Main Journal Papers

主要英文期刊论文

Stop Pushing Friends Away: Trustworthy Hybrid Contrastive Multi-modal Clustering.

Guoliang Zou, Shizhe Hu, Tongji Chen, Yangdong Ye
Information Fusion, Accepted, Jun. 2026.

Reliable Continual Multi-modal Clustering.

Guoliang Zou, Shizhe Hu, Sijia Li, Yuyang Du, Tongji Chen, Yangdong Ye
Pattern Recognition, 114527, 2026.

Contrastive Variational Graph Symmetric Autoencoder for Full Extrapolation Over Temporal Knowledge Graphs.

Haichuan Fang, Zhen Tian, Youwei Wang, Bo Ji, Yangdong Ye
IEEE Trans. Syst. Man Cybern. Syst. 56(7): 4097-4112 (2026)

Hyperbolic Adversarial Variational Embedding for item recommendation.

Zhongchuan Sun, Liming Chen, Youwei Wang, Mingming Zhang, Yangdong Ye
Eng. Appl. Artif. Intell. 164: 113198 (2026)

Cross-modal information propagation for contrastive multi-modal clustering.

Tongji Chen, Guoliang Zou, Shizhe Hu, Yangdong Ye
Information Processing & Management. 63(4): 104595 (2026)

Adversarial contrastive collaborative filtering.

Bin Wu, Bo Zhang, Ruiwen Fan, Yangdong Ye
Knowl. Based Syst. 339: 115450 (2026)

EGCL: An Effective and Efficient Graph Contrastive Learning Framework for Social Recommendation.

Bin Wu, Bo Zhang, Yihao Tian, Chenliang Li, Jing J. Liang, Yangdong Ye
ACM Trans. Inf. Syst. 44(3): 58:1-58:30 (2026)

Span-aware pre-trained network with deep information bottleneck for scientific entity relation extraction.

Youwei Wang, Peisong Cao, Haichuan Fang, and Yangdong Ye
Neural Networks. 107250 (2025)

DCIB: Dual contrastive information bottleneck for knowledge-aware recommendation.

Qiang Guo, Jialong Hai, Zhongchuan Sun, Bin Wu, and Yangdong Ye
Information Processing & Management. 62(3): 103980 (2025)

Meta-collaboration-based semantic contrast for inductive knowledge representation learning.

Haichuan Fang, Kexin Cheng, Ruixin Zhang, Youwei Wang, and Yangdong Ye
Expert Systems with Applications. 261: 125421 (2025)

Knowledge-refined information bottleneck for contrastive recommendation.

Qiang Guo, Bin Wu, Zhongchuan Sun, Haichuan Fang, Yangdong Ye
Expert Syst. Appl. 294: 128673 (2025)

Few-Shot Object Counting with frequency attention and multi-perception head.

Gaoxin Ma, Xingquan Zhu, Zhen Tian, Yangdong Ye, Zhenfeng Zhu
Neurocomputing 648: 130598 (2025)

Dual global information guidance for deep contrastive multi-modal clustering.

Guoliang Zou, Shizhe Hu, Tongji Chen, Yunpeng Wu, Yangdong Ye
Inf. Sci. 712: 122158 (2025)

ProNet: A contrastive propagation network for multimodal lifelong clustering.

Yiqiao Mao, Zirui Hu, Qiang Guo, Xiaoqiang Yan, Yangdong Ye
Knowl. Based Syst. 317: 113349 (2025)

Disentangled Graph Contrastive Learning for Socially-Aware Next-Item Recommendation.

Bin Wu, Xun Su, Long Chen, Jing Liang, Yangdong Ye
IEEE Trans. Big Data 11(6): 3197-3211 (2025)

Multimodal Nonredundant Clustering via Sufficiency Complementary Mining.

Yiqiao Mao, Xiaoqiang Yan, Qiang Guo, Yangdong Ye
IEEE Trans. Ind. Informatics 21(2): 1872-1881 (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. 36(2): 3646-3658 (2025)

Multiview Clustering With Propagating Information Bottleneck.

Shizhe Hu, Zenglin Shi, Xiaoqiang Yan, Zhengzheng Lou, Yangdong Ye
IEEE Trans. Neural Networks Learn. Syst. 35(7): 9915-9929 (2024)

Incremental Multiview Clustering With Continual Information Bottleneck Method.

Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, and Hui Yu
IEEE Transactions on Systems, Man, and Cybernetics: Systems. (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, and Hui Yu
Advanced Engineering Informatics. 62: 102654 (2024)

Contrastive cross-modal clustering with twin network.

Yiqiao Mao, Xiaoqiang Yan, Shizhe Hu, and Yangdong Ye
Pattern Recognition. 110645 (2024)

Group-aware graph neural networks for sequential recommendation.

Zhen Huang, Zhongchuan Sun, Jiaming Liu, and Yangdong Ye
Information Sciences. 670: 120623 (2024)

Differentiable self-supervised clustering with intrinsic interpretability.

Xiaoqiang Yan, Zhixiang Jin, Yiqiao Mao, Yangdong Ye, and Hui Yu
Neural Networks. 179: 106542 (2024)

Consistency-constrained RGB-T crowd counting via mutual information maximization.

Qiang Guo, Pengcheng Yuan, Xiangming Huang, and Yangdong Ye
Complex & Intelligent Systems. 1-22 (2024)

A Survey on Information Bottleneck.

Shizhe Hu, Zhengzheng Lou, Xiaoqiang Yan, and Yangdong Ye
IEEE Transactions on Pattern Analysis and Machine Intelligence. (2024)

Graph gating-mixer for sequential recommendation.

Bin Wu, Xun Su, Jing Liang, Zhongchuan Sun, Lihong Zhong, and Yangdong Ye
Expert Systems With Applications. 238: 122060 (2024)

Multitask Image Clustering via Deep Information Bottleneck.

Xiaoqiang Yan, Yiqiao Mao, Mingyuan Li, Yangdong Ye, Hui Yu
IEEE Trans. Cybern. 54(3): 1868-1881 (2024)

ConGMC: Consistency-Guided Multimodal Clustering via Mutual Information Maximin.

Yiqiao Mao, Xiaoqiang Yan, Jiaming Liu, and Yangdong Ye
IEEE Transactions on Multimedia. (2023)

Graph-augmented co-attention model for socio-sequential recommendation.

Bin Wu, Xiangnan He, Le Wu, Xue Zhang, and Yangdong Ye
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 53(7): 4039-4051 (2023)

Graph-augmented social translation model for next-item recommendation.

Bin Wu, Lihong Zhong, and Yangdong Ye
IEEE Transactions on Industrial Informatics. 19(11): 10913-10922 (2023)

Graph-coupled time interval network for sequential recommendation.

Bin Wu, Tianren Shi, Lihong Zhong, Yan Zhang, and Yangdong Ye
Information Sciences. 119510 (2023)

A Bottleneck Network with Light Attention for Multimodal Clustering.

Jiaming Liu, Yiqiao Mao, Zhen Huang, and Yangdong Ye
Knowledge-based Systems. 280:111037 (2023)

Deep Purified Feature Mining Model for Joint Named Entity Recognition and Relation Extraction.

Youwei Wang, Ying Wang, Zhongchuan Sun, Yinghao Li, Shizhe Hu, and Yangdong Ye
Information Processing & Management. 60(6): 103511 (2023)

Self-Supervised Temporal Autoencoder for Egocentric Action Segmentation.

Mingming Zhang, Dong liu, Shizhe Hu, Xiaoqiang Yan, Zhongchuan Sun, and Yangdong Ye
Engineering Applications of Artificial Intelligence. 126: 107092 (2023)

Cross-modal Clustering with Deep Correlated Information Bottleneck Method.

Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, and Hui Yu
IEEE Transactions on Neural Networks and Learning Systems. (2023)

A Domain Semantics-Enhanced Relation extraction Model for Identifying the Railway Safety Risk.

Youwei Wang, Chengying Zhu, Qiang Guo, and Yangdong Ye
Complex & Intelligent Systems. 1-15 (2023)

Attentive Adversarial Collaborative Filtering.

Zhongchuan Sun, Bin Wu, Shizhe Hu, Mingming Zhang, and Yangdong Ye
IEEE Transactions on Systems, Man, and Cybernetics: Systems. (2023)

Joint Contrastive Triple-learning for Deep Multi-view Clustering.

Shizhe Hu, Guoliang Zou, Chaoyang Zhang, Zhengzheng Lou, Ruilin Geng, and Yangdong Ye
Information Processing and Management. 60(3): 103284 (2023)

Mutual Boost Network for attributed graph clustering.

Xiaoqiang Yan, Xiangyu Yu, Shizhe Hu, and Yangdong Ye
Expert Systems with Applications. 229(Part A): 120479 (2023)

Learning knowledge graph embedding with a dual-attention embedding network.

Haichuan Fang, Youwei Wang, Zhen Tian, and Yangdong Ye
Expert Systems with Applications. 212: 118806 (2023)

Learning from the future: light cone modeling for sequential recommendation.

Zhongchuan Sun, Bin Wu, Yifan Chen, and Yangdong Ye
IEEE Transactions on Cybernetics. 52(8): 5358-5371 (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, and Yangdong Ye
Briefings in Bioinformatics. 23(6): bbac434 (2022)

Efficient complementary graph convolutional network without negative sampling for item recommendation.

Bin Wu, Lihong Zhong, Hui Li, and Yangdong Ye
Knowledge-based Systems. 256: 109758 (2022)

Gating Augmented Capsule Network for Sequential Recommendation.

Qi Zhang, Bin Wu, Zhongchuan Sun, and Yangdong Ye
Knowledge-based Systems. 247: 108817 (2022)

GCRec: Graph-Augmented Capsule Network for Next-Item Recommendation.

Bin Wu, Xiangnan He, Qi Zhang, Meng Wang, and Yangdong Ye
IEEE Transactions on Neural Networks and Learning Systems. 34(12): 10164-10177 (2022)

EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things.

Bin Wu, Lihong Zhong, Lina Yao, and Yangdong Ye
IEEE Internet of Things Journal. 9(17): 16386-16401 (2022)

Explanation Guided Cross-modal Social Image Clustering.

Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, Hui Yu, and Fei-Yue Wang
Information Sciences. 593: 1-16 (2022)

GOGCN: Graph Convolutional Network on Gene Ontology for Functional Similarity Analysis of Genes.

Zhen Tian, Haichuan Fang, Zhixia Teng, and Yangdong Ye
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(2): 1053-1064 (2022)

Sequential Graph Collaborative Filtering.

Zhongchuan Sun, Bin Wu, Youwei Wang, and Yangdong Ye
Information Sciences. 592: 244-260 (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, and Zhenfeng Zhu
BMC bioinformatics. 23(1): 1-14 (2022)

View-wise VS Cluster-wise Weight: Which Is Better for Multi-view Clustering?

Shizhe Hu, Zhengzheng Lou, and Yangdong Ye
IEEE Transactions on Image Processing. 31: 58-71 (2022)

Modeling Product’s Visual and Functional Characteristics for Recommender Systems.

Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng, and Yangdong Ye
IEEE Transactions on Knowledge and Data Engineering. 34(3): 1330-1343 (2022)

DMIB: Dual-correlated Multivariate Information Bottleneck for Multi-view Clustering.

Shizhe Hu, Zenglin Shi, and Yangdong Ye
IEEE Transactions on Cybernetics. 52(6): 4260-4274 (2022)

Deep Correlation Mining for Multi-task Image Clustering.

Xiaoqiang Yan, Kaiyuan Shi, Yangdong Ye, and Hui Yu
Expert Systems With Applications. 187: 115973 (2021)

Interactive Information Bottleneck for High-dimensional Co-occurrence Data Clustering.

Shizhe Hu, Ruobin Wang, and Yangdong Ye
Applied Soft Computing. 111: 107837 (2021)

Multi-view Content-Context Information Bottleneck for Image Clustering.

Shizhe Hu, Bo Wang, Zhengzheng Lou, and Yangdong Ye
Expert Systems With Applications. 183: 115374 (2021)

Deep Multi-view Learning Methods: A Review.

Xiaoqiang Yan, Shizhe Hu, Yiqiao Mao, Yangdong Ye, and Hui Yu
Neurocomputing. 448: 106-129 (2021)

Neural guided visual slam system with Laplacian of Gaussian operator.

Ge Zhang, Xiaoqiang Yan, Yulong Xu, and Yangdong Ye
IET Computer Vision. 15(3): 181-196 (2021)

Learning a Deep Network with Cross-hierarchy Aggregation for Crowd Counting.

Qiang Guo, Xin Zeng, Shizhe Hu, Sonephet Phoummixay, and Yangdong Ye
Knowledge-Based Systems. 213: 106691 (2021)

Semantic Loop Closure Detection with Instance-Level Inconsistency Removal in Dynamic Industrial Scenes.

Haosheng Chen, Ge Zhang, and Yangdong Ye
IEEE Transaction on Industrial Informatics. 17(3): 2030-2040 (2021)

Multi-granularity Environment Perception Based on Octree Occupancy Grid.

Ge Zhang, Bin Wu, Yulong Xu, and Yangdong Ye
Multimedia Tools and Applications. 79: 26765-26785 (2020)

BSPR: Basket-Sensitive Personalized Ranking for Product Recommendation.

Bin Wu, and Yangdong Ye
Information Sciences. 541: 185-206 (2020)

Aspect terms grouping via fusing concepts and context information.

Shufeng Xiong, Ming Cheng, Vishwash Batra, Tao Qian, Bingkun Wang, and Yangdong Ye
Information Fusion. 64: 12-19 (2020)

An Information Maximization Multi-task Clustering Method for Egocentric Temporal Segmentation.

Mingming Zhang, Xiaoqiang Yan, Shizhe Hu, and Yangdong Ye
Applied Soft Computing. 94: 106425 (2020)

Joint Specific and Correlated Information Exploration for Multi-view Action Clustering.

Shizhe Hu, Xiaoqiang Yan, and Yangdong Ye
Information Sciences. 524: 148-164 (2020)

ATM: An Attentive Translation Model for Next-Item Recommendation.

Bin Wu, Xiangnan He, Zhongchuan Sun, Liang Chen, and Yangdong Ye
IEEE Transaction on Industrial Informatics. 16(3): 1448-1459 (2020)

Synergetic Information Bottleneck for Joint Multi-view and Ensemble Clustering.

Xiaoqiang Yan, Yangdong Ye, Xueying Qiu, and Hui Yu
Information Fusion. 56: 15-27 (2020)

Dynamic Auto-weighted Multi-view Co-clustering.

Shizhe Hu, Xiaoqiang Yan, and Yangdong Ye
Pattern Recognition. 99: 107101 (2020)

Multi-task Information Bottleneck Co-clustering for Unsupervised Cross-view Human Action Categorization.

Xiaoqiang Yan, Zhengzheng Lou, Shizhe Hu, and Yangdong Ye
ACM Transactions on Knowledge Discovery from Data. 14(2): 1-23 (2020)

DSPNet: Deep Scale Purifier Network for Dense Crowd Counting.

Xin Zeng, Yunpeng Wu, Shizhe Hu, Ruobin Wang, and Yangdong Ye
Expert Systems With Applications. 141 (2020)

CMIB:Unsupervised Image Object Categorization in Multiple Visual Contexts.

Xiaoqiang Yan, Yangdong Ye, Xueying Qiu, Milos Manic, and Hui Yu
IEEE Transaction on Industrial Informatics. 16(6): 3974-3986 (2019)

Multi-task Image Clustering through Correlation Propagation.

Shizhe Hu, Xiaoqiang Yan, and Yangdong Ye
IEEE Transactions on Knowledge and Data Engineering. 33(3): 1113-1127 (2019)

Visual appearance or functional complementarity: which aspect affects your decision making?

Bin Wu, Yangdong Ye, and Yun Chen
Information Sciences. 476: 19-37 (2019)

APL:Adversarial pairwise learning for recommender systems.

Zhongchuan Sun, Bin Wu, Yunpeng Wu, and Yangdong Ye
Expert Systems With Applications. 118: 573-584 (2019)

A fast two-objective differential evolution for the two-objective coverage problem of WSNs.

Yulong Xu, Yangdong Ye, Han Zhang, Wenbing Zhang, and Yali Lv
Memetic Computing. 11(1): 89-107 (2019)

Multiscale Multitask Deep NetVLAD for Crowd Counting.

Zenglin Shi, Le Zhang, Yibo Sun, and Yangdong Ye
IEEE Transaction on Industrial Informatics. 14(11): 4953-4962 (2018)

Collective density clustering for coherent motion detection.

Yunpeng Wu, Yangdong Ye, Chenyang Zhao, and Zenglin Shi
IEEE Transactions on Multimedia. 20(6): 1418-1431 (2018)

Empirical study of symbolic aggregate approximation for time series classification.

Wei Song, Zhiguang Wang, Fan Zhang, Yangdong Ye, and Ming Fan
Intell. Data Anal. 21(1): 135-150 (2017)

Rank-based Pooling for Deep Convolutional Neural Networks.

Zenglin Shi, Yangdong Ye, and Yunpeng Wu
Neural Networks. 83: 21-31 (2016)

Robust natural image segmentation by using spatially constrained multivariate mixed Student’s t-distribution and TV flow edge.

Yong Yang, Ling Guo, and Yangdong Ye
Journal of Visual Communication and Image Representation. 40: 178-196 (2016)

Unsupervised video categorization based on multivariate information bottleneck method.

Xiaoqiang Yan, Yangdong Ye, and Zhengzheng Lou
Knowl.-Based Syst. 84: 34-45 (2015)

Incorporating side information into multivariate Information Bottleneck for generating alternative clusterings.

Yangdong Ye, Ruina Liu, and Zhengzheng Lou
Pattern Recognition Letters. 51: 70-78 (2015)

Collective Crowd Formation Transform with Mutual Information-Based Runtime Feedback.

Mingliang Xu, Yunpeng Wu, Yangdong Ye, Illes Farkas, Hao Jiang, and Zhigang Deng
Comput. Graph. Forum. 34(1): 60-73(2015)

Instance-based ensemble pruning for imbalanced learning.

Weimei Zhi, Huaping Guo, Ming Fan, and Yangdong Ye
Intell. Data Anal. 19(4): 779-794 (2015)

miSFM: On combination of Mutual Information and Social Force Model towards simulating crowd evacuation.

Mingliang Xu, Yunpeng Wu, Pei Lv, Hao Jiang, Mingxuan Luo, and Yangdong Ye
Neurocomputing. 168: 529-537 (2015)

A Combination Weighting Algorithm using Relative Entropy for Document Clustering.

Bo Ji, Yangdong Ye, and Yu Xiao
International Journal of Pattern Recognition and Artificial Intelligence. 28(03): 1453002 (2014)

Analysis of real-time system conflict based on fuzzy time Petri nets.

Zhao Tian, Zundong Zhang, Yangdong Ye, and Limin Jia
Journal of Intelligent and Fuzzy Systems. 26(2): 983-991 (2014)

Character Behavior Planning and Visual Simulation in Virtual 3D Space.

Mingliang Xu, Zhigeng Pan, Mingmin Zhang, Pei Lv, Pengyu Zhu, Yangdong Ye, and Wei Song
IEEE MultiMedia. 20(1): 49-59 (2013)

Mutual information evaluation: A way to predict the performance of feature weighting on clustering.

Bo Ji, Yangdong Ye, and Yu Xiao
Intell. Data Anal. 17(6): 1001-1021 (2013)

Inverse matrix-free incremental proximal support vector machine.

Zhenfeng Zhu, Xingquan Zhu, Yue-Fei Guo, Yangdong Ye>, and Xiangyang Xue
Decision Support Systems. 53(3): 395-405 (2012)

Using local density information to improve IB algorithms.

Yangdong Ye, Yongli Ren, and Gang Li
Pattern Recognition Letters. 32(2): 310-320 (2011)

Iterative sIB algorithm.

Huaqiang Yuan, and Yangdong Ye
Pattern Recognition Letters. 32(4): 606-614 (2011)

Moving-Target Pursuit Algorithm Using Improved Tracking Strategy.

Mingliang Xu, Zhigeng Pan, Hongxing Lu, Yangdong Ye, Pei Lv, and Abdennour El Rhalibi
IEEE Transactions on Computational Intelligence and AI in Games. 2(1): 27-39 (2010)

A Fingerprint feature extraction algorithm based on curvature of Bezier curve.

Huaqiang Yuan, Yangdong Ye, Jianguang Deng, Xiaoguang Chai, and Yong Li
Progress in Natural Science. 17(11): 1376-1381 (2007)
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