🤖 About Me

  • I’m an Associate Professor working at NUDT in China. I also serve as an Associate Editor for IEEE RA-L, ICRA, and IROS.

  • My research focuses on robot learning, perception, and navigation, with the goal of enabling autonomous systems to understand and navigate complex environments. I am particularly interested in self-learning frameworks that leverage spatial-temporal cues for building meaningful representations of the world and improving localization and navigation through continuous interaction with dynamic environments. I have authored over 90 peer-reviewed papers in leading robotics venues, including TRO, RAL, RSS, ICRA, IROS, and CVPR.

  • Here is my extended CV (pdf).

🔥 News

  • I’m recruiting master’s and Ph.D. students in robot perception and navigation since 2022.
    If you’re interested in joining my team, please email me your CV and a brief statement at chenxieyuanli@hotmail.com.

  • I obtained my Ph.D. degree (summa cum laude) with a thesis entitled “LiDAR-Based Semantic Perception for Autonomous Vehicles”,
    supervised by Cyrill Stachniss at the University of Bonn in 2022.

  • I was a member of the Technical Committee of RoboCup Rescue Robot League (RRL) from 2019 to 2023.

.

📝 Publications

2025

  • Grasp Like Humans: Learning Generalizable Multi-Fingered Grasping from Human Proprioceptive Sensorimotor Integration

    IEEE Transactions on Robotics (T-RO)

    Ce Guo, Xieyuanli Chen, Zhiwen Zeng, Zirui Guo, Yihong Li, Haoran Xiao, Dewen Hu, Huimin Lu

  • RING#: PR-by-PE Global Localization with Roto-translation Equivariant Gram Learning

    IEEE Transactions on Robotics (T-RO)

    Sha Lu, Xuecheng Xu, Yuxuan Wu, Haojian Lu, Xieyuanli Chen, Rong Xiong, Yue Wang

  • BEVPlace++: Fast, Robust, and Lightweight LiDAR Global Localization for Unmanned Ground Vehicles

    IEEE Transactions on Robotics (T-RO)

    Lun Luo, Si-Yuan Cao, Xiaorui Li, Jintao Xu, Rui Ai, Zhu Yu, Xieyuanli Chen

  • SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud

    IEEE Transactions on Automation Science and Engineering (T-ASE)

    Neng Wang, Ruibin Guo, Chenghao Shi, Ziyue Wang, Hui Zhang, Huimin Lu, Zhiqiang Zheng, Xieyuanli Chen

  • TiCoSS: Tightening the coupling between semantic segmentation and stereo matching within a joint learning framework

    IEEE Transactions on Automation Science and Engineering (T-ASE)

    Guanfeng Tang, Zhiyuan Wu, Jiahang Li, Ping Zhong, Wei Ye, Xieyuanli Chen, Huimin Lu, Rui Fan

  • Robust Visual Place Recognition Under Variational Views

    IEEE Transactions on Industrial Informatics (T-II)

    Junlang Huang, Defu Lin, Jie Du, Xinyu Jiang, Chuangquan Chen, Xieyuanli Chen, Yimin Zhou, Chi-Man Vong

  • DSBEV: Docking Space Segmentation for Autonomous Surface Vehicle in Bird’s Eye View

    IEEE Transactions on Industrial Informatics (T-II)

    Changsong Pang, Xiaomin Zhang, Xieyuanli Chen, Hu Xu, Yang Yu, Yuwei Cheng

  • UA-LIO: An Uncertainty-Aware LiDAR-Inertial Odometry for Autonomous Driving in Urban Environments

    IEEE Transactions on Instrumentation and Measurement (T-IM)

    Qi Wu, Xieyuanli Chen, Xiangyu Xu, Xinliang Zhong, Xingwei Qu, Songpengcheng Xia, Guoqing Liu, Liu Liu, Wenxian Yu, Ling Pei

  • TRLO: An Efficient LiDAR Odometry with 3D Dynamic Object Tracking and Removal

    IEEE Transactions on Instrumentation and Measurement (T-IM)

    Yanpeng Jia, Ting Wang, Xieyuanli Chen, Shiliang Shao

  • RID-Net: A Hybrid MLP-Transformer network for Robust Point Cloud Registration

    IEEE Robotics and Automation Letters (RA-L)

    Panfei Cheng, Hongshan Yu, Changxiang Liu, Kan Luo, Naveed Akhtar, Xieyuanli Chen

  • SGT-LLC: LiDAR Loop Closing Based on Semantic Graph with Triangular Spatial Topology

    IEEE Robotics and Automation Letters (RA-L)

    Shaocong Wang, Fengkui Cao, Ting Wang,Xieyuanli Chen, Shiliang Shao

  • NeuroVE: Brain-inspired Linear-Angular Velocity Estimation with Spiking Neural Networks

    IEEE Robotics and Automation Letters (RA-L)

    Xiao Li, Xieyuanli Chen, Ruibin Guo, Yujie Wu, Zongtan Zhou, Fangwen Yu, Huimin Lu

  • UGNA-VPR: A Novel Training Paradigm for Visual Place Recognition Based on Uncertainty-Guided NeRF Augmentation

    IEEE Robotics and Automation Letters (RA-L)

    Yehui Shen, Lei Zhang, Qingqiu Li, Xiongwei Zhao, Yue Wang, Huimin Lu, Xieyuanli Chen

  • BEV-LSLAM: A Novel and Compact BEV LiDAR SLAM for Outdoor Environment

    IEEE Robotics and Automation Letters (RA-L)

    Fengkui Cao, Shaocong Wang, Xieyuanli Chen, Ting Wang, Lianqing Liu

  • Self-Supervised Diffusion-Based Scene Flow Estimation and Motion Segmentation with 4D Radar

    IEEE Robotics and Automation Letters (RA-L)

    Yufei Liu, Xieyuanli Chen, Neng Wang, Stepan Andreev, Alexander Dvorkovich, Rui Fan, Huimin Lu

  • OverlapMamba: A Shift State Space Model for LiDAR-based Place Recognition

    IEEE Robotics and Automation Letters (RA-L)

    Jiehao Luo, Jintao Cheng, Qiuchi Xiang, Jin Wu, Rui Fan, Xieyuanli Chen, Xiaoyu Tang

  • A glance over the past decade: road scene parsing towards safe and comfortable autonomous driving

    Autonomous Intelligent Systems

    Rui Fan, Jiahang Li, Jiaqi Li, Jiale Wang, Ziwei Long, Ning Jia, Yanan Liu, Wenshuo Wang, Mohammud J Bocus, Sergey Vityazev,
    Xieyuanli Chen, Junhao Xiao, Stepan Andreev, Huimin Lu, Alexander Dvorkovich

  • Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting

    In Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR 2025)

    Jingyi Xu, Xieyuanli Chen, Junyi Ma, Jiawei Huang, Jintao Xu, Yue Wang, Ling Pei

  • EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar

    In Proc. of the Conference on Advancements of Artificial Intelligence (AAAI 2025)

    Pengyu Zhang, Xieyuanli Chen, Yuwei Chen, Beizhen Bi, Zhuo Xu, Tian Jin, Xiaotao Huang, Liang Shen

  • A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR Data

    In Proc. of the Conference on Advancements of Artificial Intelligence (ICRA 2025)

    Wenbang Deng, Xieyuanli Chen, Qinghua Yu, Yunze He, Junhao Xiao, Huimin Lu

  • RLCNet: A Novel Deep Feature-Matching-Based Method for Online Target-Free Radar-LiDAR Calibration

    In Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA 2025)

    Kai Luan,Chenghao Shi, Xieyuanli Chen,Rui Fan, Zhiqiang Zheng, Huimin Lu

  • InsCMPR: Efficient Cross-Modal Place Recognition Via Instance-Aware Hybrid Mamba-Transformer

    In Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA 2025)

    Shuaifeng Jiao, Zhuoqun Su, Lun Luo, Hongshan Yu, Zongtan Zhou, Huimin Lu, Xieyuanli Chen

  • LuSeg: Efficient Negative and Positive Obstacles Segmentation via Contrast-Driven Multi-Modal Feature Fusion on the Lunar

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2025)

    Shuaifeng Jiao, Zhiwen Zeng, Zhuoqun Su, Xieyuanli Chen, Zongtan Zhou, Huimin Lu

  • Leveraging Semantic Graphs for Efficient and Robust LiDAR SLAM

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2025)

    Neng Wang, Huimin Lu, Zhiqiang Zheng, Yun-Hui Liu, Xieyuanli Chen

  • Image-Goal Navigation Using Refined Feature Guidance and Scene Graph Enhancement

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2025)

    Zhicheng Feng, Xieyuanli Chen, Chenghao Shi, Lun Luo, Zhichao Chen, Yun-Hui Liu, Huimin Lu

  • Improved 2D Hand Trajectory Prediction with Multi-View Consistency

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2025)

    Junyi Ma, Erhang Zhang, Jingyi Xu, Xieyuanli Chen, Hesheng Wang

  • Novel Diffusion Models for Multimodal 3D Hand Trajectory Prediction

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2025)

    Junyi Ma, Wentao Bao, Jingyi Xu, Guanzhong Sun, Xieyuanli Chen, Hesheng Wang

  • Diff-IP2D: Diffusion-Based Hand-Object Interaction Prediction on Egocentric Videos

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2025)

    Junyi Ma, Jingyi Xu, Xieyuanli Chen, Hesheng Wang

  • ResLPR: A LiDAR Data Restoration Network and Benchmark for Robust Place Recognition Against Weather Corruptions [PDF]

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2025)

    Wenqing Kuang, Xiongwei Zhao, Yehui Shen, Congcong Wen, Huimin Lu, Zongtan Zhou, Xieyuanli Chen

  • BEVDiffLoc: End-to-End LiDAR Global Localization in BEV View based on Diffusion Model [PDF]

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2025)

    Ziyue Wang, Chenghao Shi, Neng Wang, Qinghua Yu, Xieyuanli Chen, Huimin Lu

  • Efficient Multi-Modal 3D Object Detector via Instance Level Contrastive Distillation [PDF]

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2025)

    Zhuoqun Su, Huimin Lu, Shuaifeng Jiao, Junhao Xiao, Yaonan Wang, Xieyuanli Chen

  • MRMT-PR: A Multi-Scale Reverse-View Mamba-Transformer for LiDAR Place Recognition

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2025)

    Kan Luo, Jingwen Wang, Hongshan Yu*, Yaonan Wang, Javier Civera, Xieyuanli Chen

  • C-TRAC: Terrain-Adaptive Control for Articulated Tracked Robots via Contact-Aware Reinforcement Learning

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2025)

    Hainan Pan, Kaihong Huang, Xieyuanli Chen, Hongchuan Zhang, Junfeng shi, Chuang Cheng, Bailiang Chen, Huimin Lu

  • Efficient Instance Motion-Aware Point Cloud Scene Prediction

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2025)

    Yiming Fang, Xieyuanli Chen, Neng Wang, Kaihong Huang, Huimin Lu

  • Fusion Scene Context: Robust and Efficient LiDAR Place Recognition in Changing Environments

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2025)

    Fengkui Cao, Yanpeng Jia, Ting Wang, Hesheng Wang, Xieyuanli Chen

  • Fast Intrinsic–Extrinsic Calibration for Pose-Only Structure-from-Motion

    Remote Sensing

    Xiaoyang Tian, Yangbing Ge, Zhen Tan, Xieyuanli Chen, Ming Li, Dewen Hu

  • Bio-Inspired 3D Affordance Understanding from Single Image with Neural Radiance Field for Enhanced Embodied Intelligence

    Biomimetics

    Zirui Guo, Xieyuanli Chen, Zhiqiang Zheng, Huimin Lu, Ruibin Guo

2024

  • Fast and accurate deep loop closing and relocalization for reliable lidar slam

    IEEE Transactions on Robotics (T-RO)

    Chenghao Shi, Xieyuanli Chen, Junhao Xiao, Bin Dai, Huimin Lu

  • Category-Level Multi-Object 9D State Tracking Using Object-Centric Multi-Scale Transformer in Point Cloud Stream

    IEEE Transactions on Multimedia (T-MM)

    Jingtao Sun, Yaonan Wang, Mingtao Feng, Xiaofeng Guo, Huimin Lu, Xieyuanli Chen

  • Efficient and Precise Homo-Hetero Teleoperation Based on an Optimized Upper Limb Exoskeleton

    IEEE/ASME Transactions on Mechatronics (T-MECH)

    Chuang Cheng, Wei Dai, Tuochang Wu, Xieyuanli Chen, Meiping Wu, Junzhi Yu, Jie Jiang, Huimin Lu

  • CV-MOS: A Cross-View Model for Motion Segmentation

    IEEE Transactions on Instrumentation and Measurement (T-IM)

    Xiaoyu Tang, Zeyu Chen, Jintao Cheng, Xieyuanli Chen, Jin Wu, Bohuan Xue

  • Joint scene flow estimation and moving object segmentation on rotational LiDAR data

    IEEE Transactions on Intelligent Transportation Systems (T-ITS)

    Xieyuanli Chen, Jiafeng Cui, Yufei Liu, Xianjing Zhang, Jiadai Sun, Rui Ai, Weihao Gu, Jintao Xu, Huimin Lu

  • IMPS: Informative Map Point Selection for Visual-Inertial SLAM [PDF]

    IEEE Transactions on Intelligent Vehicles (T-IV)

    Changxiang Liu, Hongshan Yu, Qiang Fu, Xieyuanli Chen, Naveed Akhtar, Zhi-Hong Mao

  • PE-VINS: Accurate Monocular Visual-Inertial SLAM With Point-Edge Features

    IEEE Transactions on Intelligent Vehicles (T-IV)

    Changxiang Liu, Hongshan Yu, Panfei Cheng, Wei Sun, Javier Civera, Xieyuanli Chen

  • A survey on global lidar localization: Challenges, advances and open problems

    Intl. Journal of Computer Vision (IJCV)

    Huan Yin, Xuecheng Xu, Sha Lu, Xieyuanli Chen, Rong Xiong, Shaojie Shen, Cyrill Stachniss, Yue Wang

  • GOReloc: Graph-Based Object-Level Relocalization for Visual SLAM

    IEEE Robotics and Automation Letters (RA-L)

    Yutong Wang, Chaoyang Jiang, Xieyuanli Chen

  • CoFiI2P: Coarse-to-Fine Correspondences-Based Image to Point Cloud Registration

    IEEE Robotics and Automation Letters (RA-L)

    Shuhao Kang, Youqi Liao, Jianping Li, Fuxun Liang, Yuhao Li, Xianghong Zou, Fangning Li, Xieyuanli Chen, Zhen Dong, Bisheng Yang

  • SGLC: Semantic Graph-Guided Coarse-Fine-Refine Full Loop Closing for LiDAR SLAM

    IEEE Robotics and Automation Letters (RA-L)

    Neng Wang, Xieyuanli Chen, Chenghao Shi, Zhiqiang Zheng, Hongshan Yu, Huimin Lu

  • Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots

    IEEE Robotics and Automation Letters (RA-L)

    Youqi Liao, Shuhao Kang, Jianping Li, Yang Liu, Yun Liu, Zhen Dong, Bisheng Yang, Xieyuanli Chen

  • Link3d: Linear keypoints representation for 3d lidar point cloud

    IEEE Robotics and Automation Letters (RA-L)

    Yunge Cui, Yinlong Zhang, Jiahua Dong, Haibo Sun, Xieyuanli Chen, Feng Zhu

  • 3D point cloud-based place recognition: a survey [PDF]

    Artificial Intelligence Review

    Kan Luo, Hongshan Yu, Xieyuanli Chen, Zhengeng Yang, Jingwen Wang, Panfei Cheng, Ajmal Mian

  • Cam4docc: Benchmark for camera-only 4d occupancy forecasting in autonomous driving applications

    In Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR 2024)

    Junyi Ma, Xieyuanli Chen, Jiawei Huang, Jingyi Xu, Zhen Luo, Jintao Xu, Weihao Gu, Rui Ai, Hesheng Wang

  • Tfnet: Exploiting temporal cues for fast and accurate lidar semantic segmentation

    In Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR 2024)

    Rong Li, Shijie Li, Xieyuanli Chen, Teli Ma, Juergen Gall, Junwei Liang

  • RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation

    In Proc. of the Conference on Advancements of Artificial Intelligence (AAAI, 2024)

    Changsong Pang, Xieyuanli Chen, Yimin Liu, Huimin Lu, Yuwei Cheng

  • TSCM: A Teacher-Student Model for Vision Place Recognition Using Cross-Metric Knowledge Distillation

    In Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA 2024)

    Yehui Shen, Mingmin Liu, Huimin Lu, Xieyuanli Chen

  • Superfusion: Multilevel lidar-camera fusion for long-range hd map generation

    In Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA 2024)

    Hao Dong, Weihao Gu, Xianjing Zhang, Jintao Xu, Rui Ai, Huimin Lu, Juho Kannala, Xieyuanli Chen

  • Diffusion-Based Point Cloud Super-Resolution for mmWave Radar Data
    In Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA 2024)

    Kai Luan, Chenghao Shi, Neng Wang, Yuwei Cheng, Huimin Lu, Xieyuanli Chen

  • VOOM: Robust Visual Object Odometry and Mapping using Hierarchical Landmarks

    In Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA 2024)

    Yutong Wang, Chaoyang Jiang, Xieyuanli Chen

  • ModaLink: Unifying Modalities for Efficient Image-to-PointCloud Place Recognition

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2024)

    Weidong Xie, Lun Luo, Nanfei Ye, Yi Ren, Shaoyi Du, Minhang Wang, Jintao Xu, Rui Ai, Weihao Gu, Xieyuanli Chen

  • TD-NeRF: Novel Truncated Depth Prior for Joint Camera Pose and Neural Radiance Field Optimization

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2024)

    Zhen Tan, Zongtan Zhou, Yangbing Ge, Zi Wang, Xieyuanli Chen, Dewen Hu

  • Explicit Interaction for Fusion-Based Place Recognition

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2024)

    Jingyi Xu, Junyi Ma, Qi Wu, Zijie Zhou, Yue Wang, Xieyuanli Chen, Wenxian Yu, Ling Pei

2023

  • CVTNet: A cross-view transformer network for LiDAR-based place recognition in autonomous driving environments

    IEEE Transactions on Industrial Informatics (T-II)

    Junyi Ma, Guangming Xiong, Jingyi Xu, Xieyuanli Chen

  • 360-VIO: A Robust Visual–Inertial Odometry Using a 360° Camera

    IEEE Transactions on Industrial Electronics (T-IE)

    Qi Wu, Xiangyu Xu, Xieyuanli Chen, Ling Pei, Chao Long, Junyuan Deng, Guoqing Liu, Sheng Yang, Shilei Wen, Wenxian Yu

  • RDMNet: Reliable dense matching based point cloud registration for autonomous driving

    IEEE Transactions on intelligent transportation systems (T-ITS)

    Chenghao Shi, Xieyuanli Chen, Huimin Lu, Wenbang Deng, Junhao Xiao, Bin Dai

  • Geometry‐based flipper motion planning for articulated tracked robots traversing rough terrain in real‐time [PDF]

    *Journal of Field Robotics (JFR)

    Bailiang Chen, Kaihong Huang, Hainan Pan, Haoran Ren, Xieyuanli Chen, Junhao Xiao, Wenqi Wu, Huimin Lu

  • Extreme low-resolution action recognition with confident spatial-temporal attention transfer [PDF]

    Intl. Journal of Computer Vision (IJCV)

    Yucai Bai, Qin Zou, Xieyuanli Chen, Lingxi Li, Zhengming Ding, Long Chen

  • CCL: Continual Contrastive Learning for LiDAR Place Recognition

    IEEE Robotics and Automation Letters (RA-L)

    Jiafeng Cui, Xieyuanli Chen

  • Ir-mcl: Implicit representation-based online global localization

    IEEE Robotics and Automation Letters (RA-L)

    Haofei Kuang, Xieyuanli Chen, Tiziano Guadagnino, Nicky Zimmerman, Jens Behley, Cyrill Stachniss

  • Building volumetric beliefs for dynamic environments exploiting map-based moving object segmentation

    IEEE Robotics and Automation Letters (RA-L)

    Benedikt Mersch, Tiziano Guadagnino, Xieyuanli Chen, Ignacio Vizzo, Jens Behley, Cyrill Stachniss

  • Static map generation from 3D LiDAR point clouds exploiting ground segmentation

    IEEE Robotics and Autonomous Systems (RAS)

    Mehul Arora, Louis Wiesmann, Xieyuanli Chen, Cyrill Stachniss

  • Online pole segmentation on range images for long-term LiDAR localization in urban environments

    IEEE Robotics and Autonomous Systems (RAS)

    Hao Dong, Xieyuanli Chen, Simo Särkkä, Cyrill Stachniss

  • Deep Reinforcement Learning for Flipper Control of Tracked Robots in Urban Rescuing Environments

    Remote Sensing

    Hainan Pan, Xieyuanli Chen, Junkai Ren, Bailiang Chen, Kaihong Huang, Hui Zhang, Huimin Lu

  • Deep LiDAR-radar-visual fusion for object detection in urban environments

    Remote Sensing

    Yuhan Xiao, Yufei Liu, Kai Luan, Yuwei Cheng, Xieyuanli Chen, Huimin Lu

  • RSS-LIWOM: Rotating solid-state LiDAR for robust LiDAR-Inertial-Wheel odometry and mapping [PDF]

    Remote Sensing

    Shunjie Gong, Chenghao Shi, Hui Zhang, Huimin Lu, Zhiwen Zeng, Xieyuanli Chen

  • Temporal consistent 3D lidar representation learning for semantic perception in autonomous driving

    In Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR 2023)

    Lucas Nunes, Louis Wiesmann, Rodrigo Marcuzzi, Xieyuanli Chen, Jens Behley, Cyrill Stachniss

  • Nerf-loam: Neural implicit representation for large-scale incremental lidar odometry and mapping

    In Proc. of the IEEE/CVF Intl. Conf. on Computer Vision (ICCV 2023)

    Junyuan Deng, Qi Wu, Xieyuanli Chen, Songpengcheng Xia, Zhen Sun, Guoqing Liu, Wenxian Yu, Ling Pei

  • ERASOR2: Instance-aware robust 3D mapping of the static world in dynamic scenes

    In Proc. of Robotics: Science and Systems (RSS 2023)

    Hyungtae Lim, Lucas Nunes, Benedikt Mersch, Xieyunali Chen, Jens Behley, Hyun Myung, Cyrill Stachniss

  • PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird’s-Eye View

    In Proc. of the Intl. Conf. on Artificial Intelligence (IJCAI 2023)

    Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall

  • Learning-based dimensionality reduction for computing compact and effective local feature descriptors

    In Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA 2023)

    Hao Dong, Xieyuanli Chen, Mihai Dusmanu, Viktor Larsson, Marc Pollefeys, Cyrill Stachniss

  • Hybrid Map-Based Path Planning for Robot Navigation in Unstructured Environments

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2023)

    Jiayang Liu, Xieyuanli Chen, Junhao Xiao, Sichao Lin, Zhiqiang Zheng, Huimin Lu

  • ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2023)

    Wenbang Deng, Kaihong Huang, Qinghua Yu, Huimin Lu, Zhiqiang Zheng, Xieyuanli Chen

  • InsMOS: Instance-aware moving object segmentation in LiDAR data

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2023)

    Neng Wang, Chenghao Shi, Ruibin Guo, Huimin Lu, Zhiqiang Zheng, Xieyuanli Chen

  • Neu-nbv: Next best view planning using uncertainty estimation in image-based neural rendering

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2023)

    Liren Jin, Xieyuanli Chen, Julius Rückin, Marija Popović

  • Kernel-Based Attention Network for Point Cloud Compression

    IEEE International Conference on Robotics and Biomimetics (ROBIO 2023)

    Yang Yuan, Xieyuanli Chen, Chenghao Shi, Yunxiao Lv, Huimin Lu, Junhao Xiao

2022

  • SeqOT: A spatial–temporal transformer network for place recognition using sequential LiDAR data

    IEEE Transactions on Industrial Electronics (T-IE)

    Junyi Ma, Xieyuanli Chen, Jingyi Xu, Guangming Xiong

  • OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization [PDF]

    Autonomous Robots

    Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Jens Behley, Cyrill Stachniss

  • Overlaptransformer: An efficient and yaw-angle-invariant transformer network for lidar-based place recognition

    IEEE Robotics and Automation Letters (RA-L)

    Junyi Ma, Jun Zhang, Jintao Xu, Rui Ai, Weihao Gu, Xieyuanli Chen

  • Long-term localization using semantic cues in floor plan maps

    IEEE Robotics and Automation Letters (RA-L)

    Nicky Zimmerman, Tiziano Guadagnino, Xieyuanli Chen, Jens Behley, Cyrill Stachniss

  • Unsupervised class-agnostic instance segmentation of 3d lidar data for autonomous vehicles

    IEEE Robotics and Automation Letters (RA-L)

    Lucas Nunes, Xieyuanli Chen, Rodrigo Marcuzzi, Aljosa Osep, Laura Leal-Taixé, Cyrill Stachniss, Jens Behley

  • Fast sparse LiDAR odometry using self-supervised feature selection on intensity images [PDF]

    IEEE Robotics and Automation Letters (RA-L)

    Tiziano Guadagnino, Xieyuanli Chen, Matteo Sodano, Jens Behley, Giorgio Grisetti, Cyrill Stachniss

  • Receding moving object segmentation in 3d lidar data using sparse 4d convolutions

    IEEE Robotics and Automation Letters (RA-L)

    Benedikt Mersch, Xieyuanli Chen, Ignacio Vizzo, Lucas Nunes, Jens Behley, Cyrill Stachniss

  • Bow3d: Bag of words for real-time loop closing in 3d lidar slam

    IEEE Robotics and Automation Letters (RA-L)

    Yunge Cui, Xieyuanli Chen, Yinlong Zhang, Jiahua Dong, Qingxiao Wu, Feng Zhu

  • Automatic labeling to generate training data for online LiDAR-based moving object segmentation

    IEEE Robotics and Automation Letters (RA-L)

    Xieyuanli Chen, Benedikt Mersch, Lucas Nunes, Rodrigo Marcuzzi, Ignacio Vizzo, Jens Behley, Cyrill Stachniss

  • Segcontrast: 3d point cloud feature representation learning through self-supervised segment discrimination

    IEEE Robotics and Automation Letters (RA-L)

    Lucas Nunes, Rodrigo Marcuzzi, Xieyuanli Chen, Jens Behley, Cyrill Stachniss

  • Transfer learning from synthetic in-vitro soybean pods dataset for in-situ segmentation of on-branch soybean pods

    In Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR 2022)

    Si Yang, Lihua Zheng, Xieyuanli Chen, Laura Zabawa, Man Zhang, Minjuan Wang

  • Ick-track: A category-level 6-dof pose tracker using inter-frame consistent keypoints for aerial manipulation

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2022)

    Jingtao Sun, Yaonan Wang, Mingtao Feng, Danwei Wang, Jiawen Zhao, Cyrill Stachniss, Xieyuanli Chen

  • Efficient spatial-temporal information fusion for lidar-based 3d moving object segmentation

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2022)

    Jiadai Sun, Yuchao Dai, Xianjing Zhang, Jintao Xu, Rui Ai, Weihao Gu, Xieyuanli Chen

2021

  • Multi-scale interaction for real-time lidar data segmentation on an embedded platform

    IEEE Robotics and Automation Letters (RA-L)

    Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall

  • Moving object segmentation in 3D LiDAR data: A learning-based approach exploiting sequential data

    IEEE Robotics and Automation Letters (RA-L)

    Xieyuanli Chen, Shijie Li, Benedikt Mersch, Louis Wiesmann, Jürgen Gall, Jens Behley, Cyrill Stachniss

  • Keypoint matching for point cloud registration using multiplex dynamic graph attention networks

    IEEE Robotics and Automation Letters (RA-L)

    Chenghao Shi, Xieyuanli Chen, Kaihong Huang, Junhao Xiao, Huimin Lu, Cyrill Stachniss

  • Deep compression for dense point cloud maps

    IEEE Robotics and Automation Letters (RA-L)

    Louis Wiesmann, Andres Milioto, Xieyuanli Chen, Cyrill Stachniss, Jens Behley

  • Self-supervised point cloud prediction using 3d spatio-temporal convolutional networks

    In Proc. of the Conf. on Robot Learning (CoRL 2021)

    Benedikt Mersch, Xieyuanli Chen, Jens Behley, Cyrill Stachniss

  • Moving Object Segmentation for LiDAR-based Localization and Mapping

    Robotics: Science and Systems (RSS 2021) Pioneer Workshop

    Xieyuanli Chen

  • Range image-based LiDAR localization for autonomous vehicles

    In Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA 2021)

    Xieyuanli Chen Ignacio Vizzo, Thomas Läbe, Jens Behley, Cyrill Stachniss

  • Poisson surface reconstruction for LiDAR odometry and mapping

    In Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA 2021)

    Ignacio Vizzo, Xieyuanli Chen, Nived Chebrolu, Jens Behley, Cyrill Stachniss.

  • Simple but effective redundant odometry for autonomous vehicles

    In Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA 2021)

    Andrzej Reinke, Xieyuanli Chen, Cyrill Stachniss

  • Efficient localisation using images and OpenStreetMaps

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2021)

    Mengjie Zhou, Xieyuanli Chen, Noe Samano, Cyrill Stachniss, Andrew Calway

  • Mapping the static parts of dynamic scenes from 3D LiDAR point clouds exploiting ground segmentation

    In Proc. of the Europ. Conf. on Mobile Robotics (ECMR 2021)

    Mehul Arora, Louis Wiesmann, Xieyuanli Chen, Cyrill Stachniss

  • Online range image-based pole extractor for long-term lidar localization in urban environments

    In Proc. of the Europ. Conf. on Mobile Robotics (ECMR 2021)

    Hao Dong, Xieyuanli Chen, Cyrill Stachniss

2020

  • OverlapNet: Loop Closing for LiDAR-based SLAM

    In Proc. of Robotics: Science and Systems (RSS 2020)

    Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Olga Vysotska, Alexandre Haag, Jens Behley, Cyrill Stachniss.

  • Learning an Overlap-based Observation Model for 3D LiDAR Localization

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2020)

    Xieyuanli Chen, Thomas Läbe, Lorenzo Nardi, Jens Behley, Cyrill Stachniss

  • Semantic RGB-D SLAM for rescue robot navigation

    IEEE Access

    Wenbang Deng, Kaihong Huang, Xieyuanli Chen, Zhiqian Zhou, Chenghao Shi, Ruibin Guo, Hui Zhang

2019

  • SuMa++: Efficient LiDAR-based Semantic SLAM

    In Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2019)

    Xieyuanli Chen, Andres Milioto, Emanuele Palazzolo, Philippe Giguère, Jens Behley, Cyrill Stachniss.

🎖 Honors and Awards

  • 2025 Outstanding Associate Editor
    RA-L, IEEE Robotics and Automation Society

  • 2024 World’s Top 2% Scientists
    Stanford and Elsevier

  • 2024 Finalist of Best Paper in Robot Learning
    IEEE International Conference on Robotics and Biomimetics (ROBIO)

  • 2022 Summa cum laude (Doctoral degree with distinction, best possible grade)
    University of Bonn

  • 2021 RSS Pioneer
    Robotics: Science and Systems (RSS)

  • 2020 Finalist of Best System Paper
    Robotics: Science and Systems (RSS)

  • 2021, 2022, 2023 Best‑in‑Class in Rescue Robot League
    Rescue Robot League (RRL), RoboCup

📖 Educations

  • 2018.09 - 2022.08, Dr.‑Ing., University of Bonn, ‑ summa cum laude (with distinction, best possible grade)
    Bonn, Germany, SUPERVISOR: Prof. Dr. Cyrill Stachniss
    THESIS: LiDAR‑Based Semantic Perception for Autonomous Vehicles

  • 2015.09 - 2017.12, M.S. in Robotics, National University of Defense Technology
    Hunan, China, SUPERVISOR: Prof. Dr. Hui Zhang
    THESIS: Binary Visual Feature‑based Monocular SLAM

  • 2011.09 - 2015.07, B.S. in Electrical Engineering and Automation, Hunan University
    Hunan, China, SUPERVISOR: Prof. Dr. Jianhao Tan
    THESIS: Control for a Quadrotor UVA

👨‍🔧 Working Experience

ACADEMIC WORKING EXPERIENCE

  • 2022.12 ‑ Present Associate Professor
    National University of Defense Technology

  • 2019.09 ‑ 2022.09 Research Assistant
    University of Bonn

RESEARCH COMMITTEE MEMBERSHIP

  • 2022.09 ‑ Present Associate Editor
    IEEE Robotics and Automation Letters (RA‑L)

  • 2023, 2024, 2025 Associate Editor
    IEEE Intl. Conf. on Robotics & Automation (ICRA)

  • 2023, 2024 Associate Editor
    IEEE/RSJ Intl. Conf. on Intelligent Robots & Systems (IROS)

  • 2019.07 ‑ 2023.07 Technical Committee
    RoboCup Rescue Robot League