Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving. - Xiaoyu Tian; Tao Jiang; Longfei Yun; Yucheng Mao; Huitong Yang; Yue Wang; Yilun Wang; Hang Zhao (NeurIPS, 2023)

BEVScope: Enhancing Self-Supervised Depth Estimation Leveraging Bird's-Eye-View in Dynamic Scenarios. - Yucheng Mao; Ruowen Zhao; Tianbao Zhang; Hang Zhao (CoRR, 2023)

PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors. - Tianyuan Yuan; Yucheng Mao; Jiawei Yang; Yicheng Liu; Yue Wang; Hang Zhao (ECCV (77), 2024)

SIR-DIFF: Sparse Image Sets Restoration with Multi-View Diffusion Model. - Yucheng Mao; Boyang Wang; Nilesh Kulkarni; Jeong Joon Park (CVPR, 2025)

Diffusion-Based Generative Models for 3D Occupancy Prediction in Autonomous Driving. - Yunshen Wang; Yicheng Liu; Tianyuan Yuan; Yucheng Mao; Yingshi Liang; Xiuyu Yang; Honggang Zhang; Hang Zhao (CoRR, 2025)

AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Views. - Lihan Jiang; Yucheng Mao; Linning Xu; Tao Lu 005; Kerui Ren; Yichen Jin; Xudong Xu; Mulin Yu; Jiangmiao Pang; Feng Zhao 004; Dahua Lin; Bo Dai 002 (CoRR, 2025)

REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems. - Haibo Xing; Hao Deng; Yucheng Mao; Jinxin Hu; Yi Xu; Hao Zhang; Jiahao Wang; Shizhun Wang; Yu Zhang; Xiaoyi Zeng; Jing Zhang (CoRR, 2025)