Yewei Xia

According to our database, Yewei Xia authored at least 9 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards Effective Causal Partitioning by Edge Cutting of Adjoint Graph.

Hao Zhang, Yixin Ren, Yewei Xia, Shuigeng Zhou, Jihong Guan

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Learning Adaptive Kernels for Statistical Independence Tests.

Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Self-Supervised Learning for Multimedia Recommendation.

Zhulin Tao, Xiaohao Liu, Yewei Xia, Xiang Wang, Lifang Yang, Xianglin Huang, Tat-Seng Chua

IEEE Trans. Multim., 2023

Conditional Independence Test Based on Residual Similarity.

Hao Zhang, Yewei Xia, Kun Zhang, Shuigeng Zhou, Jihong Guan

ACM Trans. Knowl. Discov. Data, 2023

Causal Gene Identification Using Non-Linear Regression-Based Independence Tests.

Hao Zhang, Chuanxu Yan, Yewei Xia, Jihong Guan, Shuigeng Zhou

IEEE ACM Trans. Comput. Biol. Bioinform., 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 Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance.

Yewei Xia, Hao Zhang, Yixin Ren, Jihong Guan, Shuigeng Zhou

Proceedings of the IEEE International Conference on Data Mining, 2023

Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance.

Yixin Ren, Hao Zhang, Yewei Xia, Jihong Guan, Shuigeng Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Differentially Private Nonlinear Causal Discovery from Numerical Data.

Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023