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Xihong Yang
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2020 – today
- 2024
- [j7]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: 106563 (2024) - [j6]Xiaochang Hu
, Xin Xu
, Yujun Zeng
, Xihong Yang:
Patch-Mixing Contrastive Regularization for Few-Label Semi-Supervised Learning. IEEE Trans. Artif. Intell. 5(1): 384-397 (2024) - [j5]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): 162 (2024) - [j4]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): 172 (2024) - [j3]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): 226-238 (2024) - [j2]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): 2054-2065 (2024) - [j1]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): 10751-10763 (2024) - [c12]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: 14017-14025 - [c11]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: 15222-15230 - [c10]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: 2876-2888 - [i18]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 abs/2404.13571 (2024) - 2023
- [c9]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: 8914-8922 - [c8]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: 10834-10842 - [c7]Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li:
Dink-Net: Neural Clustering on Large Graphs. ICML 2023: 21794-21812 - [c6]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: 319-327 - [c5]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. ACM Multimedia 2023: 337-346 - [c4]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: 3021-3030 - [c3]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: 3528-3537 - [c2]Rundong He
, Rongxue Li
, Zhongyi Han
, Xihong Yang
, Yilong Yin
:
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection. ACM Multimedia 2023: 4858-4866 - [i17]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 abs/2301.01098 (2023) - [i16]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 abs/2302.07491 (2023) - [i15]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 abs/2304.10297 (2023) - [i14]Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li:
Dink-Net: Neural Clustering on Large Graphs. CoRR abs/2305.18405 (2023) - [i13]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 abs/2308.06827 (2023) - [i12]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 abs/2308.08963 (2023) - [i11]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 abs/2308.09000 (2023) - [i10]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 abs/2309.00024 (2023) - [i9]Qun Zheng
, Xihong Yang, Siwei Wang, Xinru An, Qi Liu:
Asymmetric double-winged multi-view clustering network for exploring Diverse and Consistent Information. CoRR abs/2309.00474 (2023) - [i8]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 abs/2311.14109 (2023) - 2022
- [c1]Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu:
Deep Graph Clustering via Dual Correlation Reduction. AAAI 2022: 7603-7611 - [i7]Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu:
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning. CoRR abs/2202.11915 (2022) - [i6]Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu, Xihong Yang:
Improved Dual Correlation Reduction Network. CoRR abs/2202.12533 (2022) - [i5]Xihong Yang, Yue Liu, Sihang Zhou, Xinwang Liu, En Zhu:
Mixed Graph Contrastive Network for Semi-Supervised Node Classification. CoRR abs/2206.02796 (2022) - [i4]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 abs/2211.12875 (2022) - [i3]Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu:
Contrastive Deep Graph Clustering with Learnable Augmentation. CoRR abs/2212.03559 (2022) - [i2]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 abs/2212.08665 (2022) - 2021
- [i1]Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu:
Deep Graph Clustering via Dual Correlation Reduction. CoRR abs/2112.14772 (2021)
Coauthor Index
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last updated on 2024-08-15 23:47 CEST by the dblp team
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