Haozhe Lei

Full Publications

Journal and conference papers, arXiv preprints, and selected manuscripts under review.

IEEE ICC Workshops 2026 2026

Transformer-Based Rate Prediction for Multi-Band Cellular Handsets

Ruibin Chen, Haozhe Lei, Hao Guo, Marco Mezzavilla, Hitesh Poddar, Tomoki Yoshimura, Sundeep Rangan

IEEE Transactions on Wireless Communications (under review) 2026

Site-Agnostic Posterior Inference for Indoor Localization with Ray-Tracing Wireless Digital Twins

Haozhe Lei, Roberto Bomfin, Marwa Chafii, Sundeep Rangan

IEEE Journal on Selected Areas in Communications (under review) 2026

MCMB-HDT: A Multi-Cell Multi-Band Handset Digital Twin for Learning-Based Closed-Loop Array Activation

Ruibin Chen, Haozhe Lei, Marco Mezzavilla, Hitesh Poddar, Tomoki Yoshimura, Sundeep Rangan

IEEE GLOBECOM 2026

LOCUS-DT: Localization via Observation-Conditioned Uncertainty Scoring with Digital Twins

Haozhe Lei, Roberto Bomfin, Marwa Chafii, Sundeep Rangan

Asilomar 2026

Likelihood-Based Wireless Localization with Last-Bounce Spatial Features

Roberto Bomfin, Haozhe Lei, Sundeep Rangan, Marwa Chafii

IEEE Transactions on Signal Processing (under review) 2026

Learning a Measurement-to-Posterior Map for Wireless Localization

Haozhe Lei, Hao Guo, Sundeep Rangan

IEEE Control Systems Letters, vol. 10, pp. 391–396 2026

Distributed Online Convex Optimization with Nonseparable Costs and Constraints

Zhaoye Pan, Haozhe Lei, Fan Zuo, Zilin Bian, Tao Li

Asilomar 2026

Beyond Point Estimates: Likelihood-Based Full-Posterior Wireless Localization

Haozhe Lei, Hao Guo, Tommy Svensson, Sundeep Rangan

arXiv preprint 2025

Traffic Adaptive Moving-window Service Patrolling for Real-time Incident Management during High-impact Events

Haozhe Lei, Ya-Ting Yang, Tao Li, Zilin Bian, Fan Zuo, Sundeep Rangan, Kaan Ozbay

Reinforcement Learning Conference (RLC) 2025

Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation

Tao Li, Haozhe Lei, Mingsheng Yin, Yaqi Hu

IEEE Transactions on Information Forensics and Security 2025

PRADA: Proactive Risk Assessment and Mitigation of Misinformed Demand Attacks on Navigational Route Recommendations

Ya-Ting Yang, Haozhe Lei, Quanyan Zhu

IEEE Open Journal of the Communications Society 2025

Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing with Zero-Shot Reinforcement Learning

Tao Li, Haozhe Lei, Hao Guo, Mingsheng Yin, Yaqi Hu, Quanyan Zhu, Sundeep Rangan

IEEE Transactions on Intelligent Transportation Systems 2025

Digital Twin-Based Driver Risk-Aware Predictive Mobility Analytics for Real-Time Situational Awareness Through Cooperative Sensing

Tao Li, Zilin Bian, Haozhe Lei, Fan Zuo, Ya-Ting Yang, Quanyan Zhu, Zhenning Li, Zhibin Chen, Kaan Ozbay

2024 IEEE International Conference on Robotics and Automation (ICRA) 2024

Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning

Mingsheng Yin, Tao Li, Haozhe Lei, Yaqi Hu, Sundeep Rangan, Quanyan Zhu

Transportation Research Part C: Emerging Technologies 2024

Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning

Zilin Bian, Tao Li, Haozhe Lei, Fan Zuo, Ya-Ting Yang, Quanyan Zhu, Zhenning Li, Kaan Ozbay

IEEE Transactions on Intelligent Transportation Systems (under review) 2024

Adaptive Incentive-Compatible Navigational Route Recommendations in Urban Transportation Networks

Ya-Ting Yang, Haozhe Lei, Quanyan Zhu

IEEE Military Communications Conference (MILCOM) 2024

ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing

Haozhe Lei, Yunfei Ge, Quanyan Zhu

arXiv preprint 2023

Strategic Information Attacks on Incentive-Compatible Navigational Recommendations in Intelligent Transportation Systems

Ya-Ting Yang, Haozhe Lei, Quanyan Zhu

2023 IEEE International Conference on Robotics and Automation (ICRA) 2023

Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation

Tao Li, Haozhe Lei, Quanyan Zhu

arXiv preprint 2023

Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis

Tao Li, Haozhe Lei, Quanyan Zhu

arXiv preprint 2023

Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe Self-Driving in Non-Stationary Environments

Haozhe Lei, Quanyan Zhu

arXiv preprint 2023

Cognitive Level-k Meta-Learning for Safe and Pedestrian-Aware Autonomous Driving

Haozhe Lei, Q. Zhu

No results found