Wenyuan Zeng
Title
Cited by
Cited by
Year
Learning to Reweight Examples for Robust Deep Learning
M Ren, W Zeng, B Yang, R Urtasun
ICML 2018, 2018
3662018
End-To-End Interpretable Neural Motion Planner
W Zeng, W Luo, S Suo, A Sadat, B Yang, S Casas, R Urtasun
CVPR 2019, 2019
782019
Efficient summarization with read-again and copy mechanism
W Zeng, W Luo, S Fidler, R Urtasun
arXiv preprint arXiv:1611.03382, 2016
752016
Incorporating relation paths in neural relation extraction
W Zeng, Y Lin, Z Liu, M Sun
EMNLP 2017, 2016
592016
Differentiable Compositional Kernel Learning for Gaussian Processes
S Sun, G Zhang, C Wang, W Zeng, J Li, R Grosse
ICML 2018, 2018
392018
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop
M Liang, B Yang, W Zeng, Y Chen, R Hu, S Casas, R Urtasun
CVPR 2020, 2020
262020
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
S Manivasagam, S Wang, K Wong, W Zeng, M Sazanovich, S Tan, ...
CVPR 2020, 2020
202020
End-to-end Contextual Perception and Prediction with Interaction Transformer
LL Li, B Yang, M Liang, W Zeng, M Ren, S Segal, R Urtasun
IROS 2020, 2020
102020
Dsdnet: Deep structured self-driving network
W Zeng, S Wang, R Liao, Y Chen, B Yang, R Urtasun
ECCV 2020, 2020
102020
MLPrune: Multi-Layer Pruning for Automated Neural Network Compression
W Zeng, R Urtasun
8*2018
V2vnet: Vehicle-to-vehicle communication for joint perception and prediction
TH Wang, S Manivasagam, M Liang, B Yang, W Zeng, R Urtasun
ECCV 2020, 2020
52020
Weakly-supervised 3D Shape Completion in the Wild
J Gu, WC Ma, S Manivasagam, W Zeng, Z Wang, Y Xiong, H Su, ...
ECCV 2020, 2020
22020
End-To-End Interpretable Motion Planner for Autonomous Vehicles
W Zeng, W Luo, A Sadat, B Yang, R Urtasun
US Patent App. 16/541,739, 2020
12020
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting
K Luo, S Casas, R Liao, X Yan, Y Xiong, W Zeng, R Urtasun
arXiv preprint arXiv:2101.02385, 2021
2021
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving
B Wei, M Ren, W Zeng, M Liang, B Yang, R Urtasun
arXiv preprint arXiv:2011.01153, 2020
2020
Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks
J Martinez, J Shewakramani, TW Liu, IA Bârsan, W Zeng, R Urtasun
arXiv preprint arXiv:2010.15703, 2020
2020
Systems and Methods for Generating Synthetic Sensor Data via Machine Learning
S Manivasagam, S Wang, WC Ma, KKW Wong, W Zeng, R Urtasun
US Patent App. 16/826,990, 2020
2020
Self-Supervised Representation Learning from Flow Equivariance
Y Xiong, M Ren, W Zeng, R Urtasun
arXiv preprint arXiv:2101.06553, 0
Network Automatic Pruning: Start NAP and Take a Nap
W Zeng, Y Xiong, R Urtasun
arXiv preprint arXiv:2101.06608, 0
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
W Zeng, M Liang, R Liao, R Urtasun
arXiv preprint arXiv:2101.06653, 0
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