Guihong Wan

27 papers A* 14B 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks.
CoRR
Dong Li, Guihong Wan, Xintao Wu, Xinyu Wu, Ajit Johnson Nirmal, Christine G. Lian, Peter K. Sorger, Yevgeniy R. Semenov, Chen Zhao
2025 A* conf
FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models.
IJCAI
Yujie Lin, Dong Li, Minglai Shao, Guihong Wan, Chen Zhao
2025 J jnl
Multi-Modal Foundation Models for Computational Pathology: A Survey.
CoRR
Dong Li, Guihong Wan, Xintao Wu, Xinyu Wu, Xiaohui Chen, Yi He, Christine G. Lian, Peter K. Sorger, Yevgeniy R. Semenov, Chen Zhao
2025 J jnl
Multi-Modal Foundation Models for Computational Pathology: A Survey.
Trans. Mach. Learn. Res.
Dong Li, Guihong Wan, Xintao Wu, Xinyu Wu, Xiaohui Chen, Yi He, Zhong Chen, Peter K. Sorger, Chen Zhao
2025 A* conf
Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract).
AAAI
Guihong Wan, Ninghui Hao, Crystal Maung, Haim Schweitzer, Chen Zhao, Kun-Hsing Yu, Yevgeniy R. Semenov
2024 A* conf
Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract).
AAAI
Guihong Wan, Wei Mao, Yevgeniy R. Semenov, Haim Schweitzer
2024 A* conf
Graph Clustering Methods Derived from Column Subset Selection (Student Abstract).
AAAI
Wei Mao, Guihong Wan, Haim Schweitzer
2024 A* conf
Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract).
AAAI
Boshen Yan, Guihong Wan, Haim Schweitzer, Zoltan Maliga, Sara Khattab, Kun-Hsing Yu, Peter K. Sorger, Yevgeniy R. Semenov
2024 J jnl
SpatialCells: automated profiling of tumor microenvironments with spatially resolved multiplexed single-cell data.
Briefings Bioinform.
Guihong Wan, Zoltan Maliga, Boshen Yan, Tuulia Vallius, Yingxiao Shi, Sara Khattab, Crystal T. Chang, Ajit Johnson Nirmal, Kun-Hsing Yu, David S. L. Wei, Christine G. Lian, Mia S. Desimone, Peter K. Sorger, Yevgeniy R. Semenov
2024 J jnl
Spectral pursuit for simultaneous sparse representation with accuracy guarantees.
Int. J. Data Sci. Anal.
Guihong Wan, Haim Schweitzer
2024 J jnl
The art of centering without centering for robust principal component analysis.
Data Min. Knowl. Discov.
Guihong Wan, Baokun He, Haim Schweitzer
2023 A* conf
Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality.
AAAI
Guihong Wan, Meng Jiao, Xinglong Ju, Yu Zhang, Haim Schweitzer, Feng Liu
2023 — conf
MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging.
BI
Meng Jiao, Shihao Yang, Boyu Wang, Xiaochen Xian, Yevgeniy R. Semenov, Guihong Wan, Feng Liu
2022 — conf
EEG Source Imaging using GANs with Deep Image Prior.
EMBC
Yaxin Guo, Meng Jiao, Guihong Wan, Jing Xiang, Shouyi Wang, Feng Liu
2022 — conf
Extended Electrophysiological Source Imaging with Spatial Graph Filters.
MICCAI (1)
Feng Liu, Guihong Wan, Yevgeniy R. Semenov, Patrick L. Purdon
2021 — conf
A Fast Algorithm for Simultaneous Sparse Approximation.
PAKDD (3)
Guihong Wan, Haim Schweitzer
2021 A* conf
A Lookahead Algorithm for Robust Subspace Recovery.
ICDM
Guihong Wan, Haim Schweitzer
2021 A* conf
A New Robust Subspace Recovery Algorithm (Student Abstract).
AAAI
Guihong Wan, Haim Schweitzer
2021 A* conf
Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality.
AAAI
Guihong Wan, Haim Schweitzer
2021 A* conf
Edge Sparsification for Graphs via Meta-Learning.
ICDE
Guihong Wan, Haim Schweitzer
2021 A* conf
Heuristic Search for Approximating One Matrix in Terms of Another Matrix.
IJCAI
Guihong Wan, Haim Schweitzer
2020 A* conf
A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract).
AAAI
Baokun He, Guihong Wan, Haim Schweitzer
2020 A* conf
Fast Distance Metrics in Low-dimensional Space for Neighbor Search Problems.
ICDM
Guihong Wan, Crystal Maung, Chenxu Zhang, Haim Schweitzer
2019 J jnl
A Bias Trick for Centered Robust Principal Component Analysis.
CoRR
Baokun He, Guihong Wan, Haim Schweitzer
2019 A* conf
Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction.
AAAI
Baokun He, Swair Shah, Crystal Maung, Gordon Arnold, Guihong Wan, Haim Schweitzer
2019 B conf
Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method.
ICTAI
Guihong Wan, Crystal Maung, Haim Schweitzer
2019 J jnl
Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method.
CoRR
Guihong Wan, Crystal Maung, Haim Schweitzer