Wan, Guihong

12 publications

IJCAI 2025 FADE: Towards Fairness-Aware Data Generation for Domain Generalization via Classifier-Guided Score-Based Diffusion Models Yujie Lin, Dong Li, Minglai Shao, Guihong Wan, Chen Zhao

TMLR 2025 Multi-Modal Foundation Models for Computational Pathology: A Survey Dong Li, Guihong Wan, Xintao Wu, Xinyu Wu, Xiaohui Chen, Yi He, Zhong Chen, Peter K Sorger, Chen Zhao

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

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

AAAI 2024 Graph Clustering Methods Derived from Column Subset Selection (Student Abstract) Wei Mao, Guihong Wan, 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 2023 Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality Guihong Wan, Meng Jiao, Xinglong Ju, Yu Zhang, Haim Schweitzer, Feng Liu

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

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

IJCAI 2021 Heuristic Search for Approximating One Matrix in Terms of Another Matrix Guihong Wan, Haim Schweitzer

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

AAAI 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