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Kuangdai Leng
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 8
Top Topics
Neural Network
Deep Learning
Convolution Kernel
Global Optimality
Top Venues
CoRR
J. Comput. Phys.
VISIGRAPP (2): VISAPP
ICMLA
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Publications
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Shiqian Li
,
Zhi Li
,
Zhancun Mu
,
Shiji Xin
,
Zhixiang Dai
,
Kuangdai Leng
,
Ruihua Zhang
,
Xiaodong Song
,
Yixin Zhu
GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI.
CoRR
(2024)
Kuangdai Leng
,
Jia Bi
,
Jaehoon Cha
,
Samuel Pinilla
,
Jeyan Thiyagalingam
Deep Learning Evidence for Global Optimality of Gerver's Sofa.
CoRR
(2024)
Kuangdai Leng
,
Robert Atwood
,
Winfried Kockelmann
,
Deniza Chekrygina
,
Jeyan Thiyagalingam
Unsupervised Few-Shot Image Segmentation with Dense Feature Learning and Sparse Clustering.
VISIGRAPP (2): VISAPP
(2024)
Kuangdai Leng
,
Mallikarjun Shankar
,
Jeyan Thiyagalingam
Zero coordinate shift: Whetted automatic differentiation for physics-informed operator learning.
J. Comput. Phys.
505 (2024)
Kuangdai Leng
,
Mallikarjun Shankar
,
Jeyan Thiyagalingam
Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator Learning.
CoRR
(2023)
Kuangdai Leng
,
Jeyan Thiyagalingam
Padding-Free Convolution Based on Preservation of Differential Characteristics of Kernels.
ICMLA
(2023)
Kuangdai Leng
,
Jeyan Thiyagalingam
Padding-free Convolution based on Preservation of Differential Characteristics of Kernels.
CoRR
(2023)
Kuangdai Leng
,
Jeyan Thiyagalingam
On the Compatibility between a Neural Network and a Partial Differential Equation for Physics-informed Learning.
CoRR
(2022)