Publications

Sorted by Research Topics

Causal Discovery under the Practical Issues

• [Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity].
  Yixin Ren, Haocheng Zhang, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou.
  31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025 Research Track August)

• Towards Effective Causal Partitioning by Edge Cutting of Adjoint Graph.
  Hao Zhang*, Yixin Ren, Yewei Xia*, Shuigeng Zhou, Jihong Guan.
  IEEE/ACM Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

• Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance.
  Yewei Xia, Hao Zhang, Yixin Ren, Jihong Guan, and Shuigeng Zhou.
  23rd IEEE International Conference on Data Mining (ICDM 2023, regular paper, acceptance rate $\sim$ 9.37%)

• Differentially Private Nonlinear Causal Discovery from Numerical Data.
  Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou.
  37th AAAI Conference on Artificial Intelligence (AAAI 2023)

Statistical Test

• Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing.
  Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou.
  38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024)

• Learning Adaptive Kernels for Statistical Independence Tests.
  Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou.
  27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024)

• Conditional Independence Test Based on Residual Similarity.
  Hao Zhang*, Yewei Xia*, Kun Zhang, Shuigeng Zhou, Jihong Guan.
  ACM Transactions on Knowledge Discovery from Data (TKDD)

• Multi-level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance.
  Yixin Ren, Hao Zhang, Yewei Xia, Jihong Guan, Shuigeng Zhou.
  37th AAAI Conference on Artificial Intelligence (AAAI 2023)

Multi-modal Recommendation

• Self-supervised Learning for Multimedia Recommendation.
  Zhulin Tao, Xiaohao Liu, Yewei Xia, Xiang Wang, Lifang Yang, Xianglin Huang, Tat-Seng Chua.
  IEEE Transactions on Multimedia (TMM)

Discover Causal Knowledge in Biological Data

• Hybrid Causal Feature Selection for Cancer Biomarker Identification from RNA-seq Data.
  Wenwei Xu*, Hao Zhang*, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou.
  IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

• Causal Gene Identification Using Non-linear Regression-based Independence Tests.
  Hao Zhang, Chuanxu Yan, Yewei Xia, Jihong Guan, Shuigeng Zhou.
  IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)