Zhuoling Li

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.

05/2024~06/2025, I was a full-time research intern at CVTE.

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.

Publication

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

Journal Papers:

1. Towards Unified 3D Object Detection via Algorithm and Data Unification
   Zhuoling Li, Xiaogang Xu, SerNam Lim, Hengshuang Zhao. (First author)
   2025 | IEEE Transactions on Pattern Analysis and Machine Intelligence | paper

2. 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

3. 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

4. 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

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

6. 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

7. 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. VIP: Vision Instructed Pre-training for Robotic Manipulation
   Zhuoling Li, Liangliang Ren, Jinrong Yang, Yong Zhao, Xiaoyang Wu, Zhenhua Xu, Xiang Bai, Hengshuang Zhao. (First author)
   2025 | ICML 2025 | paper

2. LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence
   Zhuoling Li, Xiaogang Xu, Zhenhua Xu, SerNam Lim, Hengshuang Zhao. (First author)
   2025 | ICML 2025 | paper

3. DriveGPT4-V2: Harnessing Large Language Model Capabilities for Enhanced Closed-Loop Autonomous Driving
   Zhenhua Xu, Yan Bai, Yujia Zhang, Zhuoling Li, Fei Xia, Kwan-Yee K. Wong, Jianqiang Wang, Hengshuang Zhao
   2025 | CVPR 2025 | paper

4. Transplat: Generalizable 3d gaussian splatting from sparse multi-view images with transformers
   Chuanrui Zhang, Yingshuang Zou, Zhuoling Li, Minmin Yi, Haoqian Wang.
   2024 | AAAI 2025 | paper

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

6. 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

7. 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

8. 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

9. 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. Train Once, Deploy Anywhere: Realize Data-Efficient Dynamic Object Manipulation
   Zhuoling Li, Xiaoyang Wu, Zhenhua Xu, Hengshuang Zhao
   2025 | 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

Award

I won the first place in CVPR2023 Autonomous Driving Challenge, 2023.

I won the second award in National Undergraduate Electronics Design Contest, 2018.

I won the second award in China Intelligent Manufacturing Challenge, 2017.

Activity

I gave a talk about 3D visual perception on TalkBeat, 2024.

I hosted a workshop MFM-EAI about multi-modal foundation model and embodied AI in ICML2024, 2024.