Multi-View K-Means with Laplacian Embedding. - Zhezheng Hao; Zhoumin Lu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (ICASSP, 2023)

Multi-Class Support Vector Machine with Maximizing Minimum Margin. - Feiping Nie 001; Zhezheng Hao; Rong Wang 001 (AAAI, 2024)

Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving. - Zhezheng Hao; Haonan Xin; Long Wei; Liaoyuan Tang; Rong Wang 001; Feiping Nie 001 (WWW, 2024)

Acceleration Algorithms in GNNs: A Survey. - Lu Ma; Zeang Sheng; Xunkai Li; Xinyi Gao 001; Zhezheng Hao; Ling Yang 006; Wentao Zhang 001; Bin Cui 001 (CoRR, 2024)

Multi-view and Multi-order Graph Clustering via Constrained l1,2-norm. - Haonan Xin; Zhezheng Hao; Zhensheng Sun; Rong Wang 001; Zongcheng Miao; Feiping Nie 001 (Inf. Fusion, 2024)

Ensemble Clustering With Attentional Representation. - Zhezheng Hao; Zhoumin Lu; Guoxu Li; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Language Pre-training Guided Masking Representation Learning for Time Series Classification. - Liaoyuan Tang; Zheng Wang 037; Jie Wang 024; Guanxiong He; Zhezheng Hao; Rong Wang 001; Feiping Nie 001 (AAAI, 2025)

Uncertainty-Aware Graph Structure Learning. - Shen Han; Zhiyao Zhou; Jiawei Chen 007; Zhezheng Hao; Sheng Zhou 004; Gang Wang 055; Yan Feng; Chun Chen 001; Can Wang 001 (WWW, 2025)

Acceleration Algorithms in GNNs: A Survey. - Lu Ma; Zeang Sheng; Xunkai Li; Xinyi Gao 001; Zhezheng Hao; Ling Yang 006; Xiaonan Nie; Jiawei Jiang 001; Wentao Zhang 001; Bin Cui 001 (IEEE Trans. Knowl. Data Eng., 2025)