Xinwang Liu - RankMe

532 papers A* 140A 2B 11C 1Misc 2Journal 366Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	"Stones From Other Hills Can Polish Jade": Zero-Shot Anomaly Synthesis via Cross-Domain Anomaly Injection. IEEE Trans. Image Process. Siqi Wang, Yuanze Hu, Xinwang Liu, Siwei Wang, Guangpu Wang, Chuanfu Xu, Jie Liu, Ping Chen
2026	J	`jnl`	A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges. IEEE Trans. Pattern Anal. Mach. Intell. Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Philip S. Yu, Ming Zhang
2026	J	`jnl`	A Wolf in Sheep's Clothing: Unveiling a Stealthy Backdoor Attack in Subgraph Federated Learning. IEEE Trans. Inf. Forensics Secur. Hao Yu, Wenjing Yang, Chuan Ma, Lingyuan Meng, Liang Du, Tao Xiang, Xinwang Liu, Kunlun He
2026	J	`jnl`	Anchor graph-guided dual-target alignment network for incomplete multi-view clustering. Inf. Fusion Ao Li, Xinya Xu, Tianyu Gao, Dehua Miao, Fengwei Gu, Xinwang Liu
2026	J	`jnl`	Anchor-Guided Sample-and-Feature Incremental Alignment Framework for Multi-View Clustering. IEEE Trans. Circuits Syst. Video Technol. Qian Qu, Xinhang Wan, Jiyuan Liu, Xinwang Liu, En Zhu
2026	J	`jnl`	Beyond Parameter Finetuning: Test-Time Representation Refinement for Node Classification. CoRR Jiaxin Zhang, Yiqi Wang, Siwei Wang, Xihong Yang, Yu Shi, Xinwang Liu, En Zhu
2026	J	`jnl`	Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering. CoRR Yunhui Liu, Yue Liu, Yongchao Liu, Tao Zheng, Stan Z. Li, Xinwang Liu, Tieke He
2026	J	`jnl`	C-WOE: Clustering for Out-of-Distribution Detection Learning With Wild Outlier Exposure. IEEE Trans. Image Process. Long Lan, Zhaohui Hu, He Li, Tongliang Liu, Xinwang Liu
2026	J	`jnl`	Communication-Efficient Federated Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Jiyuan Liu, Xinwang Liu, Siqi Wang, Xinhang Wan, Dongsheng Li, Kai Lu, Kunlun He
2026	J	`jnl`	Continuous Review and Timely Correction: Enhancing the Resistance to Noisy Labels via Self-Not-True and Class-Wise Distillation. IEEE Trans. Pattern Anal. Mach. Intell. Long Lan, Jingyi Wang, Xinghao Wu, Bo Han, Xinwang Liu
2026	J	`jnl`	Contrastive and Dual Adversarial Representation Learning for Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Yanwanyu Xi, Chang Tang, Junjie Huang, Xingchen Hu, Yuanyuan Liu, Xinwang Liu
2026	J	`jnl`	Cross-View Graph Matching for Unsupervised Learning With Unaligned Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Zhibin Dong, Shengju Yu, Siwei Wang, Xinwang Liu, 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	J	`jnl`	Differentially private data augmentation via LLM generation with discriminative and distribution-aligned filtering. Neural Networks Yiping Song, Juhua Zhang, Zhiliang Tian, Taishu Sheng, Yuxin Yang, Minlie Huang, Xinwang Liu, Dongsheng Li
2026	A*	`conf`	Enhancing Kernel Power $K$-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method. AAAI Yixi Chen, Weixuan Liang, Tianrui Liu, Jun-Jie Huang, Ao Li, Xueling Zhu, Xinwang Liu
2026	J	`jnl`	FedMPS: Federated Learning in a Synergy of Multi-Level Prototype-Based Contrastive Learning and Soft Label Generation. IEEE Trans. Neural Networks Learn. Syst. Wenxin Yang, Xingchen Hu, Xiubin Zhu, Rouwan Wu, Witold Pedrycz, Xinwang Liu, Jincai Huang
2026	J	`jnl`	G IEEE Trans. Inf. Forensics Secur. Hao Yu, Chuan Ma, Meng Liu, Tianyu Du, Ming Ding, Tao Xiang, Shouling Ji, Xinwang Liu
2026	A*	`conf`	Graph Masked Autoencoder for Multi-view Remote Sensing Data Clustering. AAAI Renxiang Guan, Junhong Li, Siwei Wang, Tianrui Li, Dayu Hu, Miaomiao Li, 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`	Interpretable Subspace Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Zheng Zhang, Peng Zhou, Aiting Yao, Liang Du, Xinwang Liu
2026	A*	`conf`	KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection. WWW Yifan Wang, Haodong Zhang, Zhiping Xiao, Yusheng Zhao, Siyu Yi, Nan Yin, Xinwang Liu, Ming Zhang, Wei Ju
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`	Medical Federated Learning with Improved Representation and Personalized Aggregation. ACM Trans. Knowl. Discov. Data Qinghe Liu, Mingming Jiang, Pin Wang, Hongli Xu, Rilige Wu, Zhenfeng Zhu, Xinwang Liu, Yawei Zhao, Kunlun He
2026	J	`jnl`	Mutual Calibration Network for Multi-View Clustering. IEEE Trans. Circuits Syst. Video Technol. Yuang Xiao, Chang Tang, Xiao Zheng, Weiqing Yan, Yuanyuan Liu, Xinwang Liu
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`	Parameter-Free Clustering via Self-Supervised Consensus Maximization. AAAI Lijun Zhang, Suyuan Liu, Siwei Wang, Shengju Yu, Xueling Zhu, Miaomiao Li, Xinwang Liu
2026	J	`jnl`	Phrase Grounding-Based Style Transfer for Single-Domain Generalized Object Detection. IEEE Trans. Circuits Syst. Video Technol. Hao Li, Wei Wang, Cong Wang, Mengzhu Wang, Xiang Zhang, Long Lan, Xinwang Liu, Kenli Li, Xiaochun Cao
2026	J	`jnl`	RefSAM: Efficiently adapting segmenting anything model for referring video object segmentation. Neural Networks Yonglin Li, Jing Zhang, Xiao Teng, Haoyu Zhang, Xinwang Liu, Long Lan
2026	J	`jnl`	Riemannian Flow Matching for Disentangled Graph Domain Adaptation. CoRR Yingxu Wang, Xinwang Liu, Mengzhu Wang, Siyang Gao, Nan Yin
2026	J	`jnl`	SCAD: A self-constrained solution to automate context-guided zero-shot image anomaly detection. Neural Networks Siqi Wang, Guangpu Wang, Xinwang Liu, Jie Liu, Jiyuan Liu, Siwei 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	A*	`conf`	Sample-specific Modality Diagnosis and Cross-modal Enhancement for Incomplete Multimodal Representations. AAAI Junsong Chen, Jiyuan Liu, Suyuan Liu, Wei Zhang, Ao Li, En Zhu, Xinwang Liu
2026	A*	`conf`	ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion. WWW Xiang Li, Jianpeng Qi, Haobing Liu, Yuan Cao, Guoqing Chao, Zhongying Zhao, Junyu Dong, Xinwang Liu, Yanwei Yu
2026	J	`jnl`	Self-Regressive Prototype Refinement: Stepping from Local to Global Prototypes in Few-Shot Image Classification. ACM Trans. Multim. Comput. Commun. Appl. Zhenyu Zhou, Qing Liao, Tianrui Liu, Lei Luo, Xinwang Liu, En Zhu
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	J	`jnl`	Span-aware temporal aggregation network for video moment retrieval. Inf. Fusion Xingyu Shen, Jinshi Xiao, Xiang Zhang, Long Lan, 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`	Tensor Multi-Rank Constraint Guided Anchor-Wise Adaptive Alignment for Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Jun Wang, Miaomiao Li, Zhenglai Li, Hao Yu, Suyuan Liu, Dayu Hu, Chang Tang, 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
2025	J	`jnl`	"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection. CoRR Siqi Wang, Yuanze Hu, Xinwang Liu, Siwei Wang, Guangpu Wang, Chuanfu Xu, Jie Liu, Ping Chen
2025	J	`jnl`	A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection Removal. CoRR Jun-Jie Huang, Tianrui Liu, Zihan Chen, Xinwang Liu, Meng Wang, Pier Luigi Dragotti
2025	J	`jnl`	A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection Removal. IEEE Trans. Pattern Anal. Mach. Intell. Junjie Huang, Tianrui Liu, Zihan Chen, Xinwang Liu, Meng Wang, Pier Luigi Dragotti
2025	J	`jnl`	A clustering ensemble algorithm for handling deep embeddings using cluster confidence. Comput. J. Lingbin Zeng, Shixin Yao, Xinwang Liu, Liquan Xiao, Yue Qian
2025	—	`conf`	AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models. ACL (1) Shilong Pan, Zhiliang Tian, Zhen Huang, Wanlong Yu, Zhihua Wen, Xinwang Liu, Kai Lu, Minlie Huang, Dongsheng Li
2025	J	`jnl`	AdaPower: Specializing World Foundation Models for Predictive Manipulation. CoRR Yuhang Huang, SHilong Zou, Jiazhao Zhang, Xinwang Liu, Ruizhen Hu, Kai Xu
2025	J	`jnl`	Adaptive Anchor-Guided Representation Learning for Efficient Multi-View Subspace Clustering. IEEE Trans. Image Process. Mengjiao Zhang, Xinwang Liu, Tianhao Han, Xiaofeng Qu, Sijie Niu
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	A*	`conf`	AudioSet-R: A Refined AudioSet with Multi-Stage LLM Label Reannotation. ACM Multimedia Yulin Sun, Qisheng Xu, Yi Su, Qian Zhu, Yong Dou, Xinwang Liu, Kele Xu
2025	J	`jnl`	AudioSet-R: A Refined AudioSet with Multi-Stage LLM Label Reannotation. CoRR Yulin Sun, Qisheng Xu, Yi Su, Qian Zhu, Yong Dou, Xinwang Liu, Kele Xu
2025	A*	`conf`	Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios. ICML Xihong Yang, Siwei Wang, Fangdi Wang, Jiaqi Jin, Suyuan Liu, Yue Liu, En Zhu, Xinwang Liu, Yueming Jin
2025	J	`jnl`	Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios. CoRR Xihong Yang, Siwei Wang, Fangdi Wang, Jiaqi Jin, Suyuan Liu, Yue Liu, En Zhu, Xinwang Liu, Yueming Jin
2025	A*	`conf`	BGAE: Auto-encoding Multi-view Bipartite Graph Clustering (Extended Abstract). ICDE Liang Li, Yuangang Pan, Jie Liu, Yue Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li
2025	J	`jnl`	BMCST: Balanced multi-view clustering for spatially resolved transcriptomics with Mamba-driven dynamic feature refinement. Inf. Fusion Yanran Zhu, Xiao Zheng, Xiao He, Xin Zou, Peihong Wang, Chang Tang, Xinwang Liu, Kunlun He
2025	J	`jnl`	Balanced Multi-view Clustering. CoRR Zhenglai Li, Jun Wang, Chang Tang, Xinzhong Zhu, Wei Zhang, Xinwang Liu
2025	A*	`conf`	Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead. ICML Shengju Yu, Yiu-ming Cheung, Siwei Wang, Xinwang Liu, En Zhu
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`	Category Alignment Mechanism for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. Zhenyu Zhou, Lei Luo, Tianrui Liu, Qing Liao, Xinwang Liu, En Zhu
2025	J	`jnl`	Coherence mode: Characterizing local graph structural information for temporal knowledge graph. Inf. Sci. Yuehang Si, Xingchen Hu, Qing Cheng, Xinwang Liu, Shixuan Liu, Jincai Huang
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`	Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes. EMNLP Qiunan Du, Zhiliang Tian, Zhen Huang, Kailun Bian, Tianlun Liu, Zhaoning Zhang, Xinwang Liu, Feng Liu, Dong Sheng Li
2025	A*	`conf`	DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization. ICLR Yi Zhang, Siwei Wang, Jiyuan Liu, Shengju Yu, Zhibin Dong, Suyuan Liu, Xinwang Liu, 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	—	`conf`	DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation. ACL (Findings) Zhonghao Sun, Zhiliang Tian, Yiping Song, Yuyi Si, Juhua Zhang, Minlie Huang, Kai Lu, Zeyu Xiong, Xinwang Liu, Dongsheng Li
2025	J	`jnl`	DREAM: A Dual Variational Framework for Unsupervised Graph Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Nan Yin, Li Shen, Mengzhu Wang, Xinwang Liu, Chong Chen, Xian-Sheng Hua
2025	A*	`conf`	DShield: Defending against Backdoor Attacks on Graph Neural Networks via Discrepancy Learning. NDSS Hao Yu, Chuan Ma, Xinhang Wan, Jun Wang, Tao Xiang, Meng Shen, Xinwang Liu
2025	—	`conf`	DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference. ACL (Findings) Juhua Zhang, Zhiliang Tian, Minghang Zhu, Yiping Song, Taishu Sheng, Siyi Yang, Qiunan Du, Xinwang Liu, Minlie Huang, Dongsheng Li
2025	A*	`conf`	DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. ICDE Xihong Yang, Heming Jing, Zixing Zhang, Jindong Wang, Huakang Niu, Shuaiqiang Wang, Yu Lu, Junfeng Wang, Dawei Yin, Xinwang Liu, En Zhu, Defu Lian, Erxue Min
2025	J	`jnl`	Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance. CoRR Jiaqi Jin, Siwei Wang, Zhibin Dong, Xihong Yang, Xinwang Liu, En Zhu, Kunlun He
2025	J	`jnl`	Deep Incomplete Multiview Clustering via Local and Global Pseudo-Label Propagation. IEEE Trans. Neural Networks Learn. Syst. Cong Feng, Ao Li, Haoyue Xu, Hailu Yang, Xinwang Liu
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`	Distance-Aware Learning for Inductive Link Prediction on Temporal Networks. IEEE Trans. Neural Networks Learn. Syst. Zhiqiang Pan, Fei Cai, Xinwang Liu, Honghui Chen
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	J	`jnl`	Diversity Learning Guided Dual Graph Autoencoder for Unsupervised Hyperspectral Band Selection. IEEE Trans. Circuits Syst. Video Technol. Wei Feng, Chang Tang, Cheng Zeng, Xinwang Liu, Junjun Jiang, Xianju Li, Xinzhong Zhu
2025	A*	`conf`	Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs. ACM Multimedia Yaowen Hu, Wenxuan Tu, Yue Liu, Miaomiao Li, Wenpeng Lu, Zhigang Luo, Xinwang Liu, Ping Chen
2025	J	`jnl`	Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs. CoRR Yaowen Hu, Wenxuan Tu, Yue Liu, Miaomiao Li, Wenpeng Lu, Zhigang Luo, Xinwang Liu, Ping Chen
2025	J	`jnl`	Dual Test-Time Training for Out-of-Distribution Recommender System. IEEE Trans. Knowl. Data Eng. Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian
2025	J	`jnl`	Dynamic Ensemble Framework for Imbalanced Data Classification. IEEE Trans. Knowl. Data Eng. Tuanfei Zhu, Xingchen Hu, Xinwang Liu, En Zhu, Xinzhong Zhu, Huiying Xu
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	J	`jnl`	Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification. IEEE Trans. Geosci. Remote. Sens. Long Lan, Fengxiang Wang, Xiangtao Zheng, Zengmao Wang, 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`	Enhancing Kernel Power K-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method. CoRR Yixi Chen, Weixuan Liang, Tianrui Liu, Jun-Jie Huang, Ao Li, Xueling Zhu, Xinwang Liu
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	J	`jnl`	FRCL-MNER: A Finer Grained Rank-Based Contrastive Learning Framework for Multimodal NER. IEEE Trans. Neural Networks Learn. Syst. Tianwei Yan, Shan Zhao, Wentao Ma, Shezheng Song, Chengyu Wang, Zhibo Rao, Shizhao Chen, Zhigang Luo, 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`	Fair Clustering Ensemble With Equal Cluster Capacity. IEEE Trans. Pattern Anal. Mach. Intell. Peng Zhou, Rongwen Li, Zhaolong Ling, Liang Du, Xinwang Liu
2025	A*	`conf`	Find True Collaborators: Banzhaf Index-based Cross View Alignment for Partially View-aligned Clustering. ACM Multimedia Shanghui Deng, Xiao Zheng, Chang Tang, Kun Sun, Yuanyuan Liu, Xinwang Liu
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`	Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence. CoRR Xihong Yang, Siwei Wang, Jiaqi Jin, Fangdi Wang, Tianrui Liu, Yueming Jin, Xinwang Liu, En Zhu, Kunlun He
2025	J	`jnl`	Generalized Probabilistic Graphical Modeling for Multi-View Bipartite Graph Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Liang Li, Yuangang Pan, Yinghua Yao, Junpu Zhang, Moyun Liu, Xueling Zhu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li
2025	J	`jnl`	Higher-order Enhanced Contrastive-based Graph Anomaly Detection Without Graph Augmentation. Pattern Recognit. Jingtao Hu, Siwei Wang, Jingcan Duan, Hu Jin, Xinwang Liu, En Zhu
2025	J	`jnl`	Hyperspectral Video Tracking With Spectral-Spatial Fusion and Memory Enhancement. IEEE Trans. Image Process. Yuzeng Chen, Qiangqiang Yuan, Hong Xie, Yuqi Tang, Yi Xiao, Jiang He, Renxiang Guan, Xinwang Liu, Liangpei Zhang
2025	J	`jnl`	Improved Dual Correlation Reduction Network With Affinity Recovery. IEEE Trans. Neural Networks Learn. Syst. Yue Liu, Sihang Zhou, Xihong Yang, Xinwang Liu, Wenxuan Tu, Liang Li, Xin Xu, Fuchun Sun
2025	A*	`conf`	Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning. CVPR Yuzhuo Dai, Jiaqi Jin, Zhibin Dong, Siwei Wang, Xinwang Liu, En Zhu, Xihong Yang, Xinbiao Gan, Yu Feng
2025	J	`jnl`	Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning. CoRR Yuzhuo Dai, Jiaqi Jin, Zhibin Dong, Siwei Wang, Xinwang Liu, En Zhu, Xihong Yang, Xinbiao Gan, Yu Feng
2025	J	`jnl`	Incomplete Multiview Clustering Based on Consensus Information. IEEE Trans. Neural Networks Learn. Syst. Jiayi Tang, Long Zhao, Xinwang Liu
2025	J	`jnl`	Incremental Multi-View Clustering: Exploring Stream-View Correlations to Learn Consistency and Diversity. IEEE Trans. Knowl. Data Eng. Yu Feng, Weixuan Liang, Xinhang Wan, Jiyuan Liu, Miaomiao Li, Xinwang Liu
2025	A*	`conf`	Incremental Nyström-based Multiple Kernel Clustering. AAAI Yu Feng, Weixuan Liang, Xinhang Wan, Jiyuan Liu, Suyuan Liu, Qian Qu, Renxiang Guan, Huiying Xu, Xinwang Liu
2025	J	`jnl`	Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery. CoRR Xinhang Wan, Jiyuan Liu, Qian Qu, Suyuan Liu, Chuyu Zhang, Fangdi Wang, Xinwang Liu, En Zhu, Kunlun He
2025	J	`jnl`	JetBGC: Joint Robust Embedding and Structural Fusion Bipartite Graph Clustering. IEEE Trans. Knowl. Data Eng. Liang Li, Yuangang Pan, Junpu Zhang, Pei Zhang, Jie Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li
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	J	`jnl`	KoSEL: Knowledge subgraph enhanced large language model for medical question answering. Knowl. Based Syst. Zefan Zeng, Qing Cheng, Xingchen Hu, Yan Zhuang, Xinwang Liu, Kunlun He, Zhong Liu
2025	A*	`conf`	LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment. IJCAI Yanwanyu Xi, Xiao Zheng, Chang Tang, Xingchen Hu, Yuanyuan Liu, Jun-Jie Huang, Xinwang Liu
2025	J	`jnl`	LaDi-WM: A Latent Diffusion-based World Model for Predictive Manipulation. CoRR Yuhang Huang, Jiazhao Zhang, SHilong Zou, Xinwang Liu, Ruizhen Hu, Kai Xu
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`	Latent Semantics and Anchor Graph Multi-Layer Learning for Multi-View Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. Qi Liu, Suyuan Liu, Xinwang Liu, Jianhua Dai
2025	J	`jnl`	Learning Knowledge-diverse Experts for Long-tailed Graph Classification. ACM Trans. Knowl. Discov. Data Zhengyang Mao, Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Qingqing Long, Nan Yin, Xinwang Liu, Ming Zhang
2025	A*	`conf`	Learning the Anchors with Similar Distributions to Original Data for Multi-view Clustering. ACM Multimedia Junpu Zhang, Shengju Yu, Suyuan Liu, Siwei Wang, Miaomiao Li, Xinwang Liu, En Zhu, Kunlun He
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`	Linear Complexity Multi-View Unsupervised Feature Selection via Anchor-Based Feature Relationship Construction. IEEE Trans. Image Process. Qi Liu, Suyuan Liu, Jianhua Dai, Xueling Zhu, Xinwang Liu
2025	J	`jnl`	MG-SIN: Multigraph Sparse Interaction Network for Multitask Stance Detection. IEEE Trans. Neural Networks Learn. Syst. Heyan Chai, Jinhao Cui, Siyu Tang, Ye Ding, Xinwang Liu, Binxing Fang, Qing Liao
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	J	`jnl`	Masked Superpixel Contrastive Subspace Clustering Network for Unsupervised Large-Scale Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Mengjiao Zhang, Tianhao Han, Xiaofeng Qu, Xizhan Gao, Xinwang Liu, Sijie Niu
2025	A*	`conf`	Max-Mahalanobis Anchors Guidance for Multi-View Clustering. AAAI Pei Zhang, Yuangang Pan, Siwei Wang, Shengju Yu, Huiying Xu, En Zhu, Xinwang Liu, Ivor W. Tsang
2025	J	`jnl`	Medical Federated Model With Mixture of Personalized and Shared Components. IEEE Trans. Pattern Anal. Mach. Intell. Yawei Zhao, Qinghe Liu, Pan Liu, Xinwang Liu, Kunlun He
2025	J	`jnl`	Multi-View Clustering via High-Order Bipartite Graph Learning and Tensor Low-Rank Representation. IEEE Trans. Knowl. Data Eng. Chuan Tang, Miaomiao Li, Jun Wang, Chang Tang, Jiahe Jiang, Tianyi Wang, En Zhu, Xinwang Liu
2025	A*	`conf`	Multi-view Graph Clustering with Dual Relation Optimization for Remote Sensing Data. ACM Multimedia Renxiang Guan, Junhong Li, Siwei Wang, Wenxuan Tu, Miaomiao Li, En Zhu, Xinwang Liu, Ping Chen
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	J	`jnl`	Object Affordance Recognition and Grounding via Multi-scale Cross-modal Representation Learning. CoRR Xinhang Wan, Dongqiang Gou, Xinwang Liu, En Zhu, Xuming He
2025	J	`jnl`	On Nonconvex SGD Under Unbounded Noise With Weak Gradient Lipschitz and Delayed Stochastic Gradient. IEEE Trans. Pattern Anal. Mach. Intell. Tao Sun, Li Shen, 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`	One-Step Multi-View Clustering With Diverse Representation. IEEE Trans. Neural Networks Learn. Syst. Xinhang Wan, Jiyuan Liu, Xinbiao Gan, Xinwang Liu, Siwei Wang, Yi Wen, Tianjiao Wan, En Zhu
2025	J	`jnl`	Parameter-Free Clustering via Self-Supervised Consensus Maximization (Extended Version). CoRR Lijun Zhang, Suyuan Liu, Siwei Wang, Shengju Yu, Xueling Zhu, Miaomiao Li, Xinwang Liu
2025	J	`jnl`	Part-Aware Shape Generation With Latent 3D Diffusion of Neural Voxel Fields. IEEE Trans. Vis. Comput. Graph. Yuhang Huang, SHilong Zou, Xinwang Liu, Kai Xu
2025	—	`conf`	PolyMamba: Spatial-Prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement. MICCAI (11) Renyu Fu, Shurui Hu, Xiao Zheng, Chang Tang, 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	J	`jnl`	Regularized Instance Weighting Multiview Clustering via Late Fusion Alignment. IEEE Trans. Neural Networks Learn. Syst. Yi Zhang, Fengyu Tian, Chuan Ma, Miaomiao Li, Hengfu Yang, Zhe Liu, En Zhu, Xinwang Liu
2025	J	`jnl`	Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration. J. Mach. Learn. Res. Tao Sun, Xinwang Liu, Kun Yuan
2025	J	`jnl`	Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network. IEEE Trans. Neural Networks Learn. Syst. Wenxuan Tu, Bin Xiao, Xinwang Liu, Sihang Zhou, Zhiping Cai, Jieren Cheng
2025	A*	`conf`	Robust and Consistent Anchor Graph Learning for Multi-View Clustering (Extended Abstract). ICDE Suyuan Liu, Qing Liao, Siwei Wang, Xinwang Liu, En Zhu
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`	SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Jingtao Hu, Bin Xiao, Hu Jin, Jingcan Duan, Siwei Wang, Zhao Lv, Siqi Wang, Xinwang Liu, En Zhu
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`	SMILENet: Unleashing Extra-Large Capacity Image Steganography via a Synergistic Mosaic InvertibLE Hiding Network. CoRR Junjie Huang, Zihan Chen, Tianrui Liu, Wentao Zhao, Xin Deng, Xinwang Liu, Meng Wang, Pier Luigi Dragotti
2025	J	`jnl`	STFormer: Spatial-Temporal-Aware Transformer for Video Instance Segmentation. IEEE Trans. Neural Networks Learn. Syst. Hao Li, Wei Wang, Mengzhu Wang, Huibin Tan, Long Lan, Zhigang Luo, Xinwang Liu, Kenli Li
2025	J	`jnl`	Sample Adaptive Localized Simple Multiple Kernel K-Means and its Application in Parcellation of Human Cerebral Cortex. IEEE Trans. Pattern Anal. Mach. Intell. Xinwang Liu, Yi Zhang, Li Liu, Chang Tang, Limin Peng, Long Lan, Dewen Hu
2025	J	`jnl`	Sampling Enhanced Contrastive Multi-View Remote Sensing Data Clustering With Long-Short Range Information Mining. IEEE Trans. Knowl. Data Eng. Renxiang Guan, Tianrui Liu, Wenxuan Tu, Chang Tang, Wenhan Luo, Xinwang Liu
2025	J	`jnl`	Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiatio. CoRR Yaowen Hu, Wenxuan Tu, Yue Liu, Xinhang Wan, Junyi Yan, Taichun Zhou, Xinwang Liu
2025	A*	`conf`	Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation. ICML Yaowen Hu, Wenxuan Tu, Yue Liu, Xinhang Wan, Junyi Yan, Taichun Zhou, Xinwang Liu
2025	J	`jnl`	Scalable Multi-View Graph Clustering With Cross-View Corresponding Anchor Alignment. IEEE Trans. Knowl. Data Eng. Siwei Wang, Xinwang Liu, Qing Liao, Yi Wen, En Zhu, Kunlun He
2025	J	`jnl`	Selective Cross-View Topology for Deep Incomplete Multi-View Clustering. IEEE Trans. Image Process. Zhibin Dong, Dayu Hu, Jiaqi Jin, Siwei Wang, Xinwang Liu, En Zhu
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`	Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction. ICLR Shengju Yu, Zhibin Dong, Siwei Wang, Pei Zhang, Yi Zhang, Xinwang Liu, Naiyang Guan, Tiejun Li, Yiu-ming Cheung
2025	J	`jnl`	Smooth Multiple Kernel k-Means via Underlying Graph Filtering. IEEE Trans. Neural Networks Learn. Syst. Wenqi Yang, Chang Tang, Xinwang Liu, Guanghui Yue, Yuanyuan Liu, Changqing Zhang, En Zhu
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`	Sparse Low-Rank Multi-View Subspace Clustering With Consensus Anchors and Unified Bipartite Graph. IEEE Trans. Neural Networks Learn. Syst. Shengju Yu, Suyuan Liu, Siwei Wang, Chang Tang, Zhigang Luo, Xinwang Liu, En Zhu
2025	A*	`conf`	Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation. IJCAI Yuang Xiao, Yanran Zhu, Chang Tang, Xiao Zheng, Yuanyuan Liu, Kun Sun, Xinwang Liu
2025	J	`jnl`	Spectral Discrepancy and Cross-Modal Semantic Consistency Learning for Object Detection in Hyperspectral Images. IEEE Trans. Multim. Xiao He, Chang Tang, Xinwang Liu, Wei Zhang, Zhimin Gao, Chuankun Li, Shaohua Qiu, Jiangfeng Xu
2025	J	`jnl`	Spectral Discrepancy and Cross-modal Semantic Consistency Learning for Object Detection in Hyperspectral Image. CoRR Xiao He, Chang Tang, Xinwang Liu, Wei Zhang, Zhimin Gao, Chuankun Li, Shaohua Qiu, Jiangfeng Xu
2025	A*	`conf`	Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data. AAAI Renxiang Guan, Wenxuan Tu, Siwei Wang, Jiyuan Liu, Dayu Hu, Chang Tang, Yu Feng, Junhong Li, Baili Xiao, Xinwang Liu
2025	J	`jnl`	Subgraph Propagation and Contrastive Calibration for Incomplete Multiview Data Clustering. IEEE Trans. Neural Networks Learn. Syst. Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Bin Xiao, Siwei Wang, Xinwang Liu, En Zhu
2025	J	`jnl`	TFMKC: Tuning-Free Multiple Kernel Clustering Coupled With Diverse Partition Fusion. IEEE Trans. Neural Networks Learn. Syst. Junpu Zhang, Liang Li, Pei Zhang, Yue Liu, Siwei Wang, Changbao Zhou, Xinwang Liu, En Zhu
2025	J	`jnl`	TK-RNSP: Efficient Top-K Repetitive Negative Sequential Pattern mining. Inf. Process. Manag. Dun Lan, Chuanhou Sun, Xiangjun Dong, Ping Qiu, Yongshun Gong, Xinwang Liu, Philippe Fournier-Viger, Chengqi Zhang
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	J	`jnl`	Time-Aware Graph Learning for Link Prediction on Temporal Networks. IEEE Trans. Neural Networks Learn. Syst. Zhiqiang Pan, Honghui Chen, Wanyu Chen, Fei Cai, Xinwang Liu
2025	A*	`conf`	VSumMamba: Mamba Empowered Efficient Video Summarization with Multi-Scale Spatial-Temporal Modeling. ACM Multimedia Yamiao Ding, Tianrui Liu, Zhizhou Lu, Jun-Jie Huang, Wentao Zhao, Xinwang Liu, Meng Wang
2025	J	`jnl`	WAGE: Weight-Sharing Attribute-Missing Graph Autoencoder. IEEE Trans. Pattern Anal. Mach. Intell. Wenxuan Tu, Sihang Zhou, Xinwang Liu, Zhiping Cai, Yawei Zhao, Yue Liu, Kunlun He
2025	J	`jnl`	WildVideo: Benchmarking LMMs for Understanding Video-Language Interaction. IEEE Trans. Pattern Anal. Mach. Intell. Songyuan Yang, Weijiang Yu, Wenjing Yang, Xinwang Liu, Huibin Tan, Long Lan, Nong Xiao
2025	J	`jnl`	scSPAF: Cell Similarity Purified Adaptive Fusion Network for Single-Cell Multi-Omics Clustering. IEEE Trans. Comput. Biol. Bioinform. Shanghui Deng, Xiao Zheng, Chang Tang, Xinwang Liu, Yuanyuan Liu, Shan An
2024	A*	`conf`	A Lightweight Anchor-Based Incremental Framework for Multi-view Clustering. ACM Multimedia Qian Qu, Xinhang Wan, Weixuan Liang, Jiyuan Liu, Yu Feng, Huiying Xu, Xinwang Liu, En Zhu
2024	J	`jnl`	A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. CoRR Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang
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	J	`jnl`	ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness. IEEE Trans. Neural Networks Learn. Syst. Jingcan Duan, Bin Xiao, Siwei Wang, Haifang Zhou, Xinwang Liu
2024	J	`jnl`	Active Clustering Ensemble With Self-Paced Learning. IEEE Trans. Neural Networks Learn. Syst. Peng Zhou, Bicheng Sun, Xinwang Liu, Liang Du, Xuejun Li
2024	J	`jnl`	Active-Passive Federated Learning for Vertically Partitioned Multi-view Data. CoRR Jiyuan Liu, Xinwang Liu, Siqi Wang, Xingchen Hu, Qing Liao, Xinhang Wan, Yi Zhang, Xin Lv, Kunlun He
2024	J	`jnl`	AdvLoRA: Adversarial Low-Rank Adaptation of Vision-Language Models. CoRR Yuheng Ji, Yue Liu, Zhicheng Zhang, Zhao Zhang, Yuting Zhao, Gang Zhou, Xingwei Zhang, Xinwang Liu, Xiaolong Zheng
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	J	`jnl`	An Efficient Federated Multiview Fuzzy C-Means Clustering Method. IEEE Trans. Fuzzy Syst. Xingchen Hu, Jindong Qin, Yinghua Shen, Witold Pedrycz, Xinwang Liu, Jiyuan Liu
2024	J	`jnl`	Application of Gradient Boosting in the Design of Fuzzy Rule-Based Regression Models. IEEE Trans. Knowl. Data Eng. Huimin Zhang, Xingchen Hu, Xiubin Zhu, Xinwang Liu, Witold Pedrycz
2024	A*	`conf`	Attribute-Missing Graph Clustering Network. AAAI Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu
2024	A*	`conf`	Automatic and Aligned Anchor Learning Strategy for Multi-View Clustering. ACM Multimedia Huimin Ma, Siwei Wang, Shengju Yu, Suyuan Liu, Junjie Huang, Huijun Wu, Xinwang Liu, En Zhu
2024	J	`jnl`	BGAE: Auto-Encoding Multi-View Bipartite Graph Clustering. IEEE Trans. Knowl. Data Eng. Liang Li, Yuangang Pan, Jie Liu, Yue Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li
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	J	`jnl`	Consistency-constrained unsupervised video anomaly detection framework based on Co-teaching. Neurocomputing Wenhao Shao, Praboda Rajapaksha, Noël Crespi, Xuechen Zhao, Mengzhu Wang, Nan Yin, Xinwang Liu, Zhigang Luo
2024	A*	`conf`	DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering. AAAI Shengju Yu, Siwei Wang, Pei Zhang, Miao Wang, Ziming Wang, Zhe Liu, Liming Fang, En Zhu, Xinwang Liu
2024	J	`jnl`	DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. CoRR Xihong Yang, Heming Jing, Zixing Zhang, Jindong Wang, Huakang Niu, Shuaiqiang Wang, Yu Lu, Junfeng Wang, Dawei Yin, Xinwang Liu, En Zhu, Defu Lian, Erxue Min
2024	A*	`conf`	Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information. ICML Xinhang Wan, Jiyuan Liu, Xinwang Liu, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu
2024	J	`jnl`	Deep Fusion Clustering Network With Reliable Structure Preservation. IEEE Trans. Neural Networks Learn. Syst. Lei Gong, Wenxuan Tu, Sihang Zhou, Long Zhao, Zhe Liu, 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	J	`jnl`	Differentiated Anchor Quantity Assisted Incomplete Multiview Clustering Without Number-Tuning. IEEE Trans. Cybern. Shengju Yu, Pei Zhang, Siwei Wang, Zhibin Dong, Hengfu Yang, En Zhu, Xinwang Liu
2024	J	`jnl`	Discriminative embedded multi-view fuzzy C-means clustering for feature-redundant and incomplete data. Inf. Sci. Yan Li, Xingchen Hu, Tuanfei Zhu, Jiyuan Liu, Xinwang Liu, Zhong Liu
2024	J	`jnl`	Dual Test-time Training for Out-of-distribution Recommender System. CoRR Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian
2024	J	`jnl`	Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification. CoRR Long Lan, Fengxiang Wang, Shuyan Li, Xiangtao Zheng, Zengmao Wang, Xinwang Liu
2024	J	`jnl`	Eigenvalue Ratio Inspired Partition Learning and Fusion for Multiple Kernel Clustering. IEEE Trans. Knowl. Data Eng. Wenqi Yang, Chang Tang, Xiao Zheng, Xinzhong Zhu, Xinwang Liu
2024	A*	`conf`	End-to-end Learnable Clustering for Intent Learning in Recommendation. NeurIPS Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Xinwang Liu, Shengju Yu, Kejun Zhang, Wenliang Zhong
2024	A*	`conf`	Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering. NeurIPS Fangdi Wang, Jiaqi Jin, Jingtao Hu, Suyuan Liu, Xihong Yang, Siwei Wang, Xinwang Liu, En Zhu
2024	J	`jnl`	Fast Approximated Multiple Kernel K-Means. IEEE Trans. Knowl. Data Eng. Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu, Xinzhong Zhu
2024	J	`jnl`	Fast Continual Multi-View Clustering With Incomplete Views. IEEE Trans. Image Process. Xinhang Wan, Bin Xiao, Xinwang Liu, Jiyuan Liu, Weixuan Liang, En Zhu
2024	J	`jnl`	Fast Incomplete Multi-View Clustering With View-Independent Anchors. IEEE Trans. Neural Networks Learn. Syst. Suyuan Liu, Xinwang Liu, Siwei Wang, Xin Niu, En Zhu
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	J	`jnl`	Global Context Relation-Guided Feature Aggregation Network for Salient Object Detection in Optical Remote Sensing Images. Remote. Sens. Jian Li, Chuankun Li, Xiao Zheng, Xinwang Liu, Chang Tang
2024	J	`jnl`	Gradient Normalization with(out) Clipping Ensures Convergence of Nonconvex SGD under Heavy-Tailed Noise with Improved Results. CoRR Tao Sun, Xinwang Liu, Kun Yuan
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	A*	`conf`	Heterogeneous Graph Guided Contrastive Learning for Spatially Resolved Transcriptomics Data. ACM Multimedia Xiao He, Chang Tang, Xinwang Liu, Chuankun Li, Shan An, Zhenglai Li
2024	J	`jnl`	Hierarchically Contrastive Hard Sample Mining for Graph Self-Supervised Pretraining. IEEE Trans. Neural Networks Learn. Syst. Wenxuan Tu, Shaohua Kevin Zhou, Xinwang Liu, Chunpeng Ge, Zhiping Cai, Yue 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`	How to Construct Corresponding Anchors for Incomplete Multiview Clustering. IEEE Trans. Circuits Syst. Video Technol. Shengju Yu, Siwei Wang, Yi Wen, Ziming Wang, Zhigang Luo, En Zhu, Xinwang Liu
2024	J	`jnl`	Incomplete Multiple Kernel Alignment Maximization for Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Xinwang Liu
2024	J	`jnl`	Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu
2024	J	`jnl`	Iterative Deep Structural Graph Contrast Clustering for Multiview Raw Data. IEEE Trans. Neural Networks Learn. Syst. Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Siwei Wang, Xinzhong Zhu, Xinwang Liu, En Zhu
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	J	`jnl`	Late Fusion Multiview Clustering via Min-Max Optimization. IEEE Trans. Neural Networks Learn. Syst. Miaomiao Li, Xinwang Liu, Yi Zhang, Weixuan Liang
2024	J	`jnl`	Layer Sequence Extraction of Optimized DNNs Using Side-Channel Information Leaks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yidan Sun, Guiyuan Jiang, Xinwang Liu, Peilan He, Siew-Kei Lam
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	J	`jnl`	Local Sample-Weighted Multiple Kernel Clustering With Consensus Discriminative Graph. IEEE Trans. Neural Networks Learn. Syst. Liang Li, Siwei Wang, Xinwang Liu, En Zhu, Li Shen, Kenli Li, Keqin Li
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`	MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection With Patch-Level Annotations. IEEE Trans. Geosci. Remote. Sens. Zhenglai Li, Chang Tang, Xinwang Liu, Changdong Li, Xianju Li, Wei Zhang
2024	J	`jnl`	Mixed Graph Contrastive Network for Semi-supervised Node Classification. ACM Trans. Knowl. Discov. Data Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu
2024	J	`jnl`	Multi-View Adaptive Fusion Network for Spatially Resolved Transcriptomics Data Clustering. IEEE Trans. Knowl. Data Eng. Yanran Zhu, Xiao He, Chang Tang, Xinwang Liu, Yuanyuan Liu, Kunlun He
2024	J	`jnl`	Multiple Kernel Clustering With Adaptive Multi-Scale Partition Selection. IEEE Trans. Knowl. Data Eng. Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Xinhang Wan, Xinwang Liu
2024	J	`jnl`	Multiview Deep Anomaly Detection: A Systematic Exploration. IEEE Trans. Neural Networks Learn. Syst. Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin, Wenjing Yang
2024	J	`jnl`	Multiview Spectral Clustering Based on Consensus Neighbor Strategy. IEEE Trans. Neural Networks Learn. Syst. Jiayi Tang, Yuping Lai, 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`	On the Consistency and Large-Scale Extension of Multiple Kernel Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Weixuan Liang, Chang Tang, Xinwang Liu, Yong Liu, Jiyuan Liu, En Zhu, Kunlun He
2024	J	`jnl`	Online Differentiable Clustering for Intent Learning in Recommendation. CoRR Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Wenliang Zhong, Guannan Zhang, Kejun Zhang, Xinwang Liu
2024	J	`jnl`	Parameter-Free and Scalable Incomplete Multiview Clustering With Prototype Graph. IEEE Trans. Neural Networks Learn. Syst. Miaomiao Li, Siwei Wang, Xinwang Liu, Suyuan Liu
2024	J	`jnl`	Part-aware Shape Generation with Latent 3D Diffusion of Neural Voxel Fields. CoRR Yuhang Huang, SHilong Zou, Xinwang Liu, Kai Xu
2024	J	`jnl`	Partial Clustering Ensemble. IEEE Trans. Knowl. Data Eng. Peng Zhou, Liang Du, Xinwang Liu, Zhaolong Ling, Xia Ji, Xuejun Li, Yi-Dong Shen
2024	J	`jnl`	Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection. CoRR Hao Li, Wei Wang, Cong Wang, Zhigang Luo, Xinwang Liu, Kenli Li, Xiaochun Cao
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`	ProtoRefine: Enhancing Prototypes with Similar Structure in Few-Shot Learning. ACM Trans. Multim. Comput. Commun. Appl. Zhenyu Zhou, Qing Liao, Lei Luo, Xinwang Liu, En Zhu
2024	J	`jnl`	RARE: Robust Masked Graph Autoencoder. IEEE Trans. Knowl. Data Eng. Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai, Kunlun He
2024	J	`jnl`	Regularized Simple Multiple Kernel k-Means With Kernel Average Alignment. IEEE Trans. Neural Networks Learn. Syst. Miaomiao Li, Yi Zhang, Chuan Ma, Suyuan Liu, Zhe Liu, Jianping Yin, Xinwang Liu, Qing Liao
2024	A*	`conf`	Reliable Attribute-missing Multi-view Clustering with Instance-level and feature-level Cooperative Imputation. ACM Multimedia Dayu Hu, Suyuan Liu, Jun Wang, Junpu Zhang, Siwei Wang, Xingchen Hu, Xinzhong Zhu, Chang Tang, Xinwang Liu
2024	J	`jnl`	Robust and Consistent Anchor Graph Learning for Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Suyuan Liu, Qing Liao, Siwei Wang, Xinwang Liu, En Zhu
2024	J	`jnl`	SN-RNSP: Mining self-adaptive nonoverlapping repetitive negative sequential patterns in transaction sequences. Knowl. Based Syst. Chuanhou Sun, Yongshun Gong, Ying Guo, Long Zhao, Hongjiao Guan, Xinwang Liu, Xiangjun Dong
2024	A*	`conf`	Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering. AAAI Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu
2024	A*	`conf`	Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation. ICML Weixuan Liang, En Zhu, Shengju Yu, Huiying Xu, Xinzhong Zhu, Xinwang Liu
2024	J	`jnl`	Scalable and Structural Multi-View Graph Clustering With Adaptive Anchor Fusion. IEEE Trans. Image Process. Siwei Wang, Xinwang Liu, Suyuan Liu, Wenxuan Tu, En Zhu
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`	Spatial-Spectral Graph Contrastive Clustering With Hard Sample Mining for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. Renxiang Guan, Wenxuan Tu, Zihao Li, Hao Yu, Dayu Hu, Yuzeng Chen, Chang Tang, Qiangqiang Yuan, Xinwang Liu
2024	J	`jnl`	Symmetric Multi-View Subspace Clustering With Automatic Neighbor Discovery. IEEE Trans. Circuits Syst. Video Technol. Huimin Ma, Siwei Wang, Junpu Zhang, Shengju Yu, Suyuan Liu, Xinwang Liu, Kunlun He
2024	J	`jnl`	TIG-CL: Teacher-Guided Individual- and Group-Aware Contrastive Learning for Unsupervised Person Reidentification in Internet of Things. IEEE Internet Things J. Xiao Teng, Chuan Li, Xueqiong Li, Xinwang Liu, Long Lan
2024	J	`jnl`	Task-Related Saliency for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. Zhenyu Zhou, Lei Luo, Sihang Zhou, Wang Li, Xihong Yang, Xinwang Liu, En Zhu
2024	A*	`conf`	Test-Time Training on Graphs with Large Language Models (LLMs). ACM Multimedia Jiaxin Zhang, Yiqi Wang, Xihong Yang, Siwei Wang, Yu Feng, Yu Shi, Ruichao Ren, En Zhu, Xinwang Liu
2024	J	`jnl`	Test-Time Training on Graphs with Large Language Models (LLMs). CoRR Jiaxin Zhang, Yiqi Wang, Xihong Yang, Siwei Wang, Yu Feng, Yu Shi, Ruichao Ren, En Zhu, Xinwang Liu
2024	A*	`conf`	Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering. ICML Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu
2024	J	`jnl`	Trustworthy multi-view clustering via alternating generative adversarial representation learning and fusion. Inf. Fusion Wenqi Yang, Minhui Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Kunlun He
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	B	`conf`	Unsupervised Graph Anomaly Detection on Directed Attribute Network. IJCNN Haoyang Li, Siwei Wang, Xinwang Liu, Xinbiao Gan
2024	A*	`conf`	View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering. ACM Multimedia Fangdi Wang, Jiaqi Jin, Zhibin Dong, Xihong Yang, Yu Feng, Xinwang Liu, Xinzhong Zhu, Siwei Wang, Tianrui Liu, En Zhu
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	A*	`conf`	Auto-Weighted Multi-View Clustering for Large-Scale Data. AAAI Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou
2023	J	`jnl`	Auto-weighted Multi-view Clustering for Large-scale Data. CoRR Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou
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`	Cluster-Guided Contrastive Graph Clustering Network. AAAI Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu
2023	J	`jnl`	Cluster-guided Contrastive Graph Clustering Network. CoRR Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu
2023	A*	`conf`	Consensus One-step Multi-view Subspace Clustering (Extended abstract). ICDE Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai
2023	A*	`conf`	Consistency of Multiple Kernel Clustering. ICML Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu
2023	J	`jnl`	Contrastive Continual Multi-view Clustering with Filtered Structural Fusion. CoRR Xinhang Wan, Jiyuan Liu, Ao Li, Xinwang Liu, En Zhu
2023	J	`jnl`	Contrastive Multi-View Kernel Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Qing Liao, Yuanqing Xia
2023	A*	`conf`	Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering. ICCV Zhibin Dong, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu
2023	A*	`conf`	DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification. ACM Multimedia Xin Zou, Chang Tang, Xiao Zheng, Zhenglai Li, Xiao He, Shan An, Xinwang Liu
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`	Decoupled Diffusion Models with Explicit Transition Probability. CoRR Yuhang Huang, Zheng Qin, Xinwang Liu, Kai Xu
2023	A*	`conf`	Deep Incomplete Multi-View Clustering with Cross-View Partial Sample and Prototype Alignment. CVPR Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu
2023	J	`jnl`	Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment. CoRR Jiaqi Jin, Siwei Wang, Zhibin Dong, 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	J	`jnl`	Design and Analysis of a Self-Adaptive Zeroing Neural Network for Solving Time-Varying Quadratic Programming. IEEE Trans. Neural Networks Learn. Syst. Jianhua Dai, Xing Yang, Lin Xiao, Lei Jia, Xinwang Liu, Yaonan Wang
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	J	`jnl`	E$^{3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection. IEEE Trans. Pattern Anal. Mach. Intell. Siqi Wang, Yijie Zeng, Guang Yu, Zhen Cheng, Xinwang Liu, Sihang Zhou, En Zhu, Marius Kloft, Jianping Yin, Qing Liao
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	J	`jnl`	Fast Continual Multi-View Clustering with Incomplete Views. CoRR Xinhang Wan, Bin Xiao, Xinwang Liu, Jiyuan Liu, Weixuan Liang, En Zhu
2023	J	`jnl`	G CoRR Hao Yu, Chuan Ma, Meng Liu, Xinwang Liu, Zhe Liu, Ming Ding
2023	J	`jnl`	GANN: Graph Alignment Neural Network for Semi-Supervised Learning. CoRR Linxuan Song, Wenxuan Tu, Sihang Zhou, Xinwang Liu, En Zhu
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	J	`jnl`	Hyperparameter-Free Localized Simple Multiple Kernel K-means With Global Optimum. IEEE Trans. Pattern Anal. Mach. Intell. Xinwang Liu
2023	J	`jnl`	Improving Embedding Generalization in Few-Shot Learning With Instance Neighbor Constraints. IEEE Trans. Image Process. Zhenyu Zhou, Lei Luo, Qing Liao, Xinwang Liu, En Zhu
2023	J	`jnl`	Late Fusion Multiple Kernel Clustering With Local Kernel Alignment Maximization. IEEE Trans. Multim. Tiejian Zhang, Xinwang Liu, Lei Gong, Siwei Wang, Xin Niu, Li Shen
2023	J	`jnl`	Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement. IEEE Trans. Neural Networks Learn. Syst. Siwei Wang, Xinwang Liu, Li Liu, Sihang Zhou, En Zhu
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	A*	`conf`	Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering. AAAI Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo
2023	J	`jnl`	Lightweight Remote Sensing Change Detection With Progressive Feature Aggregation and Supervised Attention. IEEE Trans. Geosci. Remote. Sens. Zhenglai Li, Chang Tang, Xinwang Liu, Wei Zhang, Jie Dou, Lizhe Wang, Albert Y. Zomaya
2023	J	`jnl`	Localized Incomplete Multiple Kernel k-Means With Matrix-Induced Regularization. IEEE Trans. Cybern. Miaomiao Li, Jingyuan Xia, Huiying Xu, Qing Liao, Xinzhong Zhu, Xinwang Liu
2023	J	`jnl`	MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection with Patch-Level Annotations. CoRR Zhenglai Li, Chang Tang, Xinwang Liu, Changdong Li, Xianju Li, Wei Zhang
2023	J	`jnl`	Medical Federated Model with Mixture of Personalized and Sharing Components. CoRR Yawei Zhao, Qinghe Liu, Xinwang Liu, Kunlun He
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`	Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin
2023	J	`jnl`	Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter. IEEE Trans. Knowl. Data Eng. Liang Li, Junpu Zhang, Siwei Wang, Xinwang Liu, Kenli Li, Keqin Li
2023	J	`jnl`	Multi-View Fuzzy Classification With Subspace Clustering and Information Granules. IEEE Trans. Knowl. Data Eng. Xingchen Hu, Xinwang Liu, Witold Pedrycz, Qing Liao, Yinghua Shen, Yan Li, Siwei Wang
2023	J	`jnl`	Multi-view clustering via matrix factorization assisted Neurocomputing Xiao Zheng, Chang Tang, Xinwang Liu, En Zhu
2023	J	`jnl`	Multi-view subspace clustering via adaptive graph learning and late fusion alignment. Neural Networks Chuan Tang, Kun Sun, Chang Tang, Xiao Zheng, Xinwang Liu, Jun-Jie Huang, Wei Zhang
2023	J	`jnl`	Multiple Kernel Clustering With Compressed Subspace Alignment. IEEE Trans. Neural Networks Learn. Syst. Sihang Zhou, Qiyuan Ou, Xinwang Liu, Siqi Wang, Luyan Liu, Siwei Wang, En Zhu, Jianping Yin, Xin Xu
2023	A*	`conf`	Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning. ACM Multimedia Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu
2023	J	`jnl`	Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning. CoRR Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu
2023	J	`jnl`	Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation. CoRR Xiao He, Chang Tang, Xinwang Liu, Wei Zhang, Kun Sun, Jiangfeng Xu
2023	J	`jnl`	Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation. IEEE Trans. Geosci. Remote. Sens. Xiao He, Chang Tang, Xinwang Liu, Wei Zhang, Kun Sun, Jiangfeng Xu
2023	A*	`conf`	On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions. NeurIPS Yufeng Zhang, Jialu Pan, Li Ken Li, Wanwei Liu, Zhenbang Chen, Xinwang Liu, Ji Wang
2023	J	`jnl`	One-step Multi-view Clustering with Diverse Representation. CoRR Xinhang Wan, Jiyuan Liu, Xinwang Liu, Siwei Wang, Yi Wen, Tianjiao Wan, Li Shen, En Zhu
2023	J	`jnl`	Oversampling With Reliably Expanding Minority Class Regions for Imbalanced Data Learning. IEEE Trans. Knowl. Data Eng. Tuanfei Zhu, Xinwang Liu, En Zhu
2023	J	`jnl`	Platform-Oriented Event Time Allocation. IEEE Trans. Knowl. Data Eng. Heli Sun, Ning Wang, Jingyu Jia, Jianbin Huang, Hui Xiong, Liang He, Xinwang Liu, Shan Zhang, Shaojie Qiao, Jizhong Zhao
2023	J	`jnl`	RARE: Robust Masked Graph Autoencoder. CoRR Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai
2023	J	`jnl`	Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection. IEEE Trans. Cybern. Jun Wang, Chang Tang, Xinwang Liu, Wei Zhang, Wanqing Li, Xinzhong Zhu, Lizhe Wang, Albert Y. Zomaya
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`	Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz. CoRR Tao Sun, Congliang Chen, Peng Qiao, Li Shen, Xinwang Liu, Dongsheng Li
2023	J	`jnl`	Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network. CoRR Wenxuan Tu, Bin Xiao, Xinwang Liu, Sihang Zhou, Zhiping Cai, Jieren Cheng
2023	J	`jnl`	Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold. IEEE Trans. Knowl. Data Eng. Yu Hu, Endai Guo, Zhi Xie, Xinwang Liu, Hongmin Cai
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`	Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering. ACM Trans. Knowl. Discov. Data Peng Zhou, Xinwang Liu, Liang Du, Xuejun Li
2023	J	`jnl`	SimpleMKKM: Simple Multiple Kernel K-Means. IEEE Trans. Pattern Anal. Mach. Intell. 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`	Spatial and Spectral Structure Preserved Self-Representation for Unsupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. Chang Tang, Jun Wang, Xiao Zheng, Xinwang Liu, Weiying Xie, Xianju Li, Xinzhong Zhu
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`	Unified One-Step Multi-View Spectral Clustering. IEEE Trans. Knowl. Data Eng. Chang Tang, Zhenglai Li, Jun Wang, Xinwang Liu, Wei Zhang, En Zhu
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`	Unsupervised feature selection via multiple graph fusion and feature weight learning. Sci. China Inf. Sci. Chang Tang, Xiao Zheng, Wei Zhang, Xinwang Liu, Xinzhong Zhu, En Zhu
2023	J	`jnl`	Video Anomaly Detection via Visual Cloze Tests. IEEE Trans. Inf. Forensics Secur. Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, En Zhu, Jianping Yin
2023	J	`jnl`	WSDS-GAN: A weak-strong dual supervised learning method for underwater image enhancement. Pattern Recognit. Qiong Liu, Qi Zhang, Wei Liu, Wenbai Chen, Xinwang Liu, Xiangke Wang
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 Self-Supervised Gait Encoding Approach With Locality-Awareness for 3D Skeleton Based Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Xinwang Liu, Bin Hu
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`	A Variable-Parameter Noise-Tolerant Zeroing Neural Network for Time-Variant Matrix Inversion With Guaranteed Robustness. IEEE Trans. Neural Networks Learn. Syst. Lin Xiao, Yongjun He, Jianhua Dai, Xinwang Liu, Bolin Liao, Haiyan Tan
2022	J	`jnl`	Adaptive partial graph learning and fusion for incomplete multi-view clustering. Int. J. Intell. Syst. Xiao Zheng, Xinwang Liu, Jiajia Chen, En Zhu
2022	A*	`conf`	Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences. NeurIPS Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu
2022	J	`jnl`	Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences. CoRR Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu
2022	A*	`conf`	Attributed Graph Clustering with Dual Redundancy Reduction. IJCAI Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu
2022	J	`jnl`	Consensus Graph Learning for Multi-View Clustering. IEEE Trans. Multim. Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu
2022	J	`jnl`	Consensus One-Step Multi-View Subspace Clustering. IEEE Trans. Knowl. Data Eng. Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai
2022	A*	`conf`	Continual Multi-view Clustering. ACM Multimedia Xinhang Wan, Jiyuan Liu, Weixuan Liang, Xinwang Liu, Yi Wen, En Zhu
2022	J	`jnl`	Contrastive Deep Graph Clustering with Learnable Augmentation. CoRR Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu
2022	J	`jnl`	Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, Jing Zhang, Jian Xiong, Lizhe Wang
2022	J	`jnl`	DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features. IEEE Trans. Pattern Anal. Mach. Intell. Chang Tang, Xinwang Liu, Xiao Zheng, Wanqing Li, Jian Xiong, Lizhe Wang, Albert Y. Zomaya, Antonella Longo
2022	A*	`conf`	Deep Anomaly Discovery from Unlabeled Videos via Normality Advantage and Self-Paced Refinement. CVPR Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, Chuanfu Xu, Chengkun Wu
2022	A*	`conf`	Deep Graph Clustering via Dual Correlation Reduction. AAAI Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu
2022	A*	`conf`	DisARM: Displacement Aware Relation Module for 3D Detection. CVPR Yao Duan, Chenyang Zhu, Yuqing Lan, Renjiao Yi, Xinwang Liu, Kai Xu
2022	J	`jnl`	DisARM: Displacement Aware Relation Module for 3D Detection. CoRR Yao Duan, Chenyang Zhu, Yuqing Lan, Renjiao Yi, Xinwang Liu, Kai Xu
2022	A*	`conf`	Effective Video Abnormal Event Detection by Learning A Consistency-Aware High-Level Feature Extractor. ACM Multimedia Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, Chengkun Wu
2022	A*	`conf`	Efficient Anchor Learning-based Multi-view Clustering - A Late Fusion Method. ACM Multimedia Tiejian Zhang, Xinwang Liu, En Zhu, Sihang Zhou, Zhibin Dong
2022	A*	`conf`	Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors. AAAI Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao
2022	J	`jnl`	Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance. IEEE Trans. Image Process. Siwei Wang, Xinwang Liu, Xinzhong Zhu, Pei Zhang, Yi Zhang, Feng Gao, En Zhu
2022	A*	`conf`	Fusion Multiple Kernel K-means. AAAI Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu
2022	J	`jnl`	GADMSL: Graph Anomaly Detection on Attributed Networks via Multi-scale Substructure Learning. CoRR Jingcan Duan, Siwei Wang, Xinwang Liu, Haifang Zhou, Jingtao Hu, Hu Jin
2022	J	`jnl`	Graph regularized spatial-spectral subspace clustering for hyperspectral band selection. Neural Networks Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu
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`	High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering. IEEE Trans. Image Process. Zhenglai Li, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu
2022	A*	`conf`	Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph. CVPR Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu
2022	J	`jnl`	Hyperspectral band selection via region-aware latent features fusion based clustering. Inf. Fusion Jun Wang, Chang Tang, Zhenglai Li, Xinwang Liu, Wei Zhang, En Zhu, Lizhe Wang
2022	J	`jnl`	Improved Dual Correlation Reduction Network. CoRR Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu, Xihong Yang
2022	A*	`conf`	Initializing Then Refining: A Simple Graph Attribute Imputation Network. IJCAI Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng
2022	J	`jnl`	Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning. CoRR Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu
2022	J	`jnl`	Late Fusion Multi-view Clustering via Global and Local Alignment Maximization. CoRR Siwei Wang, Xinwang Liu, En Zhu
2022	J	`jnl`	Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph. CoRR Liang Li, Siwei Wang, Xinwang Liu, En Zhu, Li Shen, Kenli Li, Keqin Li
2022	J	`jnl`	Mixed Graph Contrastive Network for Semi-Supervised Node Classification. CoRR Xihong Yang, Yue Liu, Sihang Zhou, Xinwang Liu, En Zhu
2022	J	`jnl`	Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix. IEEE Trans. Knowl. Data Eng. Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu
2022	A*	`conf`	Multiple Kernel Clustering with Dual Noise Minimization. ACM Multimedia Junpu Zhang, Liang Li, Siwei Wang, Jiyuan Liu, Yue Liu, Xinwang Liu, En Zhu
2022	J	`jnl`	Multiple Kernel Clustering with Dual Noise Minimization. CoRR Junpu Zhang, Liang Li, Siwei Wang, Jiyuan Liu, Yue Liu, Xinwang Liu, En Zhu
2022	J	`jnl`	Multiview Subspace Clustering via Co-Training Robust Data Representation. IEEE Trans. Neural Networks Learn. Syst. Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Xifeng Guo, Marius Kloft, Liangzhong He
2022	J	`jnl`	Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels. IEEE Trans. Knowl. Data Eng. Jiyuan Liu, Xinwang Liu, Jian Xiong, Qing Liao, Sihang Zhou, Siwei Wang, Yuexiang Yang
2022	A*	`conf`	Platform-Oriented Event Time Allocation(Extended Abstract). ICDE Heli Sun, Ning Wang, Jingyu Jia, Jianbin Huang, Hui Xiong, Liang He, Xinwang Liu, Shan Zhang, Shaojie Qiao, Jizhong Zhao
2022	J	`jnl`	Predicting Future Locations with Semantic Trajectories. ACM Trans. Intell. Syst. Technol. Heli Sun, Xianglan Guo, Zhou Yang, Xuguang Chu, Xinwang Liu, Liang He
2022	J	`jnl`	Projective Multiple Kernel Subspace Clustering. IEEE Trans. Multim. Mengjing Sun, Siwei Wang, Pei Zhang, Xinwang Liu, Xifeng Guo, Sihang Zhou, En Zhu
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
2022	A*	`conf`	Robust Graph-Based Multi-View Clustering. AAAI Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu
2022	A*	`conf`	Sample Weighted Multiple Kernel K-means via Min-Max optimization. ACM Multimedia Yi Zhang, Weixuan Liang, Xinwang Liu, Sisi Dai, Siwei Wang, Liyang Xu, En Zhu
2022	J	`jnl`	Semantic instance segmentation with discriminative deep supervision for medical images. Medical Image Anal. Sihang Zhou, Dong Nie, Ehsan Adeli, Qian Wei, Xuhua Ren, Xinwang Liu, En Zhu, Jianping Yin, Qian Wang, Dinggang Shen
2022	A*	`conf`	Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel. NeurIPS Weixuan Liang, Xinwang Liu, Yong Liu, Sihang Zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu
2022	J	`jnl`	Transfer reinforcement learning via meta-knowledge extraction using auto-pruned decision trees. Knowl. Based Syst. Yixing Lan, Xin Xu, Qiang Fang, Yujun Zeng, Xinwang Liu, Xianjian Zhang
2021	J	`jnl`	A Theoretical Revisit to Linear Convergence for Saddle Point Problems. ACM Trans. Intell. Syst. Technol. Wendi Wu, Yawei Zhao, En Zhu, Xinwang Liu, Xingxing Zhang, Lailong Luo, Shixiong Wang, Jianping Yin
2021	J	`jnl`	Anomaly Detection With Kernel Preserving Embedding. ACM Trans. Knowl. Discov. Data Huawen Liu, Enhui Li, Xinwang Liu, Kaile Su, Shichao Zhang
2021	J	`jnl`	BR$^2$Net: Defocus Blur Detection Via a Bidirectional Channel Attention Residual Refining Network. IEEE Trans. Multim. Chang Tang, Xinwang Liu, Shan An, Pichao Wang
2021	J	`jnl`	Deep Distribution-preserving Incomplete Clustering with Optimal Transport. CoRR Mingjie Luo, Siwei Wang, Xinwang Liu, Wenxuan Tu, Yi Zhang, Xifeng Guo, Sihang Zhou, En Zhu
2021	A*	`conf`	Deep Fusion Clustering Network. AAAI Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng
2021	J	`jnl`	Deep Graph Clustering via Dual Correlation Reduction. CoRR Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu
2021	J	`jnl`	Efficient Batch-Mode Reinforcement Learning Using Extreme Learning Machines. IEEE Trans. Syst. Man Cybern. Syst. Jiahang Liu, Lei Zuo, Xin Xu, Xinglong Zhang, Junkai Ren, Qiang Fang, Xinwang Liu
2021	J	`jnl`	Efficient and Effective Regularized Incomplete Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu
2021	J	`jnl`	Fragmentary Multi-Instance Classification. IEEE Trans. Cybern. Jie Wu, Wenzhang Zhuge, Xinwang Liu, Li Liu, Chenping Hou
2021	A*	`conf`	Hierarchical Multiple Kernel Clustering. AAAI Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang
2021	A*	`conf`	Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering. IJCAI Chang Tang, Xinwang Liu, En Zhu, Lizhe Wang, Albert Y. Zomaya
2021	J	`jnl`	Improved autoencoder for unsupervised anomaly detection. Int. J. Intell. Syst. Zhen Cheng, Siwei Wang, Pei Zhang, Siqi Wang, Xinwang Liu, En Zhu
2021	J	`jnl`	Learning deep discriminative embeddings via joint rescaled features and log-probability centers. Pattern Recognit. Huayue Cai, Xiang Zhang, Long Lan, Guohua Dong, Chuanfu Xu, Xinwang Liu, Zhigang Luo
2021	A*	`conf`	Localized Simple Multiple Kernel K-means. ICCV Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang
2021	J	`jnl`	Multi-View Clustering With Learned Bipartite Graph. IEEE Access Miaomiao Li, Weixuan Liang, Xinwang Liu
2021	A*	`conf`	Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. ACM Multimedia Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang
2021	J	`jnl`	Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. CoRR Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang
2021	J	`jnl`	Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement. CoRR Chen Zhang, Siwei Wang, Wenxuan Tu, Pei Zhang, Xinwang Liu, Changwang Zhang, Bo Yuan
2021	J	`jnl`	Multi-view Deep One-class Classification: A Systematic Exploration. CoRR Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin
2021	J	`jnl`	Multiple kernel clustering with late fusion consensus local graph preserving. Int. J. Intell. Syst. Yujing Zhang, Siwei Wang, Xinwang Liu, En Zhu
2021	A*	`conf`	One Pass Late Fusion Multi-view Clustering. ICML Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu
2021	A*	`conf`	One-Stage Incomplete Multi-view Clustering via Late Fusion. ACM Multimedia Yi Zhang, Xinwang Liu, Siwei Wang, Jiyuan Liu, Sisi Dai, En Zhu
2021	A*	`conf`	One-pass Multi-view Clustering for Large-scale Data. ICCV Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Li Liu, Siqi Wang, Weixuan Liang, Jiangyong Shi
2021	J	`jnl`	Partial multiview clustering with locality graph regularization. Int. J. Intell. Syst. Huiqiang Lian, Huiying Xu, Siwei Wang, Miaomiao Li, Xinzhong Zhu, Xinwang Liu
2021	A*	`conf`	Scalable Multi-view Subspace Clustering with Unified Anchors. ACM Multimedia Mengjing Sun, Pei Zhang, Siwei Wang, Sihang Zhou, Wenxuan Tu, Xinwang Liu, En Zhu, Changjian Wang
2021	J	`jnl`	Self-Paced Clustering Ensemble. IEEE Trans. Neural Networks Learn. Syst. Peng Zhou, Liang Du, Xinwang Liu, Yi-Dong Shen, Mingyu Fan, Xuejun Li
2021	A*	`conf`	Self-Representation Subspace Clustering for Incomplete Multi-view Data. ACM Multimedia Jiyuan Liu, Xinwang Liu, Yi Zhang, Pei Zhang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Weixuan Liang, Siqi Wang, Yuexiang Yang
2021	J	`jnl`	Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos. CoRR Siqi Wang, Guang Yu, Zhiping Cai, En Zhu, Xinwang Liu, Jianping Yin, Chengzhang Zhu
2021	J	`jnl`	Siamese Attribute-missing Graph Auto-encoder. CoRR Wenxuan Tu, Sihang Zhou, Yue Liu, Xinwang Liu
2021	J	`jnl`	Simultaneous Clustering and Optimization for Evolving Datasets. IEEE Trans. Knowl. Data Eng. Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin
2021	J	`jnl`	Structured graph learning for clustering and semi-supervised classification. Pattern Recognit. Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian
2021	A	`conf`	Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data. ICME Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu
2021	J	`jnl`	Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests. CoRR Siqi Wang, Guang Yu, Zhiping Cai, Xinwang Liu, En Zhu, Jianping Yin, Qing Liao
2020	J	`jnl`	A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification. CoRR Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Bin Hu, Xinwang Liu
2020	J	`jnl`	Absent Multiple Kernel Learning Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, Jianping Yin
2020	J	`jnl`	Accelerating SGD using flexible variance reduction on large-scale datasets. Neural Comput. Appl. Mingxing Tang, Linbo Qiao, Zhen Huang, Xinwang Liu, Yuxing Peng, Xueliang Liu
2020	J	`jnl`	Adaptive Self-Paced Deep Clustering with Data Augmentation. IEEE Trans. Knowl. Data Eng. Xifeng Guo, Xinwang Liu, En Zhu, Xinzhong Zhu, Miaomiao Li, Xin Xu, Jianping Yin
2020	A*	`conf`	CGD: Multi-View Clustering via Cross-View Graph Diffusion. AAAI Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao
2020	J	`jnl`	Deep Fusion Clustering Network. CoRR Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng
2020	J	`jnl`	Deep Learning for Generic Object Detection: A Survey. Int. J. Comput. Vis. Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen
2020	J	`jnl`	Differentially Private ERM Based on Data Perturbation. CoRR Yilin Kang, Yong Liu, Lizhong Ding, Xinwang Liu, Xinyi Tong, Weiping Wang
2020	J	`jnl`	Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization. IEEE Trans. Knowl. Data Eng. Chang Tang, Xinwang Liu, Xinzhong Zhu, Jian Xiong, Miaomiao Li, Jingyuan Xia, Xiangke Wang, Lizhe Wang
2020	J	`jnl`	Meta-learning for Multi-variable Non-convex Optimization Problems: Iterating Non-optimums Makes Optimum Possible. CoRR Jingyuan Xia, Shengxi Li, Jun-Jie Huang, Imad M. Jaimoukha, Xinwang Liu
2020	J	`jnl`	Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix. CoRR Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu
2020	A*	`conf`	Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix. AAAI Sihang Zhou, Xinwang Liu, Jiyuan Liu, Xifeng Guo, Yawei Zhao, En Zhu, Yongping Zhai, Jianping Yin, Wen Gao
2020	J	`jnl`	Multiple Kernel $k$k-Means with Incomplete Kernels. IEEE Trans. Pattern Anal. Mach. Intell. Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, Wen Gao
2020	J	`jnl`	Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation. IEEE Trans. Neural Networks Learn. Syst. Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin
2020	A*	`conf`	R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features. AAAI Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Y. Zomaya
2020	J	`jnl`	SimpleMKKM: Simple Multiple Kernel K-means. CoRR Xinwang Liu, En Zhu, Jiyuan Liu, Timothy M. Hospedales, Yang Wang, Meng Wang
2020	J	`jnl`	Structured Graph Learning for Clustering and Semi-supervised Classification. CoRR Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian
2020	J	`jnl`	Subspace segmentation-based robust multiple kernel clustering. Inf. Fusion Sihang Zhou, En Zhu, Xinwang Liu, Tianming Zheng, Qiang Liu, Jingyuan Xia, Jianping Yin
2020	J	`jnl`	Understand Dynamic Regret with Switching Cost for Online Decision Making. ACM Trans. Intell. Syst. Technol. Yawei Zhao, Qian Zhao, Xingxing Zhang, En Zhu, Xinwang Liu, Jianping Yin
2020	J	`jnl`	ℓ IEEE Access Qiang Wang, Xinwang Liu, Jiaqing Xu
2019	J	`jnl`	Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation. IEEE Trans. Multim. Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, Lizhe Wang
2019	A*	`conf`	Affine Equivariant Autoencoder. IJCAI Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin
2019	J	`jnl`	An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos. Sensors Jingtao Hu, En Zhu, Siqi Wang, Xinwang Liu, Xifeng Guo, Jianping Yin
2019	J	`jnl`	Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization. IEEE Access Jingtao Hu, Miaomiao Li, En Zhu, Siwei Wang, Xinwang Liu, Yongping Zhai
2019	A*	`conf`	Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. AAAI Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang
2019	A*	`conf`	DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features. CVPR Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang, Albert Y. Zomaya
2019	J	`jnl`	Diversity and consistency learning guided spectral embedding for multi-view clustering. Neurocomputing Zhenglai Li, Chang Tang, Jiajia Chen, Cheng Wan, Weiqing Yan, Xinwang Liu
2019	J	`jnl`	Dual graph regularized compact feature representation for unsupervised feature selection. Neurocomputing Shaoyong Li, Chang Tang, Xinwang Liu, Yaping Liu, Jiajia Chen
2019	A*	`conf`	Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network. NeurIPS Siqi Wang, Yijie Zeng, Xinwang Liu, En Zhu, Jianping Yin, Chuanfu Xu, Marius Kloft
2019	J	`jnl`	Efficient Multiple Kernel k-Means Clustering With Late Fusion. IEEE Access Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu
2019	A*	`conf`	Efficient and Effective Incomplete Multi-View Clustering. AAAI Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao
2019	J	`jnl`	K-Means Clustering With Incomplete Data. IEEE Access Siwei Wang, Miaomiao Li, Ning Hu, En Zhu, Jingtao Hu, Xinwang Liu, Jianping Yin
2019	J	`jnl`	Late Fusion Incomplete Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang, Wen Gao
2019	J	`jnl`	Learning a Joint Affinity Graph for Multiview Subspace Clustering. IEEE Trans. Multim. Chang Tang, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang, Lizhe Wang
2019	A*	`conf`	Multi-view Clustering via Late Fusion Alignment Maximization. IJCAI Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin
2019	J	`jnl`	Robust Multi-View Clustering With a Unified Weight Learning Paradigm. IEEE Access Miaomiao Li, Zhenglai Li, Chang Tang, Xinwang Liu, Lulu Wang
2019	A*	`conf`	Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios. AAAI Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang
2019	A	`conf`	Salient Object Detection via Recurrently Aggregating Spatial Attention Weighted Cross-Level Deep Features. ICME Chang Tang, Xinzhong Zhu, Xinwang Liu, Pichao Wang
2019	J	`jnl`	Scalable k-means for large-scale clustering. Intell. Data Anal. Yuewei Ming, En Zhu, Mao Wang, Qiang Liu, Xinwang Liu, Jianping Yin
2019	J	`jnl`	Simultaneous Clustering and Optimization for Evolving Datasets. CoRR Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin
2019	A*	`conf`	Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data. IJCAI Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao, Dongyun Yi
2019	J	`jnl`	Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets. IEEE Trans. Knowl. Data Eng. Yawei Zhao, Kai Xu, En Zhu, Xinwang Liu, Xinzhong Zhu, Jianping Yin
2019	B	`conf`	Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression. IJCNN Jingtao Hu, En Zhu, Siqi Wang, Siwei Wang, Xinwang Liu, Jianping Yin
2019	J	`jnl`	Understand Dynamic Regret with Switching Cost for Online Decision Making. CoRR Yawei Zhao, Qian Zhao, Xingxing Zhang, En Zhu, Xinwang Liu, Jianping Yin
2019	J	`jnl`	Unsupervised feature selection via latent representation learning and manifold regularization. Neural Networks Chang Tang, Meiru Bian, Xinwang Liu, Miaomiao Li, Hua Zhou, Pichao Wang, Hailin Yin
2018	—	`conf`	A Kernel Method with Manifold Regularization for Interactive Segmentation. NCTCS Haohao Chen, En Zhu, Xinwang Liu, Junnan Zhang, Jianping Yin
2018	J	`jnl`	Consensus learning guided multi-view unsupervised feature selection. Knowl. Based Syst. Chang Tang, Jiajia Chen, Xinwang Liu, Miaomiao Li, Pichao Wang, Minhui Wang, Peng Lu
2018	A*	`conf`	Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. AAAI Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu
2018	J	`jnl`	Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. CoRR Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu
2018	J	`jnl`	DMP-ELMs: Data and model parallel extreme learning machines for large-scale learning tasks. Neurocomputing Yuewei Ming, En Zhu, Mao Wang, Yongkai Ye, Xinwang Liu, Jianping Yin
2018	C	`conf`	Deep Embedded Clustering with Data Augmentation. ACML Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin
2018	A*	`conf`	Deep Embedding for Determining the Number of Clusters. AAAI Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin
2018	J	`jnl`	Deep Learning for Generic Object Detection: A Survey. CoRR Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen
2018	—	`conf`	DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition. ECCV (2) Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu
2018	J	`jnl`	Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit. CoRR Yawei Zhao, En Zhu, Xinwang Liu, Jianping Yin
2018	A*	`conf`	FISH-MML: Fisher-HSIC Multi-View Metric Learning. IJCAI Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu
2018	J	`jnl`	Financial time series prediction using ℓ Neurocomputing Jingming Xue, Sihang Zhou, Qiang Liu, Xinwang Liu, Jianping Yin
2018	J	`jnl`	Game-Theoretic Design of Optimal Two-Sided Rating Protocols for Service Exchange Dilemma in Crowdsourcing. IEEE Trans. Inf. Forensics Secur. Jianfeng Lu, Yun Xin, Zhao Zhang, Xinwang Liu, Kenli Li
2018	J	`jnl`	Incomplete Multiview Clustering via Late Fusion. Comput. Intell. Neurosci. Yongkai Ye, Xinwang Liu, Qiang Liu, Xifeng Guo, Jianping Yin
2018	J	`jnl`	Incremental multiple kernel extreme learning machine and its application in Robo-advisors. Soft Comput. Jingming Xue, Qiang Liu, Miaomiao Li, Xinwang Liu, Yongkai Ye, Siqi Wang, Jianping Yin
2018	J	`jnl`	Large-scale k-means clustering via variance reduction. Neurocomputing Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Kaikai Zhao, Jianping Yin
2018	A*	`conf`	Latent Semantic Aware Multi-View Multi-Label Classification. AAAI Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang
2018	J	`jnl`	Local kernel alignment based multi-view clustering using extreme learning machine. Neurocomputing Qiang Wang, Yong Dou, Xinwang Liu, Fei Xia, Qi Lv, Ke Yang
2018	A*	`conf`	Localized Incomplete Multiple Kernel k-means. IJCAI Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao
2018	J	`jnl`	Model-aware categorical data embedding: a data-driven approach. Soft Comput. Wentao Zhao, Qian Li, Chengzhang Zhu, Jianglong Song, Xinwang Liu, Jianping Yin
2018	—	`conf`	Multi-view Clustering with Noisy Views. CSAI/ICIMT Yongkai Ye, Xinwang Liu, Jianping Yin
2018	J	`jnl`	Multiple Kernel Clustering With Global and Local Structure Alignment. IEEE Access Chuanli Wang, En Zhu, Xinwang Liu, Long Gao, Jianping Yin, Ning Hu
2018	A*	`conf`	Reliable Multi-View Clustering. AAAI Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu
2018	J	`jnl`	Robust graph regularized unsupervised feature selection. Expert Syst. Appl. Chang Tang, Xinzhong Zhu, Jiajia Chen, Pichao Wang, Xinwang Liu, Jie Tian
2018	J	`jnl`	Robust unsupervised feature selection via dual self-representation and manifold regularization. Knowl. Based Syst. Chang Tang, Xinwang Liu, Miaomiao Li, Pichao Wang, Jiajia Chen, Lizhe Wang, Wanqing Li
2018	J	`jnl`	Selecting the Optimal Hidden Layer of Extreme Learning Machine Using Multiple Kernel Learning. KSII Trans. Internet Inf. Syst. Wentao Zhao, Pan Li, Qiang Liu, Dan Liu, Xinwang Liu
2018	J	`jnl`	Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets. CoRR Yawei Zhao, Kai Xu, Xinwang Liu, En Zhu, Xinzhong Zhu, Jianping Yin
2018	A*	`conf`	Variance Reduced K-Means Clustering. AAAI Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Jianping Yin
2017	J	`jnl`	A subspace ensemble framework for classification with high dimensional missing data. Multidimens. Syst. Signal Process. Hang Gao, Songlei Jian, Yuxing Peng, Xinwang Liu
2017	A*	`conf`	Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network. IJCAI Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li
2017	J	`jnl`	Consensus Kernel K-Means Clustering for Incomplete Multiview Data. Comput. Intell. Neurosci. Yongkai Ye, Xinwang Liu, Qiang Liu, Jianping Yin
2017	—	`conf`	Deep Clustering with Convolutional Autoencoders. ICONIP (2) Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin
2017	J	`jnl`	DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition. CoRR Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu
2017	A*	`conf`	Fast Compressive Spectral Clustering. ICDM Ting Li, Yiming Zhang, Dongsheng Li, Xinwang Liu, Yuxing Peng
2017	J	`jnl`	Game-Theoretic Design of Optimal Two-Sided Rating Protocols for Service Exchange Dilemma in Crowdsourcing. CoRR Jianfeng Lu, Yun Xin, Zhao Zhang, Xinwang Liu, Kenli Li
2017	A*	`conf`	Improved Deep Embedded Clustering with Local Structure Preservation. IJCAI Xifeng Guo, Long Gao, Xinwang Liu, Jianping Yin
2017	A*	`conf`	Multiple Kernel Clustering Framework with Improved Kernels. IJCAI Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li
2017	A*	`conf`	Multiple Kernel k-Means with Incomplete Kernels. AAAI Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu
2017	J	`jnl`	Multiple kernel clustering with corrupted kernels. Neurocomputing Teng Li, Yong Dou, Xinwang Liu, Yang Zhao, Qi Lv
2017	J	`jnl`	Multiple kernel learning with hybrid kernel alignment maximization. Pattern Recognit. Yueqing Wang, Xinwang Liu, Yong Dou, Qi Lv, Yao Lu
2017	A*	`conf`	Optimal Neighborhood Kernel Clustering with Multiple Kernels. AAAI Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin
2016	J	`jnl`	A novel multi-view clustering method via low-rank and matrix-induced regularization. Neurocomputing Yang Zhao, Yong Dou, Xinwang Liu, Teng Li
2016	J	`jnl`	Absent extreme learning machine algorithm with application to packed executable identification. Neural Comput. Appl. Peidai Xie, Xinwang Liu, Jianping Yin, Yongjun Wang
2016	B	`conf`	Appearance changes detection during tracking. ICPR Wei Chen, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin
2016	B	`conf`	Co-regularized kernel k-means for multi-view clustering. ICPR Yongkai Ye, Xinwang Liu, Jianping Yin, En Zhu
2016	B	`conf`	ELM based multiple kernel k-means with diversity-induced regularization. IJCNN Yang Zhao, Yong Dou, Xinwang Liu, Teng Li
2016	J	`jnl`	Joint diversity regularization and graph regularization for multiple kernel k-means clustering via latent variables. Neurocomputing Teng Li, Yong Dou, Xinwang Liu
2016	B	`conf`	Localized region context and object feature fusion for people head detection. ICIP Yule Li, Yong Dou, Xinwang Liu, Teng Li
2016	J	`jnl`	MI-ELM: Highly efficient multi-instance learning based on hierarchical extreme learning machine. Neurocomputing Qiang Liu, Sihang Zhou, Chengzhang Zhu, Xinwang Liu, Jianping Yin
2016	J	`jnl`	Multi-view clustering with extreme learning machine. Neurocomputing Qiang Wang, Yong Dou, Xinwang Liu, Qi Lv, Shijie Li
2016	A*	`conf`	Multiple Kernel AAAI Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu
2016	A*	`conf`	Multiple Kernel Clustering with Local Kernel Alignment Maximization. IJCAI Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin, En Zhu
2016	J	`jnl`	PR-ELM: Parallel regularized extreme learning machine based on cluster. Neurocomputing Yueqing Wang, Yong Dou, Xinwang Liu, Yuanwu Lei
2016	J	`jnl`	Random Fourier extreme learning machine with ℓ Neurocomputing Sihang Zhou, Xinwang Liu, Qiang Liu, Siqi Wang, Chengzhang Zhu, Jianping Yin
2015	J	`jnl`	A Computational Model of the Short-Cut Rule for 2D Shape Decomposition. IEEE Trans. Image Process. Lei Luo, Chunhua Shen, Xinwang Liu, Chunyuan Zhang
2015	A*	`conf`	Absent Multiple Kernel Learning. AAAI Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang
2015	J	`jnl`	An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction. Pattern Recognit. Xinwang Liu, Luping Zhou, Lei Wang, Jian Zhang, Jianping Yin, Dinggang Shen
2015	J	`jnl`	Multiple kernel extreme learning machine. Neurocomputing Xinwang Liu, Lei Wang, Guang-Bin Huang, Jian Zhang, Jianping Yin
2014	J	`jnl`	A Computational Model of the Short-Cut Rule for 2D Shape Decomposition. CoRR Lei Luo, Chunhua Shen, Xinwang Liu, Chunyuan Zhang
2014	B	`conf`	A Method of Discriminative Information Preservation and In-Dimension Distance Minimization Method for Feature Selection. ICPR Shangrong Huang, Jian Zhang, Xinwang Liu, Lei Wang
2014	B	`conf`	A binary feature selection framework in kernel spaces. IJCNN Chengzhang Zhu, Xinwang Liu, Sihang Zhou, Qiang Liu, Jianping Yin
2014	J	`jnl`	Global and Local Structure Preservation for Feature Selection. IEEE Trans. Neural Networks Learn. Syst. Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin, Huan Liu
2014	B	`conf`	Multiple Kernel Learning Based Multi-view Spectral Clustering. ICPR Dongyan Guo, Jian Zhang, Xinwang Liu, Ying Cui, Chunxia Zhao
2014	B	`conf`	On Radius-Incorporated Multiple Kernel Learning. MDAI Xinwang Liu, Jianping Yin, Jun Long
2014	A*	`conf`	Sample-Adaptive Multiple Kernel Learning. AAAI Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin
2014	B	`conf`	Spectral clustering-based local and global structure preservation for feature selection. IJCNN Sihang Zhou, Xinwang Liu, Chengzhang Zhu, Qiang Liu, Jianping Yin
2013	J	`jnl`	An Adaptive Approach to Learning Optimal Neighborhood Kernels. IEEE Trans. Cybern. Xinwang Liu, Jianping Yin, Lei Wang, Lingqiao Liu, Jun Liu, Chenping Hou, Jian Zhang
2013	J	`jnl`	An Efficient Approach to Integrating Radius Information into Multiple Kernel Learning. IEEE Trans. Cybern. Xinwang Liu, Lei Wang, Jianping Yin, En Zhu, Jian Zhang
2013	J	`jnl`	Large Margin Subspace Learning for feature selection. Pattern Recognit. Bo Liu, Bin Fang, Xinwang Liu, Jie Chen, Zhenghong Huang, Xiping He
2013	J	`jnl`	Nonlinear discriminant clustering based on spectral regularization. Neural Comput. Appl. Yubin Zhan, Jianping Yin, Xinwang Liu
2012	J	`jnl`	Incorporation of radius-info can be simple with SimpleMKL. Neurocomputing Xinwang Liu, Lei Wang, Jianping Yin, Lingqiao Liu
2011	A*	`conf`	In defense of soft-assignment coding. ICCV Lingqiao Liu, Lei Wang, Xinwang Liu
2009	—	`conf`	A Large Margin Classifier with Additional Features. MLDM Xinwang Liu, Jianping Yin, En Zhu, Guomin Zhang, Yubin Zhan, Miaomiao Li
2009	Misc	`conf`	A Max-Margin Learning Algorithm with Additional Features. FAW Xinwang Liu, Jianping Yin, En Zhu, Yubin Zhan, Miaomiao Li, Changwang Zhang
2009	—	`conf`	Adaptive Neighborhood Select Based on Local Linearity for Nonlinear Dimensionality Reduction. ISICA Yubin Zhan, Jianping Yin, Xinwang Liu, Guomin Zhang
2008	Misc	`conf`	An Incremental Feature Learning Algorithm Based on Least Square Support Vector Machine. FAW Xinwang Liu, Guomin Zhang, Yubin Zhan, En Zhu