Adaptive Textual Label Noise Learning based on Pre-trained Models. - Shaohuan Cheng; Wenyu Chen 001; Mingsheng Fu; Xuanting Xie; Hong Qu (EMNLP (Findings), 2023)

Contrastive graph clustering with adaptive filter. - Xuanting Xie; Wenyu Chen 001; Zhao Kang 001; Chong Peng 001 (Expert Syst. Appl., 2023)

Provable Filter for Real-world Graph Clustering. - Xuanting Xie; Erlin Pan; Zhao Kang 001; Wenyu Chen 001; Bingheng Li (CoRR, 2024)

One Node One Model: Featuring the Missing-Half for Graph Clustering. - Xuanting Xie; Bingheng Li; Erlin Pan; Zhaochen Guo; Zhao Kang 001; Wenyu Chen 001 (AAAI, 2025)

Decoupled Feature Matching for Few-shot Counting and Localization. - Chao Zhai; Fan Zhang 068; Wenyu Chen 001; Malu Zhang; Fan Li; Xuanting Xie (ICASSP, 2025)

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

Robust graph structure learning under heterophily. - Xuanting Xie; Wenyu Chen 001; Zhao Kang 001 (Neural Networks, 2025)

Disentangling Homophily and Heterophily in Multimodal Graph Clustering. - Zhaochen Guo; Zhixiang Shen; Xuanting Xie; Liangjian Wen; Zhao Kang 001 (CoRR, 2025)

Aggregation-aware MLP: An Unsupervised Approach for Graph Message-passing. - Xuanting Xie; Bingheng Li; Erlin Pan; Zhao Kang 001; Wenyu Chen 001 (CoRR, 2025)

CDC: A Simple Framework for Complex Data Clustering. - Zhao Kang 001; Xuanting Xie; Bingheng Li; Erlin Pan (IEEE Trans. Neural Networks Learn. Syst., 2025)