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Shengyao Lu
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 7
Top Topics
Relational Learning
Rule Discovery
Contrast Set Mining
Neural Architectures
Top Venues
CoRR
ICLR
FPL
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Publications
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Shengyao Lu
,
Bang Liu
,
Keith G. Mills
,
Jiao He
,
Di Niu
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time.
CoRR
(2024)
Keith G. Mills
,
Fred X. Han
,
Mohammad Salameh
,
Shengyao Lu
,
Chunhua Zhou
,
Jiao He
,
Fengyu Sun
,
Di Niu
Building Optimal Neural Architectures using Interpretable Knowledge.
CoRR
(2024)
Shengyao Lu
,
Keith G. Mills
,
Jiao He
,
Bang Liu
,
Di Niu
GOAt: Explaining Graph Neural Networks via Graph Output Attribution.
ICLR
(2024)
Shengyao Lu
,
Keith G. Mills
,
Jiao He
,
Bang Liu
,
Di Niu
GOAt: Explaining Graph Neural Networks via Graph Output Attribution.
CoRR
(2024)
Ruichen Chen
,
Shengyao Lu
,
Mohamed A. Elgammal
,
Peter Chun
,
Vaughn Betz
,
Di Niu
VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization.
FPL
(2023)
Shengyao Lu
,
Bang Liu
,
Keith G. Mills
,
Shangling Jui
,
Di Niu
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning.
CoRR
(2022)
Shengyao Lu
,
Bang Liu
,
Keith G Mills
,
Shangling Jui
,
Di Niu
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning.
ICLR
(2022)