[Main Journal Papers]
Qiang Guo, Jialong Hai, Zhongchuan Sun, Bin Wu, and Yangdong Ye
DCIB: Dual contrastive information bottleneck for knowledge-aware recommendation.
Information Processing & Management. 62(3): 103980 (2025) [PDF]
Haichuan Fang, Kexin Cheng, Ruixin Zhang, Youwei Wang, and Yangdong Ye
Meta-collaboration-based semantic contrast for inductive knowledge representation learning.
Expert Systems with Applications. 261: 125421 (2025) [PDF]
Yiqiao Mao, Xiaoqiang Yan, Qiang Guo, and Yangdong Ye
Multimodal Nonredundant Clustering via Sufficiency Complementary Mining.
IEEE Transactions on Industrial Informatics. (2024) [PDF]
Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, and Hui Yu
Incremental Multiview Clustering With Continual Information Bottleneck Method.
IEEE Transactions on Systems, Man, and Cybernetics: Systems. (2024) [PDF]
Yiqiao Mao, Xiaoqiang Yan, Zirui Hu, Xuguang Zhang, Yangdong Ye, and Hui Yu
Memory-aware continual learning with multi-modal social media streams for unsupervised disaster classification.
Advanced Engineering Informatics. 62: 102654 (2024) [PDF]
Yiqiao Mao, Xiaoqiang Yan, Shizhe Hu, and Yangdong Ye
Contrastive cross-modal clustering with twin network.
Pattern Recognition. 110645 (2024) [PDF]
Zhen Huang, Zhongchuan Sun, Jiaming Liu, and Yangdong Ye
Group-aware graph neural networks for sequential recommendation.
Information Sciences. 670: 120623 (2024) [PDF]
Xiaoqiang Yan, Zhixiang Jin, Yiqiao Mao, Yangdong Ye, and Hui Yu
Differentiable self-supervised clustering with intrinsic interpretability.
Neural Networks. 179: 106542 (2024) [PDF]
Qiang Guo, Pengcheng Yuan, Xiangming Huang, and Yangdong Ye
Consistency-constrained RGB-T crowd counting via mutual information maximization.
Complex & Intelligent Systems. 1-22 (2024) [PDF]
Shizhe Hu, Zhengzheng Lou, Xiaoqiang Yan, and Yangdong Ye
A Survey on Information Bottleneck
IEEE Transactions on Pattern Analysis and Machine Intelligence. (2024) [PDF]
Shizhe Hu, Chengkun Zhang, Guoliang Zou, Zhengzheng Lou, and Yangdong Ye
Deep Multi-view Clustering by Pseudo-label Guided Contrastive Learning and Dual Correlation Learning.
IEEE Transactions on Neural Networks and Learning Systems. (2024) [PDF]
Bin Wu, Xun Su, Jing Liang, Zhongchuan Sun, Lihong Zhong, and Yangdong Ye
Graph gating-mixer for sequential recommendation.
Expert Systems With Applications. 238: 122060 (2024) [PDF]
Yiqiao Mao, Xiaoqiang Yan, Jiaming Liu, and Yangdong Ye
ConGMC: Consistency-Guided Multimodal Clustering via Mutual Information Maximin.
IEEE Transactions on Multimedia. (2023) [PDF]
Bin Wu, Xiangnan He, Le Wu, Xue Zhang, and Yangdong Ye
Graph-augmented co-attention model for socio-sequential recommendation.
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 53(7): 4039-4051 (2023) [PDF]
Bin Wu, Lihong Zhong, and Yangdong Ye
Graph-augmented social translation model for next-item recommendation.
IEEE Transactions on Industrial Informatics. 19(11): 10913-10922 (2023) [PDF]
Bin Wu, Tianren Shi, Lihong Zhong, Yan Zhang, and Yangdong Ye
Graph-coupled time interval network for sequential recommendation.
Information Sciences. 119510 (2023) [PDF]
Jiaming Liu, Yiqiao Mao, Zhen Huang, and Yangdong Ye
A Bottleneck Network with Light Attention for Multimodal Clustering.
Knowledge-based Systems. 280:111037 (2023) [PDF]
Youwei Wang, Ying Wang, Zhongchuan Sun, Yinghao Li, Shizhe Hu, and Yangdong Ye
Deep Purified Feature Mining Model for Joint Named Entity Recognition and Relation Extraction.
Information Processing & Management. 60(6): 103511 (2023) [PDF]
Mingming Zhang, Dong liu, Shizhe Hu, Xiaoqiang Yan, Zhongchuan Sun, and Yangdong Ye
Self-Supervised Temporal Autoencoder for Egocentric Action Segmentation.
Engineering Applications of Artificial Intelligence. 126: 107092 (2023) [PDF]
Xiaoqiang Yan, Yiqiao Mao, Mingyuan Li, Yangdong Ye, and Hui Yu
Multi-task Image Clustering via Deep Information Bottleneck.
IEEE Transactions on Cybernetics. 54(3): 1868-1881 (2023) [PDF]
Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, and Hui Yu
Cross-modal Clustering with Deep Correlated Information Bottleneck Method.
IEEE Transactions on Neural Networks and Learning Systems. (2023) [PDF]
Youwei Wang, Chengying Zhu, Qiang Guo, and Yangdong Ye
A Domain Semantics-Enhanced Relation extraction Model for Identifying the Railway Safety Risk.
Complex & Intelligent Systems. 1-15 (2023) [PDF]
Zhongchuan Sun, Bin Wu, Shizhe Hu, Mingming Zhang, and Yangdong Ye
Attentive Adversarial Collaborative Filtering.
IEEE Transactions on Systems, Man, and Cybernetics: Systems. (2023) [PDF]
Shizhe Hu, Guoliang Zou, Chaoyang Zhang, Zhengzheng Lou, Ruilin Geng, and Yangdong Ye
Joint Contrastive Triple-learning for Deep Multi-view Clustering.
Information Processing and Management. 60(3): 103284 (2023) [PDF]
Xiaoqiang Yan, Xiangyu Yu, Shizhe Hu, and Yangdong Ye
Mutual Boost Network for attributed graph clustering.
Expert Systems with Applications. 229(Part A): 120479 (2023) [PDF]
Shizhe Hu, Zenglin Shi, Xiaoqiang Yan, Zhengzheng Lou, and Yangdong Ye
Multi-view Clustering with Propagating Information Bottleneck.
IEEE Transactions on Neural Networks and Learning Systems. (2023) [PDF]
Haichuan Fang, Youwei Wang, Zhen Tian, and Yangdong Ye
Learning knowledge graph embedding with a dual-attention embedding network.
Expert Systems with Applications. 212: 118806 (2023) [PDF]
Zhongchuan Sun, Bin Wu, Yifan Chen, and Yangdong Ye
Learning from the future: light cone modeling for sequential recommendation.
IEEE Transactions on Cybernetics. 52(8): 5358-5371 (2022) [PDF]
Zhen Tian, Xiangyu Peng, Haichuan Fang, Wenjie Zhang, Qiguo Dai, and Yangdong Ye
Briefings in Bioinformatics. 23(6): bbac434 (2022) [PDF]
Bin Wu, Lihong Zhong, Hui Li, and Yangdong Ye
Efficient complementary graph convolutional network without negative sampling for item recommendation.
Knowledge-based Systems. 256: 109758 (2022) [PDF]
Qi Zhang, Bin Wu, Zhongchuan Sun, and Yangdong Ye
Gating Augmented Capsule Network for Sequential Recommendation.
Knowledge-based Systems. 247: 108817 (2022) [PDF]
Bin Wu, Xiangnan He, Qi Zhang, Meng Wang, and Yangdong Ye
GCRec: Graph-Augmented Capsule Network for Next-Item Recommendation.
IEEE Transactions on Neural Networks and Learning Systems. 34(12): 10164-10177 (2022) [PDF]
Bin Wu, Lihong Zhong, Lina Yao, and Yangdong Ye
EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things.
IEEE Internet of Things Journal. 9(17): 16386-16401 (2022) [PDF]
Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, Hui Yu, and Fei-Yue Wang
Explanation Guided Cross-modal Social Image Clustering.
Information Sciences. 593: 1-16 (2022) [PDF]
Zhen Tian, Haichuan Fang, Zhixia Teng, and Yangdong Ye
GOGCN: Graph Convolutional Network on Gene Ontology for Functional Similarity Analysis of Genes.
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(2): 1053-1064 (2022) [PDF]
Zhongchuan Sun, Bin Wu, Youwei Wang, and Yangdong Ye
Sequential Graph Collaborative Filtering.
Information Sciences. 592: 244-260 (2022) [PDF]
Zhen Tian, Haichuan Fang, Yangdong Ye, and Zhenfeng Zhu
A novel gene functional similarity calculation model by utilizing the specificity of terms and relationships in gene ontology.
BMC bioinformatics. 23(1): 1-14 (2022) [PDF]
Shizhe Hu, Zhengzheng Lou, and Yangdong Ye
View-wise VS Cluster-wise Weight: Which Is Better for Multi-view Clustering?
IEEE Transactions on Image Processing. 31: 58-71 (2022) [PDF]
Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng, and Yangdong Ye
Modeling Product’s Visual and Functional Characteristics for Recommender Systems.
IEEE Transactions on Knowledge and Data Engineering. 34(3): 1330-1343 (2022) [PDF]
Shizhe Hu, Zenglin Shi, and Yangdong Ye
DMIB: Dual-correlated Multivariate Information Bottleneck for Multi-view Clustering.
IEEE Transactions on Cybernetics. 52(6): 4260-4274 (2022) [PDF]
Xiaoqiang Yan, Kaiyuan Shi, Yangdong Ye, and Hui Yu
Deep Correlation Mining for Multi-task Image Clustering.
Expert Systems With Applications. 187: 115973 (2021) [PDF]
Shizhe Hu, Ruobin Wang, and Yangdong Ye
Interactive Information Bottleneck for High-dimensional Co-occurrence Data Clustering.
Applied Soft Computing. 111: 107837 (2021) [PDF]
Shizhe Hu, Bo Wang, Zhengzheng Lou, and Yangdong Ye
Multi-view Content-Context Information Bottleneck for Image Clustering.
Expert Systems With Applications. 183: 115374 (2021) [PDF]
Xiaoqiang Yan, Shizhe Hu, Yiqiao Mao, Yangdong Ye, and Hui Yu
Deep Multi-view Learning Methods: A Review.
Neurocomputing. 448: 106-129 (2021) [PDF]
Ge Zhang, Xiaoqiang Yan, Yulong Xu, and Yangdong Ye
Neural guided visual slam system with Laplacian of Gaussian operator.
IET Computer Vision. 15(3): 181-196 (2021) [PDF]
Qiang Guo, Xin Zeng, Shizhe Hu, Sonephet Phoummixay, and Yangdong Ye
Learning a Deep Network with Cross-hierarchy Aggregation for Crowd Counting.
Knowledge-Based Systems. 213: 106691 (2021) [PDF]
Ge Zhang, Bin Wu, Yulong Xu, and Yangdong Ye
Multi-granularity Environment Perception Based on Octree Occupancy Grid.
Multimedia Tools and Applications. 79: 26765-26785 (2020) [PDF]
Haosheng Chen, Ge Zhang, and Yangdong Ye
Semantic Loop Closure Detection with Instance-Level Inconsistency Removal in Dynamic Industrial Scenes.
IEEE Transaction on Industrial Informatics. 17(3): 2030-2040 (2021) [PDF]
Bin Wu, and Yangdong Ye
BSPR: Basket-Sensitive Personalized Ranking for Product Recommendation.
Information Sciences. 541: 185-206 (2020) [PDF]
Shufeng Xiong, Ming Cheng, Vishwash Batra, Tao Qian, Bingkun Wang, and Yangdong Ye
Aspect terms grouping via fusing concepts and context information.
Information Fusion. 64: 12-19 (2020) [PDF]
Mingming Zhang, Xiaoqiang Yan, Shizhe Hu, and Yangdong Ye
An Information Maximization Multi-task Clustering Method for Egocentric Temporal Segmentation.
Applied Soft Computing. 94: 106425 (2020) [PDF]
Shizhe Hu, Xiaoqiang Yan, and Yangdong Ye
Joint Specific and Correlated Information Exploration for Multi-view Action Clustering.
Information Sciences. 524: 148-164 (2020) [PDF]
Bin Wu, Xiangnan He, Zhongchuan Sun, Liang Chen, and Yangdong Ye
ATM: An Attentive Translation Model for Next-Item Recommendation.
IEEE Transaction on Industrial Informatics. 16(3): 1448-1459 (2020) [PDF]
Xiaoqiang Yan, Yangdong Ye, Xueying Qiu, and Hui Yu
Synergetic Information Bottleneck for Joint Multi-view and Ensemble Clustering.
Information Fusion. 56: 15-27 (2020) [PDF]
Shizhe Hu, Xiaoqiang Yan, and Yangdong Ye
Dynamic Auto-weighted Multi-view Co-clustering.
Pattern Recognition. 99: 107101 (2020) [PDF]
Xiaoqiang Yan, Zhengzheng Lou, Shizhe Hu, and Yangdong Ye
Multi-task Information Bottleneck Co-clustering for Unsupervised Cross-view Human Action Categorization.
ACM Transactions on Knowledge Discovery from Data. 14(2): 1-23 (2020) [PDF]
Xin Zeng, Yunpeng Wu, Shizhe Hu, Ruobin Wang, and Yangdong Ye
DSPNet: Deep Scale Purifier Network for Dense Crowd Counting.
Expert Systems With Applications. 141 (2020) [PDF]
Xiaoqiang Yan, Yangdong Ye, Xueying Qiu, Milos Manic, and Hui Yu
CMIB:Unsupervised Image Object Categorization in Multiple Visual Contexts.
IEEE Transaction on Industrial Informatics. 16(6): 3974-3986 (2019) [PDF]
Shizhe Hu, Xiaoqiang Yan, and Yangdong Ye
Multi-task Image Clustering through Correlation Propagation.
IEEE Transactions on Knowledge and Data Engineering. 33(3): 1113-1127 (2019) [PDF]
Bin Wu, Yangdong Ye, and Yun Chen
Visual appearance or functional complementarity: which aspect affects your decision making?
Information Sciences. 476: 19-37 (2019) [PDF]
Zhongchuan Sun, Bin Wu, Yunpeng Wu, and Yangdong Ye
APL:Adversarial pairwise learning for recommender systems.
Expert Systems With Applications. 118: 573-584 (2019) [PDF]
Yulong Xu, Yangdong Ye, Han Zhang, Wenbing Zhang, and Yali Lv
A fast two-objective differential evolution for the two-objective coverage problem of WSNs.
Memetic Computing. 11(1): 89-107 (2019) [PDF]
Zenglin Shi, Le Zhang, Yibo Sun, and Yangdong Ye
Multiscale Multitask Deep NetVLAD for Crowd Counting.
IEEE Transaction on Industrial Informatics. 14(11): 4953-4962 (2018) [PDF]
Yunpeng Wu, Yangdong Ye, Chenyang Zhao, and Zenglin Shi
Collective density clustering for coherent motion detection.
IEEE Transactions on Multimedia. 20(6): 1418-1431 (2018) [PDF]
Wei Song, Zhiguang Wang, Fan Zhang, Yangdong Ye, and Ming Fan
Empirical study of symbolic aggregate approximation for time series classification.
Intell. Data Anal. 21(1): 135-150 (2017) [PDF]
Zenglin Shi, Yangdong Ye, and Yunpeng Wu
Rank-based Pooling for Deep Convolutional Neural Networks.
Neural Networks. 83: 21-31 (2016) [PDF][CODES][GITHUB]
Yong Yang, Ling Guo, and Yangdong Ye
Robust natural image segmentation by using spatially constrained multivariate
mixed Student’s t-distribution and TV flow edge.
Journal of Visual Communication and Image Representation. 40: 178-196 (2016) [PDF]
Xiaoqiang Yan, Yangdong Ye, and Zhengzheng Lou
Unsupervised video categorization based on multivariate information bottleneck method.
Knowl.-Based Syst. 84: 34-45 (2015) [PDF]
Yangdong Ye, Ruina Liu, and Zhengzheng Lou
Incorporating side information into multivariate Information Bottleneck
for generating alternative clusterings.
Pattern Recognition Letters. 51: 70-78 (2015) [PDF]
Mingliang Xu, Yunpeng Wu, Yangdong Ye, Illes Farkas, Hao Jiang, and Zhigang Deng
Collective Crowd Formation Transform with Mutual Information-Based Runtime Feedback.
Comput. Graph. Forum. 34(1): 60-73(2015) [PDF]
Weimei Zhi, Huaping Guo, Ming Fan, and Yangdong Ye
Instance-based ensemble pruning for imbalanced learning.
Intell. Data Anal. 19(4): 779-794 (2015) [PDF]
Mingliang Xu, Yunpeng Wu, Pei Lv, Hao Jiang, Mingxuan Luo, and Yangdong Ye
miSFM: On combination of Mutual Information and Social Force Model
towards simulating crowd evacuation.
Neurocomputing. 168: 529-537 (2015) [PDF]
Bo Ji, Yangdong Ye, and Yu Xiao
A Combination Weighting Algorithm using Relative Entropy for Document Clustering.
International Journal of Pattern Recognition and Artificial Intelligence. 28(03): 1453002 (2014) [PDF]
Zhao Tian, Zundong Zhang, Yangdong Ye, and Limin Jia
Analysis of real-time system conflict based on fuzzy time Petri nets.
Journal of Intelligent and Fuzzy Systems. 26(2): 983-991 (2014) [PDF]
Mingliang Xu, Zhigeng Pan, Mingmin Zhang, Pei Lv, Pengyu Zhu, Yangdong Ye, and Wei Song
Character Behavior Planning and Visual Simulation in Virtual 3D Space.
IEEE MultiMedia. 20(1): 49-59 (2013) [PDF]
Bo Ji, Yangdong Ye, and Yu Xiao
Mutual information evaluation: A way to predict the performance
of feature weighting on clustering.
Intell. Data Anal. 17(6): 1001-1021 (2013) [PDF]
Zhenfeng Zhu, Xingquan Zhu, Yue-Fei Guo, Yangdong Ye, and Xiangyang Xue
Inverse matrix-free incremental proximal support vector machine.
Decision Support Systems. 53(3): 395-405 (2012) [PDF]
Yangdong Ye, Yongli Ren, and Gang Li
Using local density information to improve IB algorithms.
Pattern Recognition Letters. 32(2): 310-320 (2011) [PDF]
Huaqiang Yuan, and Yangdong Ye
Iterative sIB algorithm.
Pattern Recognition Letters. 32(4): 606-614 (2011) [PDF]
Mingliang Xu, Zhigeng Pan, Hongxing Lu, Yangdong Ye, Pei Lv, and Abdennour El Rhalibi
Moving-Target Pursuit Algorithm Using Improved Tracking Strategy.
IEEE Transactions on Computational Intelligence and AI in Games. 2(1): 27-39 (2010) [PDF]
Huaqiang Yuan, Yangdong Ye, Jianguang Deng, Xiaoguang Chai, and Yong Li
A Fingerprint feature extraction algorithm based on curvature of Bezier curve.
Progress in Natural Science. 17(11): 1376-1381 (2007) [PDF]
[Main Conference Papers]
Shizhe Hu, Jiahao Fan, Guoliang Zou, Yangdong Ye
Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering.
Shizhe Hu, Binyan Tian, Weibo Liu, Yangdong Ye
Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined.
AAAI 2025 Accepted.
Guoliang Zou, Yangdong Ye, Tongji Chen, Shizhe Hu
Learning Dual Enhanced Representation for Contrastive Multi-view Clustering.
ACM MM 2024: 8731-8739 [PDF]
Xiaoqiang Yan, Zhixiang Jin, Fengshou Han, Yangdong Ye
Differentiable Information Bottleneck for Deterministic Multi-view Clustering.
IEEE/CVF CVPR 2024: 27435-27444 [PDF]
Xiaoqiang Yan, Yingtao Gan, Yangdong Ye, Hui Yu
Live and Learn: Continual Action Clustering with Incremental Views.
AAAI 2024, 38(15): 16264-16271 [PDF]
Shizhe Hu, Ruilin Geng, Zhaoxu Cheng, Chaoyang Zhang, Guoliang Zou, Zhengzheng Lou, Yangdong Ye
A Parameter-free Multi-view Information Bottleneck Clustering Method by Cross-view Weighting.
ACM MM 2022: 3792-3800 [PDF]
Yiqiao Mao, Xiaoqiang Yan, Qiang Guo, Yangdong Ye
Deep Mutual Information Maxmin for Cross-modal Clustering.
AAAI 2021, 35(10): 8893-8901 [PDF]
Zhen Tian, Haichuan Fang, Yangdong Ye, Zhenfeng Zhu
SWE: a novel method with semantic-weighted edge for measuring gene functional similarity.
IEEE BIBM 2020: 1672-1678 [PDF]
Shizhe Hu, Zhenquan Hou, Zhengzheng Lou, Yangdong Ye
Content VS Context: How about "Walking Hand-In-Hand" for Image Clustering.
IEEE ICASSP 2020: 3707-3711 [PDF]
Xiaoqiang Yan, Yiqiao Mao, Shizhe Hu, Yangdong Ye
Heterogeneous Dual-Task Clustering with Visual-Textual Information.
SDM 2020: 658-666 [PDF]
Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng
Crowd Counting with Deep Negative Correlation Learning.
CVPR 2018: 5382-5390 [PDF]
Ge Zhang, Haosheng Chen, Yangdong Ye
Multi-granularity Navigation for Self Service Moving.
ICVRV 2017: 296-297 [PDF]
Xiaoqiang Yan, Shizhe Hu, Yangdong Ye
Multi-task Clustering of Human Actions by Sharing Information.
CVPR 2017: 6401-6409 [PDF]
Xiaoqiang Yan, Yangdong Ye, Xueying Qiu
Unsupervised Human Action Categorization with Consensus Information Bottleneck Method.
IJCAI 2016: 2245-2251 [PDF]
Yunpeng Wu, Yangdong Ye, Chenyang Zhao
Coherent Motion Detection with Collective Density Clustering.
ACM Multimedia 2015: 361-370 [PDF]
Zhengzheng Lou, Yangdong Ye, Xiaoqiang Yan
The Multi-Feature Information Bottleneck with Application to Unsupervised Image Categorization.
IJCAI 2013: 1508-1515 [PDF]
Zhenfeng Zhu, Xingquan Zhu, Yangdong Ye, Yue-Fei Guo, Xiangyang Xue
Parallel proximal support vector machine for high-dimensional pattern classification.
CIKM 2012: 2351-2354 [PDF]
Mingliang Xu, Yunpeng Wu, Yangdong Ye
Smooth and efficient crowd transformation.
ACM Multimedia 2012: 1189-1192 [PDF]
Zhengzheng Lou, Yangdong Ye, Zhenfeng Zhu
Information Bottleneck with Local Consistency.
PRICAI 2012: 285-296 [PDF]
Wei She, Yangdong Ye
Fault diagnosis via fuzzy time analysis.
FUZZ-IEEE 2012: 1-7 [PDF]
Zhenfeng Zhu, Xingquan Zhu, Yangdong Ye, Yue-Fei Guo, Xiangyang Xue
Transfer active learning.
CIKM 2011: 2169-2172 [PDF]
Zhengzheng Lou, Yangdong Ye, Dong Liu
Unsupervised object category discovery via information bottleneck method.
ACM Multimedia 2010: 863-866 [PDF]
Yongli Ren, Yangdong Ye, Gang Li
The Density Connectivity Information Bottleneck.
ICYCS 2008: 1783-1788 [PDF]
Yongli Ren, Yangdong Ye, Gang Li
The Density-Based Agglomerative Information Bottleneck.
PRICAI 2008: 333-344 [PDF]
Xin Geng, Gang Li, Yangdong Ye, Yiqing Tu, Honghua Dai
Abnormal Behavior Detection for Early Warning of Terrorist Attack.
Australian Conference on Artificial Intelligence 2006: 1002-1009 [PDF]
Gang Li, Dong Liu, Yangdong Ye, Jia Rong
Determine the Optimal Parameter for Information Bottleneck Method.
PRICAI 2006: 1005-1009 [PDF]
[主要中文期刊]
张明明，闫小强，孙中川，胡世哲，叶阳东
自监督流形结构的第一视角视频时序分割算法.
计算机学报，2024，1-16.
张麒，吴宾，孙中川，叶阳东
细粒度建模用户兴趣的序列化推荐方法.
中国科学：信息科学，2022，52(10): 1775-1791.
鲁博，胡世哲，娄铮铮，叶阳东
面向铁路文本分类的字符级特征提取方法.
计算机科学，2021，48(03): 220-226.
胡世哲，娄铮铮，王若彬，闫小强，叶阳东
一种双重加权的多视角聚类方法.
计算机学报，2020，43(9): 1708-1720.
吴宾，陈允，孙中川，叶阳东
联合成对排序的物品推荐模型.
通信学报，2020，40(9): 193-206.
闫小强，叶阳东
共享和私有信息最大化的跨媒体聚类.
计算机研究与发展，2019, 56(07): 1370-1382.
吴宾，娄铮铮，叶阳东
一种面向多源异构数据的协同过滤推荐算法.
计算机研究与发展，2019, 56(05): 130-143.
吴宾，娄铮铮，叶阳东
联合正则化的矩阵分解推荐算法.
软件学报，2018, 29(09): 2681-2696.
朱真峰，翟艳祥，叶阳东
一种线性的在线AUC优化方法.
计算机研究与发展，2018, 55(12): 2725-2733.
曲佳，时增林，叶阳东
基于卷积特征的非平衡人群密度估计方法.
计算机科学，2018, 45(08): 236-241.
吴云鹏，赵晨阳，时增林，叶阳东
基于流密度的多重交互集体行为识别算法.
计算机学报，2017, 40(11): 2519-2532.
闫小强，卢耀恩，娄铮铮，叶阳东
基于并行IB的多语种文本聚类算法.
模式识别与人工智能，2017, 30(6): 559-568.
潘笑颜，娄铮铮，姬波，叶阳东
多视角生成模型的可解释性聚类.
计算机研究与发展，2017, 54(08): 1713-1723.
陈昊升，张格，叶阳东
基于光学图像的多粒度随动环境感知算法.
软件学报，2016, (10): 2661-2675.
娄铮铮，叶阳东
基于最大化交叉互信息的对称IB算法.
计算机学报，2016, 39(8): 1515-1527.
时增林，叶阳东，吴云鹏，娄铮铮
基于序的空间金字塔池化网络的人群计数方法.
自动化学报，2016, 42(6): 866-874.
朱真峰，杨浩博，叶阳东
基于多外观模型的自适应加权目标跟踪算法.
模式识别与人工智能，2016, (11): 1019-1027.
张格，陈昊升，叶阳东
一种基于LoG算子的无标识增强现实算法：LoG-PTAMM.
计算机辅助设计与图形学学报，2016, (9): 1577-1586.
宋伟，张帆，叶阳东，范明，徐明亮
面向时间序列分类任务的SAX方法特性及可视化探索.
计算机辅助设计与图形学学报，2016, (11): 1906-1915.
沈碧波，佘维，叶阳东，贾利民
一种基于TC-CPN的城轨列车车门故障溯因诊断方法.
铁道学报，2016, 38(4): 51-58.
江鹏，叶阳东，娄铮铮
一种面向非平衡数据的多簇IB算法.
计算机科学，2016, 43(7): 245-250.
吴云鹏，杜沅泽，叶阳东
融入情绪模型的人群实时路径规划.
中国图象图形学报，2015, 20(9): 1262-1274.
陈倩，佘维，叶阳东
一种基于 TF-HBPN 的复杂系统行为分析方法.
计算机科学， 2015, 42(7): 62-67.
娄铮铮，杨晨，叶阳东
基于数据选择模型的IB算法.
电子学报，2014, 42(9): 1839-1846.
佘维，叶阳东，陈倩
基于 EFPN 的模糊离散事件系统可诊断性分析.
计算机科学，2014, 41(7): 62-67.
娄铮铮，叶阳东，刘瑞娜
基于IB方法的无冗余多视角聚类.
计算机研究与发展，2013, 50(9): 1865-1875.
佘维，宋伟，叶阳东
因果链解耦的时间—概率模型.
计算机集成制造系统，2013, 19(10): 2536-2549.
姬波，叶阳东，肖煜
基于信息瓶颈方法的出租车空载聚集区聚类算法.
小型微型计算机系统，2013, 34(9): 2139-2143.
姬波，叶阳东
非共现数据的二元化加权转化算法.
模式识别与人工智能，2013, 26(6): 584-591.
佘维，叶阳东
一种信息物理融合系统行为预测模型.
计算机科学，2013, 40(5): 24-30.
职为梅，郭华平，范明，叶阳东
非平衡数据集分类方法探讨.
计算机科学，2012, 39(B06): 304-308.
姬波，叶阳东
非共现数据两阶段加权扭算法.
小型微型计算机系统， 2012, 33(10): 2278-2282.
佘维，叶阳东
一种基于贝叶斯 Petri 网的故障诊断方法.
小型微型计算机系统，2011, 32(11): 2303-2308.
叶阳东，何锡点，贾利民
面向范畴类型数据的sIB算法.
电子学报，2009, 7(10): 2165-2172.
叶阳东，程少芬，王旭，贾利民
基于一种混合Petri网的列车运行系统的建模与分析.
铁道学报，2009, 31(5): 42-49.
袁华强，叶阳东，刘东
遗传顺序IB算法.
电子学报，2009, 37(8): 1804-1809.
叶阳东，张洁，刘东
一种优化的顺序IB文本聚类算法.
模式识别与人工智能，2008, 21(3): 417-423.
叶阳东，刘东，贾利民，Li Gang
一种自动确定参数的sIB算法.
计算机学报，2007, 30(6): 969-978.
朱真峰，叶阳东，Gang Li
基于变异的迭代sIB算法.
计算机研究与发展，2007, 44(11): 1832-1838.
袁华强，叶阳东，司马海峰
一种基于脊线特征的指纹匹配算法.
计算机科学，2007, 34(12): 242-245.