Publications

2025

  1. SonarSweep: Fusing Sonar and Vision for Robust 3D Reconstruction via Plane Sweeping.
    By Chen, L., Tang, J., Chui, A.P.-Y., Hong, Z. and Wu, J.
    2025.

  2. Spatiotemporal Calibration of Doppler Velocity Logs for Underwater Robots.
    By Zhao, H., Zeng, G., Shao, Y., Zhang, T. and Wu, J.
    2025.

  3. Supervisory Measurement-Guided Noise Covariance Estimation.
    By Li, H., Peng, Y. and Wu, J.
    2025.

  4. GeVI-SLAM: Gravity-Enhanced Stereo Visua Inertial SLAM for Underwater Robots.
    By Shen, Y., Hong, Y., Zeng, G., Zhang, T., Chui, P.Y., Hong, Z. and Wu, J.
    2025.

  5. Stealthy Backdoor Attack in Reinforcement Learning via Bi-level Optimization.
    In Conference on Robot Learning, safe-ROL workshop, 2025.

  6. Bias-Eliminated PnP for Stereo Visual Odometry: Provably Consistent and Large-Scale Localization.
    By Zeng, G., Shen, Y., Hong, Z., Hong, Y., Ila, V., Shi, G. and Wu, J.
    In IEEE Robotics and Automation Letters, vol. 10, no. 11, pp. 11840–11847, 2025.

  7. Consistent and Optimal Solution to Camera Motion Estimation.
    By Zeng, G., Zeng, Q., Li, X., Mu, B., Chen, J., Shi, L. and Wu, J.
    In IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

  8. Online Reward Poisoning in Reinforcement Learning With Convergence Guarantee.
    By Li, J., Zhang, B., Niu, Y., Wu, S., Ding, K. and Wu, J.
    In IEEE Transactions on Information Forensics and Security, vol. 20, pp. 8891–8905, 2025.

  9. Fully Distributed State Estimation for Multi-agent Systems and its Application in Cooperative Localization.
    By Huang, S., Jiang, H., Zhao, C., Cheng, P. and Wu, J.
    In arXiv preprint arXiv:2509.18292, 2025.

  10. BESTAnP: Bi-Step Efficient and Statistically Optimal Estimator for Acoustic-n-Point Problem.
    By Sheng, W., Zhao, H., Chen, L., Zeng, G., Shao, Y., Hong, Y., Yang, C., Hong, Z. and Wu, J.
    In IEEE Robotics and Automation Letters, vol. 10, no. 6, pp. 5313–5320, 2025.

  11. Clock Synchronization With Unknown and Unmodeled Disturbances Over Distributed Networks.
    By Fang, K., Chen, J. and Wu, J.
    In IEEE Transactions on Control of Network Systems, vol. 12, no. 1, pp. 262–274, 2025.

  12. Error Dynamics in Affine Group Systems.
    By Li, X., Chen, J., Zhang, H., Wei, J. and Wu, J.
    In IEEE Transactions on Automatic Control, vol. 70, no. 4, pp. 2607–2614, 2025.

  13. Bilateral Differentially Private Vertical Federated Boosted Decision Trees.
    By Zhang, B., Zhang, Z., Jiang, H., Liu, Y., Zheng, L., Zhou, Y., Huang, S. and Wu, J.
    2025.

  14. AquaticVision: Benchmarking Visual SLAM in Underwater Environment with Events and Frames.
    By Peng, Y., Hong, Y., Hong, Z., Chui, A.P.-Y. and Wu, J.
    In 2025 IEEE International Conference on Robotics and Automation (ICRA) Field Robotics Workshop, 2025.

  15. SCORE: Saturated Consensus Relocalization in Semantic Line Maps.
    By Jiang, H., Zheng, X., Zhang, Y., Zeng, Q., Li, Y., Hong, Z. and Wu, J.
    In 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025.

  16. Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem.
    By Li, J., Pu, S., Chen, J. and Wu, J.
    In 2025 64th IEEE Conference on Decision and Control (CDC), 2025.

  17. Distributed Invariant Kalman Filter for Object-Level Multi-Robot Pose SLAM.
    By Li, H., Zeng, Q., Li, H., Zhang, Y. and Wu, J.
    In 2025 IEEE International Conference on Robotics and Automation (ICRA), pp. 15835–15841, 2025.

2024

  1. Small-gain criteria for mean-square stability of random delay systems.
    By Chen, J., Wu, J. and Chen, J.
    In Automatica, vol. 166, p. 111701, 2024.

  2. SLAM-Based Joint Calibration of Multiple Asynchronous Microphone Arrays and Sound Source Localization.
    By Wang, J., He, Y., Su, D., Itoyama, K., Nakadai, K., Wu, J., Huang, S., Li, Y. and Kong, H.
    In IEEE Transactions on Robotics, vol. 40, pp. 4024–4044, 2024.

  3. Differential Privacy in Distributed Optimization With Gradient Tracking.
    By Huang, L., Wu, J., Shi, D., Dey, S. and Shi, L.
    In IEEE Transactions on Automatic Control, vol. 69, no. 9, pp. 5727–5742, 2024.

  4. Consistent and Asymptotically Efficient Localization From Range- Difference Measurements.
    By Zeng, G., Mu, B., Shi, L., Chen, J. and Wu, J.
    In IEEE Transactions on Information Theory, vol. 70, no. 4, pp. 3032–3045, 2024.

  5. Plug-and-Play Distributed Estimation of Driving States in an Open Vehicle Platoon.
    By Huang, S., Zhao, C., Huang, L., Cheng, P., Wu, J. and Cai, L.
    In IEEE Transactions on Industrial Informatics, vol. 20, no. 4, pp. 5328–5338, 2024.

  6. S2NeRF: Privacy-preserving Training Framework for NeRF.
    By Zhang, B., Zhang, Y., Zhang, Z., Yang, J., Huang, L. and Wu, J.
    In Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, pp. 258–272, 2024.

  7. Online Poisoning Attack Against Reinforcement Learning under Black-box Environments.
    By Li, J., Zhang, B. and Wu, J.
    2024.

  8. Consistent Rigid Body Localization from Range Measurements with Anchor Position Uncertainty.
    By Zhao, H., Zeng, G., Jiang, H., Ren, X., Yang, W. and Wu, J.
    In 2024 IEEE 63rd Conference on Decision and Control (CDC), pp. 4220–4226, 2024.

  9. Covariance Intersection-based Invariant Kalman Filtering for Distributed Pose Estimation.
    By Li, H., Li, X., Huang, S., Yang, C. and Wu, J.
    In 2024 IEEE 63rd Conference on Decision and Control (CDC), pp. 1993–1998, 2024.

2023

  1. On embeddings and inverse embeddings of input design for regularized system identification.
    By Mu, B., Chen, T., Kong, H., Jiang, B., Wang, L. and Wu, J.
    In Automatica, vol. 147, p. 110673, 2023.

  2. Inducing Desired Equilibrium in Taxi Repositioning Problem with Adaptive Incentive Design.
    By Li, J., Niu, Y., Li, S., Li, Y., Xu, J. and Wu, J.
    In 2023 62nd IEEE Conference on Decision and Control (CDC), pp. 8075–8080, 2023.

  3. Efficient Planar Pose Estimation via UWB Measurements.
    By Jiang, H., Wang, W., Shen, Y., Li, X., Ren, X., Mu, B. and Wu, J.
    In 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 1954–1960, 2023.

  4. CPnP: Consistent Pose Estimator for Perspective-n-Point Problem with Bias Elimination.
    By Zeng, G., Chen, S., Mu, B., Shi, G. and Wu, J.
    In 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 1940–1946, 2023.

  5. Estimating a scalar log-concave random variable, using a silence set based probabilistic sampling.
    By Rabi, M., Wu, J., Singh, V. and Johansson, K.H.
    In arXiv preprint arXiv:2303.04584, 2023.

2022

  1. Global and Asymptotically Efficient Localization From Range Measurements.
    By Zeng, G., Mu, B., Chen, J., Shi, Z. and Wu, J.
    In IEEE Transactions on Signal Processing, vol. 70, pp. 5041–5057, 2022.

  2. Closed-Form Error Propagation on SE_n(3) Group for Invariant EKF With Applications to VINS.
    By Li, X., Jiang, H., Chen, X., Kong, H. and Wu, J.
    In IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 10705–10712, 2022.

  3. Localizability With Range-Difference Measurements: Numerical Computation and Error Bound Analysis.
    By Zeng, G., Mu, B., Wei, J., Wong, W.S. and Wu, J.
    In IEEE/ACM Transactions on Networking, vol. 30, no. 5, pp. 2117–2130, 2022.

  4. Event-triggered distributed estimation with decaying communication rate.
    By He, X., Xing, Y., Wu, J. and Johansson, K.H.
    In SIAM Journal on Control and Optimization, vol. 60, no. 2, pp. 992–1017, 2022.

  5. Low-complexity distributed detection with one-bit memory under Neyman–Pearson criterion.
    By Zeng, G., Ren, X. and Wu, J.
    In IEEE Transactions on Control of Network Systems, vol. 9, no. 1, pp. 2–13, 2022.

  6. Joint Sensor and Actuator Placement for Infinite-Horizon LQG Control.
    By Huang, L., Wu, J., Mo, Y. and Shi, L.
    In IEEE Transactions on Automatic Control, vol. 67, no. 1, pp. 398–405, 2022.

  7. Closed-Form Error Propagation on SE_n(3) Group for Invariant EKF With Applications to VINS.
    By Li, X., Jiang, H., Chen, X., Kong, H. and Wu, J.
    In IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 10705–10712, 2022.

2021

  1. Multi-Party Dynamic State Estimation That Preserves Data and Model Privacy.
    By Ni, Y., Wu, J., Li, L. and Shi, L.
    In IEEE Transactions on Information Forensics and Security, vol. 16, pp. 2288–2299, 2021.

  2. Minimum-Degree Distributed Graph Filter Design.
    By Ding, K., Wu, J. and Xie, L.
    In IEEE Transactions on Signal Processing, vol. 69, pp. 1083–1096, 2021.

  3. Mean-Field Transmission Power Control in Dense Networks.
    By Wu, Y., Wu, J., Huang, M. and Shi, L.
    In IEEE Transactions on Control of Network Systems, vol. 8, no. 1, pp. 99–110, 2021.

2020

  1. Learning quadratic games on networks.
    By Leng, Y., Dong, X., Wu, J. and Pentland, A.
    In International Conference on Machine Learning, pp. 5820–5830, 2020.

2019

  1. Event-Triggered Sampled-Data Control: An Active Disturbance Rejection Approach.
    By Huang, Y., Wang, J., Shi, D., Wu, J. and Shi, L.
    In IEEE/ASME Transactions on Mechatronics, vol. 24, no. 5, pp. 2052–2063, 2019.

  2. A survey of distributed optimization.
    By Yang, T., Yi, X., Wu, J., Yuan, Y., Wu, D., Meng, Z., Hong, Y., Wang, H., Lin, Z. and Johansson, K.H.
    In Annual Reviews in Control, vol. 47, pp. 278–305, 2019.

  3. Distributed event-triggered control for global consensus of multi-agent systems with input saturation.
    By Yi, X., Yang, T., Wu, J. and Johansson, K.H.
    In Automatica, vol. 100, pp. 1–9, 2019.

  4. Steady-state analysis of a human-social behavior model: a neural-cognition perspective.
    By Wei, J., Nekouei, E., Wu, J., Cvetkovic, V. and Johansson, K.H.
    In 2019 American Control Conference (ACC), pp. 199–204, 2019.

  5. Zeno-free stochastic distributed event-triggered consensus control for multi-agent systems.
    By Tsang, K.F.E., Wu, J. and Shi, L.
    In 2019 American Control Conference (ACC), pp. 778–783, 2019.

2018

  1. Kalman filtering over fading channels: Zero–one laws and almost sure stabilities.
    By Wu, J., Shi, G., Anderson, B.D.O. and Johansson, K.H.
    In IEEE Transactions on Information Theory, vol. 64, no. 10, pp. 6731–6742, 2018.

  2. To hide private position information in localization using time difference of arrival.
    By Shi, X. and Wu, J.
    In IEEE Transactions on Signal Processing, vol. 66, no. 18, pp. 4946–4956, 2018.

  3. Attack allocation on remote state estimation in multi-systems: Structural results and asymptotic solution.
    By Ren, X., Wu, J., Dey, S. and Shi, L.
    In Automatica, vol. 87, pp. 184–194, 2018.

  4. Transmit power control and remote state estimation with sensor networks: A Bayesian inference approach.
    By Li, Y., Wu, J. and Chen, T.
    In Automatica, vol. 97, pp. 292–300, 2018.

  5. Gossip algorithms that preserve privacy for distributed computation Part II: Performance against eavesdroppers.
    By Liu, Y., Wu, J., Manchester, I.R. and Shi, G.
    In 2018 IEEE Conference on Decision and Control (CDC), pp. 5346–5351, 2018.

  6. Gossip algorithms that preserve privacy for distributed computation part I: The algorithms and convergence conditions.
    By Liu, Y., Wu, J., Manchester, I.R. and Shi, G.
    In 2018 IEEE Conference on Decision and Control (CDC), pp. 4499–4504, 2018.

  7. Event-triggered feedforward control subject to actuator saturation for disturbance compensation.
    By Iwaki, T., Wu, J. and Johansson, K.H.
    In 2018 European Control Conference (ECC), pp. 501–506, 2018.

  8. Asymptotic and finite-time almost global attitude tracking: representations free approach.
    By Wei, J., Verginis, C., Wu, J., Dimarogonas, D.V., Sandberg, H. and Johansson, K.H.
    In 2018 European Control Conference (ECC), pp. 3126–3131, 2018.

2017

  1. On the nonexistence of event-based triggers that preserve Gaussian state in presence of package-drop.
    By Kung, E., Wu, J., Shi, D. and Shi, L.
    In 2017 American Control Conference (ACC), pp. 1233–1237, 2017.

  2. Kalman filtering over Gilbert–Elliott channels: Stability conditions and critical curve.
    By Wu, J., Shi, G., Anderson, B.D.O. and Johansson, K.H.
    In IEEE Transactions on Automatic Control, vol. 63, no. 4, pp. 1003–1017, 2017.

  3. Infinite horizon optimal transmission power control for remote state estimation over fading channels.
    By Ren, X., Wu, J., Johansson, K.H., Shi, G. and Shi, L.
    In IEEE Transactions on Automatic Control, vol. 63, no. 1, pp. 85–100, 2017.

  4. Boolean gossip networks.
    By Li, B., Wu, J., Qi, H., Proutiere, A. and Shi, G.
    In IEEE/ACM Transactions on Networking, vol. 26, no. 1, pp. 118–130, 2017.

  5. On stochastic sensor network scheduling for multiple processes.
    By Han, D., Wu, J., Mo, Y. and Xie, L.
    In IEEE Transactions on Automatic Control, vol. 62, no. 12, pp. 6633–6640, 2017.

  6. Distributed optimal dispatch of distributed energy resources over lossy communication networks.
    By Wu, J., Yang, T., Wu, D., Kalsi, K. and Johansson, K.H.
    In IEEE Transactions on Smart Grid, vol. 8, no. 6, pp. 3125–3137, 2017.

  7. Optimal sensor scheduling for multiple linear dynamical systems.
    By Han, D., Wu, J., Zhang, H. and Shi, L.
    In Automatica, vol. 75, pp. 260–270, 2017.

  8. Sensor selection and routing design for state estimation over wireless sensor networks.
    By Wu, Y., Iwaki, T., Wu, J., Johansson, K.H. and Shi, L.
    In 2017 36th Chinese Control Conference (CCC), pp. 8008–8013, 2017.

  9. Wireless sensor network scheduling for remote estimation under energy constraints.
    By Iwaki, T., Wu, Y., Wu, J., Sandberg, H. and Johansson, K.H.
    In 2017 IEEE 56th Annual Conference on Decision and Control (CDC), pp. 3362–3367, 2017.

  10. On the nonexistence of event-based triggers that preserve gaussian state in presence of package-drop.
    By Kung, E., Wu, J., Shi, D. and Shi, L.
    In 2017 American Control Conference (ACC), pp. 1233–1237, 2017.

  11. Optimal jamming power allocation against remote state estimation.
    By Zhang, H., Qi, Y. and Wu, J.
    In 2017 American Control Conference (ACC), pp. 1660–1665, 2017.

2016

  1. DoS attack energy management against remote state estimation.
    By Zhang, H., Qi, Y., Wu, J., Fu, L. and He, L.
    In IEEE Transactions on Control of Network Systems, vol. 5, no. 1, pp. 383–394, 2016.

  2. A distributed algorithm for economic dispatch over time-varying directed networks with delays.
    By Yang, T., Lu, J., Wu, D., Wu, J., Shi, G., Meng, Z. and Johansson, K.H.
    In IEEE Transactions on Industrial Electronics, vol. 64, no. 6, pp. 5095–5106, 2016.

  3. Sampled-data consensus over random networks.
    By Wu, J., Meng, Z., Yang, T., Shi, G. and Johansson, K.H.
    In IEEE Transactions on Signal Processing, vol. 64, no. 17, pp. 4479–4492, 2016.

  4. An opportunistic sensor scheduling solution to remote state estimation over multiple channels.
    By Han, D., Mo, Y., Wu, J. and Shi, L.
    In IEEE Transactions on Signal Processing, vol. 64, no. 18, pp. 4905–4917, 2016.

  5. Finite-horizon Gaussianity-preserving event-based sensor scheduling in Kalman filter applications.
    By Wu, J., Ren, X., Han, D., Shi, D. and Shi, L.
    In Automatica, vol. 72, pp. 100–107, 2016.

  6. Stochastic sensor scheduling for multiple dynamical processes over a shared channel.
    By Han, D., Wu, J., Mo, Y. and Xie, L.
    In 2016 IEEE 55th Conference on Decision and Control (CDC), pp. 6315–6320, 2016.

2015

  1. Data-driven power control for state estimation: A Bayesian inference approach.
    By Wu, J., Li, Y., Quevedo, D.E., Lau, V. and Shi, L.
    In Automatica, vol. 54, pp. 332–339, 2015.

  2. Optimal parameter estimation under controlled communication over sensor networks.
    By Han, D., You, K., Xie, L., Wu, J. and Shi, L.
    In IEEE Transactions on Signal Processing, vol. 63, no. 24, pp. 6473–6485, 2015.

  3. An improved stability condition for Kalman filtering with bounded Markovian packet losses.
    By Wu, J., Shi, L., Xie, L. and Johansson, K.H.
    In Automatica, vol. 62, pp. 32–38, 2015.

  4. Data-driven power control for state estimation: A Bayesian inference approach.
    By Wu, J., Li, Y., Quevedo, D.E., Lau, V. and Shi, L.
    In Automatica, vol. 54, pp. 332–339, 2015.

  5. Deterministic sensor selection for centralized state estimation under limited communication resource.
    By Yang, C., Wu, J., Ren, X., Yang, W., Shi, H. and Shi, L.
    In IEEE transactions on signal processing, vol. 63, no. 9, pp. 2336–2348, 2015.

  6. Stochastic event-triggered sensor schedule for remote state estimation.
    By Han, D., Mo, Y., Wu, J., Weerakkody, S., Sinopoli, B. and Shi, L.
    In IEEE Transactions on Automatic Control, vol. 60, no. 10, pp. 2661–2675, 2015.

  7. Critical sampling rate for sampled-data consensus over random networks.
    By Wu, J., Meng, Z., Yang, T., Shi, G. and Johansson, K.H.
    In 2015 54th IEEE Conference on Decision and Control (CDC), pp. 412–417, 2015.

  8. Stochastic packet scheduling for optimal parameter estimation.
    By Han, D., You, K., Xie, L., Wu, J. and Shi, L.
    In 2015 54th IEEE Conference on Decision and Control (CDC), pp. 3057–3062, 2015.

  9. Stability conditions and phase transition for Kalman filtering over Markovian channels.
    By Wu, J., Shi, G., Anderson, B.D.O. and Johansson, K.H.
    In 2015 34th Chinese Control Conference (CCC), pp. 6721–6728, 2015.

2014

  1. A stochastic online sensor scheduler for remote state estimation with time-out condition.
    By Wu, J., Johansson, K.H. and Shi, L.
    In IEEE Transactions on Automatic Control, vol. 59, no. 11, pp. 3110–3116, 2014.

  2. Peak covariance stability of Kalman filtering with Markovian packet losses.
    By Wu, J. and Johansson, K.H.
    In 2014 IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, pp. 13–18, 2014.

  3. Probabilistic Convergence of Kalman Filtering over Nonstationary Fading Channels.
    By Wu, J., Shi, G. and Johansson, K.H.
    In The 53rd IEEE Conference on Decision and Control, 15-17 Dec. 2014, Los Angeles, CA, pp. 3783–3788, 2014.

  4. Online deception attack against remote state estimation.
    By Zhang, H., Cheng, P., Wu, J., Shi, L. and Chen, J.
    In IFAC Proceedings Volumes, vol. 47, no. 3, pp. 128–133, 2014.

2013

  1. How can online schedules improve communication and estimation tradeoff?
    By Wu, J., Yuan, Y., Zhang, H. and Shi, L.
    In IEEE Transactions on Signal Processing, vol. 61, no. 7, pp. 1625–1631, 2013.

  2. Schedule communication for decentralized state estimation.
    By Yang, C., Wu, J., Zhang, W. and Shi, L.
    In IEEE Transactions on Signal Processing, vol. 61, no. 10, pp. 2525–2535, 2013.

  3. Stochastic event-triggered sensor scheduling for remote state estimation.
    By Han, D., Mo, Y., Wu, J., Sinopoli, B. and Shi, L.
    In 52nd IEEE conference on decision and control, pp. 6079–6084, 2013.

  4. Stochastic online sensor scheduler for remote state estimation.
    By Wu, J., Mo, Y. and Shi, L.
    In 2013 IEEE 1st International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA), pp. 84–89, 2013.

2012

  1. Event-based sensor data scheduling: Trade-off between communication rate and estimation quality.
    By Wu, J., Jia, Q.-S., Johansson, K.H. and Shi, L.
    In IEEE Transactions on automatic control, vol. 58, no. 4, pp. 1041–1046, 2012.

  2. An improved hybrid sensor schedule for remote state estimation under limited communication resources.
    By Wu, J., Johansson, K.H. and Shi, L.
    In 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), pp. 3305–3310, 2012.

  3. Communication scheduling for decentralized state estimation.
    By Yang, C., Wu, J., Shi, L. and Zhang, W.
    In 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV), pp. 536–541, 2012.

  4. Communication Topology Design under Limited Bandwidth.
    By Yang, C., Wu, J., Zhang, W. and Shi, L.
    In The 20th International Symposium on Mathematical Theory of Networks and Systems, Melbourne, 2012.

2011

  1. An innovative packet-splitting approach for kalman filtering over lossy networks.
    By Wu, J., Shi, L. and Xie, L.
    In Proceedings of the 2011 American Control Conference, pp. 1106–1111, 2011.