Xinggang Wang

Professor

Artificial Intelligence Institute

School of Electronic Information and Communications

Huazhong University of Science and Technology

DBLP iD arXiv α

Google Scholar Citations 59,388 h-index 90

Research interests: computer vision and deep learning, especially, visual representation learning, LLM architectures, physical AI, and agentic models.

Professor Xinggang Wang

Selected Projects

AdaRoboVLG: adaptive vision-language grasping across robotic hands AdaRoboVLGarXiv 2026Embodied AI DreamWAMarXiv 2026World Action Model Faster-WAM: efficient inference-time future conditioning Faster-WAMarXiv 2026World Action Model ReWorld: representation learning for world action models ReWorldarXiv 2026Autonomous Driving Moebius: lightweight image inpainting framework MoebiusECCV 2026Generative Model RAD-2: generator-discriminator framework for closed-loop planning RAD-2arXiv 2026Autonomous Driving UniDriveVLA: unified driving vision-language-action model UniDriveVLAarXiv 2026Autonomous Driving Senna-2: aligning VLM and end-to-end driving policy Senna-2arXiv 2026Autonomous Driving DriveLaW: unifying planning and video generation DriveLaWCVPR 2026Autonomous Driving DiffusionVL: diffusion vision-language models DiffusionVLECCV 2026Multimodal LLM VTP: scalable pre-training of visual tokenizers VTPECCV 2026Generative Model InfiniteVL: unlimited-input vision-language model InfiniteVLarXiv 2025Efficient VLM 4DLangVGGT: 4D language-visual geometry grounded transformer 4DLangVGGTarXiv 20254D Scene Understanding TransLight: image-guided customized lighting control TransLightICML 2026Generative Model LENS: segment anything with unified reinforced reasoning LENSAAAI 2026Segmentation ReCogDrive: reinforced cognitive framework for autonomous driving ReCogDriveICLR 2026Autonomous Driving GaussTR: foundation model-aligned Gaussian transformer GaussTRCVPR 20253D Perception DiffusionDrive: truncated diffusion model for end-to-end driving DiffusionDriveCVPR 2025Autonomous Driving Senna: bridging large VLMs and end-to-end driving SennaIJCV 2026Autonomous Driving VADv2: end-to-end autonomous driving via probabilistic planning VADv2ICLR 2026Autonomous Driving YOLO-World: real-time open-vocabulary object detection YOLO-WorldCVPR 2024Open-Vocabulary Detection Vision Mamba: bidirectional state space model for vision Vision MambaICML 2024Visual Representation 4DGaussians: real-time dynamic scene rendering 4DGaussiansCVPR 20244D Reconstruction MapTR: online vectorized HD map construction MapTRIJCV 2025Autonomous Driving EVA: masked visual representation learning at scale EVACVPR 2023Visual Representation ByteTrack: multi-object tracking by associating every detection box ByteTrackECCV 2022Multi-Object Tracking FairMOT: fairness of detection and re-identification in MOT FairMOTIJCV 2021Multi-Object Tracking CCNet: criss-cross attention for semantic segmentation CCNetTPAMI 2023Semantic Segmentation

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Media Coverage

Some Highly Influential Papers

# first author is my student, * corresponding author

Academic Activities

Awards

Research Funding

Short Bio

He completed his Ph.D. and B.E. in Huazhong University of Science and Technology in 2014 and 2009 respectively. His Ph.D. supervisors were Prof. Wenyu Liu and Prof. Xiang Bai. During his Ph.D. period, he visited UCLA and Temple University where he was supervised by Prof. Alan Yuille and Prof. Longin Latecki, respectively. He also worked in the visual computing group in Microsoft Research Asia as an intern, supervised by Prof. Zhuowen Tu and collaborated with Prof. Yi Ma.