Hanjiang Hu

According to our database, Hanjiang Hu authored at least 30 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation.

Hanjiang Hu, Yujie Yang, Tianhao Wei, Changliu Liu

CoRR, 2024

Robust Tracking Control with Neural Network Dynamic Models under Input Perturbations.

Huixuan Cheng, Hanjiang Hu, Changliu Liu

CoRR, 2024

Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis.

Yujie Yang, Hanjiang Hu, Tianhao Wei, Shengbo Eben Li, Changliu Liu

CoRR, 2024

ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks.

Tianhao Wei, Luca Marzari, Kai S. Yun, Hanjiang Hu, Peizhi Niu, Xusheng Luo, Changliu Liu

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, Ziwei Liu, Weichao Qiu, Wei Zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingwei Wang, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, Yubo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu

CoRR, 2024

Optimizing LiDAR Placements for Robust Driving Perception in Adverse Conditions.

Ye Li, Lingdong Kong, Hanjiang Hu, Xiaohao Xu, Xiaonan Huang

CoRR, 2024

Real-time safe control of neural network dynamic models with sound approximation.

Hanjiang Hu, Jianglin Lan, Changliu Liu

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations.

Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving.

Ye Li, Hanjiang Hu, Zuxin Liu, 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, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu

CoRR, 2023

Datasets and Benchmarks for Offline Safe Reinforcement Learning.

Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao

CoRR, 2023

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions.

Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit Cottereau, Wei Tsang Ooi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments.

Hanjiang Hu, Baoquan Yang, Zhijian Qiao, Shiqi Liu, Jiacheng Zhu, Zuxin Liu, Wenhao Ding, Ding Zhao, Hesheng Wang

IROS, 2023

Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data.

Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao

Proceedings of the International Conference on Machine Learning, 2023

2022

Domain-Invariant Similarity Activation Map Contrastive Learning for Retrieval-Based Long-Term Visual Localization.

Hanjiang Hu, Hesheng Wang, Zhe Liu, Weidong Chen

IEEE CAA J. Autom. Sinica, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving.

Hanjiang Hu, Zuxin Liu, Sharad Chitlangia, Akhil Agnihotri, Ding Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Robustness Certification of Visual Perception Models via Camera Motion Smoothing.

Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao

Proceedings of the Conference on Robot Learning, 2022

2021

DASGIL: Domain Adaptation for Semantic and Geometric-Aware Image-Based Localization.

Hanjiang Hu, Zhijian Qiao, Ming Cheng, Zhe Liu, Hesheng Wang

IEEE Trans. Image Process., 2021

A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition.

Zhijian Qiao, Hanjiang Hu, Weiang Shi, Siyuan Chen, Zhe Liu, Hesheng Wang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Soft Manipulator Fault Detection and Identification Using ANC-based LSTM.

Haoyuan Gu, Hanjiang Hu, Hesheng Wang, Weidong Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Distributed Rendezvous Control of Networked Uncertain Robotic Systems with Bearing Measurements.

Jianing Zhao, Hanjiang Hu, Keyi Zhu, Xiao Yu, Hesheng Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

vLPD-Net: A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition.

Zhijian Qiao, Hanjiang Hu, Siyuan Chen, Zhe Liu, Zhuowen Shen, Hesheng Wang

CoRR, 2020

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments.

Hanjiang Hu, Baoquan Yang, Weiang Shi, Zhijian Qiao, Hesheng Wang

CoRR, 2020

DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization.

Hanjiang Hu, Ming Cheng, Zhe Liu, Hesheng Wang

CoRR, 2020

Domain-invariant Similarity Activation Map Metric Learning for Retrieval-based Long-term Visual Localization.

Hanjiang Hu, Hesheng Wang, Zhe Liu, Weidong Chen

CoRR, 2020

A Synchronization Approach for Achieving Cooperative Adaptive Cruise Control Based Non-Stop Intersection Passing.

Zhe Liu, Huanshu Wei, Hanjiang Hu, Chuanzhe Suo, Hesheng Wang, Haoang Li, Yun-Hui Liu

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments.

Hanjiang Hu, Hesheng Wang, Zhe Liu, Chenguang Yang, Weidong Chen, Le Xie

CoRR, 2019

Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments.

Hanjiang Hu, Hesheng Wang, Zhe Liu, Chenguang Yang, Weidong Chen, Le Xie

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019