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 (AAAI, 2019)

Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method. - Guihong Wan; Crystal Maung; Haim Schweitzer (ICTAI, 2019)

A Bias Trick for Centered Robust Principal Component Analysis. - Baokun He; Guihong Wan; Haim Schweitzer (CoRR, 2019)

A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract). - Baokun He; Guihong Wan; Haim Schweitzer (AAAI, 2020)

Fast Distance Metrics in Low-dimensional Space for Neighbor Search Problems. - Guihong Wan; Crystal Maung; Chenxu Zhang; Haim Schweitzer (ICDM, 2020)

Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality. - Guihong Wan; Haim Schweitzer (AAAI, 2021)

A New Robust Subspace Recovery Algorithm (Student Abstract). - Guihong Wan; Haim Schweitzer (AAAI, 2021)

Edge Sparsification for Graphs via Meta-Learning. - Guihong Wan; Haim Schweitzer (ICDE, 2021)

A Lookahead Algorithm for Robust Subspace Recovery. - Guihong Wan; Haim Schweitzer (ICDM, 2021)

Heuristic Search for Approximating One Matrix in Terms of Another Matrix. - Guihong Wan; Haim Schweitzer (IJCAI, 2021)

A Fast Algorithm for Simultaneous Sparse Approximation. - Guihong Wan; Haim Schweitzer (PAKDD (3), 2021)

EEG Source Imaging using GANs with Deep Image Prior. - Yaxin Guo; Meng Jiao; Guihong Wan; Jing Xiang; Shouyi Wang; Feng Liu 011 (EMBC, 2022)

Extended Electrophysiological Source Imaging with Spatial Graph Filters. - Feng Liu 011; Guihong Wan; Yevgeniy R. Semenov; Patrick L. Purdon (MICCAI (1), 2022)

Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality. - Guihong Wan; Meng Jiao; Xinglong Ju; Yu Zhang; Haim Schweitzer; Feng Liu (AAAI, 2023)

MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging. - Meng Jiao; Shihao Yang 001; Boyu Wang 004; Xiaochen Xian; Yevgeniy R. Semenov; Guihong Wan; Feng Liu 011 (BI, 2023)

Graph Clustering Methods Derived from Column Subset Selection (Student Abstract). - Wei Mao; Guihong Wan; Haim Schweitzer (AAAI, 2024)

Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract). - Guihong Wan; Wei Mao; Yevgeniy R. Semenov; Haim Schweitzer (AAAI, 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 (AAAI, 2024)

SpatialCells: automated profiling of tumor microenvironments with spatially resolved multiplexed single-cell data. - Guihong Wan; Zoltan Maliga; Boshen Yan; Tuulia Vallius; Yingxiao Shi; Sara Khattab; Crystal Chang; Ajit Johnson Nirmal; Kun-Hsing Yu; David S. L. Wei; Christine G. Lian; Mia S. Desimone; et al. (Briefings Bioinform., 2024)

The art of centering without centering for robust principal component analysis. - Guihong Wan; Baokun He; Haim Schweitzer (Data Min. Knowl. Discov., 2024)

Spectral pursuit for simultaneous sparse representation with accuracy guarantees. - Guihong Wan; Haim Schweitzer (Int. J. Data Sci. Anal., 2024)

Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract). - Guihong Wan; Ninghui Hao; Crystal Maung; Haim Schweitzer; Chen Zhao 010; Kun-Hsing Yu; Yevgeniy R. Semenov (AAAI, 2025)

A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks. - Dong Li 034; Guihong Wan; Xintao Wu; Xinyu Wu; Ajit Johnson Nirmal; Christine G. Lian; Peter K. Sorger; Yevgeniy R. Semenov; Chen Zhao 010 (CoRR, 2025)

Multi-Modal Foundation Models for Computational Pathology: A Survey. - Dong Li 034; Guihong Wan; Xintao Wu; Xinyu Wu; Xiaohui Chen; Yi He; Christine G. Lian; Peter K. Sorger; Yevgeniy R. Semenov; Chen Zhao 010 (CoRR, 2025)