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Zhe Xu

Sch Engr Matter Trnsprt Energy
Asst Professor
Faculty, TEMPE Campus, Mailcode 6106
Biography: 

Zhe Xu is an assistant professor in the School for Engineering of Matter, Transport and Energy at Arizona State University. Before joining ASU, he was a postdoctoral fellow at The Oden Institute for Computational Engineering and Sciences at University of Texas at Austin. He has obtained a PhD degree from the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute in 2018. 

Research Interests: 

The research interests include control theory, machine learning, formal methods and autonomous systems.

Publications: 

Selected Journal Papers

  1. Murat Cubuktepe, Zhe Xu, and Ufuk Topcu, Policy Synthesis of Multi-Agent Systems With Graph Temporal Logic Specifications, IEEE Transactions on Control of Network Systems, 2021.

  2. Bo Wu, Steven Carr, Suda Bharadwaj, Zhe Xu, and Ufuk Topcu, Resilient Distributed Hypothesis Testing With Time-Varying Network Topology, IEEE Transactions on Automatic Control, Regular paper, 2021.

  3. Bo Wu, Murat Cubuktepe, Franck Djeumou, Zhe Xu, and Ufuk Topcu, Switched Linear Systems Meet Markov Decision Processes: Stability Analysis and Policy Synthesis, Conditionally accepted, IEEE Transactions on Automatic Control, 2021.

  4. Zhe Xu, Bo Wu, and Ufuk Topcu, Control Strategies for COVID-19 Epidemic with Vaccination, Shield Immunity and Quarantine: A Metric Temporal Logic Approach, PLOS ONE, 2021.

  5. Ruixuan Yan, Zhe Xu and Agung Julius, Swarm Signal Temporal Logic Inference for Swarm Behavior AnalysisIEEE Robotics & Automation Letters, vol. 4 (3), pp. 3021 - 3028, July, 2019.

  6. Zhe Xu and Agung Julius, Robust Temporal Logic Inference for Provably Correct Fault Detection and Privacy Preservation of Switched SystemsIEEE Systems Journal, vol. 13 (3), pp. 3010 - 3021, April, 2019.
  7. Zhe Xu, Sayan Saha, Botao Hu, Sandipan Mishra and Agung Julius, Advisory Temporal Logic Inference and Controller Design in Human-Robot CollaborationIEEE Transactions on Automation Science and Engineering, vol. 16 (1), pp. 459 - 477, June, 2018.
  8. Zhe Xu, Agung Julius and Joe H. Chow, Energy Storage Controller Synthesis for Power Systems With Temporal Logic SpecificationsIEEE Systems Journal, vol. 13 (1), pp. 748 - 759, October, 2017.
  9. Zhe Xu, Agung Julius and Joe H. Chow, Robust Testing of Cascading Failure Mitigations Based on Power Dispatch and Quick-Start Storage, IEEE Systems Journal, vol. 12 (4), pp. 3063 - 3074, April, 2017.
  10. Zhe Xu, Marc Birtwistle, Calin Belta and Agung Julius, A Temporal Logic Inference Approach for Model DiscriminationIEEE Life Sciences Letters, vol. 2(3), pp. 19-22, December 2016.
  11. Zhe Xu and Agung Julius, Census Signal Temporal Logic Inference for Multiagent Group Behavior Analysis, IEEE Transactions on Automation Science and Engineering, vol. 15(1), pp. 264-277, October 2016.
  12. Chang-Liang Xia, Zhe Xu and Jia-Xin Zhao, A New Direct Power Control Strategy for NPC Three-Level Voltage Source Rectifiers Using a Novel Vector Influence Table Method, Journal of power electronics, vol. 15(1), pp. 106-115, January 2015.

Selected Conference Papers 

  1. Cyrus Neary, Zhe Xu, Bo Wu, Ufuk Topcu, Reward Machines for Cooperative Multi-Agent Reinforcement Learning, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021, acceptance rate 25%.
  2. Jean-Raphaël Gaglione, Daniel Neider, Rajarshi Roy, Ufuk Topcu, Zhe Xu, Learning Linear Temporal Properties from Noisy Data: A MaxSAT Approach, The 19th International Symposium on Automated Technology for Verification and Analysis (ATVA), 2021, regular paper, acceptance rate 25.3%.

  3. Zhe Xu, Bo Wu, Aditya Ojha, Daniel Neider, Ufuk Topcu, Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples, International IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE), 2021.

  4. Zhe Xu, Yuxin Chen and Ufuk Topcu,  Adaptive Teaching of Temporal Logic Formulas to Learners with Preferences, The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021, acceptance rate 21%.
  5. Daniel Neider, Jean-Raphaël Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wu, Zhe Xu, Advice-Guided Reinforcement Learning in a non-Markovian Environment, The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021, acceptance rate 21%.
  6. Zhe Xu, Ivan Gavran, Yousef Ahmad, Rupak Majumdar, Daniel Neider, Ufuk Topcu and Bo Wu, Joint Inference of Reward Machines and Policies for Reinforcement Learning, Proc. International Conference on Automated Planning and Scheduling (ICAPS)Special Track on Planning and Learning, June, 2020, acceptance rate 31.9%.
  7. Murat Cubuktepe, Zhe Xu, and Ufuk Topcu, Policy Synthesis for Factored MDPs with Graph Temporal Logic Specifications, Proc. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2020, acceptance rate 23%.
  8. Franck Djeumou, Zhe Xu, and Ufuk Topcu, Probabilistic Swarm Guidance with Graph Temporal Logic Specifications, Proc. Robotics: Science and Systems (RSS), 2020.
  9. Zhe Xu and Ufuk Topcu, Transfer of Temporal Logic Formulas in Reinforcement LearningProc. International Joint Conferences on Artificial Intelligence (IJCAI), August 2019, acceptance rate 17.9%.
Fall 2021
Course NumberCourse Title
MAE 506Adv Sys Model, Dynamic, Contrl
MAE 593Applied Project
MAE 792Research
Summer 2021
Course NumberCourse Title
MAE 792Research
Spring 2021
Course NumberCourse Title
MAE 792Research