Spectral clustering-based local and global structure preservation for feature selection. - Sihang Zhou 001; Xinwang Liu 002; Chengzhang Zhu; Qiang Liu 004; Jianping Yin (IJCNN, 2014)

A binary feature selection framework in kernel spaces. - Chengzhang Zhu; Xinwang Liu 002; Sihang Zhou 001; Qiang Liu 004; Jianping Yin (IJCNN, 2014)

MI-ELM: Highly efficient multi-instance learning based on hierarchical extreme learning machine. - Qiang Liu 004; Sihang Zhou 001; Chengzhang Zhu; Xinwang Liu 002; Jianping Yin (Neurocomputing, 2016)

Random Fourier extreme learning machine with ℓ2, 1-norm regularization. - Sihang Zhou 001; Xinwang Liu 002; Qiang Liu 004; Siqi Wang 001; Chengzhang Zhu; Jianping Yin (Neurocomputing, 2016)

一种基于交点权重图的指纹焦点检测方法 (Fingerprint Focal Point Detection Method Based on Map of Cross Points' Weights). - Xifeng Guo 001; En Zhu; Sihang Zhou 001; Xiaolong Shen; Jianping Yin (计算机科学, 2016)

Optimal Neighborhood Kernel Clustering with Multiple Kernels. - Xinwang Liu 002; Sihang Zhou 001; Yueqing Wang; Miaomiao Li 001; Yong Dou; En Zhu; Jianping Yin (AAAI, 2017)

A highly efficient human activity classification method using mobile data from wearable sensors. - Lihuan Yuan; Qiang Liu 004; Mengchi Lu; Sihang Zhou 001; Chengzhang Zhu; Jianping Yin (Int. J. Sens. Networks, 2017)

Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. - Sihang Zhou 001; Dong Nie; Ehsan Adeli 001; Yaozong Gao; Li Wang 026; Jianping Yin; Dinggang Shen (MICCAI (4), 2018)

Financial time series prediction using ℓ2, 1RF-ELM. - Jingming Xue; Sihang Zhou 001; Qiang Liu 004; Xinwang Liu 002; Jianping Yin (Neurocomputing, 2018)

Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation. - Dong Nie; Li Wang 026; Lei Xiang; Sihang Zhou 001; Ehsan Adeli 001; Dinggang Shen (AAAI, 2019)

Hierarchical Representation For Ct Prostate Segmentation. - Shuai Wang 002; Kelei He; Dong Nie; Sihang Zhou 001; Yaozong Gao; Dinggang Shen (ISBI, 2019)

CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation. - Shuai Wang 002; Kelei He; Dong Nie; Sihang Zhou 001; Yaozong Gao; Dinggang Shen (Medical Image Anal., 2019)

Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix. - Sihang Zhou 001; Xinwang Liu 002; Jiyuan Liu 003; Xifeng Guo 001; Yawei Zhao; En Zhu; Yongping Zhai; Jianping Yin; Wen Gao 001 (AAAI, 2020)

Image Representation Learning by Transformation Regression. - Xifeng Guo 001; Jiyuan Liu 003; Sihang Zhou 001; En Zhu; Shihao Dong (ICPR, 2020)

Anchor-Based Multiview Subspace Clustering With Diversity Regularization. - Qiyuan Ou; Siwei Wang 001; Sihang Zhou 001; Miaomiao Li 001; Xifeng Guo 001; En Zhu (IEEE Multim., 2020)

Subspace segmentation-based robust multiple kernel clustering. - Sihang Zhou 001; En Zhu; Xinwang Liu 002; Tianming Zheng; Qiang Liu 004; Jingyuan Xia; Jianping Yin (Inf. Fusion, 2020)

High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation. - Sihang Zhou 001; Dong Nie; Ehsan Adeli 001; Jianping Yin; Jun Lian; Dinggang Shen (IEEE Trans. Image Process., 2020)

A Multi-Organ Nucleus Segmentation Challenge. - Neeraj Kumar 002; Ruchika Verma; Deepak Anand; Yanning Zhou 001; Omer Fahri Onder; Efstratios Tsougenis; Hao Chen 011; Pheng-Ann Heng; Jiahui Li 005; Zhiqiang Hu; Yunzhi Wang; Navid Alemi Koohbanani; et al. (IEEE Trans. Medical Imaging, 2020)

Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation. - Sihang Zhou 001; Xinwang Liu 002; Miaomiao Li 001; En Zhu; Li Liu 002; Changwang Zhang; Jianping Yin (IEEE Trans. Neural Networks Learn. Syst., 2020)

Hierarchical Multiple Kernel Clustering. - Jiyuan Liu 003; Xinwang Liu 002; Siwei Wang 001; Sihang Zhou 001; Yuexiang Yang (AAAI, 2021)

Deep Fusion Clustering Network. - Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002; Xifeng Guo 001; Zhiping Cai; En Zhu; Jieren Cheng (AAAI, 2021)

Localized Simple Multiple Kernel K-means. - Xinwang Liu 002; Sihang Zhou 001; Li Liu 002; Chang Tang; Siwei Wang 001; Jiyuan Liu 003; Yi Zhang 104 (ICCV, 2021)

Self-Representation Subspace Clustering for Incomplete Multi-view Data. - Jiyuan Liu 003; Xinwang Liu 002; Yi Zhang 104; Pei Zhang 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Weixuan Liang; Siqi Wang 001; Yuexiang Yang (ACM Multimedia, 2021)

Scalable Multi-view Subspace Clustering with Unified Anchors. - Mengjing Sun; Pei Zhang 008; Siwei Wang 001; Sihang Zhou 001; Wenxuan Tu; Xinwang Liu 002; En Zhu; Changjian Wang (ACM Multimedia, 2021)

Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. - Chen Zhang; Siwei Wang 001; Jiyuan Liu 003; Sihang Zhou 001; Pei Zhang 008; Xinwang Liu 002; En Zhu; Changwang Zhang (ACM Multimedia, 2021)

Deep Distribution-preserving Incomplete Clustering with Optimal Transport. - Mingjie Luo; Siwei Wang 001; Xinwang Liu 002; Wenxuan Tu; Yi Zhang 104; Xifeng Guo 001; Sihang Zhou 001; En Zhu (CoRR, 2021)

Multi-view Deep One-class Classification: A Systematic Exploration. - Siqi Wang 001; Jiyuan Liu 003; Guang Yu; Xinwang Liu 002; Sihang Zhou 001; En Zhu; Yuexiang Yang; Jianping Yin (CoRR, 2021)

Siamese Attribute-missing Graph Auto-encoder. - Wenxuan Tu; Sihang Zhou 001; Yue Liu 008; Xinwang Liu 002 (CoRR, 2021)

Robust semi-supervised classification based on data augmented online ELMs with deep features. - Xiaochang Hu; Yujun Zeng; Xin Xu 001; Sihang Zhou 001; Li Liu 002 (Knowl. Based Syst., 2021)

Robust Graph-Based Multi-View Clustering. - Weixuan Liang; Xinwang Liu 002; Sihang Zhou 001; Jiyuan Liu 003; Siwei Wang 001; En Zhu (AAAI, 2022)

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)

Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph. - Siwei Wang 001; Xinwang Liu 002; Li Liu 002; Wenxuan Tu; Xinzhong Zhu; Jiyuan Liu 003; Sihang Zhou 001; En Zhu (CVPR, 2022)

Attributed Graph Clustering with Dual Redundancy Reduction. - Lei Gong; Sihang Zhou 001; Wenxuan Tu; Xinwang Liu 002 (IJCAI, 2022)

Initializing Then Refining: A Simple Graph Attribute Imputation Network. - Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002; Yue Liu 008; Zhiping Cai; En Zhu; Changwang Zhang; Jieren Cheng (IJCAI, 2022)

Efficient Anchor Learning-based Multi-view Clustering - A Late Fusion Method. - Tiejian Zhang; Xinwang Liu 002; En Zhu; Sihang Zhou 001; Zhibin Dong (ACM Multimedia, 2022)

Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel. - Weixuan Liang; Xinwang Liu 002; Yong Liu 018; Sihang Zhou 001; Jun-Jie Huang 001; Siwei Wang 001; Jiyuan Liu 003; Yi Zhang 104; En Zhu (NeurIPS, 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)

Relational Symmetry based Knowledge Graph Contrastive Learning. - Ke Liang 006; Yue Liu 008; Sihang Zhou 001; Xinwang Liu 002; Wenxuan Tu (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)

Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal. - Ke Liang 006; Lingyuan Meng; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002; Fuchun Sun 001 (CoRR, 2022)

Semantic instance segmentation with discriminative deep supervision for medical images. - Sihang Zhou 001; Dong Nie; Ehsan Adeli 001; Qian Wei; Xuhua Ren; Xinwang Liu 002; En Zhu; Jianping Yin; Qian Wang 001; Dinggang Shen (Medical Image Anal., 2022)

Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix. - Weixuan Liang; Sihang Zhou 001; Jian Xiong 002; Xinwang Liu 002; Siwei Wang 001; En Zhu; Zhiping Cai; Xin Xu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels. - Jiyuan Liu 003; Xinwang Liu 002; Jian Xiong 002; Qing Liao 001; Sihang Zhou 001; Siwei Wang 001; Yuexiang Yang (IEEE Trans. Knowl. Data Eng., 2022)

Consensus One-Step Multi-View Subspace Clustering. - Pei Zhang 008; Xinwang Liu 002; Jian Xiong 002; Sihang Zhou 001; Wentao Zhao; En Zhu; Zhiping Cai (IEEE Trans. Knowl. Data Eng., 2022)

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (IEEE Trans. Medical Imaging, 2022)

Projective Multiple Kernel Subspace Clustering. - Mengjing Sun; Siwei Wang 001; Pei Zhang 008; Xinwang Liu 002; Xifeng Guo 001; Sihang Zhou 001; En Zhu (IEEE Trans. Multim., 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)

Iterative Encode-and-Decode Graph Neural Network. - Linxuan Song; Siwei Wang 001; Sihang Zhou 001; En Zhu (ADMA (4), 2023)

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (Bildverarbeitung für die Medizin, 2023)

Consensus One-step Multi-view Subspace Clustering (Extended abstract). - Pei Zhang 008; Xinwang Liu 002; Jian Xiong 002; Sihang Zhou 001; Wentao Zhao; En Zhu; Zhiping Cai (ICDE, 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)

TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. - Meng Liu 014; Ke Liang 006; Dayu Hu; Hao Yu; Yue Liu 008; Lingyuan Meng; Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002 (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)

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)

Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. - Ke Liang 006; Lingyuan Meng; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (SIGIR, 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)

Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network. - Wenxuan Tu; Bin Xiao 001; Xinwang Liu 002; Sihang Zhou 001; Zhiping Cai; Jieren Cheng (CoRR, 2023)

GANN: Graph Alignment Neural Network for Semi-Supervised Learning. - Linxuan Song; Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002; En Zhu (CoRR, 2023)

RARE: Robust Masked Graph Autoencoder. - Wenxuan Tu; Qing Liao 001; Sihang Zhou 001; Xin Peng; Chuan Ma 001; Zhe Liu 001; Xinwang Liu 002; Zhiping Cai (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)

Deep Temporal Graph Clustering. - Meng Liu 014; Yue Liu 008; Ke Liang 006; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (CoRR, 2023)

Message Intercommunication for Inductive Relation Reasoning. - Ke Liang 006; Lingyuan Meng; Sihang Zhou 001; Siwei Wang 001; Wenxuan Tu; Yue Liu 008; Meng Liu 014; Xinwang Liu 002 (CoRR, 2023)

arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering. - Meng Liu 014; Ke Liang 006; Yue Liu 008; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (CoRR, 2023)

Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning. - Ke Liang 006; Sihang Zhou 001; Yue Liu 008; Lingyuan Meng; Meng Liu 014; Xinwang Liu 002 (CoRR, 2023)

Multiple Kernel Clustering With Compressed Subspace Alignment. - Sihang Zhou 001; Qiyuan Ou; Xinwang Liu 002; Siqi Wang 001; Luyan Liu; Siwei Wang 001; En Zhu; Jianping Yin; Xin Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

E$^{3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection. - Siqi Wang 001; Yijie Zeng; Guang Yu; Zhen Cheng 004; Xinwang Liu 002; Sihang Zhou 001; En Zhu; Marius Kloft; Jianping Yin; Qing Liao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

scDFC: A deep fusion clustering method for single-cell RNA-seq data. - Dayu Hu; Ke Liang 006; Sihang Zhou 001; Wenxuan Tu; Meng Liu 014; Xinwang Liu 002 (Briefings Bioinform., 2023)

Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement. - Siwei Wang 001; Xinwang Liu 002; Li Liu 002; Sihang Zhou 001; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations. - Ke Liang 006; Sihang Zhou 001; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Yi Zhang 104; Liming Fang 001; Zhe Liu 001; Xinwang Liu 002 (AAAI, 2024)

MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. - Ke Liang 006; Lingyuan Meng; Sihang Zhou 001; Wenxuan Tu; Siwei Wang 001; Yue Liu 008; Meng Liu 014; Long Zhao 002; Xiangjun Dong 001; Xinwang Liu 002 (AAAI, 2024)

Attribute-Missing Graph Clustering Network. - Wenxuan Tu; Renxiang Guan; Sihang Zhou 001; Chuan Ma 001; Xin Peng; Zhiping Cai; Zhe Liu 001; Jieren Cheng; 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)

One-Step Late Fusion Multi-View Clustering with Compressed Subspace. - Qiyuan Ou; Pei Zhang 008; Sihang Zhou 001; En Zhu (ICASSP, 2024)

Deep Temporal Graph Clustering. - Meng Liu 014; Yue Liu 008; Ke Liang 006; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (ICLR, 2024)

Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning. - Ke Liang 006; Lingyuan Meng; Yue Liu 008; Meng Liu 014; Wei Wei; Suyuan Liu; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (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)

Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding. - Ke Liang 006; Yue Liu 008; Hao Li 025; Lingyuan Meng; Suyuan Liu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (NeurIPS, 2024)

Post-Semantic-Thinking: A Robust Strategy to Distill Reasoning Capacity from Large Language Models. - Xiaoshu Chen; Sihang Zhou 001; Ke Liang 006; Xinwang Liu 002 (CoRR, 2024)

Anchor-based multi-view subspace clustering with hierarchical feature descent. - Qiyuan Ou; Siwei Wang 001; Pei Zhang 008; Sihang Zhou 001; En Zhu (Inf. Fusion, 2024)

GANN: Graph Alignment Neural Network for semi-supervised learning. - Linxuan Song; Wenxuan Tu; Sihang Zhou 001; En Zhu (Pattern Recognit., 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)

Multiview Deep Anomaly Detection: A Systematic Exploration. - Siqi Wang 001; Jiyuan Liu 003; Guang Yu; Xinwang Liu 002; Sihang Zhou 001; En Zhu; Yuexiang Yang; Jianping Yin; Wenjing Yang 002 (IEEE Trans. Neural Networks Learn. Syst., 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)

Deep Fusion Clustering Network With Reliable Structure Preservation. - Lei Gong; Wenxuan Tu; Sihang Zhou 001; Long Zhao 002; Zhe Liu 001; Xinwang Liu 002 (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)

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)

RARE: Robust Masked Graph Autoencoder. - Wenxuan Tu; Qing Liao 001; Sihang Zhou 001; Xin Peng; Chuan Ma 001; Zhe Liu 001; Xinwang Liu 002; Zhiping Cai; Kunlun He (IEEE Trans. Knowl. Data Eng., 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)

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal. - Ke Liang 006; Lingyuan Meng; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002; Fuchun Sun 001; Kunlun He (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning. - Lingyuan Meng; Ke Liang 006; Hao Yu; Yue Liu 008; Sihang Zhou 001; Meng Liu 014; Xinwang Liu 002 (IEEE Trans. Knowl. Data Eng., 2024)

Knowledge Graph Completion with Relation-Aware Anchor Enhancement. - Duanyang Yuan; Sihang Zhou 001; Xiaoshu Chen; Dong Wang 004; Ke Liang 006; Xinwang Liu 002; Jian Huang (AAAI, 2025)

Complex knowledge base question answering with difficulty-aware active data augmentation. - Dong Wang 004; Sihang Zhou 001; Cong Zhou; Ke Liang 006; Chuanli Wang; Huang Jian (Expert Syst. Appl., 2025)

Eyes on Islanded Nodes: Better Reasoning via Structure Augmentation and Feature Co-Training on Bi-Level Knowledge Graphs. - Hao Li; Ke Liang 006; Wenjing Yang 002; Lingyuan Meng; Yaohua Wang; Sihang Zhou 001; Xinwang Liu 002 (IEEE Trans. Image Process., 2025)

MGKsite: Multi-Modal Knowledge-Driven Site Selection via Intra and Inter-Modal Graph Fusion. - Ke Liang 006; Lingyuan Meng; Hao Li 025; Meng Liu 014; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002; Kunlun He (IEEE Trans. Multim., 2025)

GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization. - Hao Yu; Ke Liang 006; Dayu Hu; Wenxuan Tu; Chuan Ma 001; Sihang Zhou 001; Xinwang Liu 002 (IEEE Trans. Knowl. Data Eng., 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)

Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network. - Wenxuan Tu; Bin Xiao 002; Xinwang Liu 002; Sihang Zhou 001; Zhiping Cai; Jieren Cheng (IEEE Trans. Neural Networks Learn. Syst., 2025)

Self-Supervised Temporal Graph Learning With Temporal and Structural Intensity Alignment. - Meng Liu 014; Ke Liang 006; Yawei Zhao; Wenxuan Tu; Sihang Zhou 001; Xinbiao Gan; Xinwang Liu 002; Kunlun He (IEEE Trans. Neural Networks Learn. Syst., 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)

Soft Reasoning Paths for Knowledge Graph Completion. - Yanning Hou; Sihang Zhou 001; Ke Liang 006; Lingyuan Meng; Xiaoshu Chen; Ke Xu; Siwei Wang 001; Xinwang Liu 002; Jian Huang (CoRR, 2025)

WAGE: Weight-Sharing Attribute-Missing Graph Autoencoder. - Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002; Zhiping Cai; Yawei Zhao; Yue Liu 008; Kunlun He (IEEE Trans. Pattern Anal. Mach. Intell., 2025)