Deep Clustering of Compressed Variational Embeddings. - Suya Wu; Enmao Diao; Jie Ding 002; Vahid Tarokh (DCC, 2020)

On the Information of Feature Maps and Pruning of Deep Neural Networks. - Mohammadreza Soltani; Suya Wu; Jie Ding 002; Robert J. Ravier; Vahid Tarokh (ICPR, 2020)

Compressing Deep Networks Using Fisher Score of Feature Maps. - Mohammadreza Soltani; Suya Wu; Yuerong Li; Robert J. Ravier; Jie Ding 002; Vahid Tarokh (DCC, 2021)

Multi-Agent Adversarial Attacks for Multi-Channel Communications. - Juncheng Dong; Suya Wu; Mohammadreza Soltani; Vahid Tarokh (AAMAS, 2022)

On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections. - Mohammadreza Soltani; Suya Wu; Yuerong Li; Jie Ding 002; Vahid Tarokh (DCC, 2022)

Score-Based Hypothesis Testing for Unnormalized Models. - Suya Wu; Enmao Diao; Khalil Elkhalil; Jie Ding 002; Vahid Tarokh (IEEE Access, 2022)

Score-based Quickest Change Detection for Unnormalized Models. - Suya Wu; Enmao Diao; Taposh Banerjee; Jie Ding 002; Vahid Tarokh (AISTATS, 2023)

Robust Quickest Change Detection for Unnormalized Models. - Suya Wu; Enmao Diao; Jie Ding 002; Taposh Banerjee; Vahid Tarokh (UAI, 2023)

Recursive Least Squares With Minimax Concave Penalty Regularization for Adaptive System Identification. - Bowen Li 004; Suya Wu; Erin E. Tripp; Ali Pezeshki; Vahid Tarokh (IEEE Access, 2024)

ColA: Collaborative Adaptation with Gradient Learning. - Enmao Diao; Qi Le; Suya Wu; Xinran Wang; Ali Anwar 001; Jie Ding 002; Vahid Tarokh (CoRR, 2024)

Quickest Change Detection for Unnormalized Statistical Models. - Suya Wu; Enmao Diao; Taposh Banerjee; Jie Ding 002; Vahid Tarokh (IEEE Trans. Inf. Theory, 2024)

Robust Score-Based Quickest Change Detection. - Sean Moushegian; Suya Wu; Enmao Diao; Jie Ding 002; Taposh Banerjee; Vahid Tarokh (IEEE Trans. Inf. Theory, 2025)