Interpolated Convolutional Networks for 3D Point Cloud Understanding. - Jiageng Mao; Xiaogang Wang 001; Hongsheng Li 001 (ICCV, 2019)

GRNet: Gridding Residual Network for Dense Point Cloud Completion. - Haozhe Xie; Hongxun Yao; Shangchen Zhou; Jiageng Mao; Shengping Zhang; Wenxiu Sun (ECCV (9), 2020)

Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. - Jiageng Mao; Minzhe Niu; Haoyue Bai; Xiaodan Liang; Hang Xu 004; Chunjing Xu (ICCV, 2021)

Voxel Transformer for 3D Object Detection. - Jiageng Mao; Yujing Xue; Minzhe Niu; Haoyue Bai; Jiashi Feng; Xiaodan Liang; Hang Xu 004; Chunjing Xu (ICCV, 2021)

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving. - Jianhua Han; Xiwen Liang; Hang Xu 004; Kai Chen 023; Lanqing Hong; Jiageng Mao; Chaoqiang Ye; Wei Zhang 196; Zhenguo Li; Xiaodan Liang; Chunjing Xu (NeurIPS Datasets and Benchmarks, 2021)

One Million Scenes for Autonomous Driving: ONCE Dataset. - Jiageng Mao; Minzhe Niu; Chenhan Jiang; Hanxue Liang; Jingheng Chen; Xiaodan Liang; Yamin Li; Chaoqiang Ye; Wei Zhang 196; Zhenguo Li; Jie Yu; Chunjing Xu; et al. (NeurIPS Datasets and Benchmarks, 2021)

One Million Scenes for Autonomous Driving: ONCE Dataset. - Jiageng Mao; Minzhe Niu; Chenhan Jiang; Hanxue Liang; Xiaodan Liang; Yamin Li; Chaoqiang Ye; Wei Zhang 196; Zhenguo Li; Jie Yu; Hang Xu 004; Chunjing Xu (CoRR, 2021)

Point2Seq: Detecting 3D Objects as Sequences. - Yujing Xue; Jiageng Mao; Minzhe Niu; Hang Xu 004; Michael Bi Mi; Wei Zhang 196; Xiaogang Wang 001; Xinchao Wang (CVPR, 2022)

3D Object Detection for Autonomous Driving: A Review and New Outlooks. - Jiageng Mao; Shaoshuai Shi; Xiaogang Wang 001; Hongsheng Li 001 (CoRR, 2022)

A survey on deep learning-based single image crowd counting: Network design, loss function and supervisory signal. - Haoyue Bai 001; Jiageng Mao; S.-H. Gary Chan (Neurocomputing, 2022)

CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data. - Yihan Zeng; Chenhan Jiang; Jiageng Mao; Jianhua Han; Chaoqiang Ye; Qingqiu Huang; Dit-Yan Yeung; Zhen Yang; Xiaodan Liang; Hang Xu 004 (CVPR, 2023)

GPT-Driver: Learning to Drive with GPT. - Jiageng Mao; Yuxi Qian; Hang Zhao; Yue Wang (CoRR, 2023)

A Language Agent for Autonomous Driving. - Jiageng Mao; Junjie Ye; Yuxi Qian; Marco Pavone 001; Yue Wang 041 (CoRR, 2023)

3D Object Detection for Autonomous Driving: A Comprehensive Survey. - Jiageng Mao; Shaoshuai Shi; Xiaogang Wang 001; Hongsheng Li 001 (Int. J. Comput. Vis., 2023)

RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation. - Yuxuan Kuang; Junjie Ye; Haoran Geng; Jiageng Mao; Congyue Deng; Leonidas J. Guibas; He Wang 010; Yue Wang 036 (CoRL, 2024)

Driving Everywhere with Large Language Model Policy Adaptation. - Boyi Li; Yue Wang 041; Jiageng Mao; Boris Ivanovic; Sushant Veer; Karen Leung; Marco Pavone 001 (CVPR, 2024)

DeTra: A Unified Model for Object Detection and Trajectory Forecasting. - Sergio Casas 002; Ben Agro; Jiageng Mao; Thomas Gilles; Alexander Cui; Thomas Li; Raquel Urtasun (ECCV (88), 2024)

Learning from Massive Human Videos for Universal Humanoid Pose Control. - Jiageng Mao; Siheng Zhao; Siqi Song; Tianheng Shi; Junjie Ye; Mingtong Zhang; Haoran Geng; Jitendra Malik; Vitor Guizilini; Yue Wang 041 (CoRR, 2024)

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding. - Wei Chow; Jiageng Mao; Boyi Li; Daniel Seita; Vitor Campagnolo Guizilini; Yue Wang 041 (ICLR, 2025)

DreamDrive: Generative 4D Scene Modeling from Street View Images. - Jiageng Mao; Boyi Li; Boris Ivanovic; Yuxiao Chen 008; Yan Wang 051; Yurong You; Chaowei Xiao; Danfei Xu; Marco Pavone 001; Yue Wang 041 (CoRR, 2025)

RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning. - Haoran Geng; Feishi Wang; Songlin Wei; Yuyang Li; Bangjun Wang; Boshi An; Charlie Tianyue Cheng; Haozhe Lou; Peihao Li; Yen-Jen Wang; Yutong Liang; Dylan Goetting; et al. (CoRR, 2025)

ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation. - Enyu Zhao; Vedant Raval; Hejia Zhang; Jiageng Mao; Zeyu Shangguan; Stefanos Nikolaidis; Yue Wang; Daniel Seita (CoRR, 2025)

Learning an Implicit Physics Model for Image-based Fluid Simulation. - Emily Yue-Ting Jia; Jiageng Mao; Zhiyuan Gao; Yajie Zhao; Yue Wang (CoRR, 2025)