🤖 About Me

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

• My research topics are Robotics, Robot Perception, Localization, SLAM, and Navigation.

• I have published 70+ peer-reviewed academic papers at the top international robotics journals and conferences,
  such as 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.
  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 with a thesis entitled “Exploration and Mapping with Mobile Robots”,
  supervised by Cyrill Stachniss at the University of Bonn, Germany.

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

📝 Publications

2025

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

  IEEE Transactions on Robotics (T-RO)

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

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

  IEEE Robotics and Automation Letters (RA-L)

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

• [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

2024

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

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  IEEE Robotics and Automation Letters (RA-L)

  Yutong Wang, Chaoyang Jiang, Xieyuanli Chen

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

  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 PDF

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]
  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  IEEE Robotics and Automation Letters (RA-L)

  Jiafeng Cui, Xieyuanli Chen

• Ir-mcl: Implicit representation-based online global localization [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  Robotics: Science and Systems (RSS 2021) Pioneer Workshop

  Xieyuanli Chen

• Range image-based LiDAR localization for autonomous vehicles [PDF]

  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 [PDF]

  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 [PDF]

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

  Andrzej Reinke, Xieyuanli Chen, Cyrill Stachniss

• Efficient localisation using images and OpenStreetMaps [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  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 [PDF]

  IEEE Access

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

2019

• SuMa++: Efficient LiDAR-based Semantic SLAM [PDF]

  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

• 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