A Semi-supervised Clustering Method through Bottleneck Distance Exploration. - Yuan Yao 016; Yan Li 040; Ke Wang; Zhichao Huang 001; Yunming Ye (ICSS, 2016)

Heterogeneous Domain Adaptation via Soft Transfer Network. - Yuan Yao 016; Yu Zhang 006; Xutao Li; Yunming Ye (ACM Multimedia, 2019)

Low-resolution image categorization via heterogeneous domain adaptation. - Yuan Yao 016; Xutao Li; Yunming Ye; Feng Liu 034; Michael K. Ng 001; Zhichao Huang 001; Yu Zhang 006 (Knowl. Based Syst., 2019)

Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network. - Yuan Yao 016; Xutao Li; Yu Zhang 006; Yunming Ye (CoRR, 2020)

TLVANE: a two-level variation model for attributed network embedding. - Zhichao Huang 001; Xutao Li; Yunming Ye; Feng Li 022; Feng Liu 034; Yuan Yao 016 (Neural Comput. Appl., 2020)

Discriminative distribution alignment: A unified framework for heterogeneous domain adaptation. - Yuan Yao 016; Yu Zhang 006; Xutao Li; Yunming Ye (Pattern Recognit., 2020)

MLCE: A Multi-Label Crotch Ensemble Method for Multi-Label Classification. - Yuan Yao 016; Yan Li 040; Yunming Ye; Xutao Li (Int. J. Pattern Recognit. Artif. Intell., 2021)

Multisource Heterogeneous Domain Adaptation With Conditional Weighting Adversarial Network. - Yuan Yao 016; Xutao Li; Yu Zhang 006; Yunming Ye (IEEE Trans. Neural Networks Learn. Syst., 2023)

Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective. - Yulong Zhang; Yuan Yao 016; Shuhao Chen; Pengrong Jin; Yu Zhang 006; Jian Jin; Jiangang Lu (ICML, 2024)