Dr. Chenglu Wen is a Professor at the Department of Artificial Intelligence at Xiamen University. She was the deputy head of the Department of Artificial Intelligence. She is mainly engaged in the research of 3D scene perception and understanding, LiDAR point cloud processing, and 3D vision. She has been granted four National Natural Science Foundation of China projects. She has published over 100 papers and authorized over ten invention patents. 

She received the 2022 ISPRS Otto von Gruber Award (www.isprs.org/society/awards/gruber.aspx), the 2020 China LiDAR Youth Science and Technology Award, and Best Presentation of the 2023 International Mobile Mapping Techology Conference, and Best Paper of the 2017 International Mobile Mapping Technology Conference. She serves as the Senior Editor of IEEE Transactions on Intelligent Transportation Systems, and Associate Editor of IEEE Geoscience and Remote Sensing Letters. She is also the co-chair of ISPRS working group I/2 Mobile Mapping Technology (2022-2026). 

Selected Publications:

--Qiming Xia, Longhui Zheng, Shijia Zheng, Xun Huang, Hai Wu, Chenglu Wen*, Cheng Wang, DOtA++: -Unsupervised and Collaboratively Detect Objects from Multi-agent Observations with Multi-modal Prior Constraints, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI) 2026

-Hai Wu, Shijia Zhao, Xun Huang, Qiming Xia, Chenglu Wen*, Li Jiang, Xin Li, Cheng Wang, Unsupervised 3D Object Detection by Commonsense Clue, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI) 2025

-Yudi Dai, Zhiyong Wang, Xiping Lin, Chenglu Wen*, Lan Xu, Siqi Shen, Yuexin Ma, Cheng Wang, HiSC4D: Human-centered interaction and 4D Scene Capture in Large-scale Space Using Wearable IMUs and LiDAR, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI) 2024

-Wenkai Lin, Zhihong Liu, Chenglu Wen*, X-MoGe: A Cross-Modal Adaptation Framework with Mixture-of-Experts and Geometry Guidance for Heterogeneous Collaborative Perception, ICML 2026

-Weijia Li, Haoen Xiang, Tianxu Wang, Shuaibing Wu, Qiming Xia, Cheng Wang, Chenglu Wen*, V2U4Real: A Real-world Large-scale Dataset for Vehicle-to-UAV Cooperative Perception, CVPR 2026

-Leyuan Xing, Huanjia Zhang, Dongyu Pan, Hai Wu, Qiming Xia, Kezheng Xiong, Wen Li, Chenglu Wen*, Cheng Wang*, TACO: Task-Aware Contrastive Learning for Joint LiDAR Localization and 3D Object Detection, CVPR 2026

-Xun Huang, Shijia Zhao, Yunxiang Wang, Xin Lu, Wanfa Zhang, Rongsheng Qu, Weixin Li*, Yunhong Wang, Chenglu Wen*, MSGNav: Unleashing the Power of Multi-modal 3D Scene Graph for Zero-Shot Embodied Navigation, CVPR 2026

-Qiming Xia, Hongwei Lin, Wei Ye, Yadan Luo, Shijia Zhao, Hai Wu, Chenglu Wen*, Cheng Wang, Label-efficient Outdoor 3D Object Detection via Single Click Annotation from LiDAR Point Clouds, ISPRS Journal of Photogrammetry and Remote Sensing (JP&RS) 2026

-Shijia Zhao, Qiming Xia, Xusheng Guo, Pufan Zou, Maoji Zheng, Hai Wu, Chenglu Wen*, Cheng Wang, SP3D: Boosting Sparsely-Supervised 3D Object Detection via Accurate Cross-Modal Semantic Prompts, CVPR 2025 Highlight

-Qiming Xia, Wenkai Lin, Haoen Xiang, Xun Huang, Siheng Chen, Zhen Dong, Cheng Wang, Chenglu Wen*, Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels, CVPR 2025

-Xun Huang, Jinlong Wang, Qiming Xia, Siheng Chen, Bisheng Yang, Xin Li, Cheng Wang, Chenglu Wen*, V2X-R: Cooperative LiDAR-4D Radar Fusion for 3D Object Detection with Denoising Diffusion, CVPR 2025

-Hongwei Lin, Dongyu Pan, Qiming Xia, Hai Wu, Cheng Wang, Siqi Shen, Chenglu Wen*, Pretend Benign: A Stealthy Adversarial Attack by Exploiting Vulnerabilities in Cooperative Perception, ICCV 2025

-Hai Wu, Hongwei Lin, Xusheng Guo, Xin Li, Mingming Wang, Cheng Wang, Chenglu Wen*, Motal: Unsupervised 3D Object Detection by Modality and Task-specific Knowledge Transfer, ICCV 2025

-Wenkai Lin, Qiming Xia, Wen Li, Xun Huang, Chenglu Wen*, V2VLoc: Robust GNSS-Free Collaborative Perception via LiDAR Localization, AAAI 2026

-Xusheng Guo, Wanfa Zhang, Shijia Zhao, Qiming Xia, Xiaolong Xie, Mingming Wang, Hai Wu*, Chenglu Wen*, OWL: Unsupervised 3D Object Detection by Occupancy Guided Warm-up and Large Model Priors Reasoning, AAAI 2026

-Longhui Zheng, Qiming Xia, Xiaolu Chen, Zhaoliang Liu, Chenglu Wen*, Cheng Wang, WinMamba: Multi-Scale Shifted Windows in State Space Model for 3D Object Detection, AAAI 2026

-Maoji Zheng, Ziyu Xu, Qiming Xia, Hai Wu, Chenglu Wen*, Cheng Wang, Seg2Box: 3D Object Detection by Point-Wise Semantics Supervision, AAAI 2025

-Pufan Zou, Shijia Zhao, Weijie Huang, Qiming Xia, Chenglu Wen*, Wei Li*, Cheng Wang, AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction, AAAI 2025

-Xun Huang, Ziyu Xu, Hai Wu, Jinlong Wang, Chenglu Wen*, Cheng Wang, L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection, AAAI 2025 oral

-Wei Ye, Qiming Xia, Hai Wu, Zhen Dong, Ruofei Zhong, Cheng Wang, Chenglu Wen*, Fade3D: Fast and Deployable 3D Object Detection for Autonomous Driving, IEEE Transactions on Intelligent Transportation Systems (TITS) 2025

-Kezheng Xiong, Haoen Xiang, Qingshan Xu, Chenglu Wen*, Siqi Shen, Jonathan Li, Cheng Wang, Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration, NeurIPS 2024

-Hai Wu, Shijia Zhao, Xun Huang, Chenglu Wen*, Xin Li, Cheng Wang, Commonsense Prototype for Outdoor Unsupervised 3D Object Detection, CVPR 2024

-Qiming Xia, Wei Ye, Hai Wu, Shijia Zhao, Leyuan Xing, Xun Huang, Jinhao Deng, Xin Li, Chenglu Wen*, Cheng Wang, HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusionfor Sparsely-Supervised 3D Object Detection, CVPR 2024

-Weijie Huang, Pufan Zou, Yan Xia, Chenglu Wen*, Yu Zang, Cheng Wang, OPOCA:One Point One Class Annotation for LiDAR Point Cloud Semantic Segmentation, IEEE Transactions on Geoscience and Remote Sensing (TGRS) 2024

-Jinhao Deng, Wei Ye, Hai Wu, Xun Huang, Qiming Xia, Jin Fang, Wei Li*, Chenglu Wen*, Xin Li, Cheng Wang, CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection, ECCV 2024

-Kezheng Xiong, Maoji Zheng, Chenglu Wen*, Qingshan Xu, Siqi Shen*, Cheng Wang, SPEAL: Skeletal-Prior Embedded Attention Learning for Cross-Source Point Cloud Registration, AAAI 2024

-Xun Huang, Hai Wu, Chenglu Wen*, Xiaoliang Fan, Xin Li, Cheng Wang, Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection, AAAI 2024

-Qiming Xia, Jinhao Deng, Chenglu Wen*, Shaoshuai Shi, Xin Li, Cheng Wang, CoIn: Contrastive Instance Feature Mining for 3D Object Detection with Very Limited Annotations, ICCV 2024

-Hai Wu, Chenglu Wen*, Shaoshuai Shi, Xin Li, Cheng Wang, Virtual Sparse Convolution for Multimodal 3D Object Detection, CVPR 2023

-Yudi Dai, YiTai Lin, XiPing Lin, Chenglu Wen*, Lan Xu, Hongwei Yi, Siqi Shen, Yuexin Ma, Cheng Wang, SLOPER4D: A Scene-Aware Dataset For Global 4D Human Pose Estimation In Urban Environments, CVPR 2023

-Qing Li, Cheng Wang, Chenglu Wen*, Xin Li, DeepSIR: Deep Semantic Iterative Registration for LiDAR Point Clouds, Pattern Recognition(PR) 2023

-Junhao Zhao, Weijie Huang, Hai Wu, Chenglu Wen*, Bo Yang, Yulan Guo, Cheng Wang, SemanticFlow: Semantic Segmentation of Sequential LiDAR Point Clouds from Sparse Frame Annotations, IEEE Transactions on Geoscience and Remote Sensing (TGRS) 2023

-Hai Wu, Chenglu Wen*, Wei Li, Xin Li, Ruigang Yang, Cheng Wang, Transformation-Equivariant 3D Object Detection for Autonomous Driving, AAAI 2023

-Hai Wu, Jinhao Deng, Chenglu Wen*, Xin Li, Cheng Wang, Jonathan Li, CasA: A Cascade Attention Network for 3D Object Detection from LiDAR point clouds, IEEE Transactions on Geoscience and Remote Sensing (TGRS) 2022

-Yudi Dai, Yitai Lin, Chenglu Wen*, Siqi Shen, Lan Xu, Jingyi Yu, Yuexi Ma, Cheng Wang, HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR, CVPR 2022