Xihong Yang

According to our database, Xihong Yang authored at least 33 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Simple Contrastive Graph Clustering.

Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Siwei Wang, Ke Liang, Wenxuan Tu, Liang Li

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Task-Related Saliency for Few-Shot Image Classification.

Zhenyu Zhou, Lei Luo, Sihang Zhou, Wang Li, Xihong Yang, Xinwang Liu, En Zhu

IEEE Trans. Neural Networks Learn. Syst., August, 2024

A Fully Test-time Training Framework for Semi-supervised Node Classification on Out-of-Distribution Graphs.

Jiaxin Zhang, Yiqi Wang, Xihong Yang, En Zhu

ACM Trans. Knowl. Discov. Data, August, 2024

Mixed Graph Contrastive Network for Semi-supervised Node Classification.

Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu

ACM Trans. Knowl. Discov. Data, August, 2024

Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning.

Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure.

Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu

IEEE Trans. Knowl. Data Eng., January, 2024

Patch-Mixing Contrastive Regularization for Few-Label Semi-Supervised Learning.

Xiaochang Hu, Xin Xu, Yujun Zeng, Xihong Yang

IEEE Trans. Artif. Intell., January, 2024

Asymmetric double-winged multi-view clustering network for exploring diverse and consistent information.

Qun Zheng, Xihong Yang, Siwei Wang, Xinru An, Qi Liu

Neural Networks, 2024

DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System.

Xihong Yang, Heming Jing, Zixing Zhang, Jindong Wang, Huakang Niu, Shuaiqiang Wang, Yu Lu, Junfeng Wang, Dawei Yin, Xinwang Liu, En Zhu, Defu Lian, Erxue Min

CoRR, 2024

Dual Test-time Training for Out-of-distribution Recommender System.

Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian

CoRR, 2024

Test-Time Training on Graphs with Large Language Models (LLMs).

Jiaxin Zhang, Yiqi Wang, Xihong Yang, Siwei Wang, Yu Feng, Yu Shi, Ruichao Ren, En Zhu, Xinwang Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

GraphLearner: Graph Node Clustering with Fully Learnable Augmentation.

Xihong Yang, Erxue Min, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Huijun Wu, Xinwang Liu, En Zhu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering.

Fangdi Wang, Jiaqi Jin, Zhibin Dong, Xihong Yang, Yu Feng, Xinwang Liu, Xinzhong Zhu, Siwei Wang, Tianrui Liu, En Zhu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning.

Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering.

Suyuan Liu, Ke Liang, Zhibin Dong, Siwei Wang, Xihong Yang, Sihang Zhou, En Zhu, Xinwang Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering.

Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer.

Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training.

Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Xihong Yang, Stan Z. Li

CoRR, 2023

SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning.

Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu

CoRR, 2023

Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment.

Meng Liu, Ke Liang, Bin Xiao, Sihang Zhou, Wenxuan Tu, Yue Liu, Xihong Yang, Xinwang Liu

CoRR, 2023

CONVERT: Contrastive Graph Clustering with Reliable Augmentation.

Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DealMVC: Dual Contrastive Calibration for Multi-view Clustering.

Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Efficient Multi-View Graph Clustering with Local and Global Structure Preservation.

Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Reinforcement Graph Clustering with Unknown Cluster Number.

Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection.

Rundong He, Rongxue Li, Zhongyi Han, Xihong Yang, Yilong Yin

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Dink-Net: Neural Clustering on Large Graphs.

Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li

Proceedings of the International Conference on Machine Learning, 2023

Cluster-Guided Contrastive Graph Clustering Network.

Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Hard Sample Aware Network for Contrastive Deep Graph Clustering.

Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Contrastive Deep Graph Clustering with Learnable Augmentation.

Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu

CoRR, 2022

A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application.

Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang, Wenxuan Tu, Stan Z. Li, Xinwang Liu

CoRR, 2022

Mixed Graph Contrastive Network for Semi-Supervised Node Classification.

Xihong Yang, Yue Liu, Sihang Zhou, Xinwang Liu, En Zhu

CoRR, 2022

Improved Dual Correlation Reduction Network.

Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu, Xihong Yang

CoRR, 2022

Deep Graph Clustering via Dual Correlation Reduction.

Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022