Yu Yang

About Me

I am currently a Ph.D. candidate in the Department of Control Science and Engineering at Zhejiang University (ZJU), where I have been since 2021, under the supervision of Prof. Yong Liu at the April Lab. Additionally, I am a visiting Ph.D. student at the National University of Singapore (NUS), working under the guidance of Prof. Gim Hee Lee at the CVRP Lab.

Research Interests

Generative Models: 3D and 4D Scene Generation, Dynamic Scene Generation.
World Models: Generative World Models, End-to-end Autonomous Driving.
3D Computer Vision: 3D Perception, Scene Understanding.

News

[Sep. 2025] 🎉 Our paper 𝒳-Scene is accepted by NeurIPS 2025 !
[Feb. 2025] 📢 I joined the CVRP Lab at NUS as a visiting Ph.D. student.
[Dec. 2024] 🎉 Our paper Drive-OccWorld is accepted by AAAI 2025 (Oral) !
[Sep. 2024] 🎉 Our paper SGN is accepted by IEEE Trans. on Image Processing (TIP) 2024 !
[Jul. 2023] 🎉 Our paper CenterLPS is accepted by ACM MM 2023 !

Publications

NeurIPS

𝒳-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability

Yu Yang, Alan Liang, Jianbiao Mei, Yukai Ma, Yong Liu, Gim Hee Lee

Neural Information Processing Systems (NeurIPS), 2025.

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AAAI

Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving

Yu Yang*, Jianbiao Mei*, Yukai Ma, Siliang Du, Wenqing Chen, Yijie Qian, Yuxiang Feng, Yong Liu

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025.

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arXiv

DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes

Jianbiao Mei, Tao Hu, Xuemeng Yang, Licheng Wen, Yu Yang, Tiantian Wei, Yukai Ma, Min Dou, Botian Shi, Yong Liu

arXiv, 2024.

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TGRS

DQFormer: Toward Unified LiDAR Panoptic Segmentation With Decoupled Queries for Large-Scale Outdoor Scenes

Yu Yang*, Jianbiao Mei*, Liang Liu, Siliang Du, Yilin Xiao, Jongwon Ra, Yong Liu, Xiao Xu, Huifeng Wu

IEEE Transactions on Geoscience and Remote Sensing (TGRS), 63, 1-15, 2025.

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TIP

Camera-based 3d semantic scene completion with sparse guidance network

Jianbiao Mei, Yu Yang, Mengmeng Wang, Junyu Zhu, Xiangrui Zhao, Jongwon Ra, Laijian Li, Yong Liu

IEEE Transactions on Image Processing (TIP), 33, 5468-5481.

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3DV

Exploit Spatiotemporal Contextual Information for 3D Single Object Tracking via Memory Networks

Jongwon Ra, MengMeng Wang, Jianbiao Mei, Shanqi Liu, Yu Yang, Yong Liu

International Conference on 3D Vision (3DV), 2024.

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ACM MM

CenterLPS: Segment Instances by Centers for LiDAR Panoptic Segmentation

Jianbiao Mei*, Yu Yang*, Mengmeng Wang, Zizhang Li, Xiaojun Hou, Jongwon Ra, Laijian Li, Yong Liu

Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), 2023.

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IROS

PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation

Jianbiao Mei*, Yu Yang*, Mengmeng Wang, Xiaojun Hou, Laijian Li, Yong Liu

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.

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IROS

SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion

Jianbiao Mei, Yu Yang, Mengmeng Wang, Tianxin Huang, Xuemeng Yang, Yong Liu

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.

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APIN

Exploiting semantic-level affinities with a mask-guided network for temporal action proposal in videos

Yu Yang, Mengmeng Wang, Jianbiao Mei, Yong Liu

Applied Intelligence, 53(12), 15516-15536.

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Awards and Honors

Academic Scholarship, Faculty Scholarship, 2023
National Scholarship (国家奖学金), 2019
First Prize in the National Undergraduate Electronic Design Competition (Top 2.4%), 2019
Academician Scholarship, Faculty Scholarship, 2020,2019,2018

About Me

Research Interests

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Awards and Honors

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