WU, Junfeng (to join in Fall 2021)

Associate Professor

Education Background

Ph.D. Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology (HKUST), 2013

B.S. Department of Control Science and Engineering, Zhejiang University, 2009

Research Field
Cyber Security and Privacy, Optimization, Distributed Systems, Control Network Systems, Kalman Filtering, Signal Processing
Personal Website
Biography

Professor Junfeng Wu will join the Chinese University of Hong Kong Shenzhen in Fall 2021, as an Associate Professor. He received his BA in the Department of Control Science and Engineering from Zhejiang University in 2009. He got his Ph.D. in the Department of Electronic and Computer Engineering in 2013.

Professor Wu was a Research Associate in HKUST in 2013, and a Researcher in KTH from 2014 to 2017. From 2017 to 2021, he held a faculty position at Zhejiang University.

His research interest mainly focuses on cyber security and privacy, optimization, distributed systems, control network systems, Kalman filtering, and signal processing. He was honored with a few awards, In 2019, he received Japan JSPS Invitational Fellowship. In 2014, he was honored as an outstanding reviewer by IEEE Trans. Control of Network Systems and Automatica. In 2015, he was honored Guan Zhaozhi Best Paper Award of the 34th China Control Council (CCC2015). In 2016, he received Endeavour Research Fellowship from the Australian Government.

Academic Publications

JOURNAL PAPERS

[1] Yuqing Ni, Junfeng Wu, Li Li, and Ling Shi,“Multi-Party Dynamic State Estimation that Preserves Data and Model Privacy”, IEEE Transactions on Information Forensics and Security (Impact Factor 6.21), accepted, (regular paper). 

[2] Yuchi Wu, Junfeng Wu, Mingyi Huang, and Ling Shi, “Mean-Field Transmission Power Control in Dense Networks”, IEEE Transactions on Control of Network Systems (Impact Factor 3.47),  accepted, (regular paper).

[3] Takuya Iwaki, Junfeng Wu, Yuchi Wu, Henrik Sandberg, Karl H. Johansson, “Multi-hop Sensor Network Scheduling for Optimal Remote Estimation”, Automatica (Impact Factor 5.54), accepted, (regular paper).

[4] Lingying Huang, Jiazheng Wang, Enoch Kung, Yilin Mo, Junfeng Wu, and Ling Shi, “Stochastic Event-based Sensor Schedules for Remote State Estimation in Cognitive Radio Sensor Networks”, IEEE Transactions on Automatic Control (Impact Factor 5.63), accepted.

[5] Enoch Kung, Jiazheng Wang, Junfeng Wu, Dawei Shi, and Ling Shi, “On the Nonexistence of Event Triggers that preserve Gaussian State in Presence of Packet-Drop”, IEEE Transactions on Automatic Control (Impact Factor 5.63), accepted.

[6] Tao Yang, Jemin George, Jiahu Qin, Xinlei Yi, and Junfeng Wu, “Distributed Finite-time Least Squares Solver for Network Linear Equations”, Automatica (Impact Factor 5.54), accepted, (regular paper).

[7] Jiahu Qin, Weiming Fu, Junfeng Wu, Wei Xing Zheng, and Yu Kang, “Interval Consensus over Random Networks”, Automatica (Impact Factor 5.54), accepted.

[8] Yuan Huang, Junzheng Wang, Dawei Shi, Junfeng Wu, and Ling Shi, “Event-triggered Sampled-data Control: an Active Disturbance Rejection Approach”, IEEE/ASME Transactions on Mechatronics (Impact Factor 5.67), accepted, (regular paper).

[9] Tao Yang, Xinlei Yi, Junfeng Wu, Ye Yuan, Di Wu, Ziyang Meng, Yiguang Hong, Hong Wang, Zongli Lin, and Karl H Johansson, “A survey of Distributed Optimization”, Annual Reviews in Control (Impact Factor 4.99), vol. 47, pp. 278-305, 2019.

[10] Xinlei Yi, Tao Yang, Junfeng Wu, and Karl H. Johansson, “Distributed Event-Triggered Control for Global Consensus of Multi-Agent Systems with Input Saturation”, Automatica (Impact Factor 5.54), vol. 100, pp. 1-9, Feb., 2019, (regular paper).

[11] Junfeng Wu, Guodong Shi, Brian D. O. Anderson, and Karl H. Johansson, “Kalman Filtering over Fading Channels: Zero-One Laws and Almost Sure Stabilities”, IEEE Transactions on Information Theory (Impact Factor 3.04), vol. 64, pp. 6731-6742, Oct., 2018, (regular paper).

[12] Junfeng Wu, Guodong Shi, Brian D. O. Anderson, and Karl H. Johansson, “Kalman Filtering over Gilbert-Elliott Channels: Stability Conditions and the Critical Curve”, IEEE Transactions on Automatic Control (Impact Factor 5.63), vol. 64, pp. 1003-1017, Apr., 2018, (regular paper).

[13] Heng Zhang, Yifei Qi, Junfeng Wu, Lingkun Fu, and Lidong He, “DOS Attack Energy Management against Remote State Estimation”, IEEE Transactions on Control of Network Systems (Impact Factor 3.47), vol. 5, pp. 383-394, Mar. 2018.

[14] Xiaoqiang Ren, Junfeng Wu, Karl Henrik Johansson, Guodong Shi, and Ling Shi, “Infinite Horizon Optimal Transmission Power Control for Remote State Estimation over Fading Channels”, IEEE Transactions on Automatic Control (Impact Factor 5.63), vol. 63, pp. 85-100, Jan., 2018, (regular paper).

[15] Xiufang Shi, and Junfeng Wu, “To Hide Private Position Information in Localization Using Time Difference of Arrival”, IEEE Transactions on Signal Processing (Impact Factor 5.03), vol.66, issue.18, pp. 4946 - 4956, Sep., 2018, (regular paper).

[16] Bo Li, Junfeng Wu, Hongsheng Qi, Alexandre Proutiere, and Guodong Shi, “Boolean Gossiping Networks”, IEEE Transactions on Networking (Impact Factor 3.32), vol. 26, pp. 118-130, Feb., 2018, (regular paper).

[17] Xiaoqiang Ren, Junfeng Wu, Subhrakantim Dey, and Ling Shi, “Attack Allocation on Remote State Estimation in Multi-Systems: Structural Results and Asymptotic Solution”, Automatica (Impact Factor 5.54), vol. 87, pp. 184-194, Jan., 2018, (regular paper).

[18] Yuzhe Li, Junfeng Wu, and Tongwen Chen, “Transmit Power Control and Remote State Estimation with Sensor Networks: A Bayesian Inference Approach”, Automatica (Impact Factor 5.54), vol. 97. pp. 292-300, Nov., 2018.

[19] Duo Han, Junfeng Wu, Yilin Mo, and Lihua Xie, “On Stochastic Sensor Network Scheduling for Multiple Processes”, IEEE Transactions on Automatic Control (Impact Factor 5.63), vol. 62, pp. 6633-6640, Dec., 2017.

[20] Junfeng Wu, Tao Yang, Di Wu, Karanjit Kalsi, and Karl H. Johansson, “Distributed Optimal Dispatch for Distributed Energy Resources over Networks with Packet Drops”, IEEE Transactions on Smart Grid (Impact Factor 8.27), vol. 8, pp. 3125-3137, Jun., 2017, (regular paper).

[21] Tao Yang, Jie Lu, Di Wu, Junfeng Wu, Guodong Shi, Ziyang Meng, and Karl H. Johansson, “Distributed Algorithm for Economic Dispatch over Time-Varying Directed Networks with Delays”, IEEE Transactions on Industrial Electronics (Impact Factor 7.52), vol. 64, pp. 5095-5106, Jun., 2017, (regular paper).

[22] Junfeng Wu, Yuzhe Li, Daniel E. Quevedo, and Ling Shi, “Improved Results on Data-Driven Power Control for State Estimation”, Systems & Control Letters (Impact Factor 2.76), vol. 107, pp. 44-48, Sep., 2017.

[23] Duo Han, Junfeng Wu, Huanshui Zhang, and Ling Shi, “Optimal sensor scheduling for multiple linear dynamical systems”, Automatica (Impact Factor 5.54), vol. 75, pp. 260-270, Jan., 2017, (regular paper).

[24] Junfeng Wu, Ziyang Meng, Tao Yang, Guodong Shi, and Karl H. Johansson, “Sampled-data Consensus over Random Networks”, IEEE Transactions on Signal Processing (Impact Factor 5.03), vol. 61, no. 17, pp. 4479-4492, Sep., 2016, (regular paper).

[25] Duo Han, Yilin Mo, Junfeng Wu, and Ling Shi, “An Opportunistic Sensor Scheduling Solution to Remote State Estimation over Multiple Channels”, IEEE Transactions on Signal Processing (Impact Factor 5.03), vol. 64, no. 18, pp. 4905-4917, Sep., 2016, (regular paper).

[26] Junfeng Wu, Xiaoqiang Ren, Duo Han, Dawei Shi, and Ling Shi, “Finite-horizon Gaussianity-Preserving Event-based Sensor Scheduling in Kalman Filter Applications”, Automatica (Impact Factor 5.54), vol. 72, pp. 100-107, Oct., 2016.

[27] Duo Han, Keyou You, Lihua Xie, Junfeng Wu, and Ling Shi, “Optimal Parameter Estimation under Controlled Communication over Sensor Networks”, IEEE Transactions on Signal Processing (Impact Factor 5.03), vol.63, no.24, pp.6473-6485, Dec., 2015, (regular paper).

[28] Junfeng Wu, Ling Shi, Lihua Xie, and Karl H. Johansson, “An Improved Stability Condition for Kalman Filtering with Bounded Markovian Packet Losses”, Automatica (Impact Factor 5.54), vol. 62, pp. 32-38, Dec., 2015.

[29] Junfeng Wu, Yuzhe Li, Daniel E. Quevedo, Vincent Lau, and Ling Shi, “Data-driven Power Control for State Estimation: A Bayesian Inference Approach”, Automatica (Impact Factor 5.54), vol. 54, pp. 332-339, 2015.

[30] Chao Yang, Junfeng Wu, Xiaoqiang Ren, Wen Yang, Hongbo Shi, and Ling Shi, “Deterministic Sensor Scheduling for Centralized State Estimation under Limited Communication Resources”, IEEE Transactions on Signal Processing (Impact Factor 5.03), vol. 63, no.9, pp. 2336 - 2348, 2015, (regular paper).

[31] Duo Han, Yilin Mo, Junfeng Wu, Sean Weerakkody, Bruno Sinopoli, and Ling Shi, “Stochastic Event triggered Sensor Schedule for Remote State Estimation”, IEEE Transactions on Automatic Control (Impact Factor 5.63), vol. 60, issue 10, pp. 2661-2675, 2015, (regular paper).

[32] Junfeng Wu, Karl H. Johansson, and Ling Shi, “A Stochastic Online Sensor Scheduler for Remote State Estimation with Time-out Condition”, IEEE Transactions on Automatic Control (Impact Factor 5.63), vol. 59, no. 11, pp. 3110-3116, 2014.

[33] Junfeng Wu, Ye Yuan, Huanshui Zhang, and Ling Shi, “How Can Online Schedules Improve Communication and Estimation Tradeoff?”, IEEE Transactions on Signal Processing (Impact Factor 5.03), vol. 61, no. 7, pp. 1625-1631, 2013, (regular paper).

[34] Junfeng Wu, Qing-Shan Jia, Karl H. Johansson, and Ling Shi, “Event-based Sensor Data Scheduling: Trade-off Between Communication Rate and Estimation Quality”, IEEE Transactions on Automatic Control (Impact Factor 5.63), vol. 58, no. 4, pp. 1041-1046, 2013.

[35] Chao Yang, Junfeng Wu, Wei Zhang, and Ling Shi, “Schedule Communication for Decentralized State Estimation”, IEEE Transactions on Signal Processing (Impact Factor 5.03), vol. 61, no. 10, pp. 2525-2535, 2013, (regular paper).

 

SELECTED PEER-REVIEWED CONFERENCE PAPERS

[1] Yan Leng, Xiaowen Dong, Junfeng Wu, Alex Pentland, “Learning Quadratic Games on Networks”, The 37th International Conference on Machine Learning (ICML 2020), accepted.

[2] Jieqiang Wei, Ehsan Nekouei, Junfeng Wu, Vladimir Cvetkovic, Karl H. Johansson, “Steady-state Analysis of a Human-social Behavior Model: a Neural-cognition Perspective”, 2019 American Control Conference (ACC), July 10-12, 2019.

[3] Kam Fai Elvis Tsang, Junfeng Wu, Ling Shi, “Zeno-Free Stochastic Distributed Event-Triggered Consensus Control for Multi-Agent Systems”, 2019 American Control Conference (ACC), July 10-12, 2019.

[4] Yang Liu, Junfeng Wu, Ian R. Manchester, and Guodong Shi, “Gossip Algorithms that Preserve Privacy for Distributed Computation Part II: Performance Against Eavesdroppers”, The 2018 IEEE Conference on Decision and Control, Miami, USA, 2018.

[5] Yang Liu, Junfeng Wu, Ian R. Manchester, and Guodong Shi, “Gossip Algorithms that Preserve Privacy for Distributed Computation Part I: The Algorithms and Convergence Conditions”, The 2018 IEEE Conference on Decision and Control, Miami, USA, 2018.

[6] Takuya Iwaki, Junfeng Wu, and Karl Henrik Johansson, “Event-triggered Feedforward Control subject to Actuator Saturation for Disturbance Compensation”, The 2018 European Control Conference, Limassol, Cyprus, 2018.

[7] Jieqiang Wei, Christos Verginis, Junfeng Wu, Dimos V Dimarogonas, Henrik Sandberg, and Karl H Johansson, “Asymptotic and finite-time almost global attitude tracking: representations free approach”, Limassol, Cyprus, 2018.

[8] Yuchi Wu, Takuya Iwaki, Junfeng Wu, Karl Henrik Johansson, and Ling Shi, “Sensor selection and routing design for state estimation over wireless sensor networks”, The 36th Chinese Control Conference, Dalian, China, 2017.

[9] Takuya Iwaki, Yuchi Wu, Junfeng Wu, Henrik Sandberg, and Karl Henrik Johansson, “Wireless sensor network scheduling for remote estimation under energy constraints”, The 56th IEEE Conference on Decision and Control, Melbourne, Australia, 2017.

[10] Enoch Kung, Junfeng Wu, Dawei Shi, and Ling Shi, “On the nonexistence of event-based triggers that preserve Gaussian state in presence of package-drop”, American Control Conference, Seattle, USA, 2017.

[11] Heng Zhang, Yifei Qi, and Junfeng Wu, “Optimal jamming power allocation against remote state estimation”, American Control Conference, Seattle, USA, 2017.

[12] Duo Han, Junfeng Wu, Yilin Mo, and Lihua Xie, “Stochastic Sensor Scheduling for Multiple Dynamical Processes over a Shared Channel”, The 55th IEEE Conference on Decision and Control, Las Vegas, USA, 2016.

[13] Junfeng Wu, Ziyang Meng, Tao Yang, Guodong Shi, and Karl H. Johansson, “Critical Sampling Rate for Sampled-Data Consensus over Random Networks”, The 54th IEEE Conference on Decision and Control, Osaka, Japan, 2015.

[14] Duo Han, Keyou You, Lihua Xie, Junfeng Wu, and Ling Shi “Stochastic Packet Scheduling for Optimal Parameter Estimation”, The 54th IEEE Conference on Decision and Control, Osaka, Japan, 2015.

[15] Junfeng Wu, Guodong Shi, Brain D. O. Anderson, and Karl H. Johansson, “Stability Conditions and Phase Transition for Kalman Filtering over Markovian Channel”, The 34th Chinese Control Conference, Hangzhou, China, 2015. (Guan Zhao-Zhi Best Paper Award).

[16] Junfeng Wu, and Karl H. Johansson, “Peak Covariance Stability of Kalman Filtering with Markovian Packet Losses”, The 2nd IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, Hong Kong, 2014.

[17] Junfeng Wu, Guodong Shi, and Karl H. Johansson, “Probabilistic Convergence of Kalman Filtering over Nonstationary Fading Channel”, The 53rd IEEE Conference on Decision and Control, Los Angeles, USA, 2014.

[18] Heng Zhang, Peng Cheng, Junfeng Wu, and Jiming Chen, “Online Deception Attack Against Remote State Estimation”, The 19th IFAC World Congress, Cape Town, South Africa, 2014.

[19] Duo Han, Yilin Mo, Junfeng Wu, Bruno Sinopoli, and Ling Shi, “Stochastic Event-triggered Sensor Scheduling for Remote State Estimation”, The 52nd IEEE Conference on Decision and Control, Florence, Italy, 2013.

[20] Junfeng Wu, Yilin Mo, and Ling Shi, Stochastic Online Sensor Scheduler for Remote State Estimation, The 1st IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, Taipei, 2013.

[21] Junfeng Wu, Karl H. Johansson, and Ling Shi, “An Improved Hybrid Sensor Schedule for Remote State Estimation under Limited Communication Resources”, The 51st IEEE Conference on Decision and Control, Maui, USA, 2012.

[22] Chao Yang, Junfeng Wu, Wei Zhang, and Ling Shi, “Communication Scheduling for Decentralized State Estimation”, The 12th International Conference on Control, Automation, Robotics and Vision, Guangzhou, China, 2012.

[23] Chao Yang, Junfeng Wu, Wei Zhang, and Ling Shi, “Communication Topology Design under Limited Bandwidth”, The 20th International Symposium on Mathematical Theory of Networks and Systems, Melbourne, Australia, 2012.

[24] Junfeng Wu, Lihua Xie, and Ling Shi, “An Innovative Packet-Splitting Approach for Kalman Filtering over Lossy Networks”, The American Control Conference, San Francisco, USA, 2011.