Chen, Xiaohui

27 publications

ICLR 2026 Scalable Second-Order Riemannian Optimization for $k$-Means Clustering Peng Xu, Chun Ying Hou, Xiaohui Chen, Richard Y. Zhang

ICLR 2026 Sobolev Gradient Ascent for Optimal Transport: Barycenter Optimization and Convergence Analysis Kaheon Kim, Bohan Zhou, Changbo Zhu, Xiaohui Chen

NeurIPS 2025 A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation Hao-Ran Yang, Xiaohui Chen, Chuan-Xian Ren

ICCV 2025 CompCap: Improving Multimodal Large Language Models with Composite Captions Xiaohui Chen, Satya Narayan Shukla, Mahmoud Azab, Aashu Singh, Qifan Wang, David Yang, ShengYun Peng, Hanchao Yu, Shen Yan, Xuewen Zhang, Baosheng He

ICML 2025 Graph Generative Pre-Trained Transformer Xiaohui Chen, Yinkai Wang, Jiaxing He, Yuanqi Du, Soha Hassoun, Xiaolin Xu, Liping Liu

ICLRW 2025 Graph Generative Pre-Trained Transformer Xiaohui Chen, Yinkai Wang, Jiaxing He, Yuanqi Du, Soha Hassoun, Xiaolin Xu, Liping Liu

ICLRW 2025 Large Language Model Is Secretly a Protein Sequence Optimizer Yinkai Wang, Jiaxing He, Yuanqi Du, Xiaohui Chen, Jianan Canal Li, Liping Liu, Xiaolin Xu, Soha Hassoun

ICLR 2025 MADGEN: Mass-Spec Attends to De Novo Molecular Generation Yinkai Wang, Xiaohui Chen, Liping Liu, Soha Hassoun

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

ICML 2025 Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization Kaheon Kim, Rentian Yao, Changbo Zhu, Xiaohui Chen

UAI 2024 GeONet: A Neural Operator for Learning the Wasserstein Geodesic Andrew Gracyk, Xiaohui Chen

ICLR 2024 Statistically Optimal $k$-Means Clustering via Nonnegative Low-Rank Semidefinite Programming Yubo Zhuang, Xiaohui Chen, Yun Yang, Richard Y. Zhang

JMLR 2024 Wasserstein Proximal Coordinate Gradient Algorithms Rentian Yao, Xiaohui Chen, Yun Yang

NeurIPSW 2023 EDGE++: Improved Training and Sampling of EDGE Xiaohui Chen, Mingyang Wu, Liping Liu

NeurIPSW 2023 EDGE++: Improved Training and Sampling of EDGE Xiaohui Chen, Mingyang Wu, Liping Liu

ICML 2023 Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling Xiaohui Chen, Jiaxing He, Xu Han, Liping Liu

JMLR 2023 Fitting Autoregressive Graph Generative Models Through Maximum Likelihood Estimation Xu Han, Xiaohui Chen, Francisco J. R. Ruiz, Li-Ping Liu

ICML 2023 Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data Yubo Zhuang, Xiaohui Chen, Yun Yang

NeurIPS 2023 On Separate Normalization in Self-Supervised Transformers Xiaohui Chen, Yinkai Wang, Yuanqi Du, Soha Hassoun, Liping Liu

ICMLW 2023 Understanding the Efficacy of U-Net & Vision Transformer for Groundwater Numerical Modelling Maria Luisa Taccari, Oded Ovadia, He Wang, Xiaohui Chen, Adar Kahana, Peter Jimack

AISTATS 2022 Sketch-and-Lift: Scalable Subsampled Semidefinite Program for K-Means Clustering Yubo Zhuang, Xiaohui Chen, Yun Yang

TMLR 2022 Interpretable Node Representation with Attribute Decoding Xiaohui Chen, Xi Chen, Liping Liu

COLT 2022 Mean-Field Nonparametric Estimation of Interacting Particle Systems Rentian Yao, Xiaohui Chen, Yun Yang

NeurIPS 2022 Wasserstein $k$-Means for Clustering Probability Distributions Yubo Zhuang, Xiaohui Chen, Yun Yang

AAAI 2021 GAN Ensemble for Anomaly Detection Xu Han, Xiaohui Chen, Li-Ping Liu

ICML 2021 Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation Xiaohui Chen, Xu Han, Jiajing Hu, Francisco Ruiz, Liping Liu

AISTATS 2012 A Two-Graph Guided Multi-Task Lasso Approach for eQTL Mapping Xiaohui Chen, Xinghua Shi, Xing Xu, Zhiyong Wang, Ryan Mills, Charles Lee, Jinbo Xu