Structure-Preserving Graph Representation Learning. - Ruiyi Fang; Liangjian Wen; Zhao Kang 001; Jianzhuang Liu (ICDM, 2022)

Wasserstein Distance Based Domain Adversarial Autoencoder for Industrial Few-sample Fault Detection. - Ruiyi Fang; Kai Wang 024; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001 (ASCC, 2024)

Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression. - Ruizhi Pu; Gezheng Xu; Ruiyi Fang; Binkun Bao; Charles X. Ling; Boyu Wang 004 (CoRR, 2024)

Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression. - Ruizhi Pu; Gezheng Xu; Ruiyi Fang; Bingkun Bao; Charles Ling 001; Boyu Wang 004 (AAAI, 2025)

On the Benefits of Attribute-Driven Graph Domain Adaptation. - Ruiyi Fang; Bingheng Li; Zhao Kang 001; Qiuhao Zeng; Nima Hosseini Dashtbayaz; Ruizhi Pu; Charles Ling 001; Boyu Wang 004 (ICLR, 2025)

Multi-step difference-driven domain adversarial network for few-sample fault detection in dynamic industrial systems. - Ruiyi Fang; Kai Wang 024; Xiaofeng Yuan; Zeyu Yang; Yalin Wang 003; Chunhua Yang 001 (Eng. Appl. Artif. Intell., 2025)

Simplified PCNet with robustness. - Bingheng Li; Xuanting Xie; Haoxiang Lei; Ruiyi Fang; Zhao Kang 001 (Neural Networks, 2025)

Homophily Enhanced Graph Domain Adaptation. - Ruiyi Fang; Bingheng Li; Jingyu Zhao; Ruizhi Pu; Qiuhao Zeng; Gezheng Xu; Charles Ling 001; Boyu Wang 004 (CoRR, 2025)