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 Testing

• 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)

• 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)

Continual Learning/Mitigating Catastrophic Forgetting

• Mitigating Knowledge Forgetting by Generative Knowledge Replay and Forgetting-aware Aggregation in Semi-Supervised Federated Learning
  Hongquan Liu, Yixin Ren, Jihong Guan, Shuigeng Zhou.
  IEEE International Conference on Multimedia & Expo (ICME 2025)

• A New Model for Prototype-based Continual Learning in Hyperspherical Space
  Yixin Ren, Yewei Xia, Li Ke, Longtao Huang, Hui Xue, Shuigeng Zhou.
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025)

• Incremental graph classification by class prototype construction and augmentation.
  Yixin Ren, Li Ke, Dong Li, Hui Xue, Zhao Li, Shuigeng Zhou.
  Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023)

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)