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Kelin Yu

dblp:339/6954 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Reinforcement learning · 61% 3D vision · 30% Generative modeling · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
object representation
0.912025
GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning · ICCV 2025
Machine learning › Reinforcement learning › reward design
reward shaping
0.912025
GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning · ICCV 2025
Machine learning › Reinforcement learning › deep reinforcement learning
visual reinforcement learning
0.912025
GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning · ICCV 2025
Machine learning › Generative modeling
generative flow
0.312025
GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning · ICCV 2025

Methods — techniques the papers use, named apart from their topics

reward shaping · 0.9generative object-centric flow · 0.9
YearPublicationVenuePosition
2025 GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning
Kelin Yu, Sheng Zhang 0004, Harshit Soora, Furong Huang, Heng Huang 0001, Pratap Tokekar, Ruohan Gao
ICCV1