| 2026 | AAAI | Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation. | Chenghou Jin, Yixin Ren, Hongxu Ma, Yewei Xia, Yi Guan, Hao Zhang, Jiandong Ding, Jihong Guan, Shuigeng Zhou |
| 2025 | ICASSP | A New Model for Prototype-based Continual Learning in Hyperspherical Space. | Yixin Ren, Yewei Xia, Li Ke, Longtao Huang, Hui Xue, Shuigeng Zhou |
| 2025 | IJCAI | Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise. | Yewei Xia, Xueliang Cui, Hao Zhang, Yixin Ren, Feng Xie, Jihong Guan, Ruxin Wang, Shuigeng Zhou |
| 2025 | IJCAI | Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags. | Yewei Xia, Yixin Ren, Hong Cheng, Hao Zhang, Jihong Guan, Minchuan Xu, Shuigeng Zhou |
| 2025 | KDD | Score-based Generative Modeling for Conditional Independence Testing. | Yixin Ren, Chenghou Jin, Yewei Xia, Li Ke, Longtao Huang, Hui Xue, Hao Zhang, Jihong Guan, Shuigeng Zhou |
| 2025 | KDD | 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 |
| 2024 | AISTATS | Learning Adaptive Kernels for Statistical Independence Tests. | Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou |
| 2023 | AAAI | Differentially Private Nonlinear Causal Discovery from Numerical Data. | Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou |
| 2023 | AAAI | Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance. | Yixin Ren, Hao Zhang, Yewei Xia, Jihong Guan, Shuigeng Zhou |
| 2023 | CIKM | Incremental Graph Classification by Class Prototype Construction and Augmentation. | Yixin Ren, Li Ke, Dong Li, Hui Xue, Zhao Li, Shuigeng Zhou |
| 2023 | ICDM | Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance. | Yewei Xia, Hao Zhang, Yixin Ren, Jihong Guan, Shuigeng Zhou |