Xinshuo Weng

NVIDIA

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Xinshuo Weng (Preferred)

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@andrew.cmu.edu
,
****@gmail.com
,
****@andrew.cmu.edu
,
****@cs.cmu.edu
,
****@nvidia.com

Education & Career History

Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.

Researcher
NVIDIA (nvidia.com)
2022Present
 
PhD student
Carnegie Mellon University (cmu.edu)
20182022
 
Researcher
Facebook Reality Lab (oculus.com)
20182018
 
Research Intern
Facebook (fb.com)
20172017
 
MS student
Carnegie Mellon University (cmu.edu)
20162017
 
Undergrad student
Wuhan University (whu.edu.cn)
20122016
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coworker
Marco Pavone
****@nvidia.com
2021Present
 
Coauthor
Nicholas Rhinehart
****@cs.cmu.edu
20202022
 
PhD Advisor
Kris Kitani
****@cs.cmu.edu
20172022
 
Coauthor
Sergey Levine
****@eecs.berkeley.edu
20202021
 
Coauthor
Yaser Sheikh
****@cs.cmu.edu
20182018
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

Autonomous Driving: Imitation Learning
2021Present
 
Machine Learning: Graph Neural Networks
2019Present
 
Machine Learning: Generative Models
2019Present
 
Autonomous Driving: Point Cloud Prediction
2019Present
 
Autonomous Driving: Multi-Agent Trajectory Prediction
2019Present
 
3D computer Vision: Point Cloud Processing
2018Present
 
Autonomous Driving: Multi-Object Tracking
2018Present
 
Autonomous Driving: Multi-Modal 3D Object Detection
2018Present