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Suya Wu
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 15
Top Topics
Change Detection
Remote Sensing Imagery
Land Cover Change
Statistical Model
Top Venues
CoRR
DCC
IEEE Access
IEEE Trans. Inf. Theory
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Publications
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Enmao Diao
,
Qi Le
,
Suya Wu
,
Xinran Wang
,
Ali Anwar
,
Jie Ding
,
Vahid Tarokh
ColA: Collaborative Adaptation with Gradient Learning.
CoRR
(2024)
Bowen Li
,
Suya Wu
,
Erin E. Tripp
,
Ali Pezeshki
,
Vahid Tarokh
Recursive Least Squares With Minimax Concave Penalty Regularization for Adaptive System Identification.
IEEE Access
12 (2024)
Suya Wu
,
Enmao Diao
,
Taposh Banerjee
,
Jie Ding
,
Vahid Tarokh
Quickest Change Detection for Unnormalized Statistical Models.
IEEE Trans. Inf. Theory
70 (2) (2024)
Suya Wu
,
Enmao Diao
,
Taposh Banerjee
,
Jie Ding
,
Vahid Tarokh
Score-based Quickest Change Detection for Unnormalized Models.
AISTATS
(2023)
Suya Wu
,
Enmao Diao
,
Jie Ding
,
Taposh Banerjee
,
Vahid Tarokh
Robust Quickest Change Detection for Unnormalized Models.
UAI
(2023)
Suya Wu
,
Enmao Diao
,
Taposh Banerjee
,
Jie Ding
,
Vahid Tarokh
Quickest Change Detection for Unnormalized Statistical Models.
CoRR
(2023)
Mohammadreza Soltani
,
Suya Wu
,
Yuerong Li
,
Jie Ding
,
Vahid Tarokh
On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections.
DCC
(2022)
Suya Wu
,
Enmao Diao
,
Khalil Elkhalil
,
Jie Ding
,
Vahid Tarokh
Score-Based Hypothesis Testing for Unnormalized Models.
IEEE Access
10 (2022)
Juncheng Dong
,
Suya Wu
,
Mohammadreza Soltani
,
Vahid Tarokh
Multi-Agent Adversarial Attacks for Multi-Channel Communications.
AAMAS
(2022)
Juncheng Dong
,
Suya Wu
,
Mohammadreza Soltani
,
Vahid Tarokh
Multi-Agent Adversarial Attacks for Multi-Channel Communications.
CoRR
(2022)
Mohammadreza Soltani
,
Suya Wu
,
Yuerong Li
,
Jie Ding
,
Vahid Tarokh
On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections.
CoRR
(2022)
Mohammadreza Soltani
,
Suya Wu
,
Yuerong Li
,
Robert J. Ravier
,
Jie Ding
,
Vahid Tarokh
Compressing Deep Networks Using Fisher Score of Feature Maps.
DCC
(2021)
Suya Wu
,
Enmao Diao
,
Jie Ding
,
Vahid Tarokh
Deep Clustering of Compressed Variational Embeddings.
DCC
(2020)
Mohammadreza Soltani
,
Suya Wu
,
Jie Ding
,
Robert J. Ravier
,
Vahid Tarokh
On the Information of Feature Maps and Pruning of Deep Neural Networks.
ICPR
(2020)
Suya Wu
,
Enmao Diao
,
Jie Ding
,
Vahid Tarokh
Deep Clustering of Compressed Variational Embeddings.
CoRR
(2019)