Zhuoling
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Zhuoling Li

I am now pursuing the PhD degree at the Computer Science Department, the University of Hong Kong, where I work on embodied intelligence and 3D visual perception, etc. Before that, I received the Bachelor degree from School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, and received the Master Degree from Shenzhen International Graduate School, Tsinghua University. I have published many papers in top conferences and journals, and also served as reviewers for several top conferences and IEEE Transactions journals, e.g., CVPR, ICCV, ECCV.

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News

  • 9/2024, GroupLane is accepted for publication in IEEE Robotics and Automation Letters.

  • 5/2024, I am hosting a workshop MFM-EAI about multi-modal foundation model and embodied AI in ICML2024. Welcome to join us.

  • 4/2024, One of my papers is selected as a highlight of CVPR2024 (top 11.9%).

  • 3/2024, One of my papers is accepted by CVPR2024.

  • 6/2023, We achieve 1st place in the OpenLane Topology Challenge, which is held in conjunction with the CVPR 2023 Workshop on Endto-End Autonomous Driving and CVPR 2023 Workshop on Vision-Centric Autonomous Driving Workshop.

    • Experience

  • 09/2016~06/2020, I was pursuing the Bachelor degree in Huazhong University of Science and Technology. During this period, I was advised academically by Prof. Shiping Wen and Prof. Yuanzheng Li.

  • 03/2020~06/2020, I was a full-time research intern at the Knowledge Computing Group, Microsoft Research Asia.

  • 09/2020~06/2023, I was pursuing the Master degree in Tsinghua University. During this period, I was advised academically by Prof. Haoqian Wang.

  • 05/2021~11/2021, I was a full-time research intern at the Autonomous Driving Group, Huawei Noah's Ark Lab.

  • 12/2022~07/2023, I was a full-time research intern at the Base Model Group, MEGVII Technology.

  • 09/2023~Now, I am pursuing the PhD degree in the University of Hong Kong. During this period, I was advised academically by Prof. Hengshuang Zhao.

  • 05/2024~Now, I am a full-time research intern at CVTE.

    • Publication

    I am interested in developing outstanding embodied artificial intelligence systems and vision perception models.

    Journal Papers:

    1. GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping
      Zhuoling Li, Chunrui Han, Zheng Ge, Jinrong Yang, En Yu, Haoqian Wang, Hengshuang Zhao, Xiangyu Zhang. (First author)
      2024 | IEEE Robotics and Automation Letters | paper

    2. Efficient Few-shot Classification via Contrastive Pre-training on Web Data
      Zhuoling Li, Haohan Wang, Tymoteusz Swistek, En Yu, Haoqian Wang. (First author)
      2022 | IEEE Transactions on Artificial Intelligence | paper

    3. Relationtrack: Relation-aware Multiple Object Tracking with Decoupled Representation
      En Yu*, Zhuoling Li*, Shoudong Han, Hongwei Wang. (Co-First author)
      2022 | IEEE Transactions on Multimedia | paper

    4. Few-shot Steel Surface Defect Detection
      Haohan Wang*, Zhuoling Li*, Haoqian Wang. (Co-First author)
      2021 | IEEE Transactions on Instrumentation and Measurement | paper

    5. Deep Learning based Densely Connected Network for Load Forecasting
      Zhuoling Li, Yuanzheng Li, Yun Liu, Ping Wang, Renzhi Liu, Hoay Beng Gooi. (First author)
      2020 | IEEE Transactions on Power Systems | paper

    6. CLU-CNNs: Object detection for medical images
      Zhuoling Li, Minghui Dong, Shiping Wen, Xiang Hu, Pan Zhou, Zhigang Zeng. (First author)
      2019 | Neurocomputing | paper | Highly Cited Paper

    Conference Papers:

    1. UniMODE: Unified Monocular 3D Object Detection
      Zhuoling Li, Xiaogang Xu, SerNam Lim, Hengshuang Zhao. (First author)
      2024 | CVPR 2024 | paper | Highlight

    2. The 1st-place Solution for CVPR 2023 OpenLane Topology in Autonomous Driving Challenge
      Dongming Wu, Fan Jia, Jiahao Chang, Zhuoling Li, Jianjian Sun, Chunrui Han, Yingfei Liu, Zheng Ge, Tiancai Wang.
      2023 | CVPR2023 Autonomous Driving Challenge | paper

    3. Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation
      En Yu, Songtao Liu, Zhuoling Li, Jinrong Yang, Zeming Li, Shoudong Han, Wenbing Tao.
      2023 | AAAI 2023 | paper

    4. Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection
      Zhuoling Li*, Zhan Qu*, Yang Zhou, Jianzhuang Liu, Haoqian Wang, Lihui Jiang. (First author)
      2022 | CVPR 2022 | paper | Oral

    5. Towards Discriminative Representation: Multi-view Trajectory Contrastive Learning for Online Multi-object Tracking
      En Yu*, Zhuoling Li*, Shoudong Han. (Co-First author)
      2022 | CVPR 2022 | paper

    Preprint Papers:

    1. LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence
      Zhuoling Listrong>, Xiaogang Xu, Zhenhua Xu, SerNam Lim, Hengshuang Zhao.
      2024 | Arxiv | paper

    2. Motrv3: Release-fetch supervision for end-to-end multi-object tracking
      En Yu, Tiancai Wang, Zhuoling Li, Yuang Zhang, Xiangyu Zhang, Wenbing Tao
      2023 | Arxiv | paper

    3. VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection
      Zhuoling Li, Chuanrui Zhang, Wei-Chiu Ma, Yipin Zhou, Linyan Huang, Haoqian Wang, SerNam Lim, Hengshuang Zhao (First author)
      2023 | Arxiv | paper

    4. Delving into the Pre-training Paradigm of Monocular 3D Object Detection
      Zhuoling Li, Chuanrui Zhang, En Yu, Haoqian Wang. (First author)
      2022 | Arxiv | paper

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