😄 Short Bio

I am currently pursuing my Ph.D. in the School of Automotive Studies at Tongji University. I am co-supervised by Prof. Zhu Xichan and Prof. BAI JIE. Before joining TJU, I recived my Bachelor’s Degree in School of Automotive Studies, Harbin Institute of Technology.

My research interests include 3D Object Detection, Occupancy Prediction, 4D Radar Perception, Multimodal Fusion, and Data Closed-Loop. Recent research focuses on integrating LLMs with 4D imaging radar and vision fusion in an end-to-end architecture.

📖 Educations

2019.09 - present, Ph.D. candidate in the School of Automotive Studies, Tongji University, Shanghai.
2015.09 - 2019.07, B.E. in the School of Automotive Studies, Harbin Institute of Technology, Weihai.

💻 Internships

2024.03 - present, Algorithm & Data intern, MOLAR INTELLIGENCE, Hangzhou.
2023.07 - 2023.12, Multimodal fusion intern, NIO, Shanghai.
2020.09 - 2020.12, Vision algorithm intern, HYPERVIEW, Shanghai.

📝 Publications

Zhiqiang Wei, Lianqing Zheng, Jianan Liu et al. “MS-Occ: Multi-Stage LiDAR-Camera Fusion for 3D Semantic Occupancy Prediction,” arXiv preprint arXiv:2503.08336 (2025). (submitted to IEEE RA-L)[Paper]
Lianqing Zheng*, Jianan Liu*, Runwei Guan et al. “Doracamom: Joint 3D Detection and Occupancy Prediction with Multi-view 4D Radars and Cameras for Omnidirectional Perception,” arXiv preprint arXiv:2501.15394 (2025). (submitted to IEEE T-CSVT) [Paper]
Long Yang*, Lianqing Zheng*, Wenjin Ai, Minghao Liu, Sen Li et al. “MetaOcc: Surround-View 4D Radar and Camera Fusion Framework for 3D Occupancy Prediction with Dual Training Strategies,” arXiv preprint arXiv:2501.15384 (2025). (submitted to IEEE RA-L)[Paper]
Lianqing Zheng*, Long Yang*, Qunshu Lin*, Wenjin Ai, Minghao Liu, Shouyi Lu, Jianan Liu et al. “OmniHD-Scenes: A Next-Generation Multimodal Dataset for Autonomous Driving,” arXiv preprint arXiv:2412.10734 (2024). (submitted to IEEE T-PAMI) [Paper] [Project]
Lianqing Zheng, Zhixiong Ma et al., “TJ4DRadSet: A 4D Radar Dataset for Autonomous Driving,” 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Macau, China, 2022. [Paper]
Lianqing Zheng, Sen Li et al., “RCFusion: Fusing 4-D Radar and Camera With Bird’s-Eye View Features for 3-D Object Detection,” IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-14, 2023. [Paper]
Sihan Chen, Lianqing Zheng et al., “UMT-Net: A Uniform Multi-Task Network With Adaptive Task Weighting,” IEEE Transactions on Intelligent Vehicles, vol. 9, no. 1, pp. 2304-2317, 2024. [Paper]
Xiaokai Bai, Zhu Yu, Lianqing Zheng et al., “SGDet3D: Semantics and Geometry Fusion for 3D Object Detection Using 4D Radar and Camera,” IEEE Robotics and Automation Letters, vol. 10, no. 1, pp. 828-835, 2025. [Paper]
Shouyi Lu, Guirong Zhuo, Haitao Wang, Quan Zhou, Huanyu Zhou, Renbo Huang, Minqing Huang, Lianqing Zheng, Qiang Shu. “TDFANet: Encoding Sequential 4D Radar Point Clouds Using Trajectory-Guided Deformable Feature Aggregation for Place Recognition,” (ICRA 2025).[Paper]
Runwei Guan, Jianan Liu, Ningwei Ouyang, Daizong Liu, Xiaolou Sun, Lianqing Zheng, Ming Xu, Yutao Yue, Hui Xiong. “Talk2PC: Enhancing 3D Visual Grounding through LiDAR and Radar Point Clouds Fusion for Autonomous Driving,” arXiv preprint arXiv:2503.08336 (2025). (submitted to Pattern Recognition)[Paper]
Jie Bai., Lianqing Zheng et al., “Radar Transformer: An Object Classification Network Based on 4D MMW Imaging Radar”. Sensors 2021, 21, 3854. [Paper]
Guirong Zhuo, Shouyi Lu, Huanyu Zhou, Lianqing Zheng et al., “4DRVO-Net: Deep 4D Radar–Visual Odometry Using Multi-Modal and Multi-Scale Adaptive Fusion,” IEEE Transactions on Intelligent Vehicles, vol. 9, no. 6, pp. 5065-5079, 2024. [Paper]
Shouyi Lu, Guirong Zhuo, Lu Xiong, Xichazhu, Lianqing Zheng et al., “Efficient Deep-Learning 4D Automotive Radar Odometry Method,” IEEE Transactions on Intelligent Vehicles, vol. 9, no. 1, pp. 879-892, 2024. [Paper]
Bin Tan, Zhixiong Ma, Xichan Zhu, Sen Li, Lianqing Zheng et al., “3-D Object Detection for Multiframe 4-D Automotive Millimeter-Wave Radar Point Cloud,” IEEE Sensors Journal, vol. 23, no. 11, pp. 11125-11138, 2023. [Paper]
Jie Bai, Sen Li, Bin Tan, Lianqing Zheng et al. “Traffic participants classification based on 3D radio detection and ranging point clouds,” IET Radar Sonar Navig. 16(2), 278–290 (2022). [Paper]
Sihan Chen, Zhixiong Ma; Xichan Zhu; Chengkang Wang; Lianqing Zheng et al., “MMTP: Multi-Modal Trajectory Prediction with Interaction Attention and Adaptive Task Weighting,” 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Macau, China, 2022. [Paper]

🎖 Honors and Awards

2023-2024 Weichai Doctoral Scholarship (top 5%, ￥20,000) [IMG]
2021-2022 Outstanding Doctoral Freshman Scholarship (top 20%, ￥5,000) [IMG]
2020-2021 Hydra-vision Scholarship (top 10%, ￥10,000) [IMG]
2020 Second Prize in the 17th “Huawei Cup” Chinese Postgraduate Mathematical Contest in Modeling [IMG]
2019 Outstanding Graduate of Shandong Province (top 5%) [IMG]
2017-2018 China National Scholarship (top 1%, ￥8,000) [IMG]
2016-2017 First-Class Academic Scholarship (top 5%, ￥1,500) [IMG]

✅ Services

Reviewer of IEEE ICRA, IEEE ITSC