Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments. - Hanjiang Hu; Hesheng Wang 001; Zhe Liu 022; Chenguang Yang 004; Weidong Chen 001; Le Xie 002 (IROS, 2019)

Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments. - Hanjiang Hu; Hesheng Wang 001; Zhe Liu 022; Chenguang Yang 001; Weidong Chen 001; Le Xie 002 (CoRR, 2019)

A Synchronization Approach for Achieving Cooperative Adaptive Cruise Control Based Non-Stop Intersection Passing. - Zhe Liu 022; Huanshu Wei; Hanjiang Hu; Chuanzhe Suo; Hesheng Wang 001; Haoang Li; Yun-Hui Liu 001 (ICRA, 2020)

Domain-invariant Similarity Activation Map Metric Learning for Retrieval-based Long-term Visual Localization. - Hanjiang Hu; Hesheng Wang 001; Zhe Liu 022; Weidong Chen 001 (CoRR, 2020)

DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization. - Hanjiang Hu; Ming Cheng 004; Zhe Liu 022; Hesheng Wang 001 (CoRR, 2020)

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments. - Hanjiang Hu; Baoquan Yang; Weiang Shi; Zhijian Qiao; Hesheng Wang 001 (CoRR, 2020)

vLPD-Net: A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition. - Zhijian Qiao; Hanjiang Hu; Siyuan Chen; Zhe Liu 022; Zhuowen Shen; Hesheng Wang 001 (CoRR, 2020)

Distributed Rendezvous Control of Networked Uncertain Robotic Systems with Bearing Measurements. - Jianing Zhao; Hanjiang Hu; Keyi Zhu; Xiao Yu 002; Hesheng Wang 001 (ICRA, 2021)

Soft Manipulator Fault Detection and Identification Using ANC-based LSTM. - Haoyuan Gu; Hanjiang Hu; Hesheng Wang 001; Weidong Chen 001 (IROS, 2021)

A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition. - Zhijian Qiao; Hanjiang Hu; Weiang Shi; Siyuan Chen; Zhe Liu 022; Hesheng Wang 001 (IROS, 2021)

DASGIL: Domain Adaptation for Semantic and Geometric-Aware Image-Based Localization. - Hanjiang Hu; Zhijian Qiao; Ming Cheng 004; Zhe Liu 022; Hesheng Wang 001 (IEEE Trans. Image Process., 2021)

Robustness Certification of Visual Perception Models via Camera Motion Smoothing. - Hanjiang Hu; Zuxin Liu; Linyi Li 001; Jiacheng Zhu; Ding Zhao (CoRL, 2022)

Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving. - Hanjiang Hu; Zuxin Liu; Sharad Chitlangia; Akhil Agnihotri; Ding Zhao (CVPR, 2022)

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles. - Chejian Xu; Wenhao Ding; Weijie Lyu; Zuxin Liu; Shuai Wang; Yihan He; Hanjiang Hu; Ding Zhao; Bo Li 026 (NeurIPS, 2022)

Domain-Invariant Similarity Activation Map Contrastive Learning for Retrieval-Based Long-Term Visual Localization. - Hanjiang Hu; Hesheng Wang 001; Zhe Liu 022; Weidong Chen 001 (IEEE CAA J. Autom. Sinica, 2022)

Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data. - Zuxin Liu; Zijian Guo 002; Zhepeng Cen; Huan Zhang 001; Yihang Yao; Hanjiang Hu; Ding Zhao (ICML, 2023)

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments. - Hanjiang Hu; Baoquan Yang; Zhijian Qiao; Shiqi Liu 005; Jiacheng Zhu; Zuxin Liu; Wenhao Ding; Ding Zhao; Hesheng Wang 001 (IROS, 2023)

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions. - Lingdong Kong; Shaoyuan Xie; Hanjiang Hu; Lai Xing Ng; Benoit Cottereau; Wei Tsang Ooi (NeurIPS, 2023)

Datasets and Benchmarks for Offline Safe Reinforcement Learning. - Zuxin Liu; Zijian Guo 002; Haohong Lin; Yihang Yao; Jiacheng Zhu; Zhepeng Cen; Hanjiang Hu; Wenhao Yu 003; Tingnan Zhang; Jie Tan 001; Ding Zhao (CoRR, 2023)

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. - Lingdong Kong; Yaru Niu; Shaoyuan Xie; Hanjiang Hu; Lai Xing Ng; Benoit R. Cottereau; Ding Zhao; Liangjun Zhang; Hesheng Wang 001; Wei Tsang Ooi; Ruijie Zhu 002; Ziyang Song 001; et al. (CoRR, 2023)

Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving. - Ye Li; Hanjiang Hu; Zuxin Liu; Ding Zhao (CoRR, 2023)

Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. - Hanjiang Hu; Zuxin Liu; Linyi Li 001; Jiacheng Zhu; Ding Zhao (AISTATS, 2024)

Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation. - Hanjiang Hu; Yujie Yang; Tianhao Wei; Changliu Liu (CoRL, 2024)

Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving. - Ye Li; Hanjiang Hu; Zuxin Liu; Xiaohao Xu; Xiaonan Huang; Ding Zhao (ICRA, 2024)

Real-time safe control of neural network dynamic models with sound approximation. - Hanjiang Hu; Jianglin Lan; Changliu Liu (L4DC, 2024)

Is Your LiDAR Placement Optimized for 3D Scene Understanding? - Ye Li; Lingdong Kong; Hanjiang Hu; Xiaohao Xu; Xiaonan Huang (NeurIPS, 2024)

Optimizing LiDAR Placements for Robust Driving Perception in Adverse Conditions. - Ye Li; Lingdong Kong; Hanjiang Hu; Xiaohao Xu; Xiaonan Huang (CoRR, 2024)

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. - Lingdong Kong; Shaoyuan Xie; Hanjiang Hu; Yaru Niu; Wei Tsang Ooi; Benoit R. Cottereau; Lai Xing Ng; Yuexin Ma; Wenwei Zhang; Liang Pan; Kai Chen 026; Ziwei Liu 002; et al. (CoRR, 2024)

Robust Tracking Control with Neural Network Dynamic Models under Input Perturbations. - Huixuan Cheng; Hanjiang Hu; Changliu Liu (CoRR, 2024)

On the Boundary Feasibility for PDE Control with Neural Operators. - Hanjiang Hu; Changliu Liu (CoRR, 2024)

ModelVerification.jl: A Comprehensive Toolbox for Formally Verifying Deep Neural Networks. - Tianhao Wei; Hanjiang Hu; Luca Marzari; Kai S. Yun; Peizhi Niu; Xusheng Luo; Changliu Liu (CAV (2), 2025)

Safe PDE Boundary Control with Neural Operators. - Hanjiang Hu; Changliu Liu (L4DC, 2025)

Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis. - Yujie Yang; Hanjiang Hu; Tianhao Wei; Shengbo Eben Li; Changliu Liu (J. Artif. Intell. Res., 2025)

Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks. - Hanjiang Hu; Alexander Robey; Changliu Liu (CoRR, 2025)

Verifiable Safety Q-Filters via Hamilton-Jacobi Reachability and Multiplicative Q-Networks. - Jiaxing Li; Hanjiang Hu; Yujie Yang; Changliu Liu (CoRR, 2025)

Training Task Reasoning LLM Agents for Multi-turn Task Planning via Single-turn Reinforcement Learning. - Hanjiang Hu; Changliu Liu; Na Li; Yebin Wang (CoRR, 2025)

Enhancing Certifiable Semantic Robustness via Robust Pruning of Deep Neural Networks. - Hanjiang Hu; Bowei Li; Ziwei Wang 001; Tianhao Wei; Casidhe Hutchison; Eric M. Sample; Changliu Liu (CoRR, 2025)