Xihong Yang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 40

Top Topics

Int J Imaging Syst Technol

Unlabeled Instances

Supervised Learning

Graph Clustering

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu
Mixed Graph Contrastive Network for Semi-supervised Node Classification. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Zhenyu Zhou, Lei Luo, Sihang Zhou, Wang Li, Xihong Yang, Xinwang Liu, En Zhu
Task-Related Saliency for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. AAAI (2024)
Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian
Dual Test-time Training for Out-of-distribution Recommender System. CoRR (2024)
Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu
Mixed Graph Contrastive Network for Semi-supervised Node Classification. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li
DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. ICDE (2024)
Xiaochang Hu, Xin Xu, Yujun Zeng, Xihong Yang
Patch-Mixing Contrastive Regularization for Few-Label Semi-Supervised Learning. IEEE Trans. Artif. Intell. 5 (1) (2024)
Jiaxin Zhang, Yiqi Wang, Xihong Yang, En Zhu
A Fully Test-time Training Framework for Semi-supervised Node Classification on Out-of-Distribution Graphs. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu
Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering. AAAI (2024)
Qun Zheng, Xihong Yang, Siwei Wang, Xinru An, Qi Liu
Asymmetric double-winged multi-view clustering network for exploring diverse and consistent information. Neural Networks 179 (2024)
Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu
Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Jiaxin Zhang, Yiqi Wang, Xihong Yang, Siwei Wang, Yu Feng, Yu Shi, Ruicaho Ren, En Zhu, Xinwang Liu
Test-Time Training on Graphs with Large Language Models (LLMs). CoRR (2024)
Jiaxin Zhang, Yiqi Wang, Xihong Yang, En Zhu
A Fully Test-time Training Framework for Semi-supervised Node Classification on Out-of-Distribution Graphs. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
Dink-Net: Neural Clustering on Large Graphs. ICML (2023)
Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Xihong Yang, Stan Z. Li
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training. CoRR (2023)
Qun Zheng, Xihong Yang, Siwei Wang, Xinru An, Qi Liu
Asymmetric double-winged multi-view clustering network for exploring Diverse and Consistent Information. CoRR (2023)
Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang
Efficient Multi-View Graph Clustering with Local and Global Structure Preservation. ACM Multimedia (2023)
Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu
Cluster-Guided Contrastive Graph Clustering Network. AAAI (2023)
Xihong Yang, Jin Jiaqi, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu
DealMVC: Dual Contrastive Calibration for Multi-view Clustering. ACM Multimedia (2023)
Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. ACM Multimedia (2023)
Rundong He, Rongxue Li, Zhongyi Han, Xihong Yang, Yilong Yin
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection. ACM Multimedia (2023)
Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li
Reinforcement Graph Clustering with Unknown Cluster Number. ACM Multimedia (2023)
Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
Dink-Net: Neural Clustering on Large Graphs. CoRR (2023)
Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu
Cluster-guided Contrastive Graph Clustering Network. CoRR (2023)
Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li
Reinforcement Graph Clustering with Unknown Cluster Number. CoRR (2023)
Meng Liu, Ke Liang, Bin Xiao, Sihang Zhou, Wenxuan Tu, Yue Liu, Xihong Yang, Xinwang Liu
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment. CoRR (2023)
Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu
SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning. CoRR (2023)
Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang
Efficient Multi-View Graph Clustering with Local and Global Structure Preservation. CoRR (2023)
Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu
DealMVC: Dual Contrastive Calibration for Multi-view Clustering. CoRR (2023)
Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. CoRR (2023)
Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen
Hard Sample Aware Network for Contrastive Deep Graph Clustering. AAAI (2023)
Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang, Wenxuan Tu, Stan Z. Li, Xinwang Liu
A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application. CoRR (2022)
Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu
Deep Graph Clustering via Dual Correlation Reduction. AAAI (2022)
Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu, Xihong Yang
Improved Dual Correlation Reduction Network. CoRR (2022)
Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning. CoRR (2022)
Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen
Hard Sample Aware Network for Contrastive Deep Graph Clustering. CoRR (2022)
Xihong Yang, Yue Liu, Sihang Zhou, Xinwang Liu, En Zhu
Mixed Graph Contrastive Network for Semi-Supervised Node Classification. CoRR (2022)
Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu
Contrastive Deep Graph Clustering with Learnable Augmentation. CoRR (2022)
Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu
Deep Graph Clustering via Dual Correlation Reduction. CoRR (2021)