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2020 – today
- 2024
[j3]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: 66993-67004 (2024)- [j2]Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh:
Quickest Change Detection for Unnormalized Statistical Models. IEEE Trans. Inf. Theory 70(2): 1220-1232 (2024) - [i5]Enmao Diao, Qi Le, Suya Wu, Xinran Wang, Ali Anwar, Jie Ding, Vahid Tarokh:
ColA: Collaborative Adaptation with Gradient Learning. CoRR abs/2404.13844 (2024) - 2023
- [c7]Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh:
Score-based Quickest Change Detection for Unnormalized Models. AISTATS 2023: 10546-10565 - [c6]Suya Wu, Enmao Diao, Jie Ding, Taposh Banerjee, Vahid Tarokh:
Robust Quickest Change Detection for Unnormalized Models. UAI 2023: 2314-2323 - [i4]Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh:
Quickest Change Detection for Unnormalized Statistical Models. CoRR abs/2302.00250 (2023) - 2022
- [j1]Suya Wu, Enmao Diao, Khalil Elkhalil, Jie Ding, Vahid Tarokh:
Score-Based Hypothesis Testing for Unnormalized Models. IEEE Access 10: 71936-71950 (2022) - [c5]Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh:
Multi-Agent Adversarial Attacks for Multi-Channel Communications. AAMAS 2022: 1580-1582 - [c4]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: 482 - [i3]Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh:
Multi-Agent Adversarial Attacks for Multi-Channel Communications. CoRR abs/2201.09149 (2022) - [i2]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 abs/2201.11209 (2022) - 2021
- [c3]Mohammadreza Soltani, Suya Wu, Yuerong Li, Robert J. Ravier, Jie Ding, Vahid Tarokh:
Compressing Deep Networks Using Fisher Score of Feature Maps. DCC 2021: 371 - 2020
- [c2]Suya Wu, Enmao Diao, Jie Ding, Vahid Tarokh:
Deep Clustering of Compressed Variational Embeddings. DCC 2020: 399 - [c1]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: 6988-6995
2010 – 2019
- 2019
- [i1]Suya Wu, Enmao Diao, Jie Ding, Vahid Tarokh:
Deep Clustering of Compressed Variational Embeddings. CoRR abs/1910.10341 (2019)
Coauthor Index
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