ML Anthology

Wang, Fangdi

4 publications

ICML 2025 Automatically Identify and Rectify: Robust Deep Contrastive Multi-View Clustering in Noisy Scenarios Xihong Yang, Siwei Wang, Fangdi Wang, Jiaqi Jin, Suyuan Liu, Yue Liu, En Zhu, Xinwang Liu, Yueming Jin
ICCV 2025 Generalized Deep Multi-View Clustering via Causal Learning with Partially Aligned Cross-View Correspondence Xihong Yang, Siwei Wang, Jiaqi Jin, Fangdi Wang, Tianrui Liu, Yueming Jin, Xinwang Liu, En Zhu, Kunlun He
ICCV 2025 Intra-View and Inter-View Correlation Guided Multi-View Novel Class Discovery Xinhang Wan, Jiyuan Liu, Qian Qu, Suyuan Liu, Chuyu Zhang, Fangdi Wang, Xinwang Liu, En Zhu, Kunlun He
NeurIPS 2024 Evaluate Then Cooperate: Shapley-Based View Cooperation Enhancement for Multi-View Clustering Fangdi Wang, Jiaqi Jin, Jingtao Hu, Suyuan Liu, Xihong Yang, Siwei Wang, Xinwang Liu, En Zhu