Wenyuan Zeng

Wenyuan Zeng

University of Toronto

H-index: 20

North America-Canada

About Wenyuan Zeng

Wenyuan Zeng, With an exceptional h-index of 20 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Deep Learning, Computer Vision, Autonomous Driving.

His recent articles reflect a diverse array of research interests and contributions to the field:

Systems and methods for interactive prediction and planning

Systems and Methods for Generating Motion Forecast Data for a Plurality of Actors with Respect to an Autonomous Vehicle

Trajectory value learning for autonomous systems

Learning to Drive With Neural Motion Planner

Systems and Methods for Generating Synthetic Sensor Data via Machine Learning

End-To-End Interpretable Motion Planner for Autonomous Vehicles

Systems and Methods for Actor Motion Forecasting within a Surrounding Environment of an Autonomous Vehicle

Systems and methods for vehicle-to-vehicle communications for improved autonomous vehicle operations

Wenyuan Zeng Information

University

Position

___

Citations(all)

3295

Citations(since 2020)

3209

Cited By

841

hIndex(all)

20

hIndex(since 2020)

20

i10Index(all)

21

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Wenyuan Zeng Skills & Research Interests

Deep Learning

Computer Vision

Autonomous Driving

Top articles of Wenyuan Zeng

Title

Journal

Author(s)

Publication Date

Systems and methods for interactive prediction and planning

2024/1/2

Systems and Methods for Generating Motion Forecast Data for a Plurality of Actors with Respect to an Autonomous Vehicle

2024/1/11

Trajectory value learning for autonomous systems

2023/9/7

Learning to Drive With Neural Motion Planner

Wenyuan Zeng

2023

Systems and Methods for Generating Synthetic Sensor Data via Machine Learning

2023/12/28

End-To-End Interpretable Motion Planner for Autonomous Vehicles

2023/11/16

Systems and Methods for Actor Motion Forecasting within a Surrounding Environment of an Autonomous Vehicle

2023/11/2

Systems and methods for vehicle-to-vehicle communications for improved autonomous vehicle operations

2023/9/19

Rethinking closed-loop training for autonomous driving

Chris Zhang

Runsheng Guo

Wenyuan Zeng

Yuwen Xiong

Binbin Dai

...

2022/10/23

Automatic Annotation of Object Trajectories in Multiple Dimensions

2022/5/19

Compression of Machine-Learned Models by Vector Quantization

2022/2/3

LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting

IROS 2021

Wenyuan Zeng

Ming Liang

Renjie Liao

Raquel Urtasun

2021/1/17

Systems and Methods for Using Attention Masks to Improve Motion Planning

2021/9/9

Systems and Methods for Jointly Performing Perception, Perception, and Motion Planning for an Autonomous System

2021/5/20

Auto4d: Learning to label 4d objects from sequential point clouds

arXiv preprint arXiv:2101.06586

Bin Yang

Min Bai

Ming Liang

Wenyuan Zeng

Raquel Urtasun

2021/1/17

Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes

Sean Segal

Nishanth Kumar

Sergio Casas

Wenyuan Zeng

Mengye Ren

...

2022/1/11

Self-Supervised Representation Learning from Flow Equivariance

Yuwen Xiong

Mengye Ren

Wenyuan Zeng

Raquel Urtasun

2021

Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting

arXiv preprint arXiv:2101.02385

Katie Luo

Sergio Casas

Renjie Liao

Xinchen Yan

Yuwen Xiong

...

2021/1/7

Deep Structured Reactive Planning

Jerry Liu

Wenyuan Zeng

Raquel Urtasun

Ersin Yumer

2021

Network automatic pruning: Start nap and take a nap

arXiv preprint arXiv:2101.06608

Wenyuan Zeng

Yuwen Xiong

Raquel Urtasun

2021/1/17

See List of Professors in Wenyuan Zeng University(University of Toronto)

Co-Authors

academic-engine