Monocular vision-based human following on miniature robotic blimp. - Ningshi Yao; Emily Anaya; Qiuyang Tao; Sungjin Cho; Hongrui Zheng; Fumin Zhang 001 (ICRA, 2017)

Performance Evaluation of Downscaling Sentinel-2 Imagery for Land Use and Land Cover Classification by Spectral-Spatial Features. - Hongrui Zheng; Peijun Du; Jike Chen; Junshi Xia; Erzhu Li; Zhigang Xu; Xiaojuan Li; Naoto Yokoya (Remote. Sens., 2017)

Multisource Earth Observation Data for Land-Cover Classification Using Random Forest. - Zhigang Xu; Jike Chen; Junshi Xia; Peijun Du; Hongrui Zheng; Le Gan (IEEE Geosci. Remote. Sens. Lett., 2018)

F1TENTH: An Open-source Evaluation Environment for Continuous Control and Reinforcement Learning. - Matthew O'Kelly; Hongrui Zheng; Dhruv Karthik; Rahul Mangharam (NeurIPS (Competition and Demos), 2019)

FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis. - Aman Sinha 001; Matthew O'Kelly; Hongrui Zheng; Rahul Mangharam; John C. Duchi; Russ Tedrake (ICML, 2020)

TUNERCAR: A Superoptimization Toolchain for Autonomous Racing. - Matthew O'Kelly; Hongrui Zheng; Achin Jain; Joseph Auckley; Kim Luong; Rahul Mangharam (ICRA, 2020)

An Improved Feature Set for Hyperspectral Image Classification: Harmonic Analysis Optimized by Multiscale Guided Filter. - Wei Zhang 156; Peijun Du; Cong Lin 002; Pingjie Fu; Xin Wang 032; Xuyu Bai; Hongrui Zheng; Junshi Xia; Alim Samat (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Track based Offline Policy Learning for Overtaking Maneuvers with Autonomous Racecars. - Jayanth Bhargav; Johannes Betz; Hongrui Zheng; Rahul Mangharam (CoRR, 2021)

Deriving Spatial Policies for Overtaking Maneuvers with Autonomous Vehicles. - Jayanth Bhargav; Johannes Betz; Hongrui Zheng; Rahul Mangharam (COMSNETS, 2022)

Stress Testing Autonomous Racing Overtake Maneuvers with RRT. - Stanley Bak; Johannes Betz; Abhinav Chawla; Hongrui Zheng; Rahul Mangharam (IV, 2022)

Winning the 3rd Japan Automotive AI Challenge - Autonomous Racing with the Autoware.Auto Open Source Software Stack. - Zirui Zang; Renukanandan Tumu; Johannes Betz; Hongrui Zheng; Rahul Mangharam (IV, 2022)

Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing. - Johannes Betz; Hongrui Zheng; Alexander Liniger; Ugo Rosolia; Phillip Karle; Madhur Behl; Venkat Krovi; Rahul Mangharam (CoRR, 2022)

Gradient-free Multi-domain Optimization for Autonomous Systems. - Hongrui Zheng; Johannes Betz; Rahul Mangharam (CoRR, 2022)

Game-theoretic Objective Space Planning. - Hongrui Zheng; Zhijun Zhuang; Johannes Betz; Rahul Mangharam (CoRR, 2022)

Accelerating Online Reinforcement Learning via Supervisory Safety Systems. - Benjamin David Evans; Johannes Betz; Hongrui Zheng; Herman A. Engelbrecht; Rahul Mangharam; Hendrik W. Jordaan (CoRR, 2022)

Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom. - Johannes Betz; Hongrui Zheng; Zirui Zang; Florian Sauerbeck; Krzysztof Walas; Velin Dimitrov; Madhur Behl; Rosa Zheng; Joydeep Biswas; Venkat Krovi; Rahul Mangharam (CoRR, 2022)

Towards Explainability in Modular Autonomous Vehicle Software. - Hongrui Zheng; Zirui Zang; Shuo Yang 007; Rahul Mangharam (CoRR, 2022)

Bi-CCD: Improved Continuous Change Detection by Combining Forward and Reverse Change Detection Procedure. - Hongrui Zheng; Peijun Du; Shanchuan Guo; Xin Wang 032; Wei Zhang 156; Sicong Liu 001; Xiaojuan Li (IEEE Geosci. Remote. Sens. Lett., 2022)

Attention-Aware Dynamic Self-Aggregation Network for Satellite Image Time Series Classification. - Wei Zhang 156; Peijun Du; Pingjie Fu; Peng Zhang 059; Pengfei Tang; Hongrui Zheng; Yaping Meng; Erzhu Li (IEEE Trans. Geosci. Remote. Sens., 2022)

Bypassing the Simulation-to-Reality Gap: Online Reinforcement Learning Using a Supervisor. - Benjamin David Evans; Johannes Betz; Hongrui Zheng; Herman A. Engelbrecht; Rahul Mangharam; Hendrik W. Jordaan (ICAR, 2023)

Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks. - Zirui Zang; Hongrui Zheng; Johannes Betz; Rahul Mangharam (ICRA, 2023)

Towards Explainability in Modular Autonomous System Software. - Hongrui Zheng; Zirui Zang; Shuo Yang 007; Rahul Mangharam (IV, 2023)

Differentiable Trajectory Generation for Car-like Robots with Interpolating Radial Basis Function Networks. - Hongrui Zheng; Rahul Mangharam (CoRR, 2023)

Strong Chromatic Index of Graphs with Small Girth. - Yuehua Bu; Hongrui Zheng; Hongguo Zhu (COCOON (2), 2024)

Bridging the Gap between Discrete Agent Strategies in Game Theory and Continuous Motion Planning in Dynamic Environments. - Hongrui Zheng; Zhijun Zhuang; Stephanie Wu; Shuo Yang 007; Rahul Mangharam (CoRR, 2024)

STLGame: Signal Temporal Logic Games in Adversarial Multi-Agent Systems. - Shuo Yang 007; Hongrui Zheng; Cristian-Ioan Vasile; George J. Pappas; Rahul Mangharam (L4DC, 2025)