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Rui Tan's publication list
(chronologically or subjectwise)

Quick links:
Topic 1: CPS/IoT system functions
Topic 2: CPS/IoT applications
Topic 3: Cybersecurity of smart grids and control systems

Names underlined are students, research staff, visiting students who worked directly with me in my group for the publication. Names dash-dotted are research students with me as co-advisor.

Topic 1: CPS/IoT system functions (time, location/co-location, deep learning, liveness, networking, in-network processing, fusion-based sensing, etc)
  • Time

    1. Attack-Aware Synchronization-Free Data Timestamping in LoRaWAN.
      Chaojie Gu, Linshan Jiang, Rui Tan, Mo Li, Jun Huang.
      ACM Transactions on Sensor Networks (TOSN). Vol. 18, No. 1, October 2021.
      [preprint]

    2. A Schedule Randomization Policy to Mitigate Timing Attacks in WirelessHART Networks.
      Ankita Samaddar, Arvind Easwaran, Rui Tan.
      Springer Real-Time Systems. https://doi.org/10.1007/s11241-020-09354-z

    3. Resilience Bounds of Network Clock Synchronization with Fault Correction.
      Linshan Jiang, Rui Tan, Arvind Easwaran.
      ACM Transactions on Sensor Networks (TOSN). September 2020, Article No. 38.
      [preprint]

    4. Attack-Aware Data Timestamping in Low-Power Synchronization-Free LoRaWAN.
      Chaojie Gu, Linshan Jiang, Rui Tan, Mo Li, Jun Huang.
      The 40th IEEE International Conference on Distributed Computing Systems (ICDCS), July 8-10, 2020, Singapore. (Acceptance ratio: 105/584=18%)
      [pdf] [video presentation] [a related poster]

    5. Resilient Clock Synchronization using Power Grid Voltage.
      Dima Rabadi, Rui Tan, David Yau, Sreejaya Viswanathan, Hao Zheng, Peng Cheng.
      ACM Transactions on Cyber-Physical Systems (TCPS). Aug 2019, Article No. 31.
      [preprint]

    6. Wearables Clock Synchronization Using Skin Electric Potentials.
      Zhenyu Yan, Rui Tan, Yang Li, Jun Huang.
      IEEE Transactions on Mobile Computing (TMC). Vol. 18, No. 12, Dec 2019.
      [preprint] [appendices]

    7. Resilience Bounds of Sensing-Based Network Clock Synchronization.
      Rui Tan, Linshan Jiang, Arvind Easwaran, Jothi Prasanna Shanmuga Sundaram.
      The 24th IEEE International Conference on Parallel and Distributed Systems (ICPADS), December 11-13, 2018, Sentosa, Singapore.
      [pdf] [slides]

    8. Natural Timestamps in Powerline Electromagnetic Radiation.
      Yang Li, Rui Tan*, David Yau.
      ACM Transactions on Sensor Networks (TOSN). Vol. 14, No. 2, July 2018.
      * Corresponding author.
      [preprint]

    9. Exploiting Electrical Grid for Accurate and Secure Clock Synchronization.
      Sreejaya Viswanathan, Rui Tan*, David Yau.
      ACM Transactions on Sensor Networks (TOSN). Vol. 14, No. 2, July 2018.
      * Corresponding author.
      [preprint]

    10. Application-Layer Clock Synchronization for Wearables Using Skin Electric Potentials Induced by Powerline Radiation.
      Zhenyu Yan, Yang Li, Rui Tan, Jun Huang.
      The 15th ACM Conference on Embedded Networked Sensor Systems (SenSys), November 5-8, 2017, Delft, The Netherlands. (Acceptance ratio: 26/151=17%)
      [pdf] [slides]

    11. Natural Timestamping Using Powerline Electromagnetic Radiation.
      Yang Li, Rui Tan*, David Yau.
      The 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), April 18-21, 2017, Pittsburgh, PA, USA. (Acceptance ratio: 19/104=18%). CPS Week 2017.
      * Corresponding author.
      Best Paper Award
      [pdf] [slides] [a related demo]

    12. Taming Asymmetric Network Delays for Clock Synchronization using Power Grid Voltage.
      Dima Rabadi, Rui Tan, David Yau, Sreejaya Viswanathan.
      The 12th ACM Asia Conference on Computer and Communications Security (ASIACCS), April 2-6, 2017, Abu Dhabi, UAE. (Acceptance ratio: 67/359=18.6%).
      [pdf] [a related poster]

    13. Exploiting Power Grid for Accurate and Secure Clock Synchronization in Industrial IoT.
      Sreejaya Viswanathan, Rui Tan*, David Yau.
      The 37th IEEE Real-Time Systems Symposium (RTSS), November 29 - December 2, 2016, Porto Portugal. (Acceptance ratio: 32/137=23%).
      * Corresponding author.
      [pdf] [slides]

  • Location / co-location

    1. Orientation-Aware 3D SLAM in Alternating Magnetic Field from Powerlines.
      Rongrong Wang, Rui Tan, Zhenyu Yan, Chris Xiaoxuan Lu.
      Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT).
      The ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), October 5-9, 2024, Melbourne, Australia.
      [pdf]

    2. Indoor Smartphone SLAM with Acoustic Echoes.
      Wenjie Luo, Qun Song, Zhenyu Yan, Rui Tan, Guosheng Lin.
      IEEE Transactions on Mobile Computing (TMC). In press.
      [preprint] [appendix]

    3. Interpersonal Distance Tracking with mmWave Radar and IMUs.
      Yimin Dai, Xian Shuai, Rui Tan, Guoliang Xing.
      The 22nd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), May 9-12, 2023, San Antonio, Texas, USA. (Acceptance ratio: 22/83=26.5%) CPS-IoT Week 2023.
      [pdf]

    4. Indoor Smartphone SLAM with Learned Echoic Location Features.
      Wenjie Luo, Qun Song, Zhenyu Yan, Rui Tan, Guosheng Lin.
      The 20th ACM Conference on Embedded Networked Sensor Systems (SenSys), Nov 6-9, 2022, Boston, USA. (Acceptance ratio: 52/208=25%)
      [pdf]

    5. Demo Abstract: 3D Simultaneous Localization and Mapping with Power Network Electromagnetic Radiation.
      Rongrong Wang, Zhenyu Yan, Yuting Wu, Rui Tan, Chris Xiaoxuan Lu.
      The 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), May 4-6, 2022, Milan, Italy.
      [abstract] [video demo]

    6. ILLOC: In-Hall Localization with Standard LoRaWAN Uplink Frames.
      Dongfang Guo, Chaojie Gu, Linshan Jiang, Wenjie Luo, Rui Tan.
      Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT).
      The ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), September 11-15, 2022, Atlanta, USA and Cambridge, UK.
      [pdf]

    7. Demo Abstract: Infrastructure-Free Smartphone Indoor Localization Using Room Acoustic Responses.
      Dongfang Guo, Wenjie Luo; Chaojie Gu; Yuting Wu; Qun Song; Zhenyu Yan; Rui Tan.
      The 19th ACM Conference on Embedded Networked Sensor Systems (SenSys), November 15-17, 2021, Coimbra, Portugal.
      [abstract] [video demo]

    8. Touch-to-Access Device Authentication for Indoor Smart Objects.
      Zhenyu Yan, Qun Song, Rui Tan.
      IEEE Transactions on Mobile Computing (TMC). Vol. 22, No. 2, February 2023.
      [preprint]

    9. Covert Device Association among Colluding Apps via Edge Processor Workload.
      Hangtai Li, Yingbo Liu, Rui Tan.
      IEEE Internet of Things Journal. Vol. 7, No. 11, November 2020.
      [preprint]

    10. Towards Touch-to-Access Device Authentication Using Induced Body Electric Potentials.
      Zhenyu Yan, Qun Song, Rui Tan, Yang Li, Adams Wai Kin Kong.
      The 25th Annual Internatinal Conference on Mobile Computing and Networking (MobiCom), October 21-25, 2019, Los Cabos, Mexico. (Acceptance ratio: 55/290=18.9%)
      [pdf] [slides]

    11. Simultaneous Localization and Mapping with Power Network Electromagnetic Field.
      Chris Xiaoxuan Lu, Yang Li, Peijun Zhao, Changhao Chen, Linhai Xie, Hongkai Wen, Rui Tan, Niki Trigoni.
      The 24th Annual International Conference on Mobile Computing and Networking (MobiCom), October 29-November 2, 2018, New Delhi, India. (Acceptance ratio: 42/187=22.5%)
      [pdf] [video]

    12. LoRa-Based Localization: Opportunities and Challenges.
      Chaojie Gu, Linshan Jiang, Rui Tan.
      The 1st Workshop on Low Power Wide Area Networks for Internet of Things (LPNET), co-located with EWSN'19, Feb 25, 2019, Beijing, China. Invited paper.
      [pdf]

    13. Mobile Element Assisted Cooperative Localization for Wireless Sensor Networks with Obstacles.
      Hongyang Chen, Qingjiang Shi, Rui Tan, H. Vincent Poor, Kaoru Sezaki.
      IEEE Transactions on Wireless Communications (TWC), Vol. 9, No. 3, pp. 956-963, March 2010.
      [pdf]

  • Edge AI

    1. Demo: Invisible Adversarial Stripes against Traffic Sign Recognition in Autonomous Driving.
      Dongfang Guo, Yuting Wu, Yimin Dai, Pengfie Zhou, Xin Lou, Rui Tan.
      The 22nd ACM Conference on Embedded Networked Sensor Systems (SenSys), November 4-7, 2024, Hangzhou, China.
      Best Demo Award.
      [abstract]

    2. ECSeg: Edge-Cloud Switched Image Segmentation for Autonomous Vehicles.
      Siyuan Zhou, Duc Van Le, Rui Tan.
      The 21st Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), December 2-4, 2024, Phoenix, AZ, USA.
      [pdf]

    3. ContrastSense: Domain-invariant Contrastive Learning for In-the-wild Wearable Sensing.
      Gaole Dai, Huatao Xu, Hyungjun Yoon, Mo Li, Rui Tan, Sung-Ju Lee.
      Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT).
      The ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 2025.
      [pdf]

    4. A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving.
      Yang Lou, Yi Zhu, Qun Song; Rui Tan; Chunming Qiao; Wei-Bin Lee; Jianping Wang.
      The 33rd USENIX Security Symposium, August 14-16, 2024, Philadelphia, PA, USA.
      [pdf]

    5. π-Jack: Physical-World Adversarial Attack on Monocular Depth Estimation with Perspective Hijacking.
      Tianyue Zhen, Jingzhi Hu, Rui Tan, Yinqian Zhang, Ying He, and Jun Luo.
      The 33rd USENIX Security Symposium, August 14-16, 2024, Philadelphia, PA, USA.
      [pdf]

    6. SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving.
      Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, Yung-Hui Li.
      The 33rd International Joint Conference on Artificial Intelligence (IJCAI-24), August 3-9, 2024, Jeju, South Korea.

    7. Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles.
      Dongfang Guo, Yuting Wu, Yimin Dai, Pengfei Zhou, Xin Lou, Rui Tan.
      The 22nd ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), June 3-7, 2024, Tokyo, Japan. (Acceptance ratio: 43/263=16.3%)
      [pdf]

    8. FedCFC: On-Device Personalized Federated Learning with Closed-Form Continuous-Time Neural Networks.
      Yimin Dai, Rui Tan.
      The 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), May 13-16, 2024, Hong Kong. (Acceptance ratio: 20/93=21.5%) CPS-IoT Week 2024.
      [pdf] [code]

    9. CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving.
      Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, Yung-Hui Li.
      The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), February 20-27, 2024, Vancouver, Canada. (Acceptance ratio: 109/512=21.3%)
      [pdf]

    10. MESEN: Exploit Multimodal Data to Design Unimodel Human Activity Recognition with Few Labels.
      Lilin Xu, Chaojie Gu, Rui Tan, Shibo He, Jiming Chen.
      The 21th ACM Conference on Embedded Networked Sensor Systems (SenSys), November 13-15, 2023, Istanbul, Turkiye. (Acceptance ratio: 34/179=19%)
      [pdf]

    11. Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving.
      Yang Lou, Qun Song, Qian Xu, Rui Tan, Jianping Wang.
      The 26th European Conference on Artificial Intelligence (ECAI), September 30-October 5, 2023, Kraków, Poland. (Acceptance ratio: 24%)
      [pdf]

    12. Practically Adopting Human Activity Recognition.
      Huatao Xu, Pengfei Zhou, Rui Tan, Mo Li.
      The 29th Annual International Conference on Mobile Computing and Networking (MobiCom), October 2-6, 2023, Madrid, Spain.
      [pdf]

    13. Susceptibility of Autonomous Driving Agents to Learning-Based Action-Space Attacks.
      Yuting Wu, Pengfei Zhou, Xin Lou, Rui Tan, Zbigniew Kalbarczyk, Ravishankar K. Iyer.
      The 9th International Workshop on Safety and Security Intelligent Vehicle (SSIV) with DSN'23, June 27, 2023, Porto, Portugal.
      [pdf]

    14. Effects of Learning-Based Action-Space Attacks on Autonomous Driving Agents.
      Yuting Wu, Xin Lou, Pengfei Zhou, Rui Tan, Zbigniew Kalbarczyk, Ravishankar K. Iyer.
      ICCPS Work-in-Progress session, May 9-12, 2023, San Antonio, Texas, USA. CPS-IoT Week 2023.
      [pdf]

    15. Towards Efficient Personalized Driver Behavior Modeling with Machine Unlearning.
      Qun Song, Rui Tan, Jianping Wang.
      The 7th IEEE/ACM Workshop on the Internet of Safe Things (SafeThings), May 9, 2023, San Antonio, Texas, USA. CPS-IoT Week 2023.
      [pdf]

    16. Physics-Informed Machine Learning Model Generalization in AIoT: Opportunities and Challenges.
      Wenjie Luo, Rui Tan.
      The 3rd Workshop on Data-Driven and Intelligent Cyber-Physical Systems for Smart Cities (DI-CPS), May 9, 2023, San Antonio, Texas, USA. CPS-IoT Week 2023.
      [pdf]

    17. NNFacet: Splitting Neural Network for Concurrent Smart Sensors.
      Jiale Chen, Duc Van Le, Rui Tan, Daren Ho.
      IEEE Transactions on Mobile Computing (TMC). In press.
      [preprint]

    18. PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference.
      Linshan Jiang, Qun Song, Rui Tan, Mo Li.
      The 20th ACM Conference on Embedded and Networked Sensor Systems (SenSys), Nov 6-9, 2022, Boston, USA. (Acceptance ratio: 52/208=25%)
      Best Paper Candidate (7 out of 52).
      [pdf]

    19. Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge.
      Qun Song, Zhenyu Yan, Wenjie Luo, Rui Tan.
      The 19th International Conference on Embedded Wireless Systems and Networks (EWSN), Oct 3-5, 2022, Linz, Austria. (Acceptance ratio: 14/46=30%)
      [preprint] [code]

    20. Physics-Directed Data Augmentation for Deep Model Transfer to Specific Sensor.
      Wenjie Luo, Zhenyu Yan, Qun Song, Rui Tan.
      ACM Transactions on Sensor Networks (TOSN). Vol. 19, No. 1, December 2022.
      [preprint]

    21. Split Convolutional Neural Networks for Distributed Inference on Concurrent IoT Sensors.
      Jiale Chen, Duc Van Le, Rui Tan, Daren Ho.
      The 27th IEEE International Conference on Parallel and Distributed Systems (ICPADS), December 14-16, 2021, Beijing, China.
      [pdf]

    22. An Electromagnetic Covert Channel based on Neural Network Architecture.
      Chaojie Gu, Jiale Chen, Rui Tan, Linshan Jiang.
      The 27th IEEE International Conference on Parallel and Distributed Systems (ICPADS), December 14-16, 2021, Beijing, China.
      [pdf]

    23. LIMU-BERT: Unleashing the Potential of Unlabeled Data for IMU Sensing Applications.
      Huatao Xu, Pengfei Zhou, Rui Tan, Mo Li, Guobin Shen.
      The 19th ACM Conference on Embedded Networked Sensor Systems (SenSys), November 15-17, 2021, Coimbra, Portugal. (Acceptance ratio: 25/139=18%)
      Best Paper Award Runner-Up.
      [pdf]

    24. DeepMTD: Moving Target Defense for Deep Visual Sensing against Adversarial Examples.
      Qun Song, Zhenyu Yan, Rui Tan.
      ACM Transactions on Sensor Networks (TOSN). Vol. 18, No. 1, October 2021.
      [preprint]

    25. PhyAug: Physics-Directed Data Augmentation for Deep Sensing Model Transfer in Cyber-Physical Systems.
      Wenjie Luo, Zhenyu Yan, Qun Song, Rui Tan.
      The 20th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), May 18-21, 2021, Nashville, Tennessee, USA. (Acceptance ratio: 26/105=24.8%). CPS-IoT Week 2021.
      Best Artifact Award Runner-Up.
      [pdf] [code and data] [video presentation]

    26. On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections.
      Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin.
      ACM Transactions on Internet of Things (TIOT). Vol. 2, No. 2, March 2021.
      [preprint]

    27. Privacy-Preserving Blockchain-based Federated Learning for IoT Devices.
      Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li, Lingjuan Lyu, Yingbo Liu.
      IEEE Internet of Things Journal. Vol. 8, No. 3, February 2021.

    28. Lightweight and Unobtrusive Data Obfuscation at IoT Edge for Remote Inference.
      Dixing Xu, Mengyao Zheng; Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng.
      IEEE Internet of Things Journal. Special Issue on Artificial Intelligence Powered Edge Computing for Internet of Things. Vol. 7, No. 10, October 2020.
      [preprint] [code] [demo]

    29. Challenges of Privacy-Preserving Machine Learning in IoT.
      Mengyao Zheng, Dixing Xu, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng.
      The 1st International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT) with SenSys'19, November 10, 2019, New York, NY, USA.
      [pdf]

    30. Moving Target Defense for Embedded Deep Visual Sensing against Adversarial Examples.
      Qun Song, Zhenyu Yan, Rui Tan.
      The 17th ACM Conference on Embedded Networked Sensor Systems (SenSys), November 10-13, 2019, New York, NY, USA. (Acceptance ratio: 28/144=19%)
      [pdf] [slides]

    31. On Lightweight Privacy-Preserving Collaborative Learning for Internet-of-Things Objects.
      Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin.
      The 4th ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI), April 16-18, 2019, Montreal, Canada. CPS-IoT Week 2019. (Full paper acceptance ratio: 20/71=28%)
      [pdf] [slides]

    32. Deep Room Recognition Using Inaudible Echos.
      Qun Song, Chaojie Gu, Rui Tan.
      Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT).
      The ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), October 8-12, 2018, Singapore.
      [pdf] [slides]

    33. Differentially Private Collaborative Learning for the IoT Edge.
      Linshan Jiang, Xin Lou, Rui Tan, Jun Zhao.
      The 2nd International Workshop on Crowd Intelligence for Smart Cities: Technology and Applications (CICS), co-located with EWSN'19, Feb 25, 2019, Beijing, China.
      [pdf] [slides]

  • Liveness

    1. Listen to Your Face: A Face Authentication Scheme based on Acoustic Signals.
      Huimin Chen, Chaojie Gu, Lilin Xu, Rui Tan, Shibo He, Jiming Chen.
      ACM Transactions on Sensor Networks. Accepted, in press.

    2. TouchKey: Touch to Generate Symmetric Keys by Skin Electric Potentials Induced by Powerline Radiation.
      Yuchen Miao, Chaojie Gu, Zhenyu Yan, Sze Yiu Chau, Rui Tan, Qi Lin, Wen Hu, Shibo He, Jiming Chen.
      Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT).
      [preprint]

    3. Telesonar: Robocall Alarm System by Detecting Echo Channel and Breath Timing.
      Zhenyu Yan, Rui Tan, Qun Song, Chris Xiaoxuan Lu.
      The 20th ACM Conference on Embedded Networked Sensor Systems (SenSys), Nov 6-9, 2022, Boston, USA. (Acceptance ratio: 52/208=25%)
      [pdf]

  • Networking

    1. LMAC: Efficient Carrier-Sense Multiple Access for LoRa.
      Amalinda Gamage, Jansen Christian Liando, Chaojie Gu, Rui Tan, Mo Li, Olivier Seller.
      ACM Transactions on Sensor Networks (TOSN). Vol. 19, No. 2, February 2023.
      [preprint]

    2. A Survey on LoRaWAN Technologies for Enabling New Generation Internet of Things.
      Chaojie Gu, Rui Tan.
      Chinese Journal on Internet of Things. Vol. 5, No. 2, June 2021. (Invited paper, written in Chinese)

    3. When LoRa Meets EMR: Electromagnetic Covert Channels Can Be Super Resilient.
      Cheng Shen, Tian Liu, Jun Huang, Rui Tan.
      The 42nd IEEE Symposium on Security and Privacy (Oakland), May 23-27, 2021, San Francisco, CA.
      [pdf]

    4. LMAC: Efficient Carrier-Sense Multiple Access for LoRa.
      Amalinda Gamage, Jansen C. Liando, Chaojie Gu, Rui Tan, Mo Li.
      The 26th Annual International Conference on Mobile Computing and Networking (MobiCom), September 21-25, 2020, London, United Kingdom. (Acceptance ratio for winter round: 39/218=17.8%)
      [pdf]

    5. One-hop Out-of-band Control Planes for Multi-hop Wireless Sensor Networks.
      Chaojie Gu, Rui Tan, Xin Lou.
      ACM Transactions on Sensor Networks (TOSN). July 2019, Article No. 40.
      [preprint]

    6. Managing Industrial Communication Delays with Software-Defined Networking.
      Rutvij H. Jhaveri, Rui Tan, Arvind Easwaran, Sagar V. Ramani.
      The 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), August 18-21, 2019, Hangzhou, China.
      [pdf]

    7. SlotSwapper: A Schedule Randomization Protocol for Real-Time WirelessHART Networks.
      Ankita Samaddar, Arvind Easwaran, Rui Tan.
      The 17th International Workshop on Real-Time Networks (RTN), co-located with ECRTS'19, July 9, 2019, Stuttgart, Germany.
      [pdf]

    8. One-Hop Out-of-Band Control Planes for Low-Power Multi-Hop Wireless Networks.
      Chaojie Gu, Rui Tan, Xin Lou, Dusit Niyato.
      The 37th Annual IEEE International Conference on Computer Communications (INFOCOM), April 15 - 19, 2018, Honolulu, HI. (Acceptance ratio: 309/1606=19.2%).
      [pdf] [slides]

  • In-network processing

    1. A Joint Data Compression and Encryption Approach for Wireless Energy Auditing Networks.
      Rui Tan, Sheng-Yuan Chiu, Hoang Hai Nguyen, David Yau, Deokwoo Jung.
      ACM Transactions on Sensor Networks (TOSN). Vol. 13, No. 2, June 2017.
      [preprint]

    2. ORBIT: A Platform for Smartphone-Based Data-Intensive Sensing Applications.
      Mohammad-Mahdi Moazzami, Dennis E. Phillips, Rui Tan, Guoliang Xing.
      IEEE Transactions on Mobile Computing (TMC). Vol. 16, No. 3, pp. 801-815, March 2017.
      [preprint]

    3. JICE: Joint Data Compression and Encryption for Wireless Energy Auditing Networks.
      Sheng-Yuan Chiu, Hoang Hai Nguyen, Rui Tan, David K. Y. Yau, Deokwoo Jung.
      The 12th IEEE International Conference on Sensing, Communication, and Networking (SECON), June 22-25, 2015, Seattle, WA, USA. (Acceptance ratio: 55/194=28%).
      [pdf] [slides]

    4. ORBIT: A Smartphone-Based Platform for Data-Intensive Embedded Sensing Applications.
      Mohammad-Mahdi Moazzami, Dennis E. Phillips, Rui Tan, Guoliang Xing.
      The 14th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), April 13-17, 2015, Seattle, WA, USA. (Acceptance ratio: 27/111=24%). CPS Week 2015.
      [pdf]

      • (PhD forum abstract) DroidSense: A Toolkit for Smartphone-Based Data-Intensive Embedded Sensing Systems.
        Mohammad-Mahdi Moazzami, Rui Tan, Dennis E. Phillips, Guoliang Xing.
        The 12th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), PhD Forum, April 8-11, 2013, Philadelphia, USA.
        [extended abstract]

  • Fusion-based sensing

    1. System-level Calibration for Data Fusion in Wireless Sensor Networks.
      Rui Tan, Guoliang Xing, Zhaohui Yuan, Xue Liu, Jianguo Yao.
      ACM Transactions on Sensor Networks (TOSN). Vol. 9, No. 3, May 2013.
      [pdf]

    2. System-level Calibration for Fusion-based Wireless Sensor Networks.
      Rui Tan, Guoliang Xing, Zhaohui Yuan, Xue Liu, Jianguo Yao.
      The 31st IEEE Real-Time Systems Symposium (RTSS), pp. 215-224, Nov 30 - Dec 3, 2010, San Diego, CA, USA. (Wireless sensor network track. Acceptance ratio: 36/142=25%)
      [pdf]

    3. Adaptive Calibration for Fusion-based Cyber-Physical Systems.
      Rui Tan, Guoliang Xing, Xue Liu, Jianguo Yao, Zhaohui Yuan.
      ACM Transactions in Embedded Computing Systems (TECS). Vol. 11, No. 4, December 2012.
      [pdf] [erratum]

    4. Adaptive Calibration for Fusion-based Wireless Sensor Networks.
      Rui Tan, Guoliang Xing, Xue Liu, Jianguo Yao, Zhaohui Yuan.
      The 29th Annual IEEE International Conference on Computer Communications (INFOCOM), pp. 1-9, Mar 15-19, 2010, San Diego, CA, USA. (Acceptance ratio: 276/1575=17.5%)
      [pdf] [slides] [erratum] [a related poster on MobiCom'09]

    5. Spatiotemporal Coverage in Fusion-based Sensor Networks.
      Rui Tan, Guoliang Xing.
      The Art of Wireless Sensor Networks, Vol. 2 (Advanced Topics and Applications). Springer.
      [pdf]

    6. Exploiting Data Fusion to Improve the Coverage of Wireless Sensor Networks.
      Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang, Xiaohua Jia.
      IEEE/ACM Transactions on Networking (TON), Vol. 20, No. 2, pp. 450-462, April 2012.
      [pdf] [appendices]

    7. Sensor Placement Algorithms for Fusion-based Surveillance Networks.
      Xiangmao Chang, Rui Tan, Guoliang Xing, Zhaohui Yuan, Chenyang Lu, Yixin Chen, Yixian Yang.
      IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 22, No. 8, pp. 1407-1414, August 2011.
      [pdf] [appendices]

    8. Performance Analysis of Real-Time Detection in Fusion-based Sensor Networks.
      Rui Tan, Guoliang Xing, Jianping Wang, Benyuan Liu.
      IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 22, No. 9, pp. 1564-1577, September 2011.
      [pdf] [appendices]

    9. Data Fusion Improves the Coverage of Wireless Sensor Networks.
      Guoliang Xing, Rui Tan, Benyuan Liu, Jianping Wang, Xiaohua Jia, Chih-Wei Yi.
      The 15th Annual International Conference on Mobile Computing and Networking (MobiCom), pp. 157-168, Sept 20-25, 2009, Beijing, China. (Acceptance ratio: 30/282=10.6%)
      [pdf]

    10. Collaborative Target Detection in Wireless Sensor Networks with Reactive Mobility.
      Rui Tan, Guoliang Xing, Jianping Wang, Hing Cheung So.
      16th International Workshop on Quality of Service (IWQoS), pp. 150-159, Enschede, The Netherlands, June 2-4, 2008. (Acceptance ratio: 26/73=35%)
      [pdf] [slides]

    11. Mobile Scheduling for Spatiotemporal Detection in Wireless Sensor Networks.
      Guoliang Xing; Jianping Wang; Zhaohui Yuan, Rui Tan; Limin Sun; Qingfeng Huang; Xiaohua Jia; Hing Cheung So.
      IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 21, No. 12, pp. 1851-1866, December 2010.
      [pdf]

    12. Analysis of Quality of Surveillance in Fusion-based Sensor Networks.
      Rui Tan, Guoliang Xing, Xunteng Xu, Jianping Wang.
      The 2nd International Workshop on Information Quality and Quality of Service for Pervasive Computing (IQ2S 2010) in conjunction with PerCom 2010, pp. 37-42, Mar 29, Mannheim, Germany, invited paper.
      [pdf] [slides]

    13. Impact of Data Fusion on Real-time Detection in Sensor Networks.
      Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang.
      The 30th IEEE Real-Time Systems Symposium (RTSS), pp. 323-332, Dec 1-4, 2009, Washington, D.C., USA. (Wireless sensor network track. Acceptance ratio for WSN track: 12%)
      [pdf] [slides]

    14. Fast Sensor Placement Algorithms for Fusion-based Target Detection.
      Zhaohui Yuan, Rui Tan, Guoliang Xing, Chenyang Lu, Yixin Chen, Jianping Wang.
      The 29th IEEE Real-Time Systems Symposium (RTSS), pp. 103-112, Barcelona, Spain, Nov 30-Dec 3, 2008. (Wireless sensor network track. Acceptance ratio: 44/189=23%)
      [pdf]

    15. Exploiting Reactive Mobility for Collaborative Target Detection in Wireless Sensor Networks.
      Rui Tan, Guoliang Xing, Jianping Wang, Hing Cheung So.
      IEEE Transactions on Mobile Computing (TMC), Vol. 9, No. 3, pp. 317-332, March 2010.
      [pdf] [appendices]

  • General and others

    1. Task Allocation with Geography-Context-Capacity Awareness in Distributed Burstable Billing Edge-Cloud Systems.
      Shihao Shen, Yuanze Li, Chao Qiu, Xiaofei Wang, Rui Tan, Cheng Zhang, Wenyu Wang.
      IEEE Transactions on Services Computing. Accepted, in press.

    2. Learning-based Auction for Matching Demand and Supply of Holographic Digital Twin Over Immersive Communications.
      XiuYu Zhang, Minrui Xu, Rui Tan, Dusit Niyato.
      IEEE Transactions on Multimedia (TMM). In press.

    3. Intelligent IoT for the Digital World.
      Yang Yang, Xu Chen, Rui Tan, Yong Xiao.
      A book published by Wiley. In production.
      [buy at Amazon]

Topic 2: CPS/IoT applications (data centers, utility, environment, etc)
  • Thermal/energy monitoring and control in data centers

    1. Thermoeconomic Assessment of the Air-cooled Tropical Data Center through Energy-Saving Strategies.
      Jing Zhou, Baris Burak Kanbur, Duc Van Le, Rui Tan, Fei Duan.
      Energy and Built Environment. Accepted, in press.
      [preprint]

    2. An Optimization Approach for Selection and Deployment of Energy-Efficient Servers in Green Data Centers.
      Duc Van Le, Rui Tan.
      The 12th International Workshop on The Ever-Evolving Data Centers: Research and Innovation (E2DC), co-located with ACM e-Energy, June 4, 2024, Singapore.
      [pdf]

    3. Poster: Two Tropical Data Center Testbeds and Data Yields from 2018 to 2024.
      Rongrong Wang, Duc Van Le, Rui Tan.
      The 15th ACM International Conference on Future and Sustainable Energy Systems (e-Energy), June 5-7, 2024, Singapore.
      [pdf]

    4. Incentive Temperature Control for Green Colocation Data Centers via Reinforcement Learning.
      Rongrong Wang, Duc Van Le, Jikun Kang, Rui Tan, Xue Liu.
      The 32nd IEEE/ACM International Symposium on Quality of Service (IWQoS), June 19-21, 2024, Guangzhou, China.
      [pdf]

    5. Impacts of Increasing Temperature and Relative Humidity in Air-Cooled Tropical Data Centers.
      Duc Van Le, Jing Zhou, Rongrong Wang, Rui Tan, Fei Duan.
      IEEE Transactions on Sustainable Computing. Accepted, in press.
      [preprint] [data]

    6. ChatTwin: Toward Automated Digital Twin Generation for Data Center via Large Language Models.
      Minghao Li, Ruihang Wang, Xin Zhou, Zhaomeng Zhu, Yonggang Wen, Rui Tan.
      The 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys), November 15-16, 2023, Istanbul, Turkiye.
      [pdf]

    7. Toward Data Center Digital Twins via Knowledge-Based Model Calibration and Reduction.
      Ruihang Wang, Deneng Xia, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan.
      ACM Transactions on Modeling and Computer Simulation (TOMACS). In press.
      [preprint]

    8. Phyllis: Physics-Informed Lifelong Reinforcement Learning for Data Center Cooling Control.
      Ruihang Wang, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan.
      The 14th ACM International Conference on Future Energy Systems (e-Energy), June 20-23, 2023, Orlando, Florida, USA. ACM FCRC 2023.
      [pdf]

    9. Multi-criteria Assessments of Increasing Supply Air Temperature in Tropical Data Center.
      Jing Zhou, Baris Burak Kanbur, Duc Van Le, Rui Tan, Fei Duan.
      Energy. Vol. 271, May 2023.

    10. Green Data Center Cooling Control via Physics-Guided Safe Reinforcement Learning.
      Ruihang Wang, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan.
      ACM Transactions on Cyber-Physical Systems (TCPS). In press.
      Directly accepted without revision rounds.
      [preprint]

    11. Toward Physics-Guided Safe Deep Reinforcement Learning for Green Data Center Cooling Control.
      Ruihang Wang, Xinyi Zhang, Xin Zhou, Yonggang Wen, Rui Tan.
      The 13th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), May 4-6, 2022, Milan, Italy. (Acceptance ratio: 25/88=28%)
      Best Paper Award Finalist.
      [pdf]

    12. Air Free-Cooled Tropical Data Center: Design, Evaluation, and Learned Lessons.
      Duc Van Le, Yingbo Liu, Rongrong Wang, Rui Tan, Lek Heng Ngoh.
      IEEE Transactions on Sustainable Computing. Vol. 7, No. 3, July-September 2022.
      [preprint] [data]

    13. A Data-Assisted First-Principle Approach to Modeling Server Outlet Temperature in Air Free-Cooled Data Centers.
      Yingbo Liu, Duc Van Le, Rui Tan.
      Future Generation Computer Systems. Vol. 129, April 2022.

    14. Real-Time Cooling Power Attribution for Co-Located Data Center Rooms with Distinct Temperatures and Humidities.
      Rongrong Wang, Duc Van Le, Rui Tan, Yew-Wah Wong.
      ACM Transactions on Cyber-Physical Systems (TCPS). Vol. 6, No. 1, January 2022.
      [preprint]

    15. Joint IT-Facility Optimization for Green Data Centers via Deep Reinforcement Learning.
      Xin Zhou, Ruihang Wang, Yonggang Wen, Rui Tan.
      IEEE Network. Vol. 35, No. 6, November/December 2021.

    16. Deep Reinforcement Learning for Tropical Air Free-Cooled Data Center Control.
      Duc Van Le, Rongrong Wang, Yingbo Liu, Rui Tan, Yew-Wah Wong, Yonggang Wen.
      ACM Transactions on Sensor Networks (TOSN). Vol. 17 (Special issue on Computational Intelligence in Internet of Things), No. 3, June 2021.
      [preprint]

    17. Experiences and Learned Lessons from an Air Free-Cooled Tropical Data Center Testbed.
      Duc Van Le, Yingbo Liu, Rongrong Wang, Rui Tan, Lek Heng Ngoh.
      The 7th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys), November 16-19, 2020, Yokohama, Japan.
      [pdf] [1min teaser] [video presentation]

    18. Real-Time Cooling Power Attribution for Co-located Data Center Rooms with Distinct Temperatures.
      Rongrong Wang, Duc Van Le, Rui Tan, Yew-Wah Wong, Yonggang Wen.
      The 7th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys), November 16-19, 2020, Yokohama, Japan.
      [pdf] [1min teaser] [video presentation]

    19. Kalibre: Knowledge-based Neural Surrogate Model Calibration for Data Center Digital Twins.
      Ruihang Wang, Xin Zhou, Linsen Dong, Yonggang Wen, Rui Tan, Li Chen, Guan Wang, Feng Zeng.
      The 7th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys), November 16-19, 2020, Yokohama, Japan.
      [arXiv] [1min teaser] [video presentation]

    20. Efficient Compute-Intensive Job Allocation in Data Centers via Deep Reinforcement Learning.
      Deliang Yi, Xin Zhou, Yonggang Wen, Rui Tan.
      IEEE Transactions on Parellel and Distributed Systems (TPDS). Vol. 31, No. 6, June 2020.
      [preprint] [appendices]

    21. Control of Air Free-Cooled Data Centers in Tropics via Deep Reinforcement Learning.
      Duc Van Le, Yingbo Liu, Rongrong Wang, Rui Tan, Yew-Wah Wong, Yonggang Wen.
      The 6th ACM International Conference on Systems for Energy-Efficient Built Environments, Cities, and Transportation (BuildSys), November 13-14, 2019, New York, NY, USA. (Acceptance ratio: 38/128=29%)
      [pdf]

    22. Toward Efficient Compute-Intensive Job Allocation for Green Data Centers: A Deep Reinforcement Learning Approach.
      Deliang Yi, Xin Zhou, Yonggang Wen, Rui Tan.
      The 39th IEEE International Conference on Distributed Computing Systems (ICDCS), July 7-10, 2019, Dallas, Texas, USA. (Acceptance ratio: 19.6%)
      [pdf]

    23. A Testbed and Data Yields for Studying Data Center Energy Efficiency and Reliability.
      Duc Van Le, Yingbo Liu; Rongrong Wang; Rui Tan; Lek Heng Ngoh.
      The Data: Acquisition to Analysis Workshop with SenSys'18, November 4, 2018, Shenzhen, China.
      [pdf]

    24. PTEC: A System for Predictive Thermal and Energy Control in Data Centers.
      Jinzhu Chen, Rui Tan, Guoliang Xing, Xiaorui Wang.
      The 35th IEEE Real-Time Systems Symposium (RTSS), December 2-5, 2014, Rome, Italy. (Cyber-physical systems track. Acceptance ratio: 33/154=21%)
      [pdf] [slides]

    25. A Sensor System for High-Fidelity Temperature Distribution Forecasting in Data Centers.
      Jinzhu Chen, Rui Tan, Yu Wang, Guoliang Xing, Xiaorui Wang, Xiaodong Wang, Bill Punch, Dirk Colbry.
      ACM Transactions on Sensor Networks (TOSN). Vol. 11, No. 2, February 2015.
      [pdf]

    26. A High-Fidelity Temperature Distribution Forecasting System for Data Centers.
      Jinzhu Chen, Rui Tan, Yu Wang, Guoliang Xing, Xiaorui Wang, Xiaodong Wang, Bill Punch, Dirk Colbry.
      The 33rd IEEE Real-Time Systems Symposium (RTSS), Dec 4-7, 2012, San Juan, Puerto Rico. (Cyber-physical systems track. Acceptance ratio: 35/157=22%)
      [pdf]

  • Utility monitoring

    1. Unsupervised Residential Power Usage Monitoring using a Wireless Sensor Network.
      Rui Tan, Dennis E. Phillips; Mohammad-Mahdi Moazzami; Guoliang Xing; Jinzhu Chen.
      ACM Transactions on Sensor Networks (TOSN). Vol. 13, No. 3, September 2017.
      [preprint] [video]

    2. Supero: A Sensor System for Unsupervised Residential Power Usage Monitoring.
      Dennis E. Phillips, Rui Tan*; Mohammad-Mahdi Moazzami; Guoliang Xing; Jinzhu Chen; David K. Y. Yau.
      The 11th IEEE International Conference on Pervasive Computing and Communications (PerCom), Mar 18-22, 2013, San Diego, CA, USA. (Acceptance ratio for full papers: 19/170=11%)
      Mark Weiser Best Paper Award Finalist
      * The first two authors are listed in alphabetic order.
      [pdf] [slides] [video]

      • Supero: A Sensor System for Unsupervised Residential Power Usage Monitoring.
        Dennis E. Phillips, Rui Tan; Mohammad-Mahdi Moazzami; Guoliang Xing; Jinzhu Chen.
        The 1st International Workshop on Non-Intrusive Load Monitoring. ICES, CMU. May 7, 2012.
        [extended abstract]

  • Aquatic environment monitoring

    1. Energy-Efficient Aquatic Environment Monitoring using Smartphone-Based Robots.
      Yu Wang, Rui Tan, Guoliang Xing, Jianxun Wang, Xiaobo Tan, Xiaoming Liu.
      ACM Transactions on Sensor Networks (TOSN). Vol. 12, No. 3, August 2016.
      [preprint]

    2. Samba: A Smartphone-Based Robot System for Energy-Efficient Aquatic Environment Monitoring.
      Yu Wang, Rui Tan, Guoliang Xing, Jianxun Wang, Xiaobo Tan, Xiaoming Liu.
      The 14th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), April 13-17, 2015, Seattle, WA, USA. (Acceptance ratio: 27/111=24%). CPS Week 2015.
      [pdf]

    3. Monitoring Aquatic Debris using Smartphone-Based Robots.
      Yu Wang, Rui Tan, Guoliang Xing, Jianxun Wang, Xiaobo Tan, Xiaoming Liu, Xiangmao Chang.
      IEEE Transactions on Mobile Computing (TMC). Vol. 15, No. 6, pp. 1412-1426, June 2016.
      [preprint]

    4. Aquatic Debris Monitoring Using Smartphone-Based Robotic Sensors.
      Yu Wang, Rui Tan, Guoliang Xing, Jianxun Wang, Xiaobo Tan, Xiaoming Liu, Xiangmao Chang.
      The 13th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), April 15-17, 2014, Berlin, Germany. (Acceptance ratio: 23/111=20.7%). CPS Week 2014.
      Best Paper Award Runner-up
      [pdf]

    5. Spatiotemporal Aquatic Field Reconstruction using Cyber-Physical Robotic Sensor Systems.
      Yu Wang, Rui Tan, Guoliang Xing, Xiaobo Tan, Jianxun Wang, Ruogu Zhou.
      ACM Transactions on Sensor Networks (TOSN). Vol. 10, No. 4, June 2014.
      [pdf]

    6. Profiling Aquatic Diffusion Process using Robotic Sensor Networks.
      Yu Wang, Rui Tan, Guoliang Xing, Jianxun Wang, Xiaobo Tan.
      IEEE Transactions on Mobile Computing (TMC). Vol. 13, No. 4, pp. 880-893, April 2014.
      [pdf]

    7. Spatiotemporal Aquatic Field Reconstruction using Robotic Sensor Swarm.
      Yu Wang, Rui Tan, Guoliang Xing, Xiaobo Tan, Jianxun Wang, Ruogu Zhou.
      The 33rd IEEE Real-Time Systems Symposium (RTSS), Dec 4-7, 2012, San Juan, Puerto Rico. (Cyber-physical systems track. Acceptance ratio: 35/157=22%)
      [pdf]

    8. Accuracy-Aware Aquatic Diffusion Process Profiling using Robotic Sensor Networks.
      Yu Wang, Rui Tan, Guoliang Xing, Jianxun Wang, Xiaobo Tan.
      The 11th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), pp. 281-292, Apr 16-20, 2012, Beijing, China. (Acceptance ratio: 22/147=14.9%) CPS Week 2012.
      [pdf]

  • Volcano monitoring

    1. Volcanic Earthquake Timing using Wireless Sensor Networks.
      Guojin Liu, Rui Tan*; Ruogu Zhou; Guoliang Xing; Wen-Zhan Song; Jonathan M. Lees.
      The 12th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), April 8-11, 2013, Philadelphia, PA, USA. (Acceptance ratio: 24/115=21%). CPS Week 2013.
      * The first two authors are listed in alphabetic order.
      [pdf] [slides]

    2. Fusion-based Volcanic Earthquake Detection and Timing in Wireless Sensor Networks.
      Rui Tan, Guoliang Xing, Jinzhu Chen, Wen-Zhan Song, Renjie Huang.
      ACM Transactions on Sensor Networks (TOSN). Vol. 9, No. 2, March 2013.
      [pdf] [code]

    3. Quality-driven Volcanic Earthquake Detection using Wireless Sensor Networks.
      Rui Tan, Guoliang Xing, Jinzhu Chen, Wen-Zhan Song, Renjie Huang.
      The 31st IEEE Real-Time Systems Symposium (RTSS), pp. 271-280, Nov 30 - Dec 3, 2010, San Diego, CA, USA. (Wireless sensor network track. Acceptance ratio: 36/142=25%)
      [pdf] [slides] [code]

  • Smart camera

    1. A Collaborative Visual Sensing System for Precise Quality Inspection at Manufacturing Lines.
      Jiale Chen, Duc Van Le, Rui Tan, Daren Ho.
      ACM Transactions on Cyber-Physical Systems (TCPS). Special Issue: Best Papers of ICCPS 2023. In press.
      [preprint]

    2. Design, Deployment, and Evaluation of an Industrial AIoT System for Quality Control at HP Factories.
      Duc Van Le, Joy Qiping Yang; Siyuan Zhou; Daren Ho; Rui Tan.
      ACM Transactions on Sensor Networks (TOSN). In press.
      [preprint]

    3. Artificial Intelligence of Things for Industrial Visual Sensing Systems in HP's Factories.
      Duc Van Le, Siyuan Zhou, Joy Qiping Yang, Jiale Chen, Daren Ho, Rui Tan.
      Digital Manufacturing, Vol. 2. Elsevier.

    4. BubCam: A Vision System for Automated Quality Inspection at Manufacturing Lines.
      Jiale Chen, Duc Van Le, Rui Tan, Daren Ho.
      The 14th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), May 9-12, 2023, San Antonio, Texas, USA. (Acceptance ratio: 25.6%) CPS-IoT Week 2023.
      Best Paper Award.
      [pdf]

    5. Configuration-Adaptive Wireless Visual Sensing System with Deep Reinforcement Learning.
      Siyuan Zhou, Duc Van Le, Rui Tan, Joy Qiping Yang, Daren Ho.
      IEEE Transactions on Mobile Computing (TMC). Vol. 22, No. 9, September 2023.
      [preprint]

    6. EFCam: Configuration-Adaptive Fog-Assisted Wireless Cameras with Reinforcement Learning.
      Siyuan Zhou, Duc Van Le, Joy Qiping Yang, Rui Tan, Daren Ho.
      International Conference on Sensing, Communication and Networking (SECON), July 6-9, 2021, held online. (Acceptance ratio: 37/140=26%)
      [pdf]

    7. Improving Quality Control with Industrial AIoT at HP Factories: Experiences and Learned Lessons.
      Joy Qiping Yang, Siyuan Zhou; Duc Van Le; Daren Ho; Rui Tan.
      International Conference on Sensing, Communication and Networking (SECON), July 6-9, 2021, held online. (Acceptance ratio: 37/140=26%)
      [pdf]

    8. Detecting Wireless Spy Cameras Via Stimulating and Probing.
      Tian Liu, Ziyu Liu, Jun Huang, Rui Tan, Zhen Tan.
      The 16th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), June 10 - 15, 2018, Munich, Germany. (Acceptance ratio: 37/138=26.8%).
      [pdf]

    9. Fidelity-Aware Utilization Control for Cyber-Physical Surveillance Systems.
      Jinzhu Chen, Rui Tan, Guoliang Xing, Xiaorui Wang, Xing Fu.
      IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 23, No. 9, pp. 1739-1751, September 2012.
      Directly accepted without revision rounds.
      [pdf]

    10. Fidelity-aware Utilization Control for Cyber-Physical Surveillance Systems.
      Jinzhu Chen, Rui Tan, Guoliang Xing, Xiaorui Wang, Xing Fu.
      The 31st IEEE Real-Time Systems Symposium (RTSS), pp. 117-126, Nov 30 - Dec 3, 2010, San Diego, CA, USA. (Cyber-physical systems track. Acceptance ratio: 36/142=25%)
      [pdf]

    11. Traffic Video Segmentation Using Adaptive-K Gaussian Mixture Model.
      R. Tan, H. Huo, J. Qian, T. Fang.
      The International Workshop on Intelligent Computing in Pattern Analysis/Synthesis 2006 (IWICPAS), pp. 125-134, Xi'an, China, August 26-27, 2006. (Acceptance ratio: 51/264=19.3%)
      [pdf]

Topic 3: Cybersecurity of smart grids and control systems
  • False data injection attacks and countermeasures

    1. On Credibility of Adversarial Examples against Learning-Based Grid Voltage Stability Assessment.
      Qun Song, Rui Tan, Chao Ren, Yan Xu, Yang Lou, Jianping Wang, Hoay Beng Gooi.
      IEEE Transactions on Dependable and Secure Computing (TDSC). Special Issue on Reliability and Robustness in AI-Based Cybersecurity Solutions. In press.
      [preprint]

    2. Vulnerability Analysis, Robustness Verification, and Mitigation Strategy for Machine Learning-Based Power System Stability Assessment Model under Adversarial Examples.
      Chao Ren, Xiaoning Du, Yan Xu, Qun Song, Yang Liu, Rui Tan.
      IEEE Transactions on Smart Grid. Vol. 13, No. 2, March 2022.

    3. Understanding Credibility of Adversarial Examples against Smart Grid: A Case Study for Voltage Stability Assessment.
      Qun Song, Rui Tan, Chao Ren, Yan Xu.
      The 12th ACM International Conference on Future Energy Systems (e-Energy), June 28 - July 2, 2021, Torino, Italy. (Acceptance ratio: 17/75=22%)
      [pdf]

    4. Stealthy Actuator Signal Attacks in Stochastic Control Systems: Performance and Limitations.
      Chongrong Fang, Jiming Chen, Yifei Qi, Rui Tan, Wei Xing Zheng.
      IEEE Transactions on Automatic Control (TAC). Vol. 65, No. 9, September 2020.
      [preprint]

    5. Moving Target Defense Approach to Detecting Stuxnet-like Attacks.
      Jue Tian, Rui Tan, Xiaohong Guan, Zhanbo Xu, Ting Liu.
      IEEE Transactions on Smart Grid (TSG). Vol. 11, No. 1, Jan 2020.
      [preprint] [appendices]

    6. Performance and Resilience of Cyber-Physical Control Systems with Reactive Attack Mitigation.
      Subhash Lakshminarayana, Teo Zhan Teng, Jabir Shabbir Karachiwala, Rui Tan, David Yau.
      IEEE Transactions on Smart Grid (TSG). Vol. 10, No. 6, Nov 2019.
      [preprint]

    7. Enhanced Hidden Moving Target Defense in Smart Grids.
      Jue Tian, Rui Tan, Xiaohong Guan, Ting Liu.
      IEEE Transactions on Smart Grid (TSG). Vol. 10, No. 2, Mar 2019.
      [preprint] [appendices]

    8. Modeling and Detecting False Data Injection Attacks against Railway Traction Power Systems.
      Subhash Lakshminarayana, Teo Zhan Teng, Rui Tan, David Yau.
      ACM Transactions on Cyber-Physical Systems (TCPS). Vol. 2, No. 4, August 2018.
      [preprint]

    9. Optimal Attack against Cyber-Physical Control Systems with Reactive Attack Mitigation.
      Subhash Lakshminarayana, Zhan-Teng Teo, David Yau, Rui Tan.
      The 8th ACM International Conference on Future Energy Systems (e-Energy), May 17-19, 2017. Hong Kong. (Acceptance ratio: 18/72=25%).
      [pdf]

    10. Modeling and Mitigating Impact of False Data Injection Attacks on Automatic Generation Control.
      Rui Tan, Hoang Hai Nguyen, Eddy. Y. S. Foo, David K. Y. Yau, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Hoay Beng Gooi.
      IEEE Transactions on Information Forensics and Security (TIFS). Vol. 12, No. 7, pp. 1609-1624, July 2017.
      [preprint]

    11. Hidden Moving Target Defense in Smart Grids.
      Jue Tian, Rui Tan, Xiaohong Guan, Ting Liu.
      The 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids (CPSR-SG), April 21, 2017, Pittsburgh, PA, USA. CPS Week 2017.
      Best Paper Award
      [pdf] [slides]

    12. On False Data Injection Attacks against Railway Traction Power Systems.
      Subhash Lakshminarayana, Zhan-Teng Teo, Rui Tan, David Yau, Pablo Arboleya.
      The 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), June 28 - July 1, 2016, Toulouse, France. (Acceptance ratio: 53/259=20.4%).
      [pdf]

    13. Optimal False Data Injection Attack against Automatic Generation Control in Power Grids.
      Rui Tan, Hoang Hai Nguyen, Eddy. Y. S. Foo, Xinshu Dong, David K. Y. Yau, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Hoay Beng Gooi.
      The 7th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), April 11-14, 2016, Vienna, Austria. CPS Week 2016.
      [pdf] [slides]

    14. On Applying Fault Detectors against False Data Injection Attacks in Cyber-Physical Control Systems.
      Quyen Dinh Vu, Rui Tan, David K. Y. Yau.
      The 35th Annual IEEE International Conference on Computer Communications (INFOCOM), April 10-14, 2016, San Francisco, CA, USA. (Acceptance ratio: 300/1644=18%).
      [pdf]

  • Time delay attacks and countermeasures

    1. Learning-based Simultaneous Detection and Characterization of Time Delay Attack in Cyber-Physical Systems.
      Prakhar Ganesh, Xin Lou, Yao Chen, Rui Tan, David Yau, Deming Chen, Marianne Winslett.
      IEEE Transactions on Smart Grid (TSG). Vol. 12, No. 4, July 2021.
      [preprint]

    2. Assessing and Mitigating Impact of Time Delay Attack: Case Studies for Power Grid Controls.
      Xin Lou, Cuong Tran, Rui Tan, David Yau, Zbigniew Kalbarczyk, Ambarish Kumar Banerjee, Prakhar Ganesh.
      IEEE Journal on Selected Areas in Communications (JSAC). Vol. 38, No. 1, Jan 2020.
      [preprint]

    3. Assessing and Mitigating Impact of Time Delay Attack: A Case Study for Power Grid Frequency Control.
      Xin Lou, Cuong Tran, Rui Tan, David Yau, Zbigniew Kalbarczyk.
      The 10th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), April 16-18, 2019, Montreal, Canada. CPS-IoT Week 2019.
      [pdf]

    4. Learning-Based Time Delay Attack Characterization for Cyber-Physical Systems.
      Xin Lou, Cuong Tran, David Yau, Rui Tan, Hongwei Ng, Tom Z. J. Fu, Marianne Winslett.
      IEEE SmartGridComm: AI in Energy Systems, 21-24 October 2019, Beijing, China.

    5. Integrity Attacks on Real-Time Pricing in Electric Power Grids.
      Rui Tan, Varun Badrinath Krishna, David K. Y. Yau, Zbigniew Kalbarczyk.
      ACM Transactions on Information and System Security (TISSEC). Vol. 18, No. 2, December 2015.
      [preprint] [appendices]

    6. Impact of Signal Delay Attack on Voltage Control for Electrified Railways.
      Hoang Hai Nguyen, Rui Tan, David K. Y. Yau.
      IEEE Region 10 Technical Conference (TENCON 2015).
      [pdf] [slides]

    7. Impact of Integrity Attacks on Real-Time Pricing in Smart Grids.
      Rui Tan, Varun Badrinath Krishna, David K. Y. Yau, Zbigniew Kalbarczyk.
      The 20th ACM Conference on Computer and Communications Security (CCS), November 4-8, 2013, Berlin, Germany. (Acceptance ratio: 105/530=19.8%)
      [pdf] [slides] [a web post] [erratum]

  • Others (privacy, safety, demand response, SDN for smart grid, etc)

    1. Collaborative Load Management with Safety Assurance in Smart Grids.
      Rui Tan, Hoang Hai Nguyen, David Yau.
      ACM Transactions on Cyber-Physical Systems (TCPS). Vol. 1, No. 2, February 2017.
      [preprint]

    2. Cost of Differential Privacy in Demand Reporting for Smart Grid Economic Dispatch.
      Xin Lou, Rui Tan, David Yau, Peng Cheng.
      The 36th Annual IEEE International Conference on Computer Communications (INFOCOM), May 1 - 4, 2017, Atlanta, GA. (Acceptance ratio: 292/1395=20.93%).
      [pdf]

    3. Cost and Pricing of Differential Privacy in Demand Reporting for Smart Grids.
      Xin Lou, David Yau, Rui Tan, Peng Cheng.
      IEEE Transactions on Network Science and Engineering (TNSE). Vol. 7, No. 3, July-September 2020.
      [preprint]

    4. A Simulation Study on Smart Grid Resilience under Software-Defined Networking Controller Failures.
      Uttam Ghosh, Xinshu Dong, Rui Tan, Zbigniew Kalbarczyk, David K. Y. Yau, Ravishankar K. Iyer.
      The 2nd Cyber-Physical System Security Workshop (CPSS 2016), co-located with AsiaCSS'16, May 30 - June 3, 2016, Xi'an, China. (Acceptance ratio: 8/27=29%).
      [pdf]

    5. Software-Defined Networking for Smart Grid Resilience: Opportunities and Challenges.
      Xinshu Dong, Hui Lin, Rui Tan; Ravishankar K. Iyer; Zbigniew Kalbarczyk.
      The 1st Cyber-Physical System Security Workshop (CPSS 2015), co-located with AsiaCCS. (Acceptance ratio: 9/26=35%).
      Coordinated Science Laboratory Technical Report, UILU-ENG-15-2203, University of Illinois at Urbana-Champaign, Feb 2015.
      [pdf]

    6. Safety-Assured Collaborative Load Management in Smart Grids.
      Hoang Hai Nguyen, Rui Tan, David K. Y. Yau.
      The 5th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), April 14-17, 2014, Berlin, Germany. (Acceptance ratio: 18/76=23.6%). CPS Week 2014.
      [pdf] [slides]

    7. Go with the Flow: Toward Workflow-Oriented Security Assessment.
      Binbin Chen, Zbigniew Kalbarczyk, David M. Nicol, William H. Sanders, Rui Tan, William G. Temple, Nils Ole Tippenhauer, An Hoa Vu, David K.Y. Yau.
      New Security Paradigms Workshop (NSPW), September 9-12, 2013, Banff, AB, Canada. (Acceptance ratio: 11/32=34%)
      [pdf]