Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback. - Haochao Ying; Liang Chen 001; Yuwen Xiong; Jian Wu 001 (PAKDD (2), 2016)

PGRank: Personalized Geographical Ranking for Point-of-Interest Recommendation. - Haochao Ying; Liang Chen 001; Yuwen Xiong; Jian Wu 001 (WWW (Companion Volume), 2016)

Deep Feature Flow for Video Recognition. - Xizhou Zhu; Yuwen Xiong; Jifeng Dai; Lu Yuan; Yichen Wei (CVPR, 2017)

Deformable Convolutional Networks. - Jifeng Dai; Haozhi Qi; Yuwen Xiong; Yi Li 038; Guodong Zhang; Han Hu 001; Yichen Wei (ICCV, 2017)

Inference in probabilistic graphical models by Graph Neural Networks. - KiJung Yoon; Renjie Liao; Yuwen Xiong; Lisa Zhang; Ethan Fetaya; Raquel Urtasun; Richard S. Zemel; Xaq Pitkow (ICLR (Workshop), 2018)

Reviving and Improving Recurrent Back-Propagation. - Renjie Liao; Yuwen Xiong; Ethan Fetaya; Lisa Zhang; KiJung Yoon; Xaq Pitkow; Raquel Urtasun; Richard S. Zemel (ICML, 2018)

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. - Ajay Jain; Sergio Casas 002; Renjie Liao; Yuwen Xiong; Song Feng; Sean Segal; Raquel Urtasun (CoRL, 2019)

Deep Rigid Instance Scene Flow. - Wei-Chiu Ma; Shenlong Wang; Rui Hu 001; Yuwen Xiong; Raquel Urtasun (CVPR, 2019)

UPSNet: A Unified Panoptic Segmentation Network. - Yuwen Xiong; Renjie Liao; Hengshuang Zhao; Rui Hu 001; Min Bai; Ersin Yumer; Raquel Urtasun (CVPR, 2019)

DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation. - Xiaohui Zeng; Renjie Liao; Li Gu; Yuwen Xiong; Sanja Fidler; Raquel Urtasun (ICCV, 2019)

Deformable Filter Convolution for Point Cloud Reasoning. - Yuwen Xiong; Mengye Ren; Renjie Liao; Kelvin Wong; Raquel Urtasun (CoRR, 2019)

Learning to Remember from a Multi-Task Teacher. - Yuwen Xiong; Mengye Ren; Raquel Urtasun (CoRR, 2019)

PolyTransform: Deep Polygon Transformer for Instance Segmentation. - Justin Liang 001; Namdar Homayounfar; Wei-Chiu Ma; Yuwen Xiong; Rui Hu 001; Raquel Urtasun (CVPR, 2020)

Weakly-Supervised 3D Shape Completion in the Wild. - Jiayuan Gu; Wei-Chiu Ma; Sivabalan Manivasagam; Wenyuan Zeng; Zihao Wang; Yuwen Xiong; Hao Su 001; Raquel Urtasun (ECCV (5), 2020)

LevelSet R-CNN: A Deep Variational Method for Instance Segmentation. - Namdar Homayounfar; Yuwen Xiong; Justin Liang 001; Wei-Chiu Ma; Raquel Urtasun (ECCV (23), 2020)

LoCo: Local Contrastive Representation Learning. - Yuwen Xiong; Mengye Ren; Raquel Urtasun (NeurIPS, 2020)

Self-Supervised Representation Learning from Flow Equivariance. - Yuwen Xiong; Mengye Ren; Wenyuan Zeng; Raquel Urtasun Waabi (ICCV, 2021)

Safety-Oriented Pedestrian Occupancy Forecasting. - Katie Luo; Sergio Casas 002; Renjie Liao; Xinchen Yan; Yuwen Xiong; Wenyuan Zeng; Raquel Urtasun (IROS, 2021)

Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting. - Katie Luo; Sergio Casas 002; Renjie Liao; Xinchen Yan; Yuwen Xiong; Wenyuan Zeng; Raquel Urtasun (CoRR, 2021)

Cost-Efficient Online Hyperparameter Optimization. - Jingkang Wang; Mengye Ren; Ilija Bogunovic; Yuwen Xiong; Raquel Urtasun (CoRR, 2021)

Network Automatic Pruning: Start NAP and Take a Nap. - Wenyuan Zeng; Yuwen Xiong; Raquel Urtasun (CoRR, 2021)

Rethinking Closed-Loop Training for Autonomous Driving. - Chris Zhang 001; Runsheng Guo 003; Wenyuan Zeng; Yuwen Xiong; Binbin Dai; Rui Hu 001; Mengye Ren; Raquel Urtasun (ECCV (39), 2022)

Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. - Jay Sarva; Jingkang Wang; James Tu; Yuwen Xiong; Sivabalan Manivasagam; Raquel Urtasun (CoRL, 2023)

LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. - Anqi Joyce Yang; Sergio Casas 002; Nikita Dvornik; Sean Segal; Yuwen Xiong; Jordan Sir Kwang Hu; Carter Fang; Raquel Urtasun (CoRL, 2023)

Learning Compact Representations for LiDAR Completion and Generation. - Yuwen Xiong; Wei-Chiu Ma; Jingkang Wang; Raquel Urtasun (CVPR, 2023)

Towards Unsupervised Object Detection from LiDAR Point Clouds. - Lunjun Zhang; Anqi Joyce Yang; Yuwen Xiong; Sergio Casas 002; Bin Yang 021; Mengye Ren; Raquel Urtasun (CVPR, 2023)

Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. - Lunjun Zhang; Yuwen Xiong; Ze Yang 003; Sergio Casas 002; Rui Hu 001; Raquel Urtasun (CoRR, 2023)

UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation. - Yuwen Xiong; Wei-Chiu Ma; Jingkang Wang; Raquel Urtasun (CoRR, 2023)

Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications. - Yuwen Xiong; Zhiqi Li; Yuntao Chen; Feng Wang 015; Xizhou Zhu; Jiapeng Luo; Wenhai Wang; Tong Lu; Hongsheng Li 001; Yu Qiao 001; Lewei Lu; Jie Zhou 001; et al. (CVPR, 2024)

Design of a Blockchain-Based Trust Model for Detecting Cache Poisoning Attakcs in NDN. - Yuwen Xiong; Cong Wang 004; Chuang Chen; Jiawen Xu; Maode Ma; Tong Zhou (ICIC (10), 2024)

Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. - Lunjun Zhang; Yuwen Xiong; Ze Yang 003; Sergio Casas 002; Rui Hu 001; Raquel Urtasun (ICLR, 2024)

MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer. - Changyao Tian; Xizhou Zhu; Yuwen Xiong; Weiyun Wang; Zhe Chen 017; Wenhai Wang; Yuntao Chen; Lewei Lu; Tong Lu; Jie Zhou 001; Hongsheng Li 001; Yu Qiao 001; et al. (CoRR, 2024)

PooDLe: Pooled and dense self-supervised learning from naturalistic videos. - Alex N. Wang; Christopher Hoang; Yuwen Xiong; Yann LeCun; Mengye Ren (CoRR, 2024)

big.LITTLE Vision Transformer for Efficient Visual Recognition. - He Guo 005; Yulong Wang; Zixuan Ye; Jifeng Dai; Yuwen Xiong (CoRR, 2024)

Diffusion Transformer Policy. - Zhi Hou; Tianyi Zhang; Yuwen Xiong; Hengjun Pu; Chengyang Zhao; Ronglei Tong; Yu Qiao 001; Jifeng Dai; Yuntao Chen (CoRR, 2024)

HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving. - Zehuan Wu; Jingcheng Ni; Xiaodong Wang; Yuxin Guo; Rui Chen; Lewei Lu; Jifeng Dai; Yuwen Xiong (CoRR, 2024)

An efficient certificateless blockchain-enabled authentication scheme to secure producer mobility in named data networks. - Cong Wang; Tong Zhou; Maode Ma; Yuwen Xiong; Xiankun Zhang; Chao Liu (J. Netw. Comput. Appl., 2024)

Towards Practical Machine Perception: Data, Representations and Models - Yuwen Xiong (2024)

PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos. - Alex N. Wang; Christopher Hoang; Yuwen Xiong; Yann LeCun; Mengye Ren (ICLR, 2025)

LangBridge: Interpreting Image as a Combination of Language Embeddings. - Jiaqi Liao; Yuwei Niu; Fanqing Meng; Hao Li 069; Changyao Tian; Yinuo Du; Yuwen Xiong; Dianqi Li; Xizhou Zhu; Li Yuan; Jifeng Dai; Yu Cheng 001 (CoRR, 2025)

Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy. - Zhi Hou; Tianyi Zhang; Yuwen Xiong; Haonan Duan 001; Hengjun Pu; Ronglei Tong; Chengyang Zhao; Xizhou Zhu; Yu Qiao 001; Jifeng Dai; Yuntao Chen (CoRR, 2025)

PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier. - Yuhua Jiang; Yuwen Xiong; Yufeng Yuan; Chao Xin; Wenyuan Xu; Yu Yue; Qianchuan Zhao; Lin Yan (CoRR, 2025)