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)

Incremental Graph Classification by Class Prototype Construction and Augmentation. - Yixin Ren; Li Ke; Dong Li; Hui Xue 001; Zhao Li 007; Shuigeng Zhou (CIKM, 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)

On the pseudorandom properties of $ k $-ary Sidel'nikov sequences. - Huaning Liu; Yixin Ren (Adv. Math. Commun., 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)

Balance, pattern distribution and linear complexity of M-ary sequences from Sidel'nikov sequences. - Huaning Liu; Yixin Ren (Appl. Algebra Eng. Commun. Comput., 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)

xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations. - Kaiyuan Chen; Yixin Ren; Yang Liu; Xiaobo Hu; Haotong Tian; Tianbao Xie; Fangfu Liu; Haoye Zhang; Hongzhang Liu; Yuan Gong; Chen Sun; Han Hou; et al. (CoRR, 2025)