Efficient Summarization with Read-Again and Copy Mechanism. - Wenyuan Zeng; Wenjie Luo 002; Sanja Fidler; Raquel Urtasun (CoRR, 2016)

Incorporating Relation Paths in Neural Relation Extraction. - Wenyuan Zeng; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2017)

Learning to Reweight Examples for Robust Deep Learning. - Mengye Ren; Wenyuan Zeng; Bin Yang 021; Raquel Urtasun (ICML, 2018)

Differentiable Compositional Kernel Learning for Gaussian Processes. - Shengyang Sun; Guodong Zhang 006; Chaoqi Wang; Wenyuan Zeng; Jiaman Li; Roger B. Grosse (ICML, 2018)

End-To-End Interpretable Neural Motion Planner. - Wenyuan Zeng; Wenjie Luo 002; Simon Suo; Abbas Sadat; Bin Yang 021; Sergio Casas 002; Raquel Urtasun (CVPR, 2019)

PnPNet: End-to-End Perception and Prediction With Tracking in the Loop. - Ming Liang; Bin Yang 021; Wenyuan Zeng; Yun Chen 014; Rui Hu 001; Sergio Casas 002; Raquel Urtasun (CVPR, 2020)

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. - Sivabalan Manivasagam; Shenlong Wang; Kelvin Wong; Wenyuan Zeng; Mikita Sazanovich; Shuhan Tan; Bin Yang 021; Wei-Chiu Ma; 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)

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. - Tsun-Hsuan Wang; Sivabalan Manivasagam; Ming Liang; Bin Yang 021; Wenyuan Zeng; Raquel Urtasun (ECCV (2), 2020)

DSDNet: Deep Structured Self-driving Network. - Wenyuan Zeng; Shenlong Wang; Renjie Liao; Yun Chen 014; Bin Yang 021; Raquel Urtasun (ECCV (21), 2020)

End-to-end Contextual Perception and Prediction with Interaction Transformer. - Lingyun Luke Li; Bin Yang 021; Ming Liang; Wenyuan Zeng; Mengye Ren; Sean Segal; Raquel Urtasun (IROS, 2020)

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. - Tsun-Hsuan Wang; Sivabalan Manivasagam; Ming Liang; Bin Yang 021; Wenyuan Zeng; James Tu; Raquel Urtasun (CoRR, 2020)

Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. - Sean Segal; Nishanth Kumar; Sergio Casas 002; Wenyuan Zeng; Mengye Ren; Jingkang Wang; Raquel Urtasun (CoRL, 2021)

Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks. - Julieta Martinez 001; Jashan Shewakramani; Ting-Wei Liu; Ioan Andrei Barsan; Wenyuan Zeng; Raquel Urtasun (CVPR, 2021)

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

Deep Structured Reactive Planning. - Jerry Liu; Wenyuan Zeng; Raquel Urtasun; Ersin Yumer (ICRA, 2021)

Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. - Bob Wei; Mengye Ren; Wenyuan Zeng; Ming Liang; Bin Yang 021; Raquel Urtasun (ICRA, 2021)

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

LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. - Wenyuan Zeng; Ming Liang; Renjie Liao; 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)

Auto4D: Learning to Label 4D Objects from Sequential Point Clouds. - Bin Yang 021; Min Bai; Ming Liang; Wenyuan Zeng; Raquel Urtasun (CoRR, 2021)

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

Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes. - Sean Segal; Nishanth Kumar; Sergio Casas 002; Wenyuan Zeng; Mengye Ren; Jingkang Wang; Raquel Urtasun (CoRR, 2021)

Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching. - Dingwen Zhang; Wenyuan Zeng; Guangyu Guo; Chaowei Fang; Lechao Cheng; Junwei Han 001 (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)

Weakly Supervised Object Detection Using Proposal- and Semantic-Level Relationships. - Dingwen Zhang; Wenyuan Zeng; Jieru Yao; Junwei Han 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning to Drive with Neural Motion Planner - Wenyuan Zeng (2023)

Generalized Weakly Supervised Object Localization. - Dingwen Zhang; Guangyu Guo; Wenyuan Zeng; Lei Li; Junwei Han 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Weakly Supervised Semantic Segmentation via Alternate Self-Dual Teaching. - Dingwen Zhang; Hao Li 075; Wenyuan Zeng; Chaowei Fang; Lechao Cheng; Ming-Ming Cheng; Junwei Han 001 (IEEE Trans. Image Process., 2025)