Yangdong Ye - RankMe

150 papers A* 18A 3B 4C 3Misc 2Journal 103Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial contrastive collaborative filtering. Knowl. Based Syst. Bin Wu, Bo Zhang, Ruiwen Fan, Yangdong Ye
2026	J	`jnl`	Cross-modal information propagation for contrastive multi-modal clustering. Inf. Process. Manag. Tongji Chen, Guoliang Zou, Shizhe Hu, Yangdong Ye
2026	J	`jnl`	EGCL: An Effective and Efficient Graph Contrastive Learning Framework for Social Recommendation. ACM Trans. Inf. Syst. Bin Wu, Bo Zhang, Yihao Tian, Chenliang Li, Jing J. Liang, Yangdong Ye
2026	J	`jnl`	Hyperbolic Adversarial Variational Embedding for item recommendation. Eng. Appl. Artif. Intell. Zhongchuan Sun, Liming Chen, Youwei Wang, Mingming Zhang, Yunpeng Wu, Yangdong Ye
2026	A*	`conf`	Interest-driven Deep Multi-modal Clustering. AAAI Guoliang Zou, Tongji Chen, Sijia Li, Jin Qin, Yangdong Ye, Shizhe Hu
2025	A*	`conf`	CDIB: Consistency Discovery-guided Information Bottleneck for Multi-modal Knowledge Graph Reasoning. ACM Multimedia Haichuan Fang, Haoran Zhang, Yulin Du, Qiang Guo, Zhen Tian, Youwei Wang, Yangdong Ye
2025	J	`jnl`	DCIB: Dual contrastive information bottleneck for knowledge-aware recommendation. Inf. Process. Manag. Qiang Guo, Jialong Hai, Zhongchuan Sun, Bin Wu, Yangdong Ye
2025	J	`jnl`	Deep Multiview Clustering by Pseudo-Label Guided Contrastive Learning and Dual Correlation Learning. IEEE Trans. Neural Networks Learn. Syst. Shizhe Hu, Chengkun Zhang, Guoliang Zou, Zhengzheng Lou, Yangdong Ye
2025	J	`jnl`	Disentangled Graph Contrastive Learning for Socially-Aware Next-Item Recommendation. IEEE Trans. Big Data Bin Wu, Xun Su, Long Chen, Jing Liang, Yangdong Ye
2025	J	`jnl`	Dual global information guidance for deep contrastive multi-modal clustering. Inf. Sci. Guoliang Zou, Shizhe Hu, Tongji Chen, Yunpeng Wu, Yangdong Ye
2025	J	`jnl`	Few-Shot Object Counting with frequency attention and multi-perception head. Neurocomputing Gaoxin Ma, Xingquan Zhu, Zhen Tian, Yangdong Ye, Zhenfeng Zhu
2025	J	`jnl`	Incremental Multiview Clustering With Continual Information Bottleneck Method. IEEE Trans. Syst. Man Cybern. Syst. Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, Hui Yu
2025	J	`jnl`	Knowledge-refined information bottleneck for contrastive recommendation. Expert Syst. Appl. Qiang Guo, Bin Wu, Zhongchuan Sun, Haichuan Fang, Yangdong Ye
2025	J	`jnl`	Meta-collaboration-based semantic contrast for inductive knowledge representation learning. Expert Syst. Appl. Haichuan Fang, Kexin Cheng, Ruixin Zhang, Youwei Wang, Yangdong Ye
2025	A*	`conf`	Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering. AAAI Shizhe Hu, Jiahao Fan, Guoliang Zou, Yangdong Ye
2025	J	`jnl`	Multimodal Nonredundant Clustering via Sufficiency Complementary Mining. IEEE Trans. Ind. Informatics Yiqiao Mao, Xiaoqiang Yan, Qiang Guo, Yangdong Ye
2025	J	`jnl`	ProNet: A contrastive propagation network for multimodal lifelong clustering. Knowl. Based Syst. Yiqiao Mao, Zirui Hu, Qiang Guo, Xiaoqiang Yan, Yangdong Ye
2025	A*	`conf`	Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined. AAAI Shizhe Hu, Binyan Tian, Weibo Liu, Yangdong Ye
2025	J	`jnl`	Span-aware pre-trained network with deep information bottleneck for scientific entity relation extraction. Neural Networks Youwei Wang, Peisong Cao, Haichuan Fang, Yangdong Ye
2024	J	`jnl`	A Survey on Information Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. Shizhe Hu, Zhengzheng Lou, Xiaoqiang Yan, Yangdong Ye
2024	J	`jnl`	ConGMC: Consistency-Guided Multimodal Clustering via Mutual Information Maximin. IEEE Trans. Multim. Yiqiao Mao, Xiaoqiang Yan, Jiaming Liu, Yangdong Ye
2024	J	`jnl`	Consistency-constrained RGB-T crowd counting via mutual information maximization. Complex Intell. Syst. Qiang Guo, Pengcheng Yuan, Xiangming Huang, Yangdong Ye
2024	J	`jnl`	Contrastive cross-modal clustering with twin network. Pattern Recognit. Yiqiao Mao, Xiaoqiang Yan, Shizhe Hu, Yangdong Ye
2024	J	`jnl`	Cross-Modal Clustering With Deep Correlated Information Bottleneck Method. IEEE Trans. Neural Networks Learn. Syst. Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, Hui Yu
2024	A*	`conf`	Differentiable Information Bottleneck for Deterministic Multi-View Clustering. CVPR Xiaoqiang Yan, Zhixiang Jin, Fengshou Han, Yangdong Ye
2024	J	`jnl`	Differentiable Information Bottleneck for Deterministic Multi-view Clustering. CoRR Xiaoqiang Yan, Zhixiang Jin, Fengshou Han, Yangdong Ye
2024	J	`jnl`	Differentiable self-supervised clustering with intrinsic interpretability. Neural Networks Xiaoqiang Yan, Zhixiang Jin, Yiqiao Mao, Yangdong Ye, Hui Yu
2024	J	`jnl`	Graph gating-mixer for sequential recommendation. Expert Syst. Appl. Bin Wu, Xun Su, Jing J. Liang, Zhongchuan Sun, Lihong Zhong, Yangdong Ye
2024	J	`jnl`	Group-aware graph neural networks for sequential recommendation. Inf. Sci. Zhen Huang, Zhongchuan Sun, Jiaming Liu, Yangdong Ye
2024	A*	`conf`	Learning Dual Enhanced Representation for Contrastive Multi-view Clustering. ACM Multimedia Guoliang Zou, Yangdong Ye, Tongji Chen, Shizhe Hu
2024	—	`conf`	Learning from the Future for Sequential Recommendation. ACM TUR-C Zhongchuan Sun, Bin Wu, Yangdong Ye
2024	A*	`conf`	Live and Learn: Continual Action Clustering with Incremental Views. AAAI Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao, Yangdong Ye, Hui Yu
2024	J	`jnl`	Live and Learn: Continual Action Clustering with Incremental Views. CoRR Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao, Yangdong Ye, Hui Yu
2024	J	`jnl`	Memory-aware continual learning with multi-modal social media streams for unsupervised disaster classification. Adv. Eng. Informatics Yiqiao Mao, Xiaoqiang Yan, Zirui Hu, Xuguang Zhang, Yangdong Ye, Hui Yu
2024	J	`jnl`	Multitask Image Clustering via Deep Information Bottleneck. IEEE Trans. Cybern. Xiaoqiang Yan, Yiqiao Mao, Mingyuan Li, Yangdong Ye, Hui Yu
2024	J	`jnl`	Multiview Clustering With Propagating Information Bottleneck. IEEE Trans. Neural Networks Learn. Syst. Shizhe Hu, Zenglin Shi, Xiaoqiang Yan, Zhengzheng Lou, Yangdong Ye
2024	A*	`conf`	Self-supervised Weighted Information Bottleneck for Multi-view Clustering. IJCAI Zhengzheng Lou, Chaoyang Zhang, Hang Xue, Yangdong Ye, Qinglei Zhou, Shizhe Hu
2023	J	`jnl`	A Bottleneck Network with Light Attention for Multimodal Clustering. Knowl. Based Syst. Jiaming Liu, Yiqiao Mao, Zhen Huang, Yangdong Ye
2023	J	`jnl`	A domain semantics-enhanced relation extraction model for identifying the railway safety risk. Complex Intell. Syst. Youwei Wang, Chengying Zhu, Qiang Guo, Yangdong Ye
2023	J	`jnl`	Attentive Adversarial Collaborative Filtering. IEEE Trans. Syst. Man Cybern. Syst. Zhongchuan Sun, Bin Wu, Shizhe Hu, Mingming Zhang, Yangdong Ye
2023	J	`jnl`	Deep purified feature mining model for joint named entity recognition and relation extraction. Inf. Process. Manag. Youwei Wang, Ying Wang, Zhongchuan Sun, Yinghao Li, Shizhe Hu, Yangdong Ye
2023	J	`jnl`	GCRec: Graph-Augmented Capsule Network for Next-Item Recommendation. IEEE Trans. Neural Networks Learn. Syst. Bin Wu, Xiangnan He, Qi Zhang, Meng Wang, Yangdong Ye
2023	J	`jnl`	GOGCN: Graph Convolutional Network on Gene Ontology for Functional Similarity Analysis of Genes. IEEE ACM Trans. Comput. Biol. Bioinform. Zhen Tian, Haichuan Fang, Zhixia Teng, Yangdong Ye
2023	J	`jnl`	Graph attentive matrix factorization for social recommendation. Expert Syst. J. Knowl. Eng. Xue Zhang, Bin Wu, Yangdong Ye
2023	J	`jnl`	Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation. IEEE Trans. Syst. Man Cybern. Syst. Bin Wu, Xiangnan He, Le Wu, Xue Zhang, Yangdong Ye
2023	J	`jnl`	Graph-Augmented Social Translation Model for Next-Item Recommendation. IEEE Trans. Ind. Informatics Bin Wu, Lihong Zhong, Yangdong Ye
2023	J	`jnl`	Graph-coupled time interval network for sequential recommendation. Inf. Sci. Bin Wu, Tianren Shi, Lihong Zhong, Yan Zhang, Yangdong Ye
2023	J	`jnl`	Joint contrastive triple-learning for deep multi-view clustering. Inf. Process. Manag. Shizhe Hu, Guoliang Zou, Chaoyang Zhang, Zhengzheng Lou, Ruilin Geng, Yangdong Ye
2023	J	`jnl`	Learning From the Future: Light Cone Modeling for Sequential Recommendation. IEEE Trans. Cybern. Zhongchuan Sun, Bin Wu, Yifan Chen, Yangdong Ye
2023	J	`jnl`	Learning knowledge graph embedding with a dual-attention embedding network. Expert Syst. Appl. Haichuan Fang, Youwei Wang, Zhen Tian, Yangdong Ye
2023	A*	`conf`	Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract). ICDE Bin Wu, Xiangnan He, Yu Chen, Liqiang Nie, Kai Zheng, Yangdong Ye
2023	J	`jnl`	Multi-view graph neural network with cascaded attention for lncRNA-miRNA interaction prediction. Knowl. Based Syst. Hui Li, Bin Wu, Miaomiao Sun, Yangdong Ye, Zhenfeng Zhu, Kuisheng Chen
2023	J	`jnl`	Mutual Boost Network for attributed graph clustering. Expert Syst. Appl. Xiaoqiang Yan, Xiangyu Yu, Shizhe Hu, Yangdong Ye
2023	J	`jnl`	Self-supervised temporal autoencoder for egocentric action segmentation. Eng. Appl. Artif. Intell. Mingming Zhang, Dong Liu, Shizhe Hu, Xiaoqiang Yan, Zhongchuan Sun, Yangdong Ye
2022	—	`conf`	A Novel Method for Constructing Knowledge Graph of Railway Safety Risk. CSAE Ying Wang, Youwei Wang, Yangdong Ye
2022	A*	`conf`	A Parameter-free Multi-view Information Bottleneck Clustering Method by Cross-view Weighting. ACM Multimedia Shizhe Hu, Ruilin Geng, Zhaoxu Cheng, Chaoyang Zhang, Guoliang Zou, Zhengzheng Lou, Yangdong Ye
2022	J	`jnl`	A novel gene functional similarity calculation model by utilizing the specificity of terms and relationships in gene ontology. BMC Bioinform. Zhen Tian, Haichuan Fang, Yangdong Ye, Zhenfeng Zhu
2022	—	`conf`	Crowd Counting Using Scale Enhanced Network with Dual Attention Booster. ACAI Xin Zeng, Shizhe Hu, Qiang Guo, Yunpeng Wu, Yangdong Ye
2022	J	`jnl`	DMIB: Dual-Correlated Multivariate Information Bottleneck for Multiview Clustering. IEEE Trans. Cybern. Shizhe Hu, Zenglin Shi, Yangdong Ye
2022	J	`jnl`	Deep correlation mining for multi-task image clustering. Expert Syst. Appl. Xiaoqiang Yan, Kaiyuan Shi, Yangdong Ye, Hui Yu
2022	J	`jnl`	EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things. IEEE Internet Things J. Bin Wu, Lihong Zhong, Lina Yao, Yangdong Ye
2022	J	`jnl`	Efficient complementary graph convolutional network without negative sampling for item recommendation. Knowl. Based Syst. Bin Wu, Lihong Zhong, Hui Li, Yangdong Ye
2022	J	`jnl`	Explanation guided cross-modal social image clustering. Inf. Sci. Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, Hui Yu, Fei-Yue Wang
2022	J	`jnl`	Gating augmented capsule network for sequential recommendation. Knowl. Based Syst. Qi Zhang, Bin Wu, Zhongchuan Sun, Yangdong Ye
2022	J	`jnl`	MHADTI: predicting drug-target interactions via multiview heterogeneous information network embedding with hierarchical attention mechanisms. Briefings Bioinform. Zhen Tian, Xiangyu Peng, Haichuan Fang, Wenjie Zhang, Qiguo Dai, Yangdong Ye
2022	J	`jnl`	Modeling Product's Visual and Functional Characteristics for Recommender Systems. IEEE Trans. Knowl. Data Eng. Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng, Yangdong Ye
2022	J	`jnl`	Sequential graph collaborative filtering. Inf. Sci. Zhongchuan Sun, Bin Wu, Youwei Wang, Yangdong Ye
2022	J	`jnl`	View-Wise Versus Cluster-Wise Weight: Which Is Better for Multi-View Clustering? IEEE Trans. Image Process. Shizhe Hu, Zhengzheng Lou, Yangdong Ye
2021	A*	`conf`	Deep Mutual Information Maximin for Cross-Modal Clustering. AAAI Yiqiao Mao, Xiaoqiang Yan, Qiang Guo, Yangdong Ye
2021	J	`jnl`	Deep multi-view learning methods: A review. Neurocomputing Xiaoqiang Yan, Shizhe Hu, Yiqiao Mao, Yangdong Ye, Hui Yu
2021	J	`jnl`	Interactive information bottleneck for high-dimensional co-occurrence data clustering. Appl. Soft Comput. Shizhe Hu, Ruobin Wang, Yangdong Ye
2021	J	`jnl`	Learning a deep network with cross-hierarchy aggregation for crowd counting. Knowl. Based Syst. Qiang Guo, Xin Zeng, Shizhe Hu, Sonephet Phoummixay, Yangdong Ye
2021	J	`jnl`	Multi-Task Image Clustering through Correlation Propagation. IEEE Trans. Knowl. Data Eng. Shizhe Hu, Xiaoqiang Yan, Yangdong Ye
2021	J	`jnl`	Multi-view content-context information bottleneck for image clustering. Expert Syst. Appl. Shizhe Hu, Bo Wang, Zhengzheng Lou, Yangdong Ye
2021	J	`jnl`	Neural guided visual slam system with Laplacian of Gaussian operator. IET Comput. Vis. Ge Zhang, Xiaoqiang Yan, Yulong Xu, Yangdong Ye
2021	J	`jnl`	Semantic Loop Closure Detection With Instance-Level Inconsistency Removal in Dynamic Industrial Scenes. IEEE Trans. Ind. Informatics Haosheng Chen, Ge Zhang, Yangdong Ye
2020	J	`jnl`	A Joint Symbol-Detection, Channel-Estimation and Decoding Scheme under Few-Bit ADCs in mmWave Communications. Sensors Peng Sun, Fei Liu, Jianhua Cui, Wei Wang, Yangdong Ye, Zhongyong Wang
2020	J	`jnl`	ATM: An Attentive Translation Model for Next-Item Recommendation. IEEE Trans. Ind. Informatics Bin Wu, Xiangnan He, Zhongchuan Sun, Liang Chen, Yangdong Ye
2020	J	`jnl`	An Information Maximization Multi-task Clustering Method for egocentric temporal segmentation. Appl. Soft Comput. Mingming Zhang, Xiaoqiang Yan, Shizhe Hu, Yangdong Ye
2020	J	`jnl`	Aspect terms grouping via fusing concepts and context information. Inf. Fusion Shufeng Xiong, Ming Cheng, Vishwash Batra, Tao Qian, Bingkun Wang, Yangdong Ye
2020	J	`jnl`	BSPR: Basket-sensitive personalized ranking for product recommendation. Inf. Sci. Bin Wu, Yangdong Ye
2020	J	`jnl`	CMIB: Unsupervised Image Object Categorization in Multiple Visual Contexts. IEEE Trans. Ind. Informatics Xiaoqiang Yan, Yangdong Ye, Xueying Qiu, Milos Manic, Hui Yu
2020	Misc	`conf`	Content Vs Context: How About "Walking Hand-In-Hand" For Image Clustering? ICASSP Shizhe Hu, Zhenquan Hou, Zhengzheng Lou, Yangdong Ye
2020	J	`jnl`	DSPNet: Deep scale purifier network for dense crowd counting. Expert Syst. Appl. Xin Zeng, Yunpeng Wu, Shizhe Hu, Ruobin Wang, Yangdong Ye
2020	J	`jnl`	Dynamic auto-weighted multi-view co-clustering. Pattern Recognit. Shizhe Hu, Xiaoqiang Yan, Yangdong Ye
2020	A	`conf`	Heterogeneous Dual-Task Clustering with Visual-Textual Information. SDM Xiaoqiang Yan, Yiqiao Mao, Shizhe Hu, Yangdong Ye
2020	J	`jnl`	Joint specific and correlated information exploration for multi-view action clustering. Inf. Sci. Shizhe Hu, Xiaoqiang Yan, Yangdong Ye
2020	J	`jnl`	Multi-granularity environment perception based on octree occupancy grid. Multim. Tools Appl. Ge Zhang, Bin Wu, Yulong Xu, Yangdong Ye
2020	J	`jnl`	Multi-task Information Bottleneck Co-clustering for Unsupervised Cross-view Human Action Categorization. ACM Trans. Knowl. Discov. Data Xiaoqiang Yan, Zhengzheng Lou, Shizhe Hu, Yangdong Ye
2020	—	`conf`	SWE: a novel method with semantic-weighted edge for measuring gene functional similarity. BIBM Zhen Tian, Haichuan Fang, Yangdong Ye, Zhenfeng Zhu
2020	J	`jnl`	Synergetic information bottleneck for joint multi-view and ensemble clustering. Inf. Fusion Xiaoqiang Yan, Yangdong Ye, Xueying Qiu, Hui Yu
2019	J	`jnl`	A fast two-objective differential evolution for the two-objective coverage problem of WSNs. Memetic Comput. Yulong Xu, Yangdong Ye, Han Zhang, Wenbing Zhang, Yali Lv
2019	J	`jnl`	APL: Adversarial Pairwise Learning for Recommender Systems. Expert Syst. Appl. Zhongchuan Sun, Bin Wu, Yunpeng Wu, Yangdong Ye
2019	J	`jnl`	Loop Closure Detection Via Maximization of Mutual Information. IEEE Access Ge Zhang, Xiaoqiang Yan, Yangdong Ye
2019	J	`jnl`	Shared-Private Information Bottleneck Method for Cross-Modal Clustering. IEEE Access Xiaoqiang Yan, Yangdong Ye, Yiqiao Mao, Hui Yu
2019	J	`jnl`	Visual appearance or functional complementarity: Which aspect affects your decision making? Inf. Sci. Bin Wu, Yangdong Ye, Yun Chen
2018	J	`jnl`	Collective Density Clustering for Coherent Motion Detection. IEEE Trans. Multim. Yunpeng Wu, Yangdong Ye, Chenyang Zhao, Zenglin Shi
2018	A*	`conf`	Crowd Counting With Deep Negative Correlation Learning. CVPR Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng
2018	J	`jnl`	Multiscale Multitask Deep NetVLAD for Crowd Counting. IEEE Trans. Ind. Informatics Zenglin Shi, Le Zhang, Yibo Sun, Yangdong Ye
2018	J	`jnl`	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 Jia Qu, Zenglin Shi, Yangdong Ye
2017	J	`jnl`	Empirical study of symbolic aggregate approximation for time series classification. Intell. Data Anal. Wei Song, Zhiguang Wang, Fan Zhang, Yangdong Ye, Ming Fan
2017	A*	`conf`	Multi-task Clustering of Human Actions by Sharing Information. CVPR Xiaoqiang Yan, Shizhe Hu, Yangdong Ye
2016	J	`jnl`	Rank-based pooling for deep convolutional neural networks. Neural Networks Zenglin Shi, Yangdong Ye, Yunpeng Wu
2016	J	`jnl`	Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization. CoRR Zhiguang Wang, Wei Song, Lu Liu, Fan Zhang, Junxiao Xue, Yangdong Ye, Ming Fan, Mingliang Xu
2016	J	`jnl`	Robust natural image segmentation by using spatially constrained multivariate mixed Student's t-distribution and TV flow edge. J. Vis. Commun. Image Represent. Yong Yang, Ling Guo, Yangdong Ye
2016	A*	`conf`	Unsupervised Human Action Categorization with Consensus Information Bottleneck Method. IJCAI Xiaoqiang Yan, Yangdong Ye, Xueying Qiu
2016	J	`jnl`	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 Peng Jiang, Yangdong Ye, Zhengzheng Lou
2015	A*	`conf`	Coherent Motion Detection with Collective Density Clustering. ACM Multimedia Yunpeng Wu, Yangdong Ye, Chenyang Zhao
2015	J	`jnl`	Collective Crowd Formation Transform with Mutual Information-Based Runtime Feedback. Comput. Graph. Forum Mingliang Xu, Yunpeng Wu, Yangdong Ye, Illés J. Farkas, Hao Jiang, Zhigang Deng
2015	J	`jnl`	Empirical Studies on Symbolic Aggregation Approximation Under Statistical Perspectives for Knowledge Discovery in Time Series. CoRR Wei Song, Zhiguang Wang, Yangdong Ye, Ming Fan
2015	—	`conf`	Empirical studies on Symbolic Aggregation approximation under statistical perspectives for knowledge discovery in time series. FSKD Wei Song, Zhiguang Wang, Yangdong Ye, Ming Fan
2015	J	`jnl`	Incorporating side information into multivariate Information Bottleneck for generating alternative clusterings. Pattern Recognit. Lett. Yangdong Ye, Ruina Liu, Zhengzheng Lou
2015	J	`jnl`	Instance-based ensemble pruning for imbalanced learning. Intell. Data Anal. Weimei Zhi, Huaping Guo, Ming Fan, Yangdong Ye
2015	—	`conf`	Transformer Fault Diagnosis Algorithm Based on Entropy-Weighting Information Bottleneck Method. CyberC Hongxing Lu, Yangdong Ye, Gang Chen
2015	J	`jnl`	Unsupervised video categorization based on multivariate information bottleneck method. Knowl. Based Syst. Xiaoqiang Yan, Yangdong Ye, Zhengzheng Lou
2015	J	`jnl`	miSFM: On combination of Mutual Information and Social Force Model towards simulating crowd evacuation. Neurocomputing Mingliang Xu, Yunpeng Wu, Pei Lv, Hao Jiang, Mingxuan Luo, Yangdong Ye
2015	J	`jnl`	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 Qian Chen, Wei She, Yangdong Ye
2014	J	`jnl`	A Combination Weighting Algorithm using Relative Entropy for Document Clustering. Int. J. Pattern Recognit. Artif. Intell. Bo Ji, Yangdong Ye, Yu Xiao
2014	J	`jnl`	AA-FVDM: An accident-avoidance full velocity difference model for animating realistic street-level traffic in rural scenes. Comput. Animat. Virtual Worlds Xuequan Lu, Wenzhi Chen, Mingliang Xu, Zonghui Wang, Zhigang Deng, Yangdong Ye
2014	J	`jnl`	Analysis of real-time system conflict based on fuzzy time Petri nets. J. Intell. Fuzzy Syst. Zhao Tian, Zundong Zhang, Yangdong Ye, Limin Jia
2014	—	`conf`	Dynamic threshold model based probabilistic latent semantic analysis. FSKD Yiming Wang, Yangdong Ye, Zhenfeng Zhu
2013	J	`jnl`	Character Behavior Planning and Visual Simulation in Virtual 3D Space. IEEE Multim. Mingliang Xu, Zhigeng Pan, Mingmin Zhang, Pei Lv, Pengyu Zhu, Yangdong Ye, Wei Song
2013	J	`jnl`	Mutual information evaluation: A way to predict the performance of feature weighting on clustering. Intell. Data Anal. Bo Ji, Yangdong Ye, Yu Xiao
2013	A*	`conf`	The Multi-Feature Information Bottleneck with Application to Unsupervised Image Categorization. IJCAI Zhengzheng Lou, Yangdong Ye, Xiaoqiang Yan
2012	B	`conf`	Fault diagnosis via fuzzy time analysis. FUZZ-IEEE Wei She, Yangdong Ye
2012	B	`conf`	Information Bottleneck with Local Consistency. PRICAI Zhengzheng Lou, Yangdong Ye, Zhenfeng Zhu
2012	J	`jnl`	Inverse matrix-free incremental proximal support vector machine. Decis. Support Syst. Zhenfeng Zhu, Xingquan Zhu, Yue-Fei Guo, Yangdong Ye, Xiangyang Xue
2012	C	`conf`	PPN: A probabilistic model for fault detection and diagnosis. ISDA Wei She, Yangdong Ye
2012	A	`conf`	Parallel proximal support vector machine for high-dimensional pattern classification. CIKM Zhenfeng Zhu, Xingquan Zhu, Yangdong Ye, Yue-Fei Guo, Xiangyang Xue
2012	A*	`conf`	Smooth and efficient crowd transformation. ACM Multimedia Mingliang Xu, Yunpeng Wu, Yangdong Ye
2011	—	`conf`	Developing a feature weight self-adjustment mechanism for the CD-sIB algorithm. FSKD Bo Ji, Yangdong Ye
2011	—	`conf`	Image segmentation via IB method. FSKD Nan Wu, Yangdong Ye, Zhengzheng Lou
2011	J	`jnl`	Iterative sIB algorithm. Pattern Recognit. Lett. Huaqiang Yuan, Yangdong Ye
2011	A	`conf`	Transfer active learning. CIKM Zhenfeng Zhu, Xingquan Zhu, Yangdong Ye, Yue-Fei Guo, Xiangyang Xue
2011	J	`jnl`	Using local density information to improve IB algorithms. Pattern Recognit. Lett. Yangdong Ye, Yongli Ren, Gang Li
2010	J	`jnl`	Moving-Target Pursuit Algorithm Using Improved Tracking Strategy. IEEE Trans. Comput. Intell. AI Games Mingliang Xu, Zhigeng Pan, Hongxing Lu, Yangdong Ye, Pei Lv, Abdennour El Rhalibi
2010	A*	`conf`	Unsupervised object category discovery via information bottleneck method. ACM Multimedia Zhengzheng Lou, Yangdong Ye, Dong Liu
2008	—	`conf`	Approach of Train Group Operation Conflict Prevention Reasoning Based on Fuzzy Time Petri Nets. NCM (2) Guoqiang Cai, Shimin Zhao, Limin Jia, Yangdong Ye, Xi Li
2008	—	`conf`	The Density Connectivity Information Bottleneck. ICYCS Yongli Ren, Yangdong Ye, Gang Li
2008	B	`conf`	The Density-Based Agglomerative Information Bottleneck. PRICAI Yongli Ren, Yangdong Ye, Gang Li
2007	—	`conf`	Uncertain Temporal Knowledge Reasoning of Train Group Operation Based on Extended Fuzzy-Timing Petri Nets. ICFIE Yangdong Ye, Hongxing Lu, Junxia Ma, Limin Jia
2006	—	`conf`	A multi-agent model of railway intelligent safety guarantee system. Computational Intelligence Guoqiang Cai, Zundong Zhang, Limin Jia, Yangdong Ye
2006	—	`conf`	Abnormal Behavior Detection for Early Warning of Terrorist Attack. Australian Conference on Artificial Intelligence Xin Geng, Gang Li, Yangdong Ye, Yiqing Tu, Honghua Dai
2006	B	`conf`	Determine the Optimal Parameter for Information Bottleneck Method. PRICAI Gang Li, Dong Liu, Yangdong Ye, Jia Rong
2006	C	`conf`	Finding the Optimal Cardinality Value for Information Bottleneck Method. ADMA Gang Li, Dong Liu, Yiqing Tu, Yangdong Ye
2005	—	`conf`	A Study of Train Group Operation Multi-agent Model Oriented to RITS. KES (1) Yangdong Ye, Zundong Zhang, Honghua Dai, Limin Jia
2005	—	`conf`	Analysis of Temporal Uncertainty of Trains Converging Based on Fuzzy Time Petri Nets. FSKD (1) Yangdong Ye, Juan Wang, Limin Jia
2005	—	`conf`	Research on Software Requirement Analysis Method Based on Five-Key Elements Arrange. Software Engineering Research and Practice Wei Fu, Guoqiang Cai, Limin Jia, Yangdong Ye, Ye Zhang
2005	C	`conf`	Research on train group operation model in RITS. ISADS Yangdong Ye, Zundong Zhang, Limin Jia, Honghua Dai
2004	Misc	`conf`	Predictive Analysis Method Based on Railway Ticket Data Warehouse. IKE Guoqiang Cai, Yangdong Ye, Xiaoyan Lv, Limin Jia