Guihong Wan

According to our database, Guihong Wan authored at least 20 papers between 2019 and 2024.

Collaborative distances:

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

2024

Spectral pursuit for simultaneous sparse representation with accuracy guarantees.

Guihong Wan, Haim Schweitzer

Int. J. Data Sci. Anal., May, 2024

The art of centering without centering for robust principal component analysis.

Guihong Wan, Baokun He, Haim Schweitzer

Data Min. Knowl. Discov., 2024

Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract).

Boshen Yan, Guihong Wan, Haim Schweitzer, Zoltan Maliga, Sara Khattab, Kun-Hsing Yu, Peter K. Sorger, Yevgeniy R. Semenov

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract).

Guihong Wan, Wei Mao, Yevgeniy R. Semenov, Haim Schweitzer

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Graph Clustering Methods Derived from Column Subset Selection (Student Abstract).

Wei Mao, Guihong Wan, Haim Schweitzer

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging.

Meng Jiao, Shihao Yang, Boyu Wang, Xiaochen Xian, Yevgeniy R. Semenov, Guihong Wan, Feng Liu

Proceedings of the Brain Informatics - 16th International Conference, 2023

Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality.

Guihong Wan, Meng Jiao, Xinglong Ju, Yu Zhang, Haim Schweitzer, Feng Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Extended Electrophysiological Source Imaging with Spatial Graph Filters.

Feng Liu, Guihong Wan, Yevgeniy R. Semenov, Patrick L. Purdon

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

EEG Source Imaging using GANs with Deep Image Prior.

Yaxin Guo, Meng Jiao, Guihong Wan, Jing Xiang, Shouyi Wang, Feng Liu

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

A Fast Algorithm for Simultaneous Sparse Approximation.

Guihong Wan, Haim Schweitzer

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Heuristic Search for Approximating One Matrix in Terms of Another Matrix.

Guihong Wan, Haim Schweitzer

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Lookahead Algorithm for Robust Subspace Recovery.

Guihong Wan, Haim Schweitzer

Proceedings of the IEEE International Conference on Data Mining, 2021

Edge Sparsification for Graphs via Meta-Learning.

Guihong Wan, Haim Schweitzer

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

A New Robust Subspace Recovery Algorithm (Student Abstract).

Guihong Wan, Haim Schweitzer

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality.

Guihong Wan, Haim Schweitzer

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fast Distance Metrics in Low-dimensional Space for Neighbor Search Problems.

Guihong Wan, Crystal Maung, Chenxu Zhang, Haim Schweitzer

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract).

Baokun He, Guihong Wan, Haim Schweitzer

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Bias Trick for Centered Robust Principal Component Analysis.

Baokun He, Guihong Wan, Haim Schweitzer

CoRR, 2019

Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method.

Guihong Wan, Crystal Maung, Haim Schweitzer

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction.

Baokun He, Swair Shah, Crystal Maung, Gordon Arnold, Guihong Wan, Haim Schweitzer

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019