Ke Liang - RankMe

105 papers A* 37A 1Journal 65Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A General Anchor-Based Framework for Scalable Fair Clustering. AAAI Shengfei Wei, Suyuan Liu, Jun Wang, Ke Liang, Miaomiao Li, Lei Luo
2026	J	`jnl`	Clustering Diffusion Model With Frequency-Signal Modulation for Variational Graph Autoencoders. IEEE Trans. Pattern Anal. Mach. Intell. Junwei Cheng, Ke Liang, Pengxing Feng, Weixiong Liu, Yong Tang, Chaobo He
2026	A*	`conf`	DAWN: Distributed LLM Multi-Agent Workflow Synthesis. AAAI Guancheng Wan, Mo Zhou, Ziyi Wang, Xiaoran Shang, Eric Hanchen Jiang, Guibin Zhang, Jinhe Bi, Yunpu Ma, Zaixi Zhang, Ke Liang, Wenke Huang
2026	A*	`conf`	DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering. AAAI Baili Xiao, Ke Liang, Jiaqi Jin, Jun Wang, Yinbo Xu, Siwei Wang, En Zhu
2026	J	`jnl`	Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasets. CoRR Meng Liu, Ke Liang, Siwei Wang, Xingchen Hu, Sihang Zhou, Xinwang Liu
2026	A*	`conf`	Hierarchical Cross-View Alignment for Multi-View Clustering via Decoupled Information Distillation. AAAI Taichun Zhou, Siwei Wang, Zhibin Dong, Jiaqi Jin, Ke Liang, Baili Xiao, Miaomiao Li, Xinwang Liu, En Zhu
2026	J	`jnl`	ImgCoT: Compressing Long Chain of Thought into Compact Visual Tokens for Efficient Reasoning of Large Language Model. CoRR Xiaoshu Chen, Sihang Zhou, Ke Liang, Taichun Zhou, Xinwang Liu
2026	J	`jnl`	Let Synthetic Data Shine: Domain Reassembly and Soft-Fusion for Single Domain Generalization. Int. J. Comput. Vis. Hao Li, Yubin Xiao, Ke Liang, Mengzhu Wang, Long Lan, Kenli Li, Xinwang Liu
2026	A*	`conf`	Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning. AAAI Lingyuan Meng, Ke Liang, Hao Yu, Haotian Wang, Miaomiao Li, Xinwang Liu
2026	J	`jnl`	Multi-scale signal modulation for variational graph autoencoders. Artif. Intell. Junwei Cheng, Chaobo He, Pengxing Feng, Weixiong Liu, Ke Liang
2026	J	`jnl`	Object style diffusion for generalized object detection in urban scene. Pattern Recognit. Hao Li, Xiangyuan Yang, Mengzhu Wang, Long Lan, Ke Liang, Xinwang Liu, Kenli Li
2026	A*	`conf`	PurMM: Attention-Guided Test-Time Backdoor Purification in Multimodal Large Language Models. AAAI Wenzheng Jiang, Ke Liang, Xuankun Rong, Jingxuan Zhou, Zhengyi Zhong, Guancheng Wan, Ji Wang
2026	J	`jnl`	SKIP: A Prototype-Based Scalable Knowledge Graph Representation Learning Method. IEEE Trans. Neural Networks Learn. Syst. Yue Liu, Ke Liang, Jun Xia, Meng Liu, Xihong Yang, Xinwang Liu, Sihang Zhou, Stan Z. Li
2026	J	`jnl`	Single-Cell Multi-View Clustering via Community Detection With Unknown Number of Clusters. IEEE Trans. Comput. Biol. Bioinform. Dayu Hu, Renxiang Guan, Zhibin Dong, Ke Liang, Jun Wang, Siwei Wang, Xinwang Liu
2026	A*	`conf`	TVChain: Leveraging Textual-Visual Prompt Chains for Jailbreaking Large Vision-Language Models. AAAI Hao Yu, Ke Liang, Junxian Duan, Jun Wang, Siwei Wang, Chuan Ma, Xinwang Liu
2026	J	`jnl`	Two Decades of Multi-View Clustering: Taxonomy, Application, and Challenge. IEEE Trans. Pattern Anal. Mach. Intell. Xinwang Liu, Ke Liang, Jun Wang, Suyuan Liu, Xiangke Wang, Huaimin Wang
2026	A*	`conf`	Unveiling and Mitigating Untargeted Poisoning Attacks on Federated Knowledge Graph Embedding. WWW Wenzheng Jiang, Ke Liang, Wenke Huang, Xiongtao Zhang, Zhenxing Xu, Guancheng Wan, Cheston Tan, Flint Xiaofeng Fan, Ji Wang
2025	J	`jnl`	A General Anchor-Based Framework for Scalable Fair Clustering. CoRR Shengfei Wei, Suyuan Liu, Jun Wang, Ke Liang, Miaomiao Li, Lei Luo
2025	J	`jnl`	Address Anomalies at Critical Crossroads for Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. Junyi Yan, Enguang Zuo, Ke Liang, Meng Liu, Miaomiao Li, Xinwang Liu, Xiaoyi Lv, Kai Lu
2025	J	`jnl`	Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification. CoRR Xinpeng Lv, Yunxin Mao, Haoxuan Li, Ke Liang, Jinxuan Yang, Wanrong Huang, Haoang Chi, Huan Chen, Long Lan, Yuanlong Chen, Wenjing Yang, Haotian Wang
2025	A*	`conf`	COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering. ICML Weixuan Liang, Xinwang Liu, Ke Liang, Jiyuan Liu, En Zhu
2025	J	`jnl`	Complex knowledge base question answering with difficulty-aware active data augmentation. Expert Syst. Appl. Dong Wang, Sihang Zhou, Cong Zhou, Ke Liang, Chuanli Wang, Huang Jian
2025	J	`jnl`	Contrastive Continual Multiview Clustering With Filtered Structural Fusion. IEEE Trans. Neural Networks Learn. Syst. Xinhang Wan, Jiyuan Liu, Hao Yu, Qian Qu, Ao Li, Xinwang Liu, Ke Liang, Zhibin Dong, En Zhu
2025	A*	`conf`	DPFMVC: Dynamic Progressive Fusion for Multi-view Clustering. ACM Multimedia Taichun Zhou, Zhibin Dong, Siwei Wang, Ke Liang, Miaomiao Li, Xinwang Liu, En Zhu, Xiangjun Dong
2025	J	`jnl`	Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasets. IEEE Trans. Pattern Anal. Mach. Intell. Meng Liu, Ke Liang, Siwei Wang, Xingchen Hu, Sihang Zhou, Xinwang Liu
2025	J	`jnl`	Distilling Reasoning Ability From Large Language Models With Adaptive Thinking. IEEE Trans. Neural Networks Learn. Syst. Xiaoshu Chen, Sihang Zhou, Ke Liang, Xinwang Liu
2025	A*	`conf`	EASEMVC: Efficient Dual Selection Mechanism for Deep Multi-View Clustering. CVPR Baili Xiao, Zhibin Dong, Ke Liang, Suyuan Liu, Siwei Wang, Tianrui Liu, Xingchen Hu, En Zhu, Xinwang Liu
2025	A*	`conf`	Efficient Federated Incomplete Multi-View Clustering. ICML Suyuan Liu, Hao Yu, Hao Tan, Ke Liang, Siwei Wang, Shengju Yu, En Zhu, Xinwang Liu
2025	A*	`conf`	Enhanced then Progressive Fusion with View Graph for Multi-View Clustering. CVPR Zhibin Dong, Meng Liu, Siwei Wang, Ke Liang, Yi Zhang, Suyuan Liu, Jiaqi Jin, Xinwang Liu, En Zhu
2025	J	`jnl`	Eyes on Islanded Nodes: Better Reasoning via Structure Augmentation and Feature Co-Training on Bi-Level Knowledge Graphs. IEEE Trans. Image Process. Hao Li, Ke Liang, Wenjing Yang, Lingyuan Meng, Yaohua Wang, Sihang Zhou, Xinwang Liu
2025	A*	`conf`	FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing. IJCAI Lingyuan Meng, Ke Liang, Zeyu Zhu, Xinwang Liu, Wenpeng Lu
2025	J	`jnl`	From Concrete to Abstract: Multi-View Clustering on Relational Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. Ke Liang, Lingyuan Meng, Hao Li, Jun Wang, Long Lan, Miaomiao Li, Xinwang Liu, Huaimin Wang
2025	A*	`conf`	From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering. ICML Shengju Yu, Zhibin Dong, Siwei Wang, Suyuan Liu, Ke Liang, Xinwang Liu, Yue Liu, Yi Zhang
2025	J	`jnl`	GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization. IEEE Trans. Knowl. Data Eng. Hao Yu, Ke Liang, Dayu Hu, Wenxuan Tu, Chuan Ma, Sihang Zhou, Xinwang Liu
2025	J	`jnl`	Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model. CoRR Wenke Huang, Jian Liang, Xianda Guo, Yiyang Fang, Guancheng Wan, Xuankun Rong, Chi Wen, Zekun Shi, Qingyun Li, Didi Zhu, Yanbiao Ma, Ke Liang, Bin Yang, He Li, Jiawei Shao, Mang Ye, Bo Du
2025	A*	`conf`	Knowledge Graph Completion with Relation-Aware Anchor Enhancement. AAAI Duanyang Yuan, Sihang Zhou, Xiaoshu Chen, Dong Wang, Ke Liang, Xinwang Liu, Jian Huang
2025	J	`jnl`	Knowledge Graph Completion with Relation-Aware Anchor Enhancement. CoRR Duanyang Yuan, Sihang Zhou, Xiaoshu Chen, Dong Wang, Ke Liang, Xinwang Liu, Jian Huang
2025	A*	`conf`	Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels. CVPR Jiyuan Liu, Xinwang Liu, Chuankun Li, Xinhang Wan, Hao Tan, Yi Zhang, Weixuan Liang, Qian Qu, Yu Feng, Renxiang Guan, Ke Liang
2025	J	`jnl`	Let Synthetic Data Shine: Domain Reassembly and Soft-Fusion for Single Domain Generalization. CoRR Hao Li, Yubin Xiao, Ke Liang, Mengzhu Wang, Long Lan, Kenli Li, Xinwang Liu
2025	J	`jnl`	MAPO: Mixed Advantage Policy Optimization. CoRR Wenke Huang, Quan Zhang, Yiyang Fang, Jian Liang, Xuankun Rong, Huanjin Yao, Guancheng Wan, Ke Liang, Wenwen He, Mingjun Li, Leszek Rutkowski, Mang Ye, Bo Du, Dacheng Tao
2025	J	`jnl`	MGKsite: Multi-Modal Knowledge-Driven Site Selection via Intra and Inter-Modal Graph Fusion. IEEE Trans. Multim. Ke Liang, Lingyuan Meng, Hao Li, Meng Liu, Siwei Wang, Sihang Zhou, Xinwang Liu, Kunlun He
2025	—	`conf`	Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation. KDD (2) Yi Wen, Yue Liu, Derong Xu, Huishi Luo, Pengyue Jia, Yiqing Wu, Siwei Wang, Ke Liang, Maolin Wang, Yiqi Wang, Fuzhen Zhuang, Xiangyu Zhao
2025	J	`jnl`	Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation. CoRR Yi Wen, Yue Liu, Derong Xu, Huishi Luo, Pengyue Jia, Yiqing Wu, Siwei Wang, Ke Liang, Maolin Wang, Yiqi Wang, Fuzhen Zhuang, Xiangyu Zhao
2025	J	`jnl`	Multiview Temporal Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. Meng Liu, Ke Liang, Hao Yu, Lingyuan Meng, Siwei Wang, Sihang Zhou, Xinwang Liu
2025	A*	`conf`	On the Adversarial Robustness of Multi-Kernel Clustering. ICML Hao Yu, Weixuan Liang, Ke Liang, Suyuan Liu, Meng Liu, Xinwang Liu
2025	J	`jnl`	Prototype-Driven Multi-View Attribute-Missing Graph Clustering. IEEE Trans. Multim. Renxiang Guan, Wenxuan Tu, Dayu Hu, Weixuan Liang, Ke Liang, Yaowen Hu, Yue Liu, Xinwang Liu
2025	A*	`conf`	SALVG: Latent Variable Gene Augmented Graph Learning for Multi-View Clustering in Spatial Transcriptomics. ACM Multimedia Zeyu Zhu, Ke Liang, Lingyuan Meng, Xingchen Hu, Xinwang Liu, Wanwei Liu, Kunlun He
2025	J	`jnl`	SARF: Aliasing Relation-Assisted Self-Supervised Learning for Few-Shot Relation Reasoning. IEEE Trans. Neural Networks Learn. Syst. Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu, Jinyan Li
2025	J	`jnl`	Self-Supervised Temporal Graph Learning With Temporal and Structural Intensity Alignment. IEEE Trans. Neural Networks Learn. Syst. Meng Liu, Ke Liang, Yawei Zhao, Wenxuan Tu, Sihang Zhou, Xinbiao Gan, Xinwang Liu, Kunlun He
2025	A*	`conf`	Soft Reasoning Paths for Knowledge Graph Completion. IJCAI Yanning Hou, Sihang Zhou, Ke Liang, Lingyuan Meng, Xiaoshu Chen, Ke Xu, Siwei Wang, Xinwang Liu, Jian Huang
2025	J	`jnl`	Soft Reasoning Paths for Knowledge Graph Completion. CoRR Yanning Hou, Sihang Zhou, Ke Liang, Lingyuan Meng, Xiaoshu Chen, Ke Xu, Siwei Wang, Xinwang Liu, Jian Huang
2025	J	`jnl`	Thinking on Context: Inductive Relation Prediction Guided by the Reasoning Ability of Large Language Models. IEEE Trans. Knowl. Data Eng. Xiaoshu Chen, Sihang Zhou, Ke Liang, Jiafei Wu, Xinwang Liu, Dongsheng Li, Kai Lu
2025	—	`conf`	URS: A Unified Deep Region-Growing Framework for Sperm Structure Segmentation. PRCV (14) Zeyu Zhu, Ke Liang, Lu Qi, Guangming Liang, Xianghui Liang
2024	J	`jnl`	A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal. IEEE Trans. Pattern Anal. Mach. Intell. Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun, Kunlun He
2024	A*	`conf`	Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering. NeurIPS Suyuan Liu, Siwei Wang, Ke Liang, Junpu Zhang, Zhibin Dong, Tianrui Liu, En Zhu, Xinwang Liu, Kunlun He
2024	A*	`conf`	Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding. NeurIPS Ke Liang, Yue Liu, Hao Li, Lingyuan Meng, Suyuan Liu, Siwei Wang, Sihang Zhou, Xinwang Liu
2024	A*	`conf`	Deep Temporal Graph Clustering. ICLR Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu
2024	A	`conf`	Don't Turn a Blind Eye to Localization Noise: Localization Pseudo-label Correction and Learning for Semi-Supervised Object Detection. ICME Yulin He, Wei Chen, Zhengfa Liang, Ke Liang, Yusong Tan, Tianrui Liu, Yulan Guo
2024	J	`jnl`	Effective multi-modal clustering method via skip aggregation network for parallel scRNA-seq and scATAC-seq data. Briefings Bioinform. Dayu Hu, Ke Liang, Zhibin Dong, Jun Wang, Yawei Zhao, Kunlun He
2024	J	`jnl`	FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning. IEEE Trans. Knowl. Data Eng. Lingyuan Meng, Ke Liang, Hao Yu, Yue Liu, Sihang Zhou, Meng Liu, Xinwang Liu
2024	A*	`conf`	GraphLearner: Graph Node Clustering with Fully Learnable Augmentation. ACM Multimedia Xihong Yang, Erxue Min, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Huijun Wu, Xinwang Liu, En Zhu
2024	A*	`conf`	Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations. AAAI Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu
2024	J	`jnl`	High-order Topology for Deep Single-Cell Multiview Fuzzy Clustering. IEEE Trans. Fuzzy Syst. Dayu Hu, Zhibin Dong, Ke Liang, Hao Yu, Siwei Wang, Xinwang Liu
2024	J	`jnl`	Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. IEEE Trans. Knowl. Data Eng. Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu
2024	A*	`conf`	Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering. CVPR Suyuan Liu, Ke Liang, Zhibin Dong, Siwei Wang, Xihong Yang, Sihang Zhou, En Zhu, Xinwang Liu
2024	A*	`conf`	MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. AAAI Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu
2024	J	`jnl`	Object Style Diffusion for Generalized Object Detection in Urban Scene. CoRR Hao Li, Xiangyuan Yang, Mengzhu Wang, Long Lan, Ke Liang, Xinwang Liu, Kenli Li
2024	J	`jnl`	Post-Semantic-Thinking: A Robust Strategy to Distill Reasoning Capacity from Large Language Models. CoRR Xiaoshu Chen, Sihang Zhou, Ke Liang, Xinwang Liu
2024	J	`jnl`	Simple Contrastive Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Siwei Wang, Ke Liang, Wenxuan Tu, Liang Li
2024	A*	`conf`	Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning. ACM Multimedia Ke Liang, Lingyuan Meng, Yue Liu, Meng Liu, Wei Wei, Suyuan Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu
2024	J	`jnl`	Unpaired Multi-View Graph Clustering With Cross-View Structure Matching. IEEE Trans. Neural Networks Learn. Syst. Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, Xinwang Liu
2024	J	`jnl`	scEGG: an exogenous gene-guided clustering method for single-cell transcriptomic data. Briefings Bioinform. Dayu Hu, Renxiang Guan, Ke Liang, Hao Yu, Hao Quan, Yawei Zhao, Xinwang Liu, Kunlun He
2023	J	`jnl`	ABSLearn: a GNN-based framework for aliasing and buffer-size information retrieval. Pattern Anal. Appl. Ke Liang, Jim Tan, Dongrui Zeng, Yongzhe Huang, Xiaolei Huang, Gang Tan
2023	A*	`conf`	CONVERT: Contrastive Graph Clustering with Reliable Augmentation. ACM Multimedia Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu
2023	J	`jnl`	CONVERT: Contrastive Graph Clustering with Reliable Augmentation. CoRR Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu
2023	A*	`conf`	DealMVC: Dual Contrastive Calibration for Multi-view Clustering. ACM Multimedia Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu
2023	J	`jnl`	DealMVC: Dual Contrastive Calibration for Multi-view Clustering. CoRR Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu
2023	J	`jnl`	Deep Temporal Graph Clustering. CoRR Meng Liu, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Xinwang Liu
2023	A*	`conf`	Dink-Net: Neural Clustering on Large Graphs. ICML Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
2023	J	`jnl`	Dink-Net: Neural Clustering on Large Graphs. CoRR Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
2023	A*	`conf`	Efficient Multi-View Graph Clustering with Local and Global Structure Preservation. ACM Multimedia Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang
2023	J	`jnl`	Efficient Multi-View Graph Clustering with Local and Global Structure Preservation. CoRR Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang
2023	A*	`conf`	Hard Sample Aware Network for Contrastive Deep Graph Clustering. AAAI Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen
2023	A*	`conf`	Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. SIGIR Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu
2023	J	`jnl`	Message Intercommunication for Inductive Relation Reasoning. CoRR Ke Liang, Lingyuan Meng, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, Xinwang Liu
2023	J	`jnl`	Pseudo-label Correction and Learning For Semi-Supervised Object Detection. CoRR Yulin He, Wei Chen, Ke Liang, Yusong Tan, Zhengfa Liang, Yulan Guo
2023	A*	`conf`	Reinforcement Graph Clustering with Unknown Cluster Number. ACM Multimedia Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li
2023	J	`jnl`	Reinforcement Graph Clustering with Unknown Cluster Number. CoRR Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li
2023	J	`jnl`	SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning. CoRR Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu
2023	A*	`conf`	Scalable Incomplete Multi-View Clustering with Structure Alignment. ACM Multimedia Yi Wen, Siwei Wang, Ke Liang, Weixuan Liang, Xinhang Wan, Xinwang Liu, Suyuan Liu, Jiyuan Liu, En Zhu
2023	J	`jnl`	Scalable Incomplete Multi-View Clustering with Structure Alignment. CoRR Yi Wen, Siwei Wang, Ke Liang, Weixuan Liang, Xinhang Wan, Xinwang Liu, Suyuan Liu, Jiyuan Liu, En Zhu
2023	J	`jnl`	Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment. CoRR Meng Liu, Ke Liang, Bin Xiao, Sihang Zhou, Wenxuan Tu, Yue Liu, Xihong Yang, Xinwang Liu
2023	J	`jnl`	Single-Cell Clustering via Dual-Graph Alignment. CoRR Dayu Hu, Ke Liang, Xinwang Liu
2023	J	`jnl`	Single-cell Multi-view Clustering via Community Detection with Unknown Number of Clusters. CoRR Dayu Hu, Zhibin Dong, Ke Liang, Jun Wang, Siwei Wang, Xinwang Liu
2023	J	`jnl`	Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning. CoRR Ke Liang, Sihang Zhou, Yue Liu, Lingyuan Meng, Meng Liu, Xinwang Liu
2023	A*	`conf`	TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. ACM Multimedia Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu
2023	J	`jnl`	TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. CoRR Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu
2023	J	`jnl`	Unpaired Multi-View Graph Clustering with Cross-View Structure Matching. CoRR Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, Xinwang Liu
2023	J	`jnl`	arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering. CoRR Meng Liu, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Xinwang Liu
2023	J	`jnl`	scDFC: A deep fusion clustering method for single-cell RNA-seq data. Briefings Bioinform. Dayu Hu, Ke Liang, Sihang Zhou, Wenxuan Tu, Meng Liu, Xinwang Liu
2022	J	`jnl`	A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application. CoRR Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang, Wenxuan Tu, Stan Z. Li, Xinwang Liu
2022	J	`jnl`	Hard Sample Aware Network for Contrastive Deep Graph Clustering. CoRR Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen
2022	J	`jnl`	Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal. CoRR Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun
2022	J	`jnl`	Relational Symmetry based Knowledge Graph Contrastive Learning. CoRR Ke Liang, Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu
2021	J	`jnl`	Machine Learning Applications in the Routing in Computer Networks. CoRR Ke Liang, Mitchel Myers