Predictive Analysis Method Based on Railway Ticket Data Warehouse. - Guoqiang Cai; Yangdong Ye; Xiaoyan Lv; Limin Jia 002 (IKE, 2004)

Analysis of Temporal Uncertainty of Trains Converging Based on Fuzzy Time Petri Nets. - Yangdong Ye; Juan Wang; Limin Jia 002 (FSKD (1), 2005)

Research on train group operation model in RITS. - Yangdong Ye; Zundong Zhang; Limin Jia 002; Honghua Dai 001 (ISADS, 2005)

A Study of Train Group Operation Multi-agent Model Oriented to RITS. - Yangdong Ye; Zundong Zhang; Honghua Dai 001; Limin Jia 002 (KES (1), 2005)

Research on Software Requirement Analysis Method Based on Five-Key Elements Arrange. - Wei Fu; Guoqiang Cai; Limin Jia 002; Yangdong Ye; Ye Zhang (Software Engineering Research and Practice, 2005)

Finding the Optimal Cardinality Value for Information Bottleneck Method. - Gang Li 009; Dong Liu; Yiqing Tu; Yangdong Ye (ADMA, 2006)

Abnormal Behavior Detection for Early Warning of Terrorist Attack. - Xin Geng 001; Gang Li 009; Yangdong Ye; Yiqing Tu; Honghua Dai 001 (Australian Conference on Artificial Intelligence, 2006)

A multi-agent model of railway intelligent safety guarantee system. - Guoqiang Cai; Zundong Zhang; Limin Jia 002; Yangdong Ye (Computational Intelligence, 2006)

Determine the Optimal Parameter for Information Bottleneck Method. - Gang Li 009; Dong Liu; Yangdong Ye; Jia Rong (PRICAI, 2006)

Uncertain Temporal Knowledge Reasoning of Train Group Operation Based on Extended Fuzzy-Timing Petri Nets. - Yangdong Ye; Hongxing Lu; Junxia Ma; Limin Jia 002 (ICFIE, 2007)

The Density Connectivity Information Bottleneck. - Yongli Ren; Yangdong Ye; Gang Li 009 (ICYCS, 2008)

Approach of Train Group Operation Conflict Prevention Reasoning Based on Fuzzy Time Petri Nets. - Guoqiang Cai; Shimin Zhao; Limin Jia 002; Yangdong Ye; Xi Li (NCM (2), 2008)

The Density-Based Agglomerative Information Bottleneck. - Yongli Ren; Yangdong Ye; Gang Li 009 (PRICAI, 2008)

Unsupervised object category discovery via information bottleneck method. - Zhengzheng Lou; Yangdong Ye; Dong Liu (ACM Multimedia, 2010)

Moving-Target Pursuit Algorithm Using Improved Tracking Strategy. - Mingliang Xu; Zhigeng Pan; Hongxing Lu; Yangdong Ye; Pei Lv; Abdennour El Rhalibi (IEEE Trans. Comput. Intell. AI Games, 2010)

Transfer active learning. - Zhenfeng Zhu; Xingquan Zhu 001; Yangdong Ye; Yue-Fei Guo; Xiangyang Xue 001 (CIKM, 2011)

Developing a feature weight self-adjustment mechanism for the CD-sIB algorithm. - Bo Ji 002; Yangdong Ye (FSKD, 2011)

Image segmentation via IB method. - Nan Wu; Yangdong Ye; Zhengzheng Lou (FSKD, 2011)

Using local density information to improve IB algorithms. - Yangdong Ye; Yongli Ren; Gang Li 009 (Pattern Recognit. Lett., 2011)

Iterative sIB algorithm. - Huaqiang Yuan; Yangdong Ye (Pattern Recognit. Lett., 2011)

Parallel proximal support vector machine for high-dimensional pattern classification. - Zhenfeng Zhu; Xingquan Zhu 001; Yangdong Ye; Yue-Fei Guo; Xiangyang Xue 001 (CIKM, 2012)

Fault diagnosis via fuzzy time analysis. - Wei She; Yangdong Ye (FUZZ-IEEE, 2012)

PPN: A probabilistic model for fault detection and diagnosis. - Wei She; Yangdong Ye (ISDA, 2012)

Smooth and efficient crowd transformation. - Mingliang Xu 001; Yunpeng Wu; Yangdong Ye (ACM Multimedia, 2012)

Information Bottleneck with Local Consistency. - Zhengzheng Lou; Yangdong Ye; Zhenfeng Zhu (PRICAI, 2012)

Inverse matrix-free incremental proximal support vector machine. - Zhenfeng Zhu; Xingquan Zhu 001; Yue-Fei Guo; Yangdong Ye; Xiangyang Xue 001 (Decis. Support Syst., 2012)

The Multi-Feature Information Bottleneck with Application to Unsupervised Image Categorization. - Zhengzheng Lou; Yangdong Ye; Xiaoqiang Yan (IJCAI, 2013)

Mutual information evaluation: A way to predict the performance of feature weighting on clustering. - Bo Ji 002; Yangdong Ye; Yu Xiao (Intell. Data Anal., 2013)

Character Behavior Planning and Visual Simulation in Virtual 3D Space. - Mingliang Xu 001; Zhigeng Pan; Mingmin Zhang; Pei Lv; Pengyu Zhu; Yangdong Ye; Wei Song (IEEE Multim., 2013)

Dynamic threshold model based probabilistic latent semantic analysis. - Yiming Wang; Yangdong Ye; Zhenfeng Zhu (FSKD, 2014)

A Combination Weighting Algorithm using Relative Entropy for Document Clustering. - Bo Ji 002; Yangdong Ye; Yu Xiao (Int. J. Pattern Recognit. Artif. Intell., 2014)

Analysis of real-time system conflict based on fuzzy time Petri nets. - Zhao Tian; Zundong Zhang; Yangdong Ye; Limin Jia 002 (J. Intell. Fuzzy Syst., 2014)

AA-FVDM: An accident-avoidance full velocity difference model for animating realistic street-level traffic in rural scenes. - Xuequan Lu; Wenzhi Chen; Mingliang Xu; Zonghui Wang; Zhigang Deng 001; Yangdong Ye (Comput. Animat. Virtual Worlds, 2014)

Transformer Fault Diagnosis Algorithm Based on Entropy-Weighting Information Bottleneck Method. - Hongxing Lu; Yangdong Ye; Gang Chen (CyberC, 2015)

Empirical studies on Symbolic Aggregation approximation under statistical perspectives for knowledge discovery in time series. - Wei Song; Zhiguang Wang; Yangdong Ye; Ming Fan (FSKD, 2015)

Coherent Motion Detection with Collective Density Clustering. - Yunpeng Wu; Yangdong Ye; Chenyang Zhao (ACM Multimedia, 2015)

Collective Crowd Formation Transform with Mutual Information-Based Runtime Feedback. - Mingliang Xu; Yunpeng Wu; Yangdong Ye; Illés J. Farkas; Hao Jiang 013; Zhigang Deng 001 (Comput. Graph. Forum, 2015)

Instance-based ensemble pruning for imbalanced learning. - Weimei Zhi; Huaping Guo; Ming Fan; Yangdong Ye (Intell. Data Anal., 2015)

miSFM: On combination of Mutual Information and Social Force Model towards simulating crowd evacuation. - Mingliang Xu; Yunpeng Wu; Pei Lv; Hao Jiang 013; Mingxuan Luo; Yangdong Ye (Neurocomputing, 2015)

一种基于TF-HBPN的复杂系统行为分析方法 (Method of Behavior Analysis for Complex System Based on Hierarchical Bayesian Petri Net with Time Factor). - Qian Chen; Wei She; Yangdong Ye (计算机科学, 2015)

Unsupervised video categorization based on multivariate information bottleneck method. - Xiaoqiang Yan; Yangdong Ye; Zhengzheng Lou (Knowl. Based Syst., 2015)

Incorporating side information into multivariate Information Bottleneck for generating alternative clusterings. - Yangdong Ye; Ruina Liu; Zhengzheng Lou (Pattern Recognit. Lett., 2015)

Unsupervised Human Action Categorization with Consensus Information Bottleneck Method. - Xiaoqiang Yan; Yangdong Ye; Xueying Qiu (IJCAI, 2016)

Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization. - Zhiguang Wang; Wei Song; Lu Liu; Fan Zhang; Junxiao Xue; Yangdong Ye; Ming Fan; Mingliang Xu 001 (CoRR, 2016)

一种面向非平衡数据的多簇IB算法 (Multi-clusters IB Algorithm for Imbalanced Data Set). - Peng Jiang; Yangdong Ye; Zhengzheng Lou (计算机科学, 2016)

Robust natural image segmentation by using spatially constrained multivariate mixed Student's t-distribution and TV flow edge. - Yong Yang; Ling Guo; Yangdong Ye (J. Vis. Commun. Image Represent., 2016)

Rank-based pooling for deep convolutional neural networks. - Zenglin Shi; Yangdong Ye; Yunpeng Wu (Neural Networks, 2016)

Multi-task Clustering of Human Actions by Sharing Information. - Xiaoqiang Yan; Shizhe Hu; Yangdong Ye (CVPR, 2017)

Empirical study of symbolic aggregate approximation for time series classification. - Wei Song; Zhiguang Wang; Fan Zhang; Yangdong Ye; Ming Fan (Intell. Data Anal., 2017)

Crowd Counting With Deep Negative Correlation Learning. - Zenglin Shi; Le Zhang 001; Yun Liu 011; Xiaofeng Cao; Yangdong Ye; Ming-Ming Cheng; Guoyan Zheng (CVPR, 2018)

基于卷积特征的非平衡人群密度估计方法 (Unbalanced Crowd Density Estimation Based on Convolutional Features). - Jia Qu; Zenglin Shi; Yangdong Ye (计算机科学, 2018)

Multiscale Multitask Deep NetVLAD for Crowd Counting. - Zenglin Shi; Le Zhang 001; Yibo Sun; Yangdong Ye (IEEE Trans. Ind. Informatics, 2018)

Collective Density Clustering for Coherent Motion Detection. - Yunpeng Wu; Yangdong Ye; Chenyang Zhao; Zenglin Shi (IEEE Trans. Multim., 2018)

Shared-Private Information Bottleneck Method for Cross-Modal Clustering. - Xiaoqiang Yan; Yangdong Ye; Yiqiao Mao; Hui Yu 001 (IEEE Access, 2019)

Loop Closure Detection Via Maximization of Mutual Information. - Ge Zhang 008; Xiaoqiang Yan; Yangdong Ye (IEEE Access, 2019)

APL: Adversarial Pairwise Learning for Recommender Systems. - Zhongchuan Sun; Bin Wu 019; Yunpeng Wu; Yangdong Ye (Expert Syst. Appl., 2019)

Visual appearance or functional complementarity: Which aspect affects your decision making? - Bin Wu 019; Yangdong Ye; Yun Chen (Inf. Sci., 2019)

A fast two-objective differential evolution for the two-objective coverage problem of WSNs. - Yulong Xu; Yangdong Ye; Han Zhang 044; Wenbing Zhang; Yali Lv (Memetic Comput., 2019)

SWE: a novel method with semantic-weighted edge for measuring gene functional similarity. - Zhen Tian; Haichuan Fang; Yangdong Ye; Zhenfeng Zhu (BIBM, 2020)

Content Vs Context: How About "Walking Hand-In-Hand" For Image Clustering? - Shizhe Hu; Zhenquan Hou; Zhengzheng Lou; Yangdong Ye (ICASSP, 2020)

Heterogeneous Dual-Task Clustering with Visual-Textual Information. - Xiaoqiang Yan; Yiqiao Mao; Shizhe Hu; Yangdong Ye (SDM, 2020)

An Information Maximization Multi-task Clustering Method for egocentric temporal segmentation. - Mingming Zhang; Xiaoqiang Yan; Shizhe Hu; Yangdong Ye (Appl. Soft Comput., 2020)

DSPNet: Deep scale purifier network for dense crowd counting. - Xin Zeng; Yunpeng Wu; Shizhe Hu; Ruobin Wang; Yangdong Ye (Expert Syst. Appl., 2020)

Aspect terms grouping via fusing concepts and context information. - Shufeng Xiong; Ming Cheng; Vishwash Batra; Tao Qian 002; Bingkun Wang; Yangdong Ye (Inf. Fusion, 2020)

Synergetic information bottleneck for joint multi-view and ensemble clustering. - Xiaoqiang Yan; Yangdong Ye; Xueying Qiu; Hui Yu 001 (Inf. Fusion, 2020)

Joint specific and correlated information exploration for multi-view action clustering. - Shizhe Hu; Xiaoqiang Yan; Yangdong Ye (Inf. Sci., 2020)

BSPR: Basket-sensitive personalized ranking for product recommendation. - Bin Wu 019; Yangdong Ye (Inf. Sci., 2020)

Multi-granularity environment perception based on octree occupancy grid. - Ge Zhang 008; Bin Wu 019; Yulong Xu; Yangdong Ye (Multim. Tools Appl., 2020)

Dynamic auto-weighted multi-view co-clustering. - Shizhe Hu; Xiaoqiang Yan; Yangdong Ye (Pattern Recognit., 2020)

A Joint Symbol-Detection, Channel-Estimation and Decoding Scheme under Few-Bit ADCs in mmWave Communications. - Peng Sun 002; Fei Liu; Jianhua Cui; Wei Wang 151; Yangdong Ye; Zhongyong Wang (Sensors, 2020)

ATM: An Attentive Translation Model for Next-Item Recommendation. - Bin Wu 019; Xiangnan He 001; Zhongchuan Sun; Liang Chen 001; Yangdong Ye (IEEE Trans. Ind. Informatics, 2020)

CMIB: Unsupervised Image Object Categorization in Multiple Visual Contexts. - Xiaoqiang Yan; Yangdong Ye; Xueying Qiu; Milos Manic; Hui Yu 001 (IEEE Trans. Ind. Informatics, 2020)

Multi-task Information Bottleneck Co-clustering for Unsupervised Cross-view Human Action Categorization. - Xiaoqiang Yan; Zhengzheng Lou; Shizhe Hu; Yangdong Ye (ACM Trans. Knowl. Discov. Data, 2020)

Deep Mutual Information Maximin for Cross-Modal Clustering. - Yiqiao Mao; Xiaoqiang Yan; Qiang Guo 012; Yangdong Ye (AAAI, 2021)

Interactive information bottleneck for high-dimensional co-occurrence data clustering. - Shizhe Hu; Ruobin Wang; Yangdong Ye (Appl. Soft Comput., 2021)

Multi-view content-context information bottleneck for image clustering. - Shizhe Hu; Bo Wang; Zhengzheng Lou; Yangdong Ye (Expert Syst. Appl., 2021)

Neural guided visual slam system with Laplacian of Gaussian operator. - Ge Zhang 008; Xiaoqiang Yan; Yulong Xu; Yangdong Ye (IET Comput. Vis., 2021)

Deep multi-view learning methods: A review. - Xiaoqiang Yan; Shizhe Hu; Yiqiao Mao; Yangdong Ye; Hui Yu 001 (Neurocomputing, 2021)

Learning a deep network with cross-hierarchy aggregation for crowd counting. - Qiang Guo 012; Xin Zeng; Shizhe Hu; Sonephet Phoummixay; Yangdong Ye (Knowl. Based Syst., 2021)

Semantic Loop Closure Detection With Instance-Level Inconsistency Removal in Dynamic Industrial Scenes. - Haosheng Chen 001; Ge Zhang 008; Yangdong Ye (IEEE Trans. Ind. Informatics, 2021)

Multi-Task Image Clustering through Correlation Propagation. - Shizhe Hu; Xiaoqiang Yan; Yangdong Ye (IEEE Trans. Knowl. Data Eng., 2021)

Crowd Counting Using Scale Enhanced Network with Dual Attention Booster. - Xin Zeng; Shizhe Hu; Qiang Guo 012; Yunpeng Wu; Yangdong Ye (ACAI, 2022)

A Novel Method for Constructing Knowledge Graph of Railway Safety Risk. - Ying Wang 109; Youwei Wang; Yangdong Ye (CSAE, 2022)

A Parameter-free Multi-view Information Bottleneck Clustering Method by Cross-view Weighting. - Shizhe Hu; Ruilin Geng; Zhaoxu Cheng; Chaoyang Zhang; Guoliang Zou; Zhengzheng Lou; Yangdong Ye (ACM Multimedia, 2022)

MHADTI: predicting drug-target interactions via multiview heterogeneous information network embedding with hierarchical attention mechanisms. - Zhen Tian; Xiangyu Peng; Haichuan Fang; Wenjie Zhang; Qiguo Dai; Yangdong Ye (Briefings Bioinform., 2022)

A novel gene functional similarity calculation model by utilizing the specificity of terms and relationships in gene ontology. - Zhen Tian; Haichuan Fang; Yangdong Ye; Zhenfeng Zhu (BMC Bioinform., 2022)

Deep correlation mining for multi-task image clustering. - Xiaoqiang Yan; Kaiyuan Shi; Yangdong Ye; Hui Yu 001 (Expert Syst. Appl., 2022)

EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things. - Bin Wu 019; Lihong Zhong; Lina Yao 001; Yangdong Ye (IEEE Internet Things J., 2022)

Sequential graph collaborative filtering. - Zhongchuan Sun; Bin Wu 019; Youwei Wang; Yangdong Ye (Inf. Sci., 2022)

Explanation guided cross-modal social image clustering. - Xiaoqiang Yan; Yiqiao Mao; Yangdong Ye; Hui Yu 001; Fei-Yue Wang 001 (Inf. Sci., 2022)

Efficient complementary graph convolutional network without negative sampling for item recommendation. - Bin Wu 019; Lihong Zhong; Hui Li; Yangdong Ye (Knowl. Based Syst., 2022)

Gating augmented capsule network for sequential recommendation. - Qi Zhang 071; Bin Wu 019; Zhongchuan Sun; Yangdong Ye (Knowl. Based Syst., 2022)

DMIB: Dual-Correlated Multivariate Information Bottleneck for Multiview Clustering. - Shizhe Hu; Zenglin Shi; Yangdong Ye (IEEE Trans. Cybern., 2022)

View-Wise Versus Cluster-Wise Weight: Which Is Better for Multi-View Clustering? - Shizhe Hu; Zhengzheng Lou; Yangdong Ye (IEEE Trans. Image Process., 2022)

Modeling Product's Visual and Functional Characteristics for Recommender Systems. - Bin Wu 019; Xiangnan He 001; Yun Chen; Liqiang Nie; Kai Zheng 001; Yangdong Ye (IEEE Trans. Knowl. Data Eng., 2022)

Dynamic Scenes Dataset. - Haosheng Chen 001; Ge Zhang 008; Yangdong Ye (IEEE DataPort, 2022)

Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract). - Bin Wu 019; Xiangnan He 001; Yu Chen 022; Liqiang Nie; Kai Zheng 001; Yangdong Ye (ICDE, 2023)

Learning knowledge graph embedding with a dual-attention embedding network. - Haichuan Fang; Youwei Wang; Zhen Tian; Yangdong Ye (Expert Syst. Appl., 2023)

Multi-view graph neural network with cascaded attention for lncRNA-miRNA interaction prediction. - Hui Li; Bin Wu 019; Miaomiao Sun; Yangdong Ye; Zhenfeng Zhu; Kuisheng Chen (Knowl. Based Syst., 2023)

GOGCN: Graph Convolutional Network on Gene Ontology for Functional Similarity Analysis of Genes. - Zhen Tian; Haichuan Fang; Zhixia Teng; Yangdong Ye (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Learning From the Future: Light Cone Modeling for Sequential Recommendation. - Zhongchuan Sun; Bin Wu 019; Yifan Chen; Yangdong Ye (IEEE Trans. Cybern., 2023)

Joint contrastive triple-learning for deep multi-view clustering. - Shizhe Hu; Guoliang Zou; Chaoyang Zhang; Zhengzheng Lou; Ruilin Geng; Yangdong Ye (Inf. Process. Manag., 2023)

Attentive Adversarial Collaborative Filtering. - Zhongchuan Sun; Bin Wu 019; Shizhe Hu; Mingming Zhang; Yangdong Ye (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation. - Bin Wu 019; Xiangnan He 001; Le Wu; Xue Zhang; Yangdong Ye (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Self-supervised temporal autoencoder for egocentric action segmentation. - Mingming Zhang; Dong Liu; Shizhe Hu; Xiaoqiang Yan; Zhongchuan Sun; Yangdong Ye (Eng. Appl. Artif. Intell., 2023)

Graph attentive matrix factorization for social recommendation. - Xue Zhang; Bin Wu; Yangdong Ye (Expert Syst. J. Knowl. Eng., 2023)

Mutual Boost Network for attributed graph clustering. - Xiaoqiang Yan; Xiangyu Yu; Shizhe Hu; Yangdong Ye (Expert Syst. Appl., 2023)

Deep purified feature mining model for joint named entity recognition and relation extraction. - Youwei Wang; Ying Wang; Zhongchuan Sun; Yinghao Li; Shizhe Hu; Yangdong Ye (Inf. Process. Manag., 2023)

Graph-coupled time interval network for sequential recommendation. - Bin Wu 019; Tianren Shi; Lihong Zhong; Yan Zhang 036; Yangdong Ye (Inf. Sci., 2023)

A Bottleneck Network with Light Attention for Multimodal Clustering. - Jiaming Liu; Yiqiao Mao; Zhen Huang; Yangdong Ye (Knowl. Based Syst., 2023)

Graph-Augmented Social Translation Model for Next-Item Recommendation. - Bin Wu 019; Lihong Zhong; Yangdong Ye (IEEE Trans. Ind. Informatics, 2023)

GCRec: Graph-Augmented Capsule Network for Next-Item Recommendation. - Bin Wu 019; Xiangnan He 001; Qi Zhang 071; Meng Wang 001; Yangdong Ye (IEEE Trans. Neural Networks Learn. Syst., 2023)

Live and Learn: Continual Action Clustering with Incremental Views. - Xiaoqiang Yan; Yingtao Gan; Yiqiao Mao; Yangdong Ye; Hui Yu 001 (AAAI, 2024)

Learning from the Future for Sequential Recommendation. - Zhongchuan Sun; Bin Wu 019; Yangdong Ye (ACM TUR-C, 2024)

Differentiable Information Bottleneck for Deterministic Multi-View Clustering. - Xiaoqiang Yan; Zhixiang Jin; Fengshou Han; Yangdong Ye (CVPR, 2024)

Self-supervised Weighted Information Bottleneck for Multi-view Clustering. - Zhengzheng Lou; Chaoyang Zhang; Hang Xue; Yangdong Ye; Qinglei Zhou; Shizhe Hu (IJCAI, 2024)

Learning Dual Enhanced Representation for Contrastive Multi-view Clustering. - Guoliang Zou; Yangdong Ye; Tongji Chen; Shizhe Hu (ACM Multimedia, 2024)

Memory-aware continual learning with multi-modal social media streams for unsupervised disaster classification. - Yiqiao Mao; Xiaoqiang Yan; Zirui Hu; Xuguang Zhang; Yangdong Ye; Hui Yu 001 (Adv. Eng. Informatics, 2024)

Group-aware graph neural networks for sequential recommendation. - Zhen Huang; Zhongchuan Sun; Jiaming Liu; Yangdong Ye (Inf. Sci., 2024)

Differentiable self-supervised clustering with intrinsic interpretability. - Xiaoqiang Yan; Zhixiang Jin; Yiqiao Mao; Yangdong Ye; Hui Yu 001 (Neural Networks, 2024)

Contrastive cross-modal clustering with twin network. - Yiqiao Mao; Xiaoqiang Yan; Shizhe Hu; Yangdong Ye (Pattern Recognit., 2024)

ConGMC: Consistency-Guided Multimodal Clustering via Mutual Information Maximin. - Yiqiao Mao; Xiaoqiang Yan; Jiaming Liu; Yangdong Ye (IEEE Trans. Multim., 2024)

Graph gating-mixer for sequential recommendation. - Bin Wu 019; Xun Su; Jing J. Liang; Zhongchuan Sun; Lihong Zhong; Yangdong Ye (Expert Syst. Appl., 2024)

Multitask Image Clustering via Deep Information Bottleneck. - Xiaoqiang Yan; Yiqiao Mao; Mingyuan Li; Yangdong Ye; Hui Yu 001 (IEEE Trans. Cybern., 2024)

Multiview Clustering With Propagating Information Bottleneck. - Shizhe Hu; Zenglin Shi; Xiaoqiang Yan; Zhengzheng Lou; Yangdong Ye (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Survey on Information Bottleneck. - Shizhe Hu; Zhengzheng Lou; Xiaoqiang Yan; Yangdong Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Cross-Modal Clustering With Deep Correlated Information Bottleneck Method. - Xiaoqiang Yan; Yiqiao Mao; Yangdong Ye; Hui Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering. - Shizhe Hu; Jiahao Fan; Guoliang Zou; Yangdong Ye (AAAI, 2025)

Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined. - Shizhe Hu; Binyan Tian; Weibo Liu; Yangdong Ye (AAAI, 2025)

Meta-collaboration-based semantic contrast for inductive knowledge representation learning. - Haichuan Fang; Kexin Cheng; Ruixin Zhang; Youwei Wang; Yangdong Ye (Expert Syst. Appl., 2025)

Knowledge-refined information bottleneck for contrastive recommendation. - Qiang Guo 012; Bin Wu 019; Zhongchuan Sun; Haichuan Fang; Yangdong Ye (Expert Syst. Appl., 2025)

Few-Shot Object Counting with frequency attention and multi-perception head. - Gaoxin Ma; Xingquan Zhu 001; Zhen Tian; Yangdong Ye; Zhenfeng Zhu (Neurocomputing, 2025)

DCIB: Dual contrastive information bottleneck for knowledge-aware recommendation. - Qiang Guo 012; Jialong Hai; Zhongchuan Sun; Bin Wu 019; Yangdong Ye (Inf. Process. Manag., 2025)

Dual global information guidance for deep contrastive multi-modal clustering. - Guoliang Zou; Shizhe Hu; Tongji Chen; Yunpeng Wu; Yangdong Ye (Inf. Sci., 2025)

ProNet: A contrastive propagation network for multimodal lifelong clustering. - Yiqiao Mao; Zirui Hu; Qiang Guo 012; Xiaoqiang Yan; Yangdong Ye (Knowl. Based Syst., 2025)

Span-aware pre-trained network with deep information bottleneck for scientific entity relation extraction. - Youwei Wang; Peisong Cao; Haichuan Fang; Yangdong Ye (Neural Networks, 2025)

Incremental Multiview Clustering With Continual Information Bottleneck Method. - Xiaoqiang Yan; Yiqiao Mao; Yangdong Ye; Hui Yu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Multimodal Nonredundant Clustering via Sufficiency Complementary Mining. - Yiqiao Mao; Xiaoqiang Yan; Qiang Guo 012; Yangdong Ye (IEEE Trans. Ind. Informatics, 2025)

Deep Multiview Clustering by Pseudo-Label Guided Contrastive Learning and Dual Correlation Learning. - Shizhe Hu; Chengkun Zhang; Guoliang Zou; Zhengzheng Lou; Yangdong Ye (IEEE Trans. Neural Networks Learn. Syst., 2025)