, Jan. 2022. (Regular Paper)

2021

  1. C. Zhang, Y. Tang, C. Zhao, Q. Sun, Z. Ye, J. Kurths, Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency, IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 12, pp. 5404-5415, Dec. 2021. (Regular Paper)

  2. C. Zhao, G. G. Yen, Q. Sun, C. Zhang, Y. Tang, Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency, IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 12, pp. 5392-5403, Dec. 2021. (Regular Paper)

  3. W. Zhang, Y. Tang et al, Distributed Tracking for Discrete-Time Multi-agent Networks via an Ultrafast Control Protocol, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 51, no. 12, pp. 7542-7552, Dec. 2021. (Regular Paper)

  4. 熊珞琳，毛帅，唐漾，孟科，董朝阳，钱锋，基于强化学习的综合能源系统综述，自动化学报，vol. 47, no. 10, pp. 2321−2340, Oct. 2021. (Survey Paper)

  5. L. Zhang, B. Wang, Y. Li, Y. Tang, Distributed Stochastic Model Predictive Control for Cyber-physical Systems with Multiple State Delays and Probabilistic Saturation Constraints, Automatica, vol. 129, pp. 109574, Jul. 2021.

  6. G. Gu, Y. Tang, F. Qian, Kalman Filtering over the Random Delay and Packet Drop Channel, SIAM Journal on Control and Optimization, vol. 59, no. 4, pp. 2454-2476, Jul. 2021.

  7. F. Li, Y. Tang, Pinning Controllability for a Boolean Network with Arbitrary Disturbance Inputs, IEEE Transactions on Cybernetics, vol. 51, no. 6, pp. 3338-3347, Jun. 2021. (Regular Paper)

  8. J. Xu, G. Gu, V. Gupta, Y. Tang, Optimal Stationary State Estimation Over Multiple Markovian Packet Drop Channels, Automatica, vol. 128, art. No. 109561, Jun. 2021. (Regular Paper)

  9. D. Zhang, Y. Tang, Z. Ding, F. Qian, Event-based Resilient Formation Control of Multi-Agent Systems, IEEE Transactions on Cybernetics, vol. 51, no. 5, pp. 2490-2503, May 2021. (Regular Paper)

  10. Xi. Li, Z. Sun, Y. Tang, et al, Adaptive Event-Triggered Consensus of Multi-Agent Systems on Directed Graphs, IEEE Transactions on Automatic Control, vol. 66, no. 4, pp. 1670-1685, Apr. 2021. (Full Paper)

  11. X. Wu, Y. Tang, P. Shi, S. Mao, F. Qian, Stability Analysis of Semi-Markov Jump Stochastic Nonlinear Systems, IEEE Transactions on Automatic Control, vol. 67, no. 4, pp. 2084-2091, Apr. 2022.

  12. J. Ni, L. Liu, Y. Tang, Chongxin Liu, Predefined-time Consensus Tracking of Second-order Multi-agent Systems, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 51, no. 4, pp. 2550-2560, Apr. 2021. (Regular Paper)

  13. S. Mao, Z. Dong, P. Schultz, Y. Tang, K. Meng, Z. Dong, F. Qian, A Finite-Time Distributed Optimization Algorithm for Economic Dispatch in Smart Grids, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 51, no. 4, pp. 2068-2079, Apr. 2021. (Regular Paper)

  14. J. Ni, Y. Tang, P. Shi, A New Fixed-time Consensus Tracking Approach for Second-order Multi-agent Systems under Directed Communication Topology, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 51, no. 4, pp. 2488-2500, Apr. 2021. (Regular Paper)

  15. Z. Li, T. Huang, Y. Tang, W. Zhang, Formation Control of Multi-agent Systems with Communication Noise: A Convex Analysis approach, IEEE Transactions on Cybernetics, vol. 51, no. 4, pp. 2253-2264, Apr. 2021. (Regular Paper)

  16. S. Mao, Y. Tang, Z. Dong, K. Meng, Z. Dong, F. Qian, A Privacy Preserving Distributed Optimization Algorithm for Economic Dispatch over Time-varying Directed Networks, IEEE Transactions on Industrial Informatics, vol. 17, no. 3, pp. 1689-1701, Mar. 2021. (Regular Paper)

  17. S. Wang, X. Jin, S. Mao, A. V. Vasilakos, Y. Tang, Model-Free Event-Triggered Optimal Consensus Control of Multiple Euler-Lagrange Systems via Reinforcement Learning, IEEE Transactions on Network Science and Engineering, vol. 8, no. 1, pp. 246-258, Jan.-Mar. 2021. (Regular Paper)

  18. Z. Li, Y. Tang, J. Fang, T. Huang, Formation Control of Multi-agent systems with Orientation Noises, IEEE Transactions on Network Science and Engineering, vol. 8, no. 1, pp. 305-317, Jan.-Mar. 2021. (Regular Paper)

  19. W. Zhang, S. Mao, J. Huang, L. Kocarev, Y. Tang, Data-Driven Resilient Control for Linear Discrete-Time Multi-Agent Networks Under Unconfined Cyber-Attacks, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 2, pp. 776-785, Feb. 2021. (Regular Paper)

  20. Y. Tang, D. Zhang, P. Shi, W. Zhang, F. Qian, Event-based formation control for nonlinear multiagent systems under DoS attacks, IEEE Transactions on Automatic Control, vol. 66, no. 1, pp. 452-459, Jan. 2021.

2020

  1. D. Zhang, Y. Tang, W. Zhang, X. Wu, Hierarchical Design for Position-Based Formation Control of Rotorcraft-Like Aerial Vehicles, IEEE Transactions on Control of Network Systems, vol. 7, no. 4, pp. 1789-1800, Dec. 2020. (Regular Paper)

  2. X. Jin, Y. Shi, Y. Tang, X. Wu, Event-triggered attitude consensus with absolute and relative attitude measurements, Automatica, vol. 122, no. 12, art. No. 109245, Dec. 2020.

  3. J. Huang, D. W. C. Ho, F. Li, W. Yang, Y. Tang, Secure Remote State Estimation against Linear Deception Attacks Using Watermarking, Automatica, vol. 121, art. No. 109182, Nov. 2020.

  4. W Yang, D Li, H. Zhang, Y. Tang, W. Zheng, An Encoding Mechanism for Secrecy on Remote State Estimation, Automatica, vol. 106, art. no. 109116, Oct. 2020.

  5. C. Zhao, Q. Sun, C. Zhang, Y. Tang, Feng Qian, Monocular Depth Estimation based on Deep Learning: An Overview, Sciences China: Technological Sciences, vol. 63, no. 9, pp. 1612-1627, Sept. 2020. (Survey Paper, 中国科学：技术科学)

  6. F. Li, D. Wang, Y. Tang, Pinning Controllability of K-valued Logical Systems, IEEE Transactions on Control of Network Systems, vol. 7, no. 3, pp. 1523-1533, Sept. 2020. (Regular Paper)

  7. X. Jin, W. Du, W. He, L. Kocarev, Y. Tang, Jü. Kurths, Twisting-based Finite-time Consensus for Euler-Lagrange Systems with Event-triggered Strategy, IEEE Transactions on Network Science and Engineering, vol. 7, no. 3, pp. 1007-1018, July-September 2020. (Regular Paper)

  8. W. He, T. Luo, Y. Tang, W. Du, Y. Tian, F. Qian, Secure communication Based on Quantized Synchronization of Chaotic Neural Networks Under an Event-Triggered Strategy, IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 9, pp. 3334-3345, Sept. 2020. (Regular Paper)

  9. Y. Tang, D. Zhang, D. W. C. Ho, W. Yang, B. Wang, Event-Based Tracking Control of Mobile Robot with Denial-of-Service Attacks, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 50, no. 9, pp. 3300-3311, Sept. 2020. (Regular Paper)

  10. C. Zhang, J. Wang, G. G. Yen, C. Zhao, Q. Sun, Y. Tang, F. Qian, J. Kurths, When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey, Patterns (Cell Press), vol. 1, no. 4, art. No. 100050, July 2020. (Survey Paper)

  11. W. Yang, Z. Zheng, G. Chen, Y. Tang, X. Wang, Security Analysis of a Distributed Networked System under Eavesdropping Attacks, IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 7, pp. 1254-1258, July 2020.

  12. W. Zhang, D. W. C. Ho, Y. Tang, Y. Liu, Quasi-consensus of heterogeneous switched nonlinear multi-agent systems, IEEE Transactions on Cybernetics, vol. 50, no. 7, pp. 3136-3146, July 2020. (Regular Paper)

  13. J. Huang, Y. Tang, W. Yang, F. Li, Resilient Consensus-based Distributed Filtering: Convergence Analysis under Stealthy Attacks, IEEE Transactions on Industrial Informatics, vol. 16, no. 7, pp. 4878-4888, July 2020.

  14. M. Xue, Y. Tang, W. Ren, F. Qian, Practical output synchronization for asynchronously switched multi-agent systems with adaption to fast-switching perturbations, Automatica, vol. 116, art. No. 108917, Jun. 2020. (Regular Paper)

  15. Y. Tang, X. Wu, P. Shi, F. Qian, Input-to-State Stability for Nonlinear Systems with Stochastic Impulses, Automatica, vol. 113, no. 3, art no. 108766, Mar. 2020. (Regular Paper)

  16. F. Li, Y. Tang, False data injection attack for cyber-physical systems with resource constraints, IEEE Transactions on Cybernetics, vo. 50, no. 2, pp. 729-738, Feb. 2020.

  17. W. Zhang, Y. Tang, L. Kocarev, and Z. Wu, Cluster Tracking Performance Analysis of Linear Heterogeneous Multi-agent Networks: A Complex Frequency Domain Approach, IEEE Transactions on Circuits and Systems-I: Regular Papers, vol. 67, no. 1, pp. 259-270, Jan. 2020.

2019

  1. Y. Tang, D. Zhang, X. Jin, D. Yao and F. Qian, A Resilient Attitude Tracking Algorithm for Mechanical Systems, IEEE/ASME Transactions on Mechatronics, vol. 24, no. 6, pp. 2550-2561, Dec. 2019.

  2. S. Mao, B. Wang, Y. Tang, F. Qian, Opportunities and Challenges of Artificial Intelligence for Green Manufacturing in the Process Industry, Engineering (A journal of Chinese Academy of Engineering), vol. 5, pp. 995–1002, Dec. 2019. (Survey Paper)

  3. Q. Sun, Y. Tang, C. Zhao, Cycle-SfM: Joint Self-supervised Learning of Depth and Camera Motion from Monocular Image Sequences, CHAOS, vol. 29, no. 123102, Dec. 2019.

  4. J. Xu, Y. Tang, W. Yang, F. Li, L. Shi, Event-triggered Minimax State Estimation with a Relative Entropy Constraint, Automatica, vol. 110, no. 12, art. No. 108592, Dec. 2019. (Regular Paper)

  5. J. Xu, D. W. C. Ho, F. Li, W. Yang, Y. Tang, Event-triggered risk-sensitive state estimation for hidden Markov models, IEEE Transactions on Automatic Control, vol. 64, no. 10, pp. 4276-4283, Oct. 2019.

  6. J. Xu, X. Wu, Y. Tang, Optimal Linear Exponential Quadratic Gaussian Estimation with Intermittent Observations, IEEE Control Systems Letters, vol. 3, no. 4, pp. 936-941, Oct. 2019.

  7. Z. Li, Y. Tang, T. Huang, J. Kurths, Formation control with mismatched orientation in multi-agent systems, IEEE Transactions on Network Science and Engineering, vol. 6, no. 3, pp. 314-325, Jul.-Sept. 2019.

  8. M. Xue, Y. Tang, L. Wu, F. Qian, W. Zhong, Switching stabilization for Type-2 fuzzy systems with networked-induced packet losses, IEEE Transactions on Cybernetics, vol. 49, no. 7, pp. 2591-2604, July 2019.

  9. X. Wu, Y. Tang, J. Cao, Input-to-state stability of time-varying switched systems with time-delays, IEEE Transactions on Automatic Control, vol. 64, no. 6, pp. 2537-2544, June 2019.

  10. Z. Li, J. Fang, Y. Tang, T. Huang, Consensus of linear discrete-time multi-agent systems: a low-gain distributed impulsive strategy, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 49, no. 6, pp. 1041-1052, June 2019.

  11. W. Zhang, Q. Han, Y. Tang, Y. Liu, Sampled-data control of linear time-varying systems, Automatica, 2019, vol. 103, no. 4, pp. 126-134. April 2019.

  12. X. Zong, Q. Sun, D. Yao, W. Du, Y. Tang, Trajectory Planning in 3D Dynamic Environment with Non-cooperative Agents via Fast Marching and Bézier Curve, Cyber-Physical-Systems, vol. 5, no. 2, pp. 119-143, April 2019.

  13. Y. Tang, D. Zhang, D. W. C. Ho, Feng Qian, Tracking control of a class of cyber-physical systems via a FlexRay communication network, IEEE Transactions on Cybernetics, vol. 49, no. 4, pp. 1186-1199, Apr. 2019.

  14. Q. Song, F. Liu, J. Cao, A. V. Vasilakos, Y. Tang, Distributed algorithms design for synchronization control of coupled harmonic oscillators with relative position data, IEEE Transactions on Control of Network Systems, vol. 6, no. 1, pp. 13-23, March 2019.

  15. W. Du, W. Zhong, Y. Tang, W. Du, Y. Jin, Robust evolutionary multi-objective optimization for order scheduling: a decision variable classification approach, IEEE Transactions on Industrial Informatics, vol. 15, no. 1, pp. 293-304, Jan. 2019.

2018

  1. B. Zhao, Y. Tang, C. Wu, W. Du, Vision-Based Tracking Control of Quadrotor With Backstepping Sliding Mode Control, IEEE ACCESS, vol. 6, no. 1, pp. 72439-72448, Dec. 2018.

  2. X. Wu, Y. Tang, J. Cao, X. Mao, Stability analysis for continuous-time switched systems with stochastic switching signals, IEEE Transactions on Automatic Control, vol. 63, no. 9, pp. 3083-3090, Sept. 2018. (ISSN: 0018-9286)

  3. M. Xue, Y. Tang, L. Wu, F. Qian, Model approximation for switched genetic regulatory networks, IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 8, pp. 3404-3417, Aug. 2018.

  4. X. Peng, Y. Tang, W. He, W. Du, F. Qian, A just-in-time learning based monitoring and classification method for hyper/hypocalcemia diagnosis, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 15, no. 3, pp. 788-801, May/June 2018.

  5. Z. Wu, Y. Xu, Y. Pan, H. Su, Y. Tang, Event-triggered control for consensus problem in multi-agent systems with quantized relative state measurement and external disturbance, IEEE Transactions on Circuits and Systems-I: Regular Papers, vol. 65, no. 7, pp. 2232-2242, July. 2018.

  6. W. Zhang, Y. Tang, T. Huang, A. V. Vasilakos, Consensus of networked Euler-Lagrange systems under sampled-data control, IEEE Transactions on Industrial Informatics, vol. 14, no. 2, pp. 535-544, Feb. 2018.

  7. W. Du, Y. Tang, S. Leung, L. Tong, A. V. Vasilakos, F. Qian, Robust order scheduling in the discrete manufacturing industry: a multi-objective optimization approach, IEEE Transactions on Industrial Informatics, vol. 14, no. 1, pp. 253-264, Jan. 2018.

2017

  1. W. Zhang, Y. Tang, T. Huang, J. Kurths, Sampled-data consensus of linear multi-agent systems with packet losses, IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 1, pp. 2516-2527, Nov. 2017.

  2. X. Peng, Y. Tang, W. Du, F. Qian, An online performance monitoring and modeling paradigm based on just-in-time learning and extreme learning machine for non-Gaussian chemical process, Industrial & Engineering Chemistry Research, vol. 56, no. 23, pp. 6671-6684, Jun. 2017. (Featured Cover Article)

  3. F. Qian, W. Du, W. Zhong, Y. Tang, Problems and challenges of smart optimization manufacturing in petrochemical industries, Acta Automatica Sinica, vol. 43, no. 6, pp. 895-903, Jun. 2017. (Survey Paper)

  4. F. Li, Y. Tang, Robust reachability of Boolean control networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 14, no. 3, pp. 740-745, May/June 2017.

  5. X. Peng, Y. Tang, W. Du, F. Qian, Multimode process monitoring and fault detection: a sparse modelling and dictionary learning method, IEEE Transactions on Industrial Electronics, vol. 64, no. 6, pp. pp. 4866-4875, Jun. 2017.

  6. F. Li, Y. Tang, Set stabilization for switched Boolean control networks, Automatica, vol. 78, no. 1, pp. 223-230, Apr. 2017.

  7. W. Zhang, Y. Tang, Y. Liu, J. Kurths, Event-triggering containment control for a class of multi-agent networks with fixed and switching topologies, IEEE Transactions on Circuits and Systems-I: Regular Papers, vol. 64, no. 3, pp. 619-629, Mar. 2017.

  8. W. Du, S. Leung, Y. Tang, and A. V. Vasilakos, Differential evolution with event-triggered impulsive control, IEEE Transactions on Cybernetics, vol. 47, no. 1, pp. 244-257, Jan. 2017.

2016

  1. X. Wu, Y. Tang, W. Zhang, Stability analysis of stochastic delayed systems with an application to multi-agent systems, IEEE Transactions on Automatic Control, vol. 61, no. 12, pp. 4143-4149, Dec. 2016.

  2. Y. Tang, H. Gao, J. Kurths, Robust self-triggered control of networked systems under packet dropouts, IEEE Transactions on Cybernetics, vol. 46, no. 12, pp. 3294-3305, Dec. 2016.

  3. Y. Tang, H. Gao, W. Du, J. Lu, A. V. Vasilakos, J. Kurths, Robust multiobjective controllability of complex neuronal networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 13, no. 4, pp. 778-791, Aug. 2016.

  4. X. Wu, Y. Tang, J. Cao, and W. Zhang, Distributed consensus of stochastic delayed multi-agent systems under asynchronous switching, IEEE Transactions on Cybernetics, vol. 46, no. 8, pp. 1817-1827, Aug. 2016.

  5. Q. Song, F. Liu, G. Wen, J. Cao, Y. Tang, Synchronization of coupled harmonic oscillators via sampled position data control, IEEE Transactions on Circuits and Systems-I: Regular Papers, vol. 63, no. 7, pp. 1079-1088, Jul. 2016.

  6. X. Wu, Y. Tang, W. Zhang, Input-to-state stability of impulsive stochastic delayed systems under linear assumptions, Automatica, vol. 66, no. 4, pp. 195-204, Apr. 2016.

  7. J. Lu, J. Zhong, D. W. C. Ho, Y. Tang, J. Cao, On trajectory controllability of delayed Boolean control networks, SIAM Journal on Control and Optimization, vol. 54, no. 2, pp. 475-494, Mar. 2016.

2015

  1. W. Zhang, Y. Tang, W. K. Wong, Q. Miao, Stochastic stability of delayed neural networks with local impulsive effects, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 10, pp. 2336-2345, Oct. 2015.

  2. W. Zou, D. V. Senthilkumar, R. Nagao, I. Z. Kiss, Y. Tang, A. Koseska, J. Duan, and J. Kurths, Restoration of rhythmicity in diffusively coupled dynamical networks, Nature Communications, vol. 6, pp. 7709, Jul. 2015.

  3. Y. Tang, H. Gao, W. Zhang, J. Kurths, Leader-following consensus of a class of stochastic delayed multi-agent systems with partial mixed impulses, Automatica, vol. 53, no. 1, pp. 346-354, Mar. 2015.

2014

  1. Y. Tang, Z. Wang, H. Gao, H. Qiao, J. Kurths, On controllability of neuronal networks with constraints on the average of control gains, IEEE Transactions on Cybernetics, vol. 44, no. 12, pp. 2670-2681, Dec. 2014.

  2. Y. Tang, F. Qian, H. Gao, J. Kurths, Synchronization in complex networks and its application-a survey of recent advances and challenges, Annual Reviews in Control (IFAC Reviews), vol. 38, no. 2, pp. 184-198, Dec. 2014. (Survey Paper)

  3. W. Zhang, Y. Tang, Q. Miao and J. Fang, Synchronization of stochastic dynamical networks under impulsive control with time-delays, IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 10, pp. 1758-1768, Oct. 2014.

  4. Y. Tang, C. Peng, S. Yin, J. Qiu, H. Gao, O. Kaynak, Robust model predictive control under saturations and packet dropouts with application to networked flotation processes, IEEE Transactions on Automation Science and Engineering, vol. 11, no. 4, pp. 1056-1064, Oct. 2014.

  5. Y. Tang, H. Gao, J. Lu, J. Kurths, Pinning distributed synchronization of stochastic dynamical networks: a mixed optimization approach, IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 10, pp. 1804-1815, Oct. 2014.

  6. W. Zhang, Y. Tang, X. Wu, J. Fang, Stochastic stability of switched genetic regulatory networks with time-varying delays, IEEE Transactions on NanoBioscience, vol. 13, no. 3, pp. 336-342, Sept. 2014.

  7. J. Lu, J. Zhong, Y. Tang, T. Huang, J. Cao, J. Kurths, Synchronization in output-coupled temporal Boolean networks, Scientific Reports, vol. 4, pp. 6292, Sept. 2014.

  8. Y. Tang, H. Gao, J. Kurths, Distributed robust synchronization of dynamical networks with stochastic coupling, IEEE Transactions on Circuits and Systems-I: Regular Papers, vol. 61, no. 5, pp. 1508-1519, May 2014.

  9. W. Zhang, Y. Tang, X. Wu and J. Fang, Synchronization of nonlinear dynamical networks with heterogeneous impulses, IEEE Transactions on Circuits and Systems-I: Regular Papers, vol. 61, no. 4, pp. 1220-1228, Apr. 2014.

  10. X. Wu, Y. Tang, W. Zhang, Stability analysis of switched stochastic neural networks with time-varying delays, Neural Networks, vol. 51, no. 1, pp. 39-49, Mar. 2014.

2013

  1. Y. Tang, H. Gao, J. Kurths, Multiobjective identification of controlling areas in neuronal networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10, no. 3, pp. 708-720, May-June 2013.

  2. W. K. Wong, W. Zhang, Y. Tang, X. Wu, Stochastic synchronization of complex networks with mixed impulses, IEEE Transactions on Circuits and Systems-I: Regular Papers, vol. 60, no. 10, pp. 2657-2667, Oct. 2013.

  3. W. Zou, D. V. Senthilkumar, Y. Tang, Y. Wu, J. Lu, J. Kurths, Amplitude death in nonlinear oscillators with mixed time-delayed coupling, Physical Review E, vol. 88, no. 3, pp. 032916, Sept. 2013.

  4. W. Zhang, Y. Tang, Q. Miao, W. Du, Exponential synchronization of coupled switched neural networks with mode-dependent impulsive effects, IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 8, pp. 1316-1326, Aug. 2013.

  5. Y. Tang, H. Gao, W. Zou, J. Kurths, Pinning noise-induced stochastic resonance, Physical Review E, vol. 87, no. 6, pp. 062920, June 2013.

  6. Q. Miao, Y. Tang, J. Kurths, J. Fang, W. K. Wong, Pinning controllability of complex networks with community structure, CHAOS, vol. 23, no. 3, pp. 033114, Sept. 2013.

  7. Y. Tang, W. K. Wong, Distributed synchronization of coupled neural networks via randomly occurring control, IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 3, pp. 435-447, March 2013.

  8. Y. Tang, H. Gao, W. Zou, J. Kurths, Distributed synchronization in networks of agent systems with nonlinearities and random switchings, IEEE Transactions on Cybernetics, vol. 43, no. 1, pp. 358-370, Feb. 2013.

2012

  1. W. Zhang, Y. Tang, J. Fang, X. Wu, Stability of delayed neural networks with time-varying impulses, Neural Networks, vol. 36, no. 1, pp. 59-63 , Dec. 2012.

  2. Y. Tang, H. Gao, W. Zou, J. Kurths, Identifying controlling nodes in neuronal networks in different scales, PLoS ONE, vol. 7, no. 7, pp. e41375, July 2012.

  3. W. Zou, Y. Tang, L. Li, J. Kurths, Oscillation death in asymmetrically delay-coupled oscillators, Physical Review E, vol. 85, no. 4, pp. 046206, Apr. 2012.

  4. Y. Tang, Z. Wang, H. Gao, S. Swift, J. Kurths, A constrained evolutionary computation method for detecting controlling regions of cortical networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 9, no. 6, pp. 1569-1581, Nov.-Dec.2012.

  5. W. Zou, D. V. Senthilkumar, Y. Tang, J. Kurths, Stabilizing oscillation death by multi-component coupling with mismatched delays, Physical Review E, vol. 86, no. 3, pp. 036210, Sep. 2012.

  6. Y. Tang, H. Gao, J. Kurths, J. Fang, Evolutionary pinning control and its application in UAV coordination, IEEE Transactions on Industrial Informatics, vol. 8, no. 4, pp. 828-838, Nov. 2012.

  7. Y. Tang, W. Zou, J. Lu, J. Kurths, Stochastic resonance in an ensemble of bistable systems under stable distribution noises and heterogeneous coupling, Physical Review E, vol. 85, no. 4, pp. 046207, Apr. 2012.

2011

  1. Y. Tang, Z. Wang, W. K. Wong, J. Kurths, J. Fang, Multiobjective synchronization of coupled systems, CHAOS, vol. 21, no. 2, pp. 025114, Jun. 2011.

  2. W. Zhang, Y. Tang, J. Fang, W. Zhu, Exponential cluster synchronization of impulsive delayed genetic oscillators with external disturbances, CHAOS, vol. 21, no. 4, pp. 043137, Dec. 2011.

  3. W. Zou, J. Lu, Y. Tang, C. Zhang, J. Kurths, Control of delay-induced oscillation death by coupling phase in coupled oscillators, Physical Review E, vol. 84, no. 6, pp. 066208, Dec. 2011.

Before 2010

  1. Y. Tang, Z. Wang, J. Fang. Pinning control of fractional-order weighted complex networks. CHAOS, vol. 19, no. 1, pp. 013112, Mar. 2009.

  2. Q. Miao, Z. Rong, Y. Tang, J. Fang, Effects of degree correlation on the controllability of networks, Physica A, vol. 387, no. 24, pp. 6225-6230, Oct. 2008.

  3. Y. Tang, R. Qiu, J. Fang, Q. Miao and M. Xia, Adaptive lag synchronization for stochastic chaotic neural networks with discrete and distributed time-varying delays, Physics Letters A, vol. 372, no. 24, pp. 4425-4433, Jun. 2008.

Selected Conference Publications:

  1. Y. Hong, Y. Jin, Y. Tang, Rethinking individual global max in cooperative multi-agent reinforcement learning-36th Advances in Neural Information Processing Systems, New Orleans, Louisiana, USA: MIT Press, 2022. (CCF-A)

  2. Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo,Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia, MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer-10th International Conference on 3D Vision, 3DV 2022, Prague, Czechia, 12-15 September 2022.

  3. Dandan Zhang, Yang Tang, Xin Peng, Tracking control of delayed networked systems via a pinning impulsive strategy-43rd Annual Conference of the IEEE Industrial Electronics Society 2017, Beijing, China, October 29-November 1, pp. 7245-7250, 2017.

  4. Mengqi Xue, Yang Tang, Ligang Wu, Feng Qian, Stabilization of fuzzy-modeled networked system with packet dropouts: An MDADT-based switching approach-43rd Annual Conference of the IEEE Industrial Electronics Society 2017, Beijing, China, October 29-November 1, pp. 7227-7232, 2017.

  5. Han Zhou, Wen Yang, Chao Yang, Yang Tang, Hongbo Shi, Optimal eavesdropping problem in privacy preserving consensus-43rd Annual Conference of the IEEE Industrial Electronics Society 2017, Beijing, China, October 29-November 1, pp. 5929-5934, 2017.

  6. Mengqi Xue, Yang Tang, Ligang Wu, Feng Qian, Model reduction for switched genetic regulatory networks with time-varying delays-36th Chinese Control Conference 2017, Dalian, China, July 26-28, pp. 245-250, 2017.

  7. Yang Tang, Event-Triggering Sampling Based Synchronization of Delayed Complex Dynamical Networks: An M-matrix Approach, Advances in Neural Networks-14th International Symposium on Neural Networks 2017, Sapporo, Hokkaido, Japan, June 20-24, pp. 475-482, 2017.

  8. Yang Tang, Zhen Li, Consensus of discrete-time multi-agent systems via low-gain impulsive control, The 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016, Phuket, Thailand, November 13-15, 2016.

  9. Wenbing Zhang, Yang Tang, Consensus for a class of multi-agent systems under sampled data control with deterministic packet losses, 42nd Annual Conference of the IEEE Industrial Electronics Society, October 24-27, Palazzo dei Congressi, Piazza Adua, pp. 5352-5355, 1-Firenze (Florence), Italy, 2016.

  10. Yang Tang, Xiaotai Wu, Wenbing Zhang, pth moment exponential stability for impulsive stochastic delayed neural networks, 2016 IEEE International Conference on Systems, Man, and Cybernetics October 9-12, pp. 165-170, Hotel Intercontinental, Budapest, Hungary, 2016.

  11. Wenbing Zhang, Yang Tang, Consensus control for agent networks with stationary leaders, 2016 Chinese Control and Decision Conference (CCDC), May 28-30, pp. 241-245, Yinchuan, China.

  12. Yang Tang, Self-Triggered Control of Uncertain Networked Systems under Packet Dropouts, IEEE International Conference on Industrial Technology (ICIT), Taibei, pp. 2138-2142, 2016.

  13. Yanling Liu, Xuebo Yang, Ben Niu, Yang Tang and Okyay Kaynak, Control of Stochastic Switched Nonlinear Systems with Average Dwell Time, 41st Annual Conference of the IEEE Industrial Electronics Society, November 9-12, 2015, Pacifico Yokohama, Yokohama, Japan.

  14. Yang Tang, Wei Du, Introducing Robustness in Controllability of Neuronal Networks, pp. 1309-1312, Proceedings of the 34th Chinese Control Conference, July 28-30, 2015, Hangzhou, China.

  15. Yang Tang, Huijun Gao, Synchronization of delayed networks under stochastic impulses, pp. 2736-2740, Proceedings of the 33rd Chinese Control Conference July 28-30, 2014, Nanjing, China.

  16. Yang Tang, Jürgen Kurths, Distributed synchronization of complex networks with multiple stochastic disturbances, pp. 104-107, the 20th edition of the International Conference on Nonlinear Dynamics of Electronic Systems, July 11-13, 2012, Wolfenbüttel, Germany.