Guihong Wan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Maximum Entropy

Principal Component Analysis

Spectral Clustering

Subset Selection

Top Venues

Publications

Wei Mao, Guihong Wan, Haim Schweitzer
Graph Clustering Methods Derived from Column Subset Selection (Student Abstract). AAAI (2024)
Guihong Wan, Baokun He, Haim Schweitzer
The art of centering without centering for robust principal component analysis. Data Min. Knowl. Discov. 38 (2) (2024)
Boshen Yan, Guihong Wan, Haim Schweitzer, Zoltan Maliga, Sara Khattab, Kun-Hsing Yu, Peter K. Sorger, Yevgeniy R. Semenov
Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract). AAAI (2024)
Guihong Wan, Wei Mao, Yevgeniy R. Semenov, Haim Schweitzer
Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract). AAAI (2024)
Guihong Wan, Haim Schweitzer
Spectral pursuit for simultaneous sparse representation with accuracy guarantees. Int. J. Data Sci. Anal. 17 (4) (2024)
Guihong Wan, Meng Jiao, Xinglong Ju, Yu Zhang, Haim Schweitzer, Feng Liu
Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality. AAAI (2023)
Meng Jiao, Shihao Yang, Boyu Wang, Xiaochen Xian, Yevgeniy R. Semenov, Guihong Wan, Feng Liu
MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging. BI (2023)
Feng Liu, Guihong Wan, Yevgeniy R. Semenov, Patrick L. Purdon
Extended Electrophysiological Source Imaging with Spatial Graph Filters. MICCAI (1) (2022)
Yaxin Guo, Meng Jiao, Guihong Wan, Jing Xiang, Shouyi Wang, Feng Liu
EEG Source Imaging using GANs with Deep Image Prior. EMBC (2022)
Guihong Wan, Haim Schweitzer
Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality. AAAI (2021)
Guihong Wan, Haim Schweitzer
Heuristic Search for Approximating One Matrix in Terms of Another Matrix. IJCAI (2021)
Guihong Wan, Haim Schweitzer
Edge Sparsification for Graphs via Meta-Learning. ICDE (2021)
Guihong Wan, Haim Schweitzer
A New Robust Subspace Recovery Algorithm (Student Abstract). AAAI (2021)
Guihong Wan, Haim Schweitzer
A Lookahead Algorithm for Robust Subspace Recovery. ICDM (2021)
Guihong Wan, Haim Schweitzer
A Fast Algorithm for Simultaneous Sparse Approximation. PAKDD (3) (2021)
Baokun He, Guihong Wan, Haim Schweitzer
A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract). AAAI (2020)
Guihong Wan, Crystal Maung, Chenxu Zhang, Haim Schweitzer
Fast Distance Metrics in Low-dimensional Space for Neighbor Search Problems. ICDM (2020)
Guihong Wan, Crystal Maung, Haim Schweitzer
Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method. ICTAI (2019)
Baokun He, Guihong Wan, Haim Schweitzer
A Bias Trick for Centered Robust Principal Component Analysis. CoRR (2019)
Guihong Wan, Crystal Maung, Haim Schweitzer
Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method. CoRR (2019)
Baokun He, Swair Shah, Crystal Maung, Gordon Arnold, Guihong Wan, Haim Schweitzer
Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction. AAAI (2019)