Zeyang Li

Orcid: 0009-0006-2868-1153

Affiliations:
  • Massachusetts Institute of Technology, Laboratory for Information and Decision Systems, Cambridge, MA, USA (PhD)
  • Tsinghua University, Department of Mechanical Engineering, Beijing, China


According to our database1, Zeyang Li authored at least 14 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Dynamic graph with knowledge graph embeddings for blockchain anomaly detection.
Int. J. Mach. Learn. Cybern., June, 2026

Reachability-Augmented Dual Dynamic Programming for Optimal Path Parameterization.
CoRR, May, 2026

A Novel State-Centric Necessary Condition for Time-Optimal Control of Controllable Linear Systems Based on Augmented Switching Laws.
IEEE Trans. Autom. Control., March, 2026

2025
Chattering Phenomena in Time-Optimal Control for High-Order Chain-of-Integrator Systems With Full State Constraints.
IEEE Trans. Autom. Control., August, 2025

Time-Optimal Control for High-Order Chain-of-Integrators Systems With Full State Constraints and Arbitrary Terminal States.
IEEE Trans. Autom. Control., March, 2025

On the consistency of path smoothing and trajectory planning in CNC machining: A surface-centric evaluation.
Robotics Comput. Integr. Manuf., 2025

Smooth policy iteration for zero-sum Markov Games.
Neurocomputing, 2025

2024
Safe Reinforcement Learning With Dual Robustness.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Chattering Phenomena in Time-Optimal Control for High-Order Chain-of-Integrators Systems with Full State Constraints.
CoRR, 2024

2023
Time-Optimal Control for High-Order Chain-of-Integrators Systems with Full State Constraints and Arbitrary Terminal States.
CoRR, 2023

Learning Predictive Safety Filter via Decomposition of Robust Invariant Set.
CoRR, 2023

Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration.
CoRR, 2023

Robust Safe Reinforcement Learning under Adversarial Disturbances.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Smoothing Policy Iteration for Zero-sum Markov Games.
CoRR, 2022


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