Deep Graph Clustering via Dual Correlation Reduction. - Yue Liu 008; Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002; Linxuan Song; Xihong Yang; En Zhu (AAAI, 2022)

Improved Dual Correlation Reduction Network. - Yue Liu 008; Sihang Zhou 001; Xinwang Liu 002; Wenxuan Tu; Xihong Yang (CoRR, 2022)

Mixed Graph Contrastive Network for Semi-Supervised Node Classification. - Xihong Yang; Yue Liu 008; Sihang Zhou 001; Xinwang Liu 002; En Zhu (CoRR, 2022)

A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application. - Yue Liu 008; Jun Xia 001; Sihang Zhou 001; Siwei Wang 001; Xifeng Guo 001; Xihong Yang; Ke Liang 006; Wenxuan Tu; Stan Z. Li; Xinwang Liu 002 (CoRR, 2022)

Contrastive Deep Graph Clustering with Learnable Augmentation. - Xihong Yang; Yue Liu 008; Sihang Zhou 001; Siwei Wang 001; Xinwang Liu 002; En Zhu (CoRR, 2022)

Hard Sample Aware Network for Contrastive Deep Graph Clustering. - Yue Liu 008; Xihong Yang; Sihang Zhou 001; Xinwang Liu 002; Zhen Wang; Ke Liang 006; Wenxuan Tu; Liang Li; Jingcan Duan; Cancan Chen (AAAI, 2023)

Cluster-Guided Contrastive Graph Clustering Network. - Xihong Yang; Yue Liu 008; Sihang Zhou 001; Siwei Wang 001; Wenxuan Tu; Qun Zheng; Xinwang Liu 002; Liming Fang 001; En Zhu (AAAI, 2023)

Dink-Net: Neural Clustering on Large Graphs. - Yue Liu 008; Ke Liang 006; Jun Xia 001; Sihang Zhou 001; Xihong Yang; Xinwang Liu 002; Stan Z. Li (ICML, 2023)

Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection. - Rundong He; Rongxue Li; Zhongyi Han; Xihong Yang; Yilong Yin (ACM Multimedia, 2023)

Reinforcement Graph Clustering with Unknown Cluster Number. - Yue Liu 008; Ke Liang 006; Jun Xia 001; Xihong Yang; Sihang Zhou 001; Meng Liu 014; Xinwang Liu 002; Stan Z. Li (ACM Multimedia, 2023)

Efficient Multi-View Graph Clustering with Local and Global Structure Preservation. - Yi Wen 001; Suyuan Liu; Xinhang Wan; Siwei Wang 001; Ke Liang 006; Xinwang Liu 002; Xihong Yang; Pei Zhang 008 (ACM Multimedia, 2023)

DealMVC: Dual Contrastive Calibration for Multi-view Clustering. - Xihong Yang; Jiaqi Jin; Siwei Wang 001; Ke Liang 006; Yue Liu 008; Yi Wen 001; Suyuan Liu; Sihang Zhou 001; Xinwang Liu 002; En Zhu (ACM Multimedia, 2023)

CONVERT: Contrastive Graph Clustering with Reliable Augmentation. - Xihong Yang; Cheng Tan 012; Yue Liu 008; Ke Liang 006; Siwei Wang 001; Sihang Zhou 001; Jun Xia 001; Stan Z. Li; Xinwang Liu 002; En Zhu (ACM Multimedia, 2023)

Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment. - Meng Liu 014; Ke Liang 006; Bin Xiao 001; Sihang Zhou 001; Wenxuan Tu; Yue Liu 008; Xihong Yang; Xinwang Liu 002 (CoRR, 2023)

SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning. - Lingyuan Meng; Ke Liang 006; Bin Xiao 001; Sihang Zhou 001; Yue Liu 008; Meng Liu 014; Xihong Yang; Xinwang Liu 002 (CoRR, 2023)

Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training. - Cheng Tan 012; Jingxuan Wei; Zhangyang Gao; Linzhuang Sun; Siyuan Li 002; Xihong Yang; Stan Z. Li (CoRR, 2023)

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. - Cheng Tan 012; Zhangyang Gao; Lirong Wu; Jun Xia 001; Jiangbin Zheng 002; Xihong Yang; Yue Liu 008; Bozhen Hu; Stan Z. Li (AAAI, 2024)

Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering. - Suyuan Liu; Junpu Zhang; Yi Wen 001; Xihong Yang; Siwei Wang 001; Yi Zhang 104; En Zhu; Chang Tang; Long Zhao 002; Xinwang Liu 002 (AAAI, 2024)

Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering. - Suyuan Liu; Ke Liang 006; Zhibin Dong; Siwei Wang 001; Xihong Yang; Sihang Zhou 001; En Zhu; Xinwang Liu 002 (CVPR, 2024)

DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. - Jun Xia 001; Shaorong Chen; Yue Liu 008; Zhangyang Gao; Jiangbin Zheng 002; Xihong Yang; Stan Z. Li (ICDE, 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 002; Xinzhong Zhu; Siwei Wang 001; Tianrui Liu 001; En Zhu (ACM Multimedia, 2024)

GraphLearner: Graph Node Clustering with Fully Learnable Augmentation. - Xihong Yang; Erxue Min; Ke Liang 006; Yue Liu 008; Siwei Wang 001; Sihang Zhou 001; Huijun Wu 001; Xinwang Liu 002; En Zhu (ACM Multimedia, 2024)

Test-Time Training on Graphs with Large Language Models (LLMs). - Jiaxin Zhang 030; Yiqi Wang 001; Xihong Yang; Siwei Wang 001; Yu Feng; Yu Shi; Ruichao Ren; En Zhu; Xinwang Liu 002 (ACM Multimedia, 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 001; Xinwang Liu 002; En Zhu (NeurIPS, 2024)

Asymmetric double-winged multi-view clustering network for exploring diverse and consistent information. - Qun Zheng; Xihong Yang; Siwei Wang 001; Xinru An; Qi Liu 038 (Neural Networks, 2024)

Patch-Mixing Contrastive Regularization for Few-Label Semi-Supervised Learning. - Xiaochang Hu; Xin Xu 001; Yujun Zeng; Xihong Yang (IEEE Trans. Artif. Intell., 2024)

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. - Ke Liang 006; Yue Liu 008; Sihang Zhou 001; Wenxuan Tu; Yi Wen 001; Xihong Yang; Xiangjun Dong 001; Xinwang Liu 002 (IEEE Trans. Knowl. Data Eng., 2024)

Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning. - Xihong Yang; Xiaochang Hu; Sihang Zhou 001; Xinwang Liu 002; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Mixed Graph Contrastive Network for Semi-supervised Node Classification. - Xihong Yang; Yiqi Wang 001; Yue Liu 008; Yi Wen 001; Lingyuan Meng; Sihang Zhou 001; Xinwang Liu 002; En Zhu (ACM Trans. Knowl. Discov. Data, 2024)

A Fully Test-time Training Framework for Semi-supervised Node Classification on Out-of-Distribution Graphs. - Jiaxin Zhang 030; Yiqi Wang 001; Xihong Yang; En Zhu (ACM Trans. Knowl. Discov. Data, 2024)

Task-Related Saliency for Few-Shot Image Classification. - Zhenyu Zhou; Lei Luo 002; Sihang Zhou 001; Wang Li; Xihong Yang; Xinwang Liu 002; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Simple Contrastive Graph Clustering. - Yue Liu 008; Xihong Yang; Sihang Zhou 001; Xinwang Liu 002; Siwei Wang 001; Ke Liang 006; Wenxuan Tu; Liang Li (IEEE Trans. Neural Networks Learn. Syst., 2024)

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning. - Yuzhuo Dai; Jiaqi Jin; Zhibin Dong; Siwei Wang 001; Xinwang Liu 002; En Zhu; Xihong Yang; Xinbiao Gan; Yu Feng (CVPR, 2025)

DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. - Xihong Yang; Heming Jing; Zixing Zhang 006; Jindong Wang; Huakang Niu; Shuaiqiang Wang; Yu Lu; Junfeng Wang; Dawei Yin; Xinwang Liu 002; En Zhu; Defu Lian; et al. (ICDE, 2025)

Toward the Development of a Novel Flexible Sensor for Simultaneous Measurement of Acupoint Resistance and Temperature in Human Subjects. - Zheng Yu 006; Yusheng Tang; Linshuai Zhang; Ziqian Wang; Xuanhao Shu; Hang Li; Yafei Zhang; Xuerong Luo; Xihong Yang; Xianfeng Cao; Shuguang Yu; Chuanbiao Wen (IEEE Access, 2025)

Hgformer: Hyperbolic Graph Transformer for Recommendation. - Xin Yang; Xingrun Li; Heng Chang; Jinze Yang; Xihong Yang; Shengyu Tao; Ningkang Chang; Maiko Shigeno; Junfeng Wang; Dawei Yin; Erxue Min (CoRR, 2025)

SARF: Aliasing Relation-Assisted Self-Supervised Learning for Few-Shot Relation Reasoning. - Lingyuan Meng; Ke Liang 006; Bin Xiao 002; Sihang Zhou 001; Yue Liu 008; Meng Liu 014; Xihong Yang; Xinwang Liu 002; Jinyan Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance. - Jiaqi Jin; Siwei Wang 001; Zhibin Dong; Xihong Yang; Xinwang Liu 002; En Zhu; Kunlun He (CoRR, 2025)

From Prompting to Alignment: A Generative Framework for Query Recommendation. - Erxue Min; Hsiu-Yuan Huang; Min Yang; Xihong Yang; Xin Jia; Yunfang Wu; Hengyi Cai; Shuaiqiang Wang; Dawei Yin (CoRR, 2025)

Improved Dual Correlation Reduction Network With Affinity Recovery. - Yue Liu 008; Sihang Zhou 001; Xihong Yang; Xinwang Liu 002; Wenxuan Tu; Liang Li; Xin Xu 001; Fuchun Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios. - Xihong Yang; Siwei Wang 001; Fangdi Wang; Jiaqi Jin; Suyuan Liu; Yue Liu 008; En Zhu; Xinwang Liu 002; Yueming Jin (CoRR, 2025)

Dual Test-Time Training for Out-of-Distribution Recommender System. - Xihong Yang; Yiqi Wang 001; Jin Chen 008; Wenqi Fan; Xiangyu Zhao 001; En Zhu; Xinwang Liu 002; Defu Lian (IEEE Trans. Knowl. Data Eng., 2025)

CTR-Guided Generative Query Suggestion in Conversational Search. - Erxue Min; Hsiu-Yuan Huang; Xihong Yang; Min Yang; Xin Jia; Yunfang Wu; Hengyi Cai; Junfeng Wang; Shuaiqiang Wang; Dawei Yin (CoRR, 2025)