GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization - Hao Yu; Ke Liang; Dayu Hu; Wenxuan Tu; Chuan Ma; Sihang Zhou; Xinwang Liu (IEEE Trans. Knowl. Data Eng., 2025)

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; Jinyan Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

scEGG: an exogenous gene-guided clustering method for single-cell transcriptomic data - Dayu Hu; Renxiang Guan; Ke Liang; Hao Yu; Hao Quan; Yawei Zhao; Xinwang Liu; Kunlun He (Briefings Bioinform., 2024)

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

High-order Topology for Deep Single-Cell Multiview Fuzzy Clustering - Dayu Hu; Zhibin Dong; Ke Liang; Hao Yu; Siwei Wang; Xinwang Liu (IEEE Trans. Fuzzy Syst., 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., 2024)

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

Unpaired Multi-View Graph Clustering With Cross-View Structure Matching - Yi Wen; Siwei Wang; Qing Liao; Weixuan Liang; Ke Liang; Xinhang Wan; Xinwang Liu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations - Ke Liang; Sihang Zhou; Meng Liu; Yue Liu; Wenxuan Tu; Yi Zhang; Liming Fang; Zhe Liu; Xinwang Liu (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs - Ke Liang; Lingyuan Meng; Sihang Zhou; Wenxuan Tu; Siwei Wang; Yue Liu; Meng Liu; Long Zhao; Xiangjun Dong; Xinwang Liu (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 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 (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

Deep Temporal Graph Clustering - Meng Liu; Yue Liu; Ke Liang; Wenxuan Tu; Siwei Wang; Sihang Zhou; Xinwang Liu (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Don't Turn a Blind Eye to Localization Noise: Localization Pseudo-label Correction and Learning for Semi-Supervised Object Detection - Yulin He; Wei Chen; Zhengfa Liang; Ke Liang; Yusong Tan; Tianrui Liu; Yulan Guo (IEEE International Conference on Multimedia and Expo, ICME 2024, Niagara Falls, ON, Canada, July 15-19, 2024, 2024)

Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning - Ke Liang; Lingyuan Meng; Yue Liu; Meng Liu; Wei Wei; Suyuan Liu; Wenxuan Tu; Siwei Wang; Sihang Zhou; Xinwang Liu (Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 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 - 1 November 2024, 2024)

Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding - Ke Liang; Yue Liu; Hao Li; Lingyuan Meng; Suyuan Liu; Siwei Wang; Sihang Zhou; Xinwang Liu (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering - Suyuan Liu; Siwei Wang; Ke Liang; Junpu Zhang; Zhibin Dong; Tianrui Liu; En Zhu; Xinwang Liu; Kunlun He (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

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

Object Style Diffusion for Generalized Object Detection in Urban Scene - Hao Li; Xiangyuan Yang; Mengzhu Wang; Long Lan; Ke Liang; Xinwang Liu; Kenli Li (CoRR, 2024)

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

ABSLearn: a GNN-based framework for aliasing and buffer-size information retrieval - Ke Liang; Jim Tan; Dongrui Zeng; Yongzhe Huang; Xiaolei Huang; Gang Tan (Pattern Anal. Appl., 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 (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

Dink-Net: Neural Clustering on Large Graphs - Yue Liu; Ke Liang; Jun Xia; Sihang Zhou; Xihong Yang; Xinwang Liu; Stan Z. Li (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 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, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023, 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, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023, 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, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023, 2023)

Scalable Incomplete Multi-View Clustering with Structure Alignment - Yi Wen; Siwei Wang; Ke Liang; Weixuan Liang; Xinhang Wan; Xinwang Liu; Suyuan Liu; Jiyuan Liu; En Zhu (Proceedings of the 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023, 2023)

TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification - Meng Liu; Ke Liang; Dayu Hu; Hao Yu; Yue Liu; Lingyuan Meng; Wenxuan Tu; Sihang Zhou; Xinwang Liu (Proceedings of the 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023, 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, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023, 2023)

Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning - Ke Liang; Lingyuan Meng; Meng Liu; Yue Liu; Wenxuan Tu; Siwei Wang; Sihang Zhou; Xinwang Liu (Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023, 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)

Pseudo-label Correction and Learning For Semi-Supervised Object Detection - Yulin He; Wei Chen; Ke Liang; Yusong Tan; Zhengfa Liang; Yulan Guo (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)

Deep Temporal Graph Clustering - Meng Liu; Yue Liu; Ke Liang; Siwei Wang; Sihang Zhou; Xinwang Liu (CoRR, 2023)

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

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

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

Unpaired Multi-View Graph Clustering with Cross-View Structure Matching - Yi Wen; Siwei Wang; Qing Liao; Weixuan Liang; Ke Liang; Xinhang Wan; Xinwang Liu (CoRR, 2023)

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

Scalable Incomplete Multi-View Clustering with Structure Alignment - Yi Wen; Siwei Wang; Ke Liang; Weixuan Liang; Xinhang Wan; Xinwang Liu; Suyuan Liu; Jiyuan Liu; En Zhu (CoRR, 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 (CoRR, 2023)

TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification - Meng Liu; Ke Liang; Dayu Hu; Hao Yu; Yue Liu; Lingyuan Meng; Wenxuan Tu; Sihang Zhou; Xinwang Liu (CoRR, 2023)

Single-cell Multi-view Clustering via Community Detection with Unknown Number of Clusters - Dayu Hu; Zhibin Dong; Ke Liang; Jun Wang; Siwei Wang; Xinwang Liu (CoRR, 2023)

Single-Cell Clustering via Dual-Graph Alignment - Dayu Hu; Ke Liang; Xinwang Liu (CoRR, 2023)

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

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

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 (CoRR, 2022)

Machine Learning Applications in the Routing in Computer Networks - Ke Liang; Mitchel Myers (CoRR, 2021)