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  • Northeastern University (NEU)
  • Shenyang, China

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LeoZhiheng/README.md

Hi 👋 I am Zhiheng Li


🌱 I am a second-year PhD Student at the Faculty of Robot Science and Engineering, Northeastern University (NEU), supervised by Prof. Zheng Fang
🤔 Focus on Robot and Deep Learning. Still exploring...
😄 Like robots and programming
✨ I’m currently learning everything

:) Hope do real, not just paper! Looking forward to communicating with everyone!
(My WeChat: lizhiheng469911, My Email: [email protected])

My subject:
Semantic Perception: 3D Detection (MMInsectDet), Tracking (MTM-Track & MMF-Track) and Segmentation (StreamMOS)
Geometric Perception: Odometry and Mapping (CAO-RONet), Gaussian Splatting (Super4DR)

Representative works:
  1. Zhiheng Li, Yubo Cui, Ningyuan Huang, Chenglin Pang, Zheng Fang*. CAO-RONet: A Robust 4D Radar Odometry with Exploring More Information from Low-Quality Points. IEEE International Conference on Robotics and Automation (ICRA), 2025. [Paper] [Code]

  2. Zhiheng Li, Yubo Cui, Jiexi Zhong, Zheng Fang*. StreamMOS: Streaming Moving Object Segmentation with Multi-View Perception and Dual-Span Memory. IEEE Robotics and Automation Letters (RA-L), 2024. [Paper] [Code] [Vedio]

  3. Zhiheng Li, Yubo Cui, Zheng Fang*. Intersection is also needed: A Novel LiDAR-based Intersection Dataset and Detection Method. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2024. [Paper] [Vedio]

  4. Zhiheng Li, Yubo Cui, Yu Lin, and Zheng Fang*. MMF-Track: Multi-modal Multi-level Fusion for 3D Single Object Tracking. IEEE Transactions on Intelligent Vehicles (TIV), 2023. [Paper] [Vedio]

  5. Zhiheng Li, Yu Lin, Yubo Cui, Shuo Li, Zheng Fang*. Motion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking. IEEE Robotics and Automation Letters (RA-L), 2023. [Paper] [Code] [Vedio]

Other works:
  1. Weihua Wang, Yubo Cui, Xiangru Lin, Zhiheng Li, Zheng Fang*. Towards 3D Object-Centric Feature Learning for Semantic Scene Completion. Association for the Advancement of Artificial Intelligence (AAAI), 2026. [Paper]

  2. Yubo Cui, Zhiheng Li, Zheng Fang*. Dynamic Clustering Transformer for LiDAR-Based 3D Object Detection. Pattern Recognition (PR), 2025. [Paper]

  3. Ningyuan Huang, Zhiheng Li, Chenglin Pang, Zheng Fang*. RDN: An Efficient Denoising Network for 4D Radar Point Clouds. IEEE International Conference on Intelligent Robots and Systems (IROS), 2025. [Paper]

  4. Pu Xu, Haoming Liu, Zhiheng Li, Zhaoqiang Bai, Zheng Fang*. Target-aware Viewpoint Generation for Active Robotic Exploration in Unknown Environments. IEEE International Conference on Robotics and Automation (ICRA), 2025. [Paper] [Vedio]

  5. Yubo Cui, Zhikang Zhou, Xiaoqing Ye, Xiao Tan, Zhiheng Li, Zheng Fang*. Coupling and Decoupling: Towards Temporal Feedback for 3D Object Detection. IEEE Transactions on Multimedia (TMM), 2025. [Paper]

  6. Yubo Cui, Zhiheng Li, Jiaqiang Wang, Zheng Fang*. LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba. Association for the Advancement of Artificial Intelligence (AAAI), 2025. [Paper]

  7. Jiexi Zhong, Zhiheng Li, Yubo Cui, Zheng Fang*. 4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation. IEEE Robotics and Automation Letters (RA-L), 2024, #1 and #2 on the SemanticKITTI MOS & Multi-scan Segmentation leaderboards. [Paper]

  8. Yu Lin, Zhiheng Li, Yubo Cui, Zheng Fang*. SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud Tracking. IEEE International Conference on Robotics and Automation (ICRA), 2024, Best Paper Finalist. [Paper] [Code]

  9. Yubo Cui, Zheng Fang*, Zhiheng Li, Shuo Li, Yu Lin. HyGFNet: Hybrid Geometry-Flow Learning Network for 3D Single Object Tracking. IEEE Transactions on Intelligent Vehicles (TIV), 2024. [Paper]

  10. Shuo Li, Yubo Cui, Zhiheng Li, Zheng Fang*. FlowTrack: Point-level Flow Network for 3D Single Object Tracking. IEEE International Conference on Intelligent Robots and Systems (IROS), 2024. [Paper]

  11. Yubo Cui, Zhiheng Li, Zheng Fang*. STTracker: Spatio-Temporal Tracker for 3D Single Object Tracking. IEEE Robotics and Automation Letters (RA-L), 2023. [Paper]

  12. Yubo Cui, Jiayao Shan, Zuoxu Gu, Zhiheng Li, Zheng Fang*. Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking. IEEE Robotics and Automation Letters (RA-L), 2022. [Paper] [Code]

Video: The demo of the above works can be found on my Bilibili Account (被鲸鱼吃的fish).

Pinned Loading

  1. NEU-REAL/MTM-Tracker NEU-REAL/MTM-Tracker Public

    [RAL'23] Motion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking

    Python 12

  2. NEU-REAL/CAO-RONet NEU-REAL/CAO-RONet Public

    [ICRA'25] CAO-RONet: A Robust 4D Radar Odometry with Exploring More Information from Low-Quality Points

    Python 17

  3. NEU-REAL/StreamMOS NEU-REAL/StreamMOS Public

    [RAL'24] StreamMOS: Streaming Moving Object Segmentation with Multi-view Encoding and Long/Short-Term Memory

    Python 28 2

  4. NEU-REAL/Super4DR NEU-REAL/Super4DR Public

    [Under Review] Super4DR: 4D Radar-centric Self-supervised Odometry and Gaussian-based Map Optimization

    11