Suya Wu

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

IEEE Trans. Inf. Theory

Publications

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)