Differentially Private Nonlinear Causal Discovery from Numerical Data. - Hao Zhang 079; Yewei Xia; Yixin Ren; Jihong Guan; Shuigeng Zhou (AAAI, 2023)

Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance. - Yixin Ren; Hao Zhang 079; Yewei Xia; Jihong Guan; Shuigeng Zhou (AAAI, 2023)

Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance. - Yewei Xia; Hao Zhang 079; Yixin Ren; Jihong Guan; Shuigeng Zhou (ICDM, 2023)

Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings. - Yuxi Mi; Hongquan Liu; Yewei Xia; Yiheng Sun; Jihong Guan; Shuigeng Zhou (CoRR, 2023)

Causal Gene Identification Using Non-Linear Regression-Based Independence Tests. - Hao Zhang 079; Chuanxu Yan; Yewei Xia; Jihong Guan; Shuigeng Zhou (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Conditional Independence Test Based on Residual Similarity. - Hao Zhang 079; Yewei Xia; Kun Zhang 001; Shuigeng Zhou; Jihong Guan (ACM Trans. Knowl. Discov. Data, 2023)

Self-Supervised Learning for Multimedia Recommendation. - Zhulin Tao; Xiaohao Liu; Yewei Xia; Xiang Wang 010; Lifang Yang; Xianglin Huang; Tat-Seng Chua (IEEE Trans. Multim., 2023)

Learning Adaptive Kernels for Statistical Independence Tests. - Yixin Ren; Yewei Xia; Hao Zhang 079; Jihong Guan; Shuigeng Zhou (AISTATS, 2024)

Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing. - Yixin Ren; Yewei Xia; Hao Zhang 079; Jihong Guan; Shuigeng Zhou (NeurIPS, 2024)

Hybrid Causal Feature Selection for Cancer Biomarker Identification From RNA-Seq Data. - Wenwei Xu; Hao Zhang 079; Yewei Xia; Yixin Ren; Jihong Guan; Shuigeng Zhou (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Towards Effective Causal Partitioning by Edge Cutting of Adjoint Graph. - Hao Zhang 079; Yixin Ren; Yewei Xia; Shuigeng Zhou; Jihong Guan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A New Model for Prototype-based Continual Learning in Hyperspherical Space. - Yixin Ren; Yewei Xia; Li Ke; Longtao Huang; Hui Xue 001; Shuigeng Zhou (ICASSP, 2025)

Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity. - Yixin Ren; Haocheng Zhang; Yewei Xia; Hao Zhang 079; Jihong Guan; Shuigeng Zhou (KDD (1), 2025)

Regression-based conditional independence test with adaptive kernels. - Yixin Ren; Juncai Zhang; Yewei Xia; Ruxin Wang 001; Feng Xie 002; Jihong Guan; Hao Zhang 079; Shuigeng Zhou (Artif. Intell., 2025)

Score-based Generative Modeling for Conditional Independence Testing. - Yixin Ren; Chenghou Jin; Yewei Xia; Li Ke; Longtao Huang; Hui Xue 001; Hao Zhang 079; Jihong Guan; Shuigeng Zhou (CoRR, 2025)