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2020 – today
- 2025
[j83]Haichuan Fang
, Kexin Cheng, Ruixin Zhang, Youwei Wang, Yangdong Ye:
Meta-collaboration-based semantic contrast for inductive knowledge representation learning. Expert Syst. Appl. 261: 125421 (2025)- 2024
- [j82]Yiqiao Mao, Xiaoqiang Yan, Zirui Hu, Xuguang Zhang, Yangdong Ye, Hui Yu:
Memory-aware continual learning with multi-modal social media streams for unsupervised disaster classification. Adv. Eng. Informatics 62: 102654 (2024) - [j81]Bin Wu, Xun Su, Jing J. Liang, Zhongchuan Sun, Lihong Zhong, Yangdong Ye:
Graph gating-mixer for sequential recommendation. Expert Syst. Appl. 238(Part E): 122060 (2024) - [j80]Zhen Huang, Zhongchuan Sun, Jiaming Liu, Yangdong Ye:
Group-aware graph neural networks for sequential recommendation. Inf. Sci. 670: 120623 (2024) - [j79]Xiaoqiang Yan, Zhixiang Jin, Yiqiao Mao, Yangdong Ye, Hui Yu:
Differentiable self-supervised clustering with intrinsic interpretability. Neural Networks 179: 106542 (2024) - [j78]Shizhe Hu, Zhengzheng Lou, Xiaoqiang Yan, Yangdong Ye:
A Survey on Information Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5325-5344 (2024) - [j77]Yiqiao Mao, Xiaoqiang Yan, Shizhe Hu, Yangdong Ye:
Contrastive cross-modal clustering with twin network. Pattern Recognit. 155: 110645 (2024) - [j76]Xiaoqiang Yan, Yiqiao Mao, Mingyuan Li, Yangdong Ye, Hui Yu:
Multitask Image Clustering via Deep Information Bottleneck. IEEE Trans. Cybern. 54(3): 1868-1881 (2024) - [j75]Yiqiao Mao, Xiaoqiang Yan, Jiaming Liu, Yangdong Ye:
ConGMC: Consistency-Guided Multimodal Clustering via Mutual Information Maximin. IEEE Trans. Multim. 26: 5131-5146 (2024) - [j74]Shizhe Hu, Zenglin Shi, Xiaoqiang Yan, Zhengzheng Lou, Yangdong Ye:
Multiview Clustering With Propagating Information Bottleneck. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9915-9929 (2024) - [j73]Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, Hui Yu:
Cross-Modal Clustering With Deep Correlated Information Bottleneck Method. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13508-13522 (2024) - [c43]Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao, Yangdong Ye, Hui Yu:
Live and Learn: Continual Action Clustering with Incremental Views. AAAI 2024: 16264-16271 - [c42]Zhongchuan Sun, Bin Wu, Yangdong Ye:
Learning from the Future for Sequential Recommendation. ACM TUR-C 2024 - [c41]Xiaoqiang Yan, Zhixiang Jin, Fengshou Han, Yangdong Ye:
Differentiable Information Bottleneck for Deterministic Multi-View Clustering. CVPR 2024: 27425-27434 - [c40]Zhengzheng Lou, Chaoyang Zhang, Hang Xue, Yangdong Ye, Qinglei Zhou, Shizhe Hu:
Self-supervised Weighted Information Bottleneck for Multi-view Clustering. IJCAI 2024: 4643-4650 - [c39]Guoliang Zou, Yangdong Ye, Tongji Chen, Shizhe Hu:
Learning Dual Enhanced Representation for Contrastive Multi-view Clustering. ACM Multimedia 2024: 8731-8739 - [i4]Xiaoqiang Yan, Zhixiang Jin, Fengshou Han, Yangdong Ye:
Differentiable Information Bottleneck for Deterministic Multi-view Clustering. CoRR abs/2403.15681 (2024) - [i3]Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao, Yangdong Ye, Hui Yu:
Live and Learn: Continual Action Clustering with Incremental Views. CoRR abs/2404.07962 (2024) - 2023
- [j72]Mingming Zhang, Dong Liu, Shizhe Hu, Xiaoqiang Yan, Zhongchuan Sun, Yangdong Ye:
Self-supervised temporal autoencoder for egocentric action segmentation. Eng. Appl. Artif. Intell. 126(Part D): 107092 (2023) - [j71]Xue Zhang, Bin Wu, Yangdong Ye:
Graph attentive matrix factorization for social recommendation. Expert Syst. J. Knowl. Eng. 40(9) (2023) - [j70]Haichuan Fang, Youwei Wang, Zhen Tian, Yangdong Ye:
Learning knowledge graph embedding with a dual-attention embedding network. Expert Syst. Appl. 212: 118806 (2023) - [j69]Xiaoqiang Yan, Xiangyu Yu, Shizhe Hu, Yangdong Ye:
Mutual Boost Network for attributed graph clustering. Expert Syst. Appl. 229(Part A): 120479 (2023) - [j68]Shizhe Hu, Guoliang Zou, Chaoyang Zhang, Zhengzheng Lou, Ruilin Geng, Yangdong Ye:
Joint contrastive triple-learning for deep multi-view clustering. Inf. Process. Manag. 60(3): 103284 (2023) - [j67]Youwei Wang, Ying Wang, Zhongchuan Sun, Yinghao Li, Shizhe Hu, Yangdong Ye:
Deep purified feature mining model for joint named entity recognition and relation extraction. Inf. Process. Manag. 60(6): 103511 (2023) - [j66]Bin Wu, Tianren Shi, Lihong Zhong, Yan Zhang, Yangdong Ye:
Graph-coupled time interval network for sequential recommendation. Inf. Sci. 648: 119510 (2023) - [j65]Hui Li, Bin Wu, Miaomiao Sun, Yangdong Ye, Zhenfeng Zhu, Kuisheng Chen:
Multi-view graph neural network with cascaded attention for lncRNA-miRNA interaction prediction. Knowl. Based Syst. 268: 110492 (2023) - [j64]Jiaming Liu, Yiqiao Mao, Zhen Huang, Yangdong Ye:
A Bottleneck Network with Light Attention for Multimodal Clustering. Knowl. Based Syst. 280: 111037 (2023) - [j63]Zhen Tian, Haichuan Fang, Zhixia Teng, Yangdong Ye:
GOGCN: Graph Convolutional Network on Gene Ontology for Functional Similarity Analysis of Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1053-1064 (2023) - [j62]Zhongchuan Sun, Bin Wu, Yifan Chen, Yangdong Ye:
Learning From the Future: Light Cone Modeling for Sequential Recommendation. IEEE Trans. Cybern. 53(8): 5358-5371 (2023) - [j61]Bin Wu, Lihong Zhong, Yangdong Ye:
Graph-Augmented Social Translation Model for Next-Item Recommendation. IEEE Trans. Ind. Informatics 19(11): 10913-10922 (2023) - [j60]Bin Wu, Xiangnan He, Qi Zhang, Meng Wang, Yangdong Ye:
GCRec: Graph-Augmented Capsule Network for Next-Item Recommendation. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10164-10177 (2023) - [j59]Bin Wu, Xiangnan He, Le Wu, Xue Zhang, Yangdong Ye:
Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 4039-4051 (2023) - [j58]Zhongchuan Sun, Bin Wu, Shizhe Hu, Mingming Zhang, Yangdong Ye:
Attentive Adversarial Collaborative Filtering. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 4064-4076 (2023) - [c38]Bin Wu, Xiangnan He, Yu Chen, Liqiang Nie, Kai Zheng, Yangdong Ye:
Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract). ICDE 2023: 3837-3838 - 2022
- [j57]Zhen Tian, Xiangyu Peng, Haichuan Fang, Wenjie Zhang, Qiguo Dai, Yangdong Ye:
MHADTI: predicting drug-target interactions via multiview heterogeneous information network embedding with hierarchical attention mechanisms. Briefings Bioinform. 23(6) (2022) - [j56]Zhen Tian, Haichuan Fang, Yangdong Ye, Zhenfeng Zhu:
A novel gene functional similarity calculation model by utilizing the specificity of terms and relationships in gene ontology. BMC Bioinform. 23-S(1): 47 (2022) - [j55]Xiaoqiang Yan, Kaiyuan Shi, Yangdong Ye, Hui Yu:
Deep correlation mining for multi-task image clustering. Expert Syst. Appl. 187: 115973 (2022) - [j54]Bin Wu, Lihong Zhong, Lina Yao, Yangdong Ye:
EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things. IEEE Internet Things J. 9(17): 16386-16401 (2022) - [j53]Zhongchuan Sun, Bin Wu, Youwei Wang, Yangdong Ye:
Sequential graph collaborative filtering. Inf. Sci. 592: 244-260 (2022) - [j52]Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, Hui Yu, Fei-Yue Wang:
Explanation guided cross-modal social image clustering. Inf. Sci. 593: 1-16 (2022) - [j51]Qi Zhang, Bin Wu, Zhongchuan Sun, Yangdong Ye:
Gating augmented capsule network for sequential recommendation. Knowl. Based Syst. 247: 108817 (2022) - [j50]Bin Wu, Lihong Zhong, Hui Li, Yangdong Ye:
Efficient complementary graph convolutional network without negative sampling for item recommendation. Knowl. Based Syst. 256: 109758 (2022) - [j49]Shizhe Hu, Zenglin Shi, Yangdong Ye:
DMIB: Dual-Correlated Multivariate Information Bottleneck for Multiview Clustering. IEEE Trans. Cybern. 52(6): 4260-4274 (2022) - [j48]Shizhe Hu, Zhengzheng Lou, Yangdong Ye:
View-Wise Versus Cluster-Wise Weight: Which Is Better for Multi-View Clustering? IEEE Trans. Image Process. 31: 58-71 (2022) - [j47]Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng, Yangdong Ye:
Modeling Product's Visual and Functional Characteristics for Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(3): 1330-1343 (2022) - [c37]Xin Zeng, Shizhe Hu, Qiang Guo, Yunpeng Wu, Yangdong Ye:
Crowd Counting Using Scale Enhanced Network with Dual Attention Booster. ACAI 2022: 1:1-1:6 - [c36]Ying Wang, Youwei Wang, Yangdong Ye:
A Novel Method for Constructing Knowledge Graph of Railway Safety Risk. CSAE 2022: 54:1-54:6 - [c35]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 Multimedia 2022: 3792-3800 - [d1]Haosheng Chen, Ge Zhang, Yangdong Ye:
Dynamic Scenes Dataset. IEEE DataPort, 2022
- 2021
- [j46]Shizhe Hu, Ruobin Wang, Yangdong Ye:
Interactive information bottleneck for high-dimensional co-occurrence data clustering. Appl. Soft Comput. 111: 107837 (2021) - [j45]Shizhe Hu, Bo Wang, Zhengzheng Lou, Yangdong Ye:
Multi-view content-context information bottleneck for image clustering. Expert Syst. Appl. 183: 115374 (2021) - [j44]Ge Zhang, Xiaoqiang Yan, Yulong Xu, Yangdong Ye:
Neural guided visual slam system with Laplacian of Gaussian operator. IET Comput. Vis. 15(3): 181-196 (2021) - [j43]Xiaoqiang Yan, Shizhe Hu, Yiqiao Mao, Yangdong Ye, Hui Yu:
Deep multi-view learning methods: A review. Neurocomputing 448: 106-129 (2021) - [j42]Qiang Guo, Xin Zeng, Shizhe Hu, Sonephet Phoummixay, Yangdong Ye:
Learning a deep network with cross-hierarchy aggregation for crowd counting. Knowl. Based Syst. 213: 106691 (2021) - [j41]Haosheng Chen, Ge Zhang, Yangdong Ye:
Semantic Loop Closure Detection With Instance-Level Inconsistency Removal in Dynamic Industrial Scenes. IEEE Trans. Ind. Informatics 17(3): 2030-2040 (2021) - [j40]Shizhe Hu, Xiaoqiang Yan, Yangdong Ye:
Multi-Task Image Clustering through Correlation Propagation. IEEE Trans. Knowl. Data Eng. 33(3): 1113-1127 (2021) - [c34]Yiqiao Mao, Xiaoqiang Yan, Qiang Guo, Yangdong Ye:
Deep Mutual Information Maximin for Cross-Modal Clustering. AAAI 2021: 8893-8901 - 2020
- [j39]Mingming Zhang, Xiaoqiang Yan, Shizhe Hu, Yangdong Ye:
An Information Maximization Multi-task Clustering Method for egocentric temporal segmentation. Appl. Soft Comput. 94: 106425 (2020) - [j38]Xin Zeng, Yunpeng Wu, Shizhe Hu, Ruobin Wang, Yangdong Ye:
DSPNet: Deep scale purifier network for dense crowd counting. Expert Syst. Appl. 141 (2020) - [j37]Xiaoqiang Yan, Yangdong Ye, Xueying Qiu, Hui Yu:
Synergetic information bottleneck for joint multi-view and ensemble clustering. Inf. Fusion 56: 15-27 (2020) - [j36]Shufeng Xiong, Ming Cheng, Vishwash Batra, Tao Qian, Bingkun Wang, Yangdong Ye:
Aspect terms grouping via fusing concepts and context information. Inf. Fusion 64: 12-19 (2020) - [j35]Shizhe Hu, Xiaoqiang Yan, Yangdong Ye:
Joint specific and correlated information exploration for multi-view action clustering. Inf. Sci. 524: 148-164 (2020) - [j34]Bin Wu, Yangdong Ye:
BSPR: Basket-sensitive personalized ranking for product recommendation. Inf. Sci. 541: 185-206 (2020) - [j33]Ge Zhang, Bin Wu, Yulong Xu, Yangdong Ye:
Multi-granularity environment perception based on octree occupancy grid. Multim. Tools Appl. 79(35-36): 26765-26785 (2020) - [j32]Shizhe Hu, Xiaoqiang Yan, Yangdong Ye:
Dynamic auto-weighted multi-view co-clustering. Pattern Recognit. 99 (2020) - [j31]Peng Sun, Fei Liu, Jianhua Cui, Wei Wang, Yangdong Ye, Zhongyong Wang:
A Joint Symbol-Detection, Channel-Estimation and Decoding Scheme under Few-Bit ADCs in mmWave Communications. Sensors 20(7): 1857 (2020) - [j30]Bin Wu, Xiangnan He, Zhongchuan Sun, Liang Chen, Yangdong Ye:
ATM: An Attentive Translation Model for Next-Item Recommendation. IEEE Trans. Ind. Informatics 16(3): 1448-1459 (2020) - [j29]Xiaoqiang Yan, Yangdong Ye, Xueying Qiu, Milos Manic, Hui Yu:
CMIB: Unsupervised Image Object Categorization in Multiple Visual Contexts. IEEE Trans. Ind. Informatics 16(6): 3974-3986 (2020) - [j28]Xiaoqiang Yan, Zhengzheng Lou, Shizhe Hu, Yangdong Ye:
Multi-task Information Bottleneck Co-clustering for Unsupervised Cross-view Human Action Categorization. ACM Trans. Knowl. Discov. Data 14(2): 15:1-15:23 (2020) - [c33]Zhen Tian, Haichuan Fang, Yangdong Ye, Zhenfeng Zhu:
SWE: a novel method with semantic-weighted edge for measuring gene functional similarity. BIBM 2020: 1672-1678 - [c32]Shizhe Hu, Zhenquan Hou, Zhengzheng Lou, Yangdong Ye:
Content Vs Context: How About "Walking Hand-In-Hand" For Image Clustering? ICASSP 2020: 3707-3711 - [c31]Xiaoqiang Yan, Yiqiao Mao, Shizhe Hu, Yangdong Ye:
Heterogeneous Dual-Task Clustering with Visual-Textual Information. SDM 2020: 658-666
2010 – 2019
- 2019
- [j27]Xiaoqiang Yan, Yangdong Ye, Yiqiao Mao, Hui Yu:
Shared-Private Information Bottleneck Method for Cross-Modal Clustering. IEEE Access 7: 36045-36056 (2019) - [j26]Ge Zhang, Xiaoqiang Yan, Yangdong Ye:
Loop Closure Detection Via Maximization of Mutual Information. IEEE Access 7: 124217-124232 (2019) - [j25]Zhongchuan Sun, Bin Wu, Yunpeng Wu, Yangdong Ye:
APL: Adversarial Pairwise Learning for Recommender Systems. Expert Syst. Appl. 118: 573-584 (2019) - [j24]Bin Wu, Yangdong Ye, Yun Chen:
Visual appearance or functional complementarity: Which aspect affects your decision making? Inf. Sci. 476: 19-37 (2019) - [j23]Yulong Xu, Yangdong Ye, Han Zhang, Wenbing Zhang, Yali Lv:
A fast two-objective differential evolution for the two-objective coverage problem of WSNs. Memetic Comput. 11(1): 89-107 (2019) - 2018
- [j22]Jia Qu, Zenglin Shi, Yangdong Ye:
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). 计算机科学 45(8): 236-241 (2018) - [j21]Zenglin Shi, Le Zhang, Yibo Sun, Yangdong Ye:
Multiscale Multitask Deep NetVLAD for Crowd Counting. IEEE Trans. Ind. Informatics 14(11): 4953-4962 (2018) - [j20]Yunpeng Wu, Yangdong Ye, Chenyang Zhao, Zenglin Shi:
Collective Density Clustering for Coherent Motion Detection. IEEE Trans. Multim. 20(6): 1418-1431 (2018) - [c30]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 - 2017
- [j19]Wei Song, Zhiguang Wang, Fan Zhang, Yangdong Ye, Ming Fan:
Empirical study of symbolic aggregate approximation for time series classification. Intell. Data Anal. 21(1): 135-150 (2017) - [c29]Xiaoqiang Yan, Shizhe Hu, Yangdong Ye:
Multi-task Clustering of Human Actions by Sharing Information. CVPR 2017: 4049-4057 - 2016
- [j18]Peng Jiang, Yangdong Ye, Zhengzheng Lou:
一种面向非平衡数据的多簇IB算法 (Multi-clusters IB Algorithm for Imbalanced Data Set). 计算机科学 43(7): 245-250 (2016) - [j17]Yong Yang, Ling Guo, Yangdong Ye:
Robust natural image segmentation by using spatially constrained multivariate mixed Student's t-distribution and TV flow edge. J. Vis. Commun. Image Represent. 40: 178-196 (2016) - [j16]Zenglin Shi, Yangdong Ye, Yunpeng Wu:
Rank-based pooling for deep convolutional neural networks. Neural Networks 83: 21-31 (2016) - [c28]Xiaoqiang Yan, Yangdong Ye, Xueying Qiu:
Unsupervised Human Action Categorization with Consensus Information Bottleneck Method. IJCAI 2016: 2245-2251 - [i2]Zhiguang Wang, Wei Song, Lu Liu, Fan Zhang, Junxiao Xue, Yangdong Ye, Ming Fan, Mingliang Xu:
Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization. CoRR abs/1610.07258 (2016) - 2015
- [j15]Mingliang Xu, Yunpeng Wu, Yangdong Ye, Illés J. Farkas, Hao Jiang, Zhigang Deng:
Collective Crowd Formation Transform with Mutual Information-Based Runtime Feedback. Comput. Graph. Forum 34(1): 60-73 (2015) - [j14]Weimei Zhi, Huaping Guo, Ming Fan, Yangdong Ye:
Instance-based ensemble pruning for imbalanced learning. Intell. Data Anal. 19(4): 779-794 (2015) - [j13]Mingliang Xu, Yunpeng Wu, Pei Lv, Hao Jiang, Mingxuan Luo, Yangdong Ye:
miSFM: On combination of Mutual Information and Social Force Model towards simulating crowd evacuation. Neurocomputing 168: 529-537 (2015) - [j12]Qian Chen, Wei She, Yangdong Ye:
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). 计算机科学 42(7): 62-67 (2015) - [j11]Xiaoqiang Yan, Yangdong Ye, Zhengzheng Lou:
Unsupervised video categorization based on multivariate information bottleneck method. Knowl. Based Syst. 84: 34-45 (2015) - [j10]Yangdong Ye, Ruina Liu, Zhengzheng Lou:
Incorporating side information into multivariate Information Bottleneck for generating alternative clusterings. Pattern Recognit. Lett. 51: 70-78 (2015) - [c27]Hongxing Lu, Yangdong Ye, Gang Chen:
Transformer Fault Diagnosis Algorithm Based on Entropy-Weighting Information Bottleneck Method. CyberC 2015: 127-130 - [c26]Wei Song, Zhiguang Wang, Yangdong Ye, Ming Fan:
Empirical studies on Symbolic Aggregation approximation under statistical perspectives for knowledge discovery in time series. FSKD 2015: 1040-1046 - [c25]Yunpeng Wu, Yangdong Ye, Chenyang Zhao:
Coherent Motion Detection with Collective Density Clustering. ACM Multimedia 2015: 361-370 - [i1]Wei Song, Zhiguang Wang, Yangdong Ye, Ming Fan:
Empirical Studies on Symbolic Aggregation Approximation Under Statistical Perspectives for Knowledge Discovery in Time Series. CoRR abs/1506.02732 (2015) - 2014
- [j9]Bo Ji, Yangdong Ye, Yu Xiao:
A Combination Weighting Algorithm using Relative Entropy for Document Clustering. Int. J. Pattern Recognit. Artif. Intell. 28(3) (2014) - [j8]Zhao Tian, Zundong Zhang, Yangdong Ye, Limin Jia:
Analysis of real-time system conflict based on fuzzy time Petri nets. J. Intell. Fuzzy Syst. 26(2): 983-991 (2014) - [j7]Xuequan Lu, Wenzhi Chen, Mingliang Xu, Zonghui Wang, Zhigang Deng, Yangdong Ye:
AA-FVDM: An accident-avoidance full velocity difference model for animating realistic street-level traffic in rural scenes. Comput. Animat. Virtual Worlds 25(1): 83-97 (2014) - [c24]Yiming Wang, Yangdong Ye, Zhenfeng Zhu:
Dynamic threshold model based probabilistic latent semantic analysis. FSKD 2014: 424-429 - 2013
- [j6]Bo Ji, Yangdong Ye, Yu Xiao:
Mutual information evaluation: A way to predict the performance of feature weighting on clustering. Intell. Data Anal. 17(6): 1001-1021 (2013) - [j5]Mingliang Xu, Zhigeng Pan, Mingmin Zhang, Pei Lv, Pengyu Zhu, Yangdong Ye, Wei Song:
Character Behavior Planning and Visual Simulation in Virtual 3D Space. IEEE Multim. 20(1): 49-59 (2013) - [c23]Zhengzheng Lou, Yangdong Ye, Xiaoqiang Yan:
The Multi-Feature Information Bottleneck with Application to Unsupervised Image Categorization. IJCAI 2013: 1508-1515 - 2012
- [j4]Zhenfeng Zhu, Xingquan Zhu, Yue-Fei Guo, Yangdong Ye, Xiangyang Xue:
Inverse matrix-free incremental proximal support vector machine. Decis. Support Syst. 53(3): 395-405 (2012) - [c22]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 - [c21]Wei She, Yangdong Ye:
Fault diagnosis via fuzzy time analysis. FUZZ-IEEE 2012: 1-7 - [c20]Wei She, Yangdong Ye:
PPN: A probabilistic model for fault detection and diagnosis. ISDA 2012: 1006-1011 - [c19]Mingliang Xu, Yunpeng Wu, Yangdong Ye:
Smooth and efficient crowd transformation. ACM Multimedia 2012: 1189-1192 - [c18]Zhengzheng Lou, Yangdong Ye, Zhenfeng Zhu:
Information Bottleneck with Local Consistency. PRICAI 2012: 285-296 - 2011
- [j3]Yangdong Ye, Yongli Ren, Gang Li:
Using local density information to improve IB algorithms. Pattern Recognit. Lett. 32(2): 310-320 (2011) - [j2]Huaqiang Yuan, Yangdong Ye:
Iterative sIB algorithm. Pattern Recognit. Lett. 32(4): 606-614 (2011) - [c17]Zhenfeng Zhu, Xingquan Zhu, Yangdong Ye, Yue-Fei Guo, Xiangyang Xue:
Transfer active learning. CIKM 2011: 2169-2172 - [c16]Bo Ji, Yangdong Ye:
Developing a feature weight self-adjustment mechanism for the CD-sIB algorithm. FSKD 2011: 1137-1141 - [c15]Nan Wu, Yangdong Ye, Zhengzheng Lou:
Image segmentation via IB method. FSKD 2011: 1142-1146 - 2010
- [j1]Mingliang Xu, Zhigeng Pan, Hongxing Lu, Yangdong Ye, Pei Lv, Abdennour El Rhalibi:
Moving-Target Pursuit Algorithm Using Improved Tracking Strategy. IEEE Trans. Comput. Intell. AI Games 2(1): 27-39 (2010) - [c14]Zhengzheng Lou, Yangdong Ye, Dong Liu:
Unsupervised object category discovery via information bottleneck method. ACM Multimedia 2010: 863-866
2000 – 2009
- 2008
- [c13]Yongli Ren, Yangdong Ye, Gang Li:
The Density Connectivity Information Bottleneck. ICYCS 2008: 1783-1788 - [c12]Guoqiang Cai, Shimin Zhao, Limin Jia, Yangdong Ye, Xi Li:
Approach of Train Group Operation Conflict Prevention Reasoning Based on Fuzzy Time Petri Nets. NCM (2) 2008: 272-277 - [c11]Yongli Ren, Yangdong Ye, Gang Li:
The Density-Based Agglomerative Information Bottleneck. PRICAI 2008: 333-344 - 2007
- [c10]Yangdong Ye, Hongxing Lu, Junxia Ma, Limin Jia:
Uncertain Temporal Knowledge Reasoning of Train Group Operation Based on Extended Fuzzy-Timing Petri Nets. ICFIE 2007: 59-64 - 2006
- [c9]Gang Li, Dong Liu, Yiqing Tu, Yangdong Ye:
Finding the Optimal Cardinality Value for Information Bottleneck Method. ADMA 2006: 594-605 - [c8]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 - [c7]Guoqiang Cai, Zundong Zhang, Limin Jia, Yangdong Ye:
A multi-agent model of railway intelligent safety guarantee system. Computational Intelligence 2006: 138-143 - [c6]Gang Li, Dong Liu, Yangdong Ye, Jia Rong:
Determine the Optimal Parameter for Information Bottleneck Method. PRICAI 2006: 1005-1009 - 2005
- [c5]Yangdong Ye, Juan Wang, Limin Jia:
Analysis of Temporal Uncertainty of Trains Converging Based on Fuzzy Time Petri Nets. FSKD (1) 2005: 89-99 - [c4]Yangdong Ye, Zundong Zhang, Limin Jia, Honghua Dai:
Research on train group operation model in RITS. ISADS 2005: 242-249 - [c3]Yangdong Ye, Zundong Zhang, Honghua Dai, Limin Jia:
A Study of Train Group Operation Multi-agent Model Oriented to RITS. KES (1) 2005: 707-713 - [c2]Wei Fu, Guoqiang Cai, Limin Jia, Yangdong Ye, Ye Zhang:
Research on Software Requirement Analysis Method Based on Five-Key Elements Arrange. Software Engineering Research and Practice 2005: 442-447 - 2004
- [c1]Guoqiang Cai, Yangdong Ye, Xiaoyan Lv, Limin Jia:
Predictive Analysis Method Based on Railway Ticket Data Warehouse. IKE 2004: 378-384
Coauthor Index
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