Wenshan Wang
9 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
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Mega-Team Β· Squad
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Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(6)
Machine Learning
(4)
Learning Types Β· Machine Learning
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Learning Paradigms
(2)
Robotics
(1)
Applications
(1)
Capabilities
(1)
Learning Types Β· Deep Learning
(1)
Methods
(1)
Models
(1)
Optimization & Theory
(1)
Techniques
(1)
Keywords
trajectory prediction
(2)
deep learning
(2)
logical reasoning
(1)
robot learning
(1)
test-time adaptation
(1)
visual reasoning
(1)
inverse reinforcement learning
(1)
foundation model
(1)
uncertainty propagation
(1)
parallel computing
(1)
state estimation
(1)
model-based reinforcement learning
(1)
reward function
(1)
first-order logic
(1)
synthetic data
(1)
sequential decision making
(1)
low-rank adaptation
(1)
autonomous vehicle
(1)
transfer learning
(1)
domain generalization
(1)
Papers
Tartan IMU: A Light Foundation Model for Inertial Positioning in Robotics
CVPR 2025
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
NeurIPS 2024
SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments
CVPR 2024
Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation
CoRL 2024
PyPose: A Library for Robot Learning With Physics-Based Optimization
CVPR 2023
Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning
CoRL 2021
TartanVO: A Generalizable Learning-based VO
CoRL 2020
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning
ECCV 2020
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories
CoRL 2018