Yi Wan
13 papers · 2019–2026 · 9 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (24)
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Topic Evolution
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Keyword Collector
(59)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Keywords
average-reward mdp
(3)
function approximation
(3)
off-policy learning
(3)
feature matching
(2)
reinforcement learning
(2)
3d reconstruction
(2)
markov decision process
(2)
temporal difference learning
(2)
model-based reinforcement learning
(2)
policy optimization
(1)
structure from motion
(1)
3d vision
(1)
policy learning
(1)
scene reconstruction
(1)
off-policy evaluation
(1)
value function
(1)
computer vision
(1)
deep learning
(1)
gaussian splatting
(1)
domain generalization
(1)
Papers
AeroGS: Scale-Aware Gaussian Splatting for Pose-Free Dynamic UAV Scene Reconstruction
CVPR 2026
Beyond Tie Points: Satellite Image Block Adjustment based on Dense Feature Consistency
CVPR 2026
SkySplat: Generalizable 3D Gaussian Splatting from Multi-Temporal Sparse Satellite Images
AAAI 2026
CasP: Improving Semi-Dense Feature Matching Pipeline Leveraging Cascaded Correspondence Priors for Guidance
ICCV 2025
EcoMatcher: Efficient Clustering Oriented Matcher for Detector-free Image Matching
ECCV 2024
Pearl: A Production-Ready Reinforcement Learning Agent
JMLR 2024
Loosely consistent emphatic temporal-difference learning
UAI 2023
ELSR: Efficient Line Segment Reconstruction With Planes and Points Guidance
CVPR 2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
ICML 2022
Average-Reward Learning and Planning with Options
NeurIPS 2021
Average-Reward Off-Policy Policy Evaluation with Function Approximation
ICML 2021
Learning and Planning in Average-Reward Markov Decision Processes
ICML 2021
Planning with Expectation Models
IJCAI 2019