Suya Wu

According to our database, Suya Wu authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Cross-subject mapping of neural activity with restricted Boltzmann machines.

Haoming Yang, Marko Angjelichinoski, Suya Wu, Joy Putney, Simon Sponberg, Vahid Tarokh

Frontiers Comput. Neurosci., 2026

TraceRing: Touchpad-like Pointing with a Single IMU Ring through Personalized Learning.

Zhe He, Weinan Shi, Zixuan Wang, Suya Wu, Xiyuan Shen, Chengchi Zhou, Chun Yu, Yuanchun Shi

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Robust Score-Based Quickest Change Detection.

Sean Moushegian, Suya Wu, Enmao Diao, Jie Ding, Taposh Banerjee, Vahid Tarokh

IEEE Trans. Inf. Theory, July, 2025

2024

Quickest Change Detection for Unnormalized Statistical Models.

Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh

IEEE Trans. Inf. Theory, February, 2024

ColA: Collaborative Adaptation with Gradient Learning.

Enmao Diao, Qi Le, Suya Wu, Xinran Wang, Ali Anwar, Jie Ding, Vahid Tarokh

CoRR, 2024

Recursive Least Squares With Minimax Concave Penalty Regularization for Adaptive System Identification.

Bowen Li, Suya Wu, Erin E. Tripp, Ali Pezeshki, Vahid Tarokh

IEEE Access, 2024

2023

Robust Quickest Change Detection for Unnormalized Models.

Suya Wu, Enmao Diao, Jie Ding, Taposh Banerjee, Vahid Tarokh

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Score-based Quickest Change Detection for Unnormalized Models.

Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Score-Based Hypothesis Testing for Unnormalized Models.

Suya Wu, Enmao Diao, Khalil Elkhalil, Jie Ding, Vahid Tarokh

IEEE Access, 2022

On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections.

Mohammadreza Soltani, Suya Wu, Yuerong Li, Jie Ding, Vahid Tarokh

Proceedings of the Data Compression Conference, 2022

Multi-Agent Adversarial Attacks for Multi-Channel Communications.

Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Compressing Deep Networks Using Fisher Score of Feature Maps.

Mohammadreza Soltani, Suya Wu, Yuerong Li, Robert J. Ravier, Jie Ding, Vahid Tarokh

Proceedings of the 31st Data Compression Conference, 2021

2020

On the Information of Feature Maps and Pruning of Deep Neural Networks.

Mohammadreza Soltani, Suya Wu, Jie Ding, Robert J. Ravier, Vahid Tarokh

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Deep Clustering of Compressed Variational Embeddings.

Suya Wu, Enmao Diao, Jie Ding, Vahid Tarokh

Proceedings of the Data Compression Conference, 2020