Haozhe Lei

Orcid: 0009-0005-8309-8051

According to our database1, Haozhe Lei authored at least 18 papers between 2022 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Digital Twin-Based Driver Risk-Aware Predictive Mobility Analytics for Real-Time Situational Awareness Through Cooperative Sensing.
IEEE Trans. Intell. Transp. Syst., November, 2025

Transformer-Based Rate Prediction for Multi-Band Cellular Handsets.
CoRR, September, 2025

Beyond Point Estimates: Likelihood-Based Full-Posterior Wireless Localization.
CoRR, September, 2025

Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation.
CoRR, June, 2025

Traffic Adaptive Moving-window Service Patrolling for Real-time Incident Management during High-impact Events.
CoRR, April, 2025

PRADA: Proactive Risk Assessment and Mitigation of Misinformed Demand Attacks on Navigational Route Recommendations.
IEEE Trans. Inf. Forensics Secur., 2025

Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing With Zero-Shot Reinforcement Learning.
IEEE Open J. Commun. Soc., 2025

2024
Adaptive Incentive-Compatible Navigational Route Recommendations in Urban Transportation Networks.
CoRR, 2024

Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning.
CoRR, 2024

Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management.
CoRR, 2024

ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing.
Proceedings of the IEEE Military Communications Conference, 2024

Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Strategic Information Attacks on Incentive-Compatible Navigational Recommendations in Intelligent Transportation Systems.
CoRR, 2023

Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe Self-Driving in Non-Stationary Environments.
CoRR, 2023

Generalizable Wireless Navigation through Physics-Informed Reinforcement Learning in Wireless Digital Twin.
CoRR, 2023

Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Level-k Meta-Learning for Pedestrian-Aware Self-Driving.
CoRR, 2022

Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis.
CoRR, 2022


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