Zhe Xu

Orcid: 0000-0002-0440-0912

Affiliations:
  • Arizona State University, Tempe, AZ, USA
  • Rensselaer Polytechnic Institute, Department of Electrical, Computer, and Systems Engineering, Troy, NY, USA (former)


According to our database1, Zhe Xu authored at least 75 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Privacy-Utility Tradeoffs Against Limited Adversaries.
IEEE Trans. Autom. Control., January, 2024

Decentralized graph-based multi-agent reinforcement learning using reward machines.
Neurocomputing, January, 2024

State-Constrained Zero-Sum Differential Games with One-Sided Information.
CoRR, 2024

Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machine.
CoRR, 2024

Pontryagin Neural Operator for Solving Parametric General-Sum Differential Games.
CoRR, 2024

Multi-Trigger-Key: Toward Multi-Task Privacy Preserving in Deep Learning.
IEEE Access, 2024

2023
Reactive synthesis for relay-explorer consensus with intermittent communication.
Autom., August, 2023

Policy Synthesis for Switched Linear Systems With Markov Decision Process Switching.
IEEE Trans. Autom. Control., 2023

Probabilistic Control of Heterogeneous Swarms Subject to Graph Temporal Logic Specifications: A Decentralized and Scalable Approach.
IEEE Trans. Autom. Control., 2023

Value Approximation for Two-Player General-Sum Differential Games with State Constraints.
CoRR, 2023

Solving Two-Player General-Sum Games Between Swarms.
CoRR, 2023

Data-Driven Model Discrimination of Switched Nonlinear Systems with Temporal Logic Inference.
CoRR, 2023

Controller Synthesis for Multi-Agent Systems With Intermittent Communication and Metric Temporal Logic Specifications.
IEEE Access, 2023

Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Non-Parametric Neuro-Adaptive Control.
Proceedings of the European Control Conference, 2023

Reinforcement Learning with Reward Machines in Stochastic Games.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Reinforcement Learning with Temporal-Logic-Based Causal Diagrams.
Proceedings of the Machine Learning and Knowledge Extraction, 2023

Learning Interpretable Temporal Properties from Positive Examples Only.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Byzantine-Resilient Distributed Hypothesis Testing With Time-Varying Network Topology.
IEEE Trans. Autom. Control., 2022

MaxSAT-based temporal logic inference from noisy data.
Innov. Syst. Softw. Eng., 2022

Weighted Graph-Based Signal Temporal Logic Inference Using Neural Networks.
IEEE Control. Syst. Lett., 2022

Learning Temporal Logic Properties: an Overview of Two Recent Methods.
CoRR, 2022

Distributed Differentially Private Control Synthesis for Multi-Agent Systems with Metric Temporal Logic Specifications.
CoRR, 2022

Non-Parametric Neuro-Adaptive Formation Control.
CoRR, 2022

Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing.
CoRR, 2022

Hierarchical Control for Multi-Agent Autonomous Racing.
CoRR, 2022

Non-Parametric Neuro-Adaptive Coordination of Multi-Agent Systems.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

When Shall I Estimate Your Intent? Costs and Benefits of Intent Inference in Multi-Agent Interactions.
Proceedings of the American Control Conference, 2022

2021
Distributed Policy Synthesis of Multiagent Systems With Graph Temporal Logic Specifications.
IEEE Trans. Control. Netw. Syst., 2021

Multi-Trigger-Key: Towards Multi-Task Privacy Preserving In Deep Learning.
CoRR, 2021

Privacy-Utility Trade-Offs Against Limited Adversaries.
CoRR, 2021

Non-Parametric Neuro-Adaptive Control Subject to Task Specifications.
CoRR, 2021

Uncertainty-Aware Signal Temporal logic.
CoRR, 2021

Learning Linear Temporal Properties from Noisy Data: A MaxSAT Approach.
CoRR, 2021

Controller Synthesis for Multi-Agent Systems with Intermittent Communication and Metric Temporal Logic Specifications.
CoRR, 2021

Uncertainty-Aware Signal Temporal Logic Inference.
Proceedings of the Software Verification - 13th International Conference, 2021

Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples.
Proceedings of the Machine Learning and Knowledge Extraction, 2021

Provably Correct Controller Synthesis of Switched Stochastic Systems with Metric Temporal Logic Specifications: A Case Study on Power Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Robust Pandemic Control Synthesis with Formal Specifications: A Case Study on COVID-19 Pandemic.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Learning Linear Temporal Properties from Noisy Data: A MaxSAT-Based Approach.
Proceedings of the Automated Technology for Verification and Analysis, 2021

Reward Machines for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Advice-Guided Reinforcement Learning in a non-Markovian Environment.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Control Strategies for COVID-19 Epidemic with Vaccination, Shield Immunity and Quarantine: A Metric Temporal Logic Approach.
CoRR, 2020

Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples.
CoRR, 2020

Distributed Policy Synthesis of Multi-Agent Systems With Graph Temporal Logic Specifications.
CoRR, 2020

Robust Inference and Verification of Temporal Logic Classifier-in-the-loop Systems.
CoRR, 2020

Temporal Logic Inference for Hybrid System Observation with Spatial and Temporal Uncertainties.
CoRR, 2020

Adaptive Teaching of Temporal Logic Formulas to Learners with Preferences.
CoRR, 2020

Probabilistic Swarm Guidance Subject to Graph Temporal Logic Specifications.
Proceedings of the Robotics: Science and Systems XVI, 2020

Active Task-Inference-Guided Deep Inverse Reinforcement Learning.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Policy Synthesis for Factored MDPs with Graph Temporal Logic Specifications.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Differentially Private Controller Synthesis With Metric Temporal Logic Specifications.
Proceedings of the 2020 American Control Conference, 2020

Resilient Distributed Hypothesis Testing with Time-Varying Network Topology.
Proceedings of the 2020 American Control Conference, 2020

Joint Inference of Reward Machines and Policies for Reinforcement Learning.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

2019
Advisory Temporal Logic Inference and Controller Design for Semiautonomous Robots.
IEEE Trans Autom. Sci. Eng., 2019

Energy Storage Controller Synthesis for Power Systems With Temporal Logic Specifications.
IEEE Syst. J., 2019

Robust Temporal Logic Inference for Provably Correct Fault Detection and Privacy Preservation of Switched Systems.
IEEE Syst. J., 2019

Swarm Signal Temporal Logic Inference for Swarm Behavior Analysis.
IEEE Robotics Autom. Lett., 2019

Controller Synthesis of Wind Turbine Generator and Energy Storage System with Stochastic Wind Variations under Temporal Logic Specifications.
CoRR, 2019

Minimizing the Information Leakage Regarding High-Level Task Specifications.
CoRR, 2019

Transfer of Temporal Logic Formulas in Reinforcement Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Temporal Logic Inference for Classification and Identification.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Information-Guided Temporal Logic Inference with Prior Knowledge.
Proceedings of the 2019 American Control Conference, 2019

Controller Synthesis for Multi-Agent Systems With Intermittent Communication. A Metric Temporal Logic Approach.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Census Signal Temporal Logic Inference for Multiagent Group Behavior Analysis.
IEEE Trans Autom. Sci. Eng., 2018

Robust Testing of Cascading Failure Mitigations Based on Power Dispatch and Quick-Start Storage.
IEEE Syst. J., 2018

Coordinated Control of Wind Turbine Generator and Energy Storage System for Frequency Regulation under Temporal Logic Specifications.
Proceedings of the 2018 Annual American Control Conference, 2018

Robust Temporal Logic Inference for Hybrid System Observation- An Application on Occupancy Detection of Smart Buildings.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Provably correct design of observations for fault detection with privacy preservation.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Optimal energy storage control for frequency regulation under temporal logic specifications.
Proceedings of the 2017 American Control Conference, 2017

2016
Census Signal Temporal Logic Inference for Multi-Agent Group Behavior Analysis.
CoRR, 2016

2015
Temporal Logic Inference with Prior Information: An Application to Robot Arm Movements.
Proceedings of the 5th IFAC Conference on Analysis and Design of Hybrid Systems, 2015


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