Suya Wu

18 papers A* 1A 3B 4Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cross-subject mapping of neural activity with restricted Boltzmann machines.
Frontiers Comput. Neurosci.
Haoming Yang, Marko Angjelichinoski, Suya Wu, Joy Putney, Simon Sponberg, Vahid Tarokh
2026 A* conf
TraceRing: Touchpad-like Pointing with a Single IMU Ring through Personalized Learning.
CHI
Zhe He, Weinan Shi, Zixuan Wang, Suya Wu, Xiyuan Shen, Chengchi Zhou, Chun Yu, Yuanchun Shi
2025 J jnl
Robust Score-Based Quickest Change Detection.
IEEE Trans. Inf. Theory
Sean Moushegian, Suya Wu, Enmao Diao, Jie Ding, Taposh Banerjee, Vahid Tarokh
2024 J jnl
ColA: Collaborative Adaptation with Gradient Learning.
CoRR
Enmao Diao, Qi Le, Suya Wu, Xinran Wang, Ali Anwar, Jie Ding, Vahid Tarokh
2024 J jnl
Quickest Change Detection for Unnormalized Statistical Models.
IEEE Trans. Inf. Theory
Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh
2024 J jnl
Recursive Least Squares With Minimax Concave Penalty Regularization for Adaptive System Identification.
IEEE Access
Bowen Li, Suya Wu, Erin E. Tripp, Ali Pezeshki, Vahid Tarokh
2023 J jnl
Quickest Change Detection for Unnormalized Statistical Models.
CoRR
Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh
2023 A conf
Robust Quickest Change Detection for Unnormalized Models.
UAI
Suya Wu, Enmao Diao, Jie Ding, Taposh Banerjee, Vahid Tarokh
2023 A conf
Score-based Quickest Change Detection for Unnormalized Models.
AISTATS
Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh
2022 A conf
Multi-Agent Adversarial Attacks for Multi-Channel Communications.
AAMAS
Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh
2022 J jnl
Multi-Agent Adversarial Attacks for Multi-Channel Communications.
CoRR
Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh
2022 B conf
On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections.
DCC
Mohammadreza Soltani, Suya Wu, Yuerong Li, Jie Ding, Vahid Tarokh
2022 J jnl
On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections.
CoRR
Mohammadreza Soltani, Suya Wu, Yuerong Li, Jie Ding, Vahid Tarokh
2022 J jnl
Score-Based Hypothesis Testing for Unnormalized Models.
IEEE Access
Suya Wu, Enmao Diao, Khalil Elkhalil, Jie Ding, Vahid Tarokh
2021 B conf
Compressing Deep Networks Using Fisher Score of Feature Maps.
DCC
Mohammadreza Soltani, Suya Wu, Yuerong Li, Robert J. Ravier, Jie Ding, Vahid Tarokh
2020 B conf
Deep Clustering of Compressed Variational Embeddings.
DCC
Suya Wu, Enmao Diao, Jie Ding, Vahid Tarokh
2020 B conf
On the Information of Feature Maps and Pruning of Deep Neural Networks.
ICPR
Mohammadreza Soltani, Suya Wu, Jie Ding, Robert J. Ravier, Vahid Tarokh
2019 J jnl
Deep Clustering of Compressed Variational Embeddings.
CoRR
Suya Wu, Enmao Diao, Jie Ding, Vahid Tarokh