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Haozhe Lei
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2020 – today
- 2024
- [c3]Mingsheng Yin, Tao Li
, Haozhe Lei, Yaqi Hu, Sundeep Rangan, Quanyan Zhu:
Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning. ICRA 2024: 5111-5118 - [c2]Haozhe Lei, Yunfei Ge, Quanyan Zhu:
ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing. MILCOM 2024: 7-12 - [i11]Tao Li, Zilin Bian, Haozhe Lei, Fan Zuo, Ya-Ting Yang, Quanyan Zhu, Zhenning Li, Zhibin Chen, Kaan Ozbay:
Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management. CoRR abs/2407.15025 (2024) - [i10]Tao Li, Zilin Bian, Haozhe Lei, Fan Zuo, Ya-Ting Yang, Quanyan Zhu, Zhenning Li, Kaan Ozbay:
Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning. CoRR abs/2408.02208 (2024) - [i9]Ya-Ting Yang, Haozhe Lei, Quanyan Zhu:
Adaptive Incentive-Compatible Navigational Route Recommendations in Urban Transportation Networks. CoRR abs/2409.00236 (2024) - [i8]Ya-Ting Yang, Haozhe Lei, Quanyan Zhu:
PRADA: Proactive Risk Assessment and Mitigation of Misinformed Demand Attacks on Navigational Route Recommendations. CoRR abs/2409.00243 (2024) - [i7]Haozhe Lei, Yunfei Ge, Quanyan Zhu:
ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing. CoRR abs/2411.00217 (2024) - 2023
- [c1]Tao Li
, Haozhe Lei, Quanyan Zhu:
Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation. ICRA 2023: 7205-7211 - [i6]Mingsheng Yin, Tao Li, Haozhe Lei, Yaqi Hu, Sundeep Rangan, Quanyan Zhu:
Generalizable Wireless Navigation through Physics-Informed Reinforcement Learning in Wireless Digital Twin. CoRR abs/2306.06766 (2023) - [i5]Haozhe Lei, Quanyan Zhu:
Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe Self-Driving in Non-Stationary Environments. CoRR abs/2309.02328 (2023) - [i4]Ya-Ting Yang, Haozhe Lei, Quanyan Zhu:
Strategic Information Attacks on Incentive-Compatible Navigational Recommendations in Intelligent Transportation Systems. CoRR abs/2310.01646 (2023) - 2022
- [i3]Tao Li, Haozhe Lei, Quanyan Zhu:
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis. CoRR abs/2208.00081 (2022) - [i2]Tao Li, Haozhe Lei, Quanyan Zhu:
Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation. CoRR abs/2210.03209 (2022) - [i1]Haozhe Lei, Quanyan Zhu:
Level-k Meta-Learning for Pedestrian-Aware Self-Driving. CoRR abs/2212.08800 (2022)
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