Yangdong Ye

According to our database, Yangdong Ye authored at least 128 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

2024

Cross-Modal Clustering With Deep Correlated Information Bottleneck Method.

Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, Hui Yu

IEEE Trans. Neural Networks Learn. Syst., October, 2024

A Survey on Information Bottleneck.

Shizhe Hu, Zhengzheng Lou, Xiaoqiang Yan, Yangdong Ye

IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

Multiview Clustering With Propagating Information Bottleneck.

Shizhe Hu, Zenglin Shi, Xiaoqiang Yan, Zhengzheng Lou, Yangdong Ye

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Multitask Image Clustering via Deep Information Bottleneck.

Xiaoqiang Yan, Yiqiao Mao, Mingyuan Li, Yangdong Ye, Hui Yu

IEEE Trans. Cybern., March, 2024

Graph gating-mixer for sequential recommendation.

Bin Wu, Xun Su, Jing J. Liang, Zhongchuan Sun, Lihong Zhong, Yangdong Ye

Expert Syst. Appl., March, 2024

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

Yiqiao Mao, Xiaoqiang Yan, Jiaming Liu, Yangdong Ye

IEEE Trans. Multim., 2024

Contrastive cross-modal clustering with twin network.

Yiqiao Mao, Xiaoqiang Yan, Shizhe Hu, Yangdong Ye

Pattern Recognit., 2024

Differentiable self-supervised clustering with intrinsic interpretability.

Xiaoqiang Yan, Zhixiang Jin, Yiqiao Mao, Yangdong Ye, Hui Yu

Neural Networks, 2024

Group-aware graph neural networks for sequential recommendation.

Zhen Huang, Zhongchuan Sun, Jiaming Liu, Yangdong Ye

Inf. Sci., 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

Adv. Eng. Informatics, 2024

Learning Dual Enhanced Representation for Contrastive Multi-view Clustering.

Guoliang Zou, Yangdong Ye, Tongji Chen, Shizhe Hu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Self-supervised Weighted Information Bottleneck for Multi-view Clustering.

Zhengzheng Lou, Chaoyang Zhang, Hang Xue, Yangdong Ye, Qinglei Zhou, Shizhe Hu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Differentiable Information Bottleneck for Deterministic Multi-View Clustering.

Xiaoqiang Yan, Zhixiang Jin, Fengshou Han, Yangdong Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning from the Future for Sequential Recommendation.

Zhongchuan Sun, Bin Wu, Yangdong Ye

Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

Live and Learn: Continual Action Clustering with Incremental Views.

Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao, Yangdong Ye, Hui Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Bin Wu, Xiangnan He, Qi Zhang, Meng Wang, Yangdong Ye

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Graph-Augmented Social Translation Model for Next-Item Recommendation.

Bin Wu, Lihong Zhong, Yangdong Ye

IEEE Trans. Ind. Informatics, November, 2023

A Bottleneck Network with Light Attention for Multimodal Clustering.

Jiaming Liu, Yiqiao Mao, Zhen Huang, Yangdong Ye

Knowl. Based Syst., November, 2023

Graph-coupled time interval network for sequential recommendation.

Bin Wu, Tianren Shi, Lihong Zhong, Yan Zhang, Yangdong Ye

Inf. Sci., November, 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., November, 2023

Mutual Boost Network for attributed graph clustering.

Xiaoqiang Yan, Xiangyu Yu, Shizhe Hu, Yangdong Ye

Expert Syst. Appl., November, 2023

Graph attentive matrix factorization for social recommendation.

Xue Zhang, Bin Wu, Yangdong Ye

Expert Syst. J. Knowl. Eng., November, 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., November, 2023

Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation.

Bin Wu, Xiangnan He, Le Wu, Xue Zhang, Yangdong Ye

IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Attentive Adversarial Collaborative Filtering.

Zhongchuan Sun, Bin Wu, Shizhe Hu, Mingming Zhang, Yangdong Ye

IEEE Trans. Syst. Man Cybern. Syst., July, 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., May, 2023

Learning From the Future: Light Cone Modeling for Sequential Recommendation.

Zhongchuan Sun, Bin Wu, Yifan Chen, Yangdong Ye

IEEE Trans. Cybern., 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

Multi-view graph neural network with cascaded attention for lncRNA-miRNA interaction prediction.

Hui Li, Bin Wu, Miaomiao Sun, Yangdong Ye, Zhenfeng Zhu, Kuisheng Chen

Knowl. Based Syst., 2023

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

Haichuan Fang, Youwei Wang, Zhen Tian, Yangdong Ye

Expert Syst. Appl., 2023

Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract).

Bin Wu, Xiangnan He, Yu Chen, Liqiang Nie, Kai Zheng, Yangdong Ye

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Dynamic Scenes Dataset.

Haosheng Chen, Ge Zhang, Yangdong Ye

Dataset, May, 2022

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

Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng, Yangdong Ye

IEEE Trans. Knowl. Data Eng., 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

DMIB: Dual-Correlated Multivariate Information Bottleneck for Multiview Clustering.

Shizhe Hu, Zenglin Shi, Yangdong Ye

IEEE Trans. Cybern., 2022

Gating augmented capsule network for sequential recommendation.

Qi Zhang, Bin Wu, Zhongchuan Sun, Yangdong Ye

Knowl. Based Syst., 2022

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

Bin Wu, Lihong Zhong, Hui Li, Yangdong Ye

Knowl. Based Syst., 2022

Explanation guided cross-modal social image clustering.

Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, Hui Yu, Fei-Yue Wang

Inf. Sci., 2022

Sequential graph collaborative filtering.

Zhongchuan Sun, Bin Wu, Youwei Wang, Yangdong Ye

Inf. Sci., 2022

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

Bin Wu, Lihong Zhong, Lina Yao, Yangdong Ye

IEEE Internet Things J., 2022

Deep correlation mining for multi-task image clustering.

Xiaoqiang Yan, Kaiyuan Shi, Yangdong Ye, Hui Yu

Expert Syst. Appl., 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

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 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

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Novel Method for Constructing Knowledge Graph of Railway Safety Risk.

Ying Wang, Youwei Wang, Yangdong Ye

Proceedings of the 6th International Conference on Computer Science and Application Engineering, 2022

Crowd Counting Using Scale Enhanced Network with Dual Attention Booster.

Xin Zeng, Shizhe Hu, Qiang Guo, Yunpeng Wu, Yangdong Ye

Proceedings of the 5th International Conference on Algorithms, 2022

2021

Multi-Task Image Clustering through Correlation Propagation.

Shizhe Hu, Xiaoqiang Yan, Yangdong Ye

IEEE Trans. Knowl. Data Eng., 2021

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

Haosheng Chen, Ge Zhang, Yangdong Ye

IEEE Trans. Ind. Informatics, 2021

Learning a deep network with cross-hierarchy aggregation for crowd counting.

Qiang Guo, Xin Zeng, Shizhe Hu, Sonephet Phoummixay, Yangdong Ye

Knowl. Based Syst., 2021

Deep multi-view learning methods: A review.

Xiaoqiang Yan, Shizhe Hu, Yiqiao Mao, Yangdong Ye, Hui Yu

Neurocomputing, 2021

Neural guided visual slam system with Laplacian of Gaussian operator.

Ge Zhang, Xiaoqiang Yan, Yulong Xu, Yangdong Ye

IET Comput. Vis., 2021

Multi-view content-context information bottleneck for image clustering.

Shizhe Hu, Bo Wang, Zhengzheng Lou, Yangdong Ye

Expert Syst. Appl., 2021

Interactive information bottleneck for high-dimensional co-occurrence data clustering.

Shizhe Hu, Ruobin Wang, Yangdong Ye

Appl. Soft Comput., 2021

Deep Mutual Information Maximin for Cross-Modal Clustering.

Yiqiao Mao, Xiaoqiang Yan, Qiang Guo, Yangdong Ye

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

CMIB: Unsupervised Image Object Categorization in Multiple Visual Contexts.

Xiaoqiang Yan, Yangdong Ye, Xueying Qiu, Milos Manic, Hui Yu

IEEE Trans. Ind. Informatics, 2020

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

Bin Wu, Xiangnan He, Zhongchuan Sun, Liang Chen, Yangdong Ye

IEEE Trans. Ind. Informatics, 2020

A Joint Symbol-Detection, Channel-Estimation and Decoding Scheme under Few-Bit ADCs in mmWave Communications.

Peng Sun, Fei Liu, Jianhua Cui, Wei Wang, Yangdong Ye, Zhongyong Wang

Sensors, 2020

Dynamic auto-weighted multi-view co-clustering.

Shizhe Hu, Xiaoqiang Yan, Yangdong Ye

Pattern Recognit., 2020

Multi-granularity environment perception based on octree occupancy grid.

Ge Zhang, Bin Wu, Yulong Xu, Yangdong Ye

Multim. Tools Appl., 2020

BSPR: Basket-sensitive personalized ranking for product recommendation.

Bin Wu, Yangdong Ye

Inf. Sci., 2020

Joint specific and correlated information exploration for multi-view action clustering.

Shizhe Hu, Xiaoqiang Yan, Yangdong Ye

Inf. Sci., 2020

Synergetic information bottleneck for joint multi-view and ensemble clustering.

Xiaoqiang Yan, Yangdong Ye, Xueying Qiu, Hui Yu

Inf. Fusion, 2020

Aspect terms grouping via fusing concepts and context information.

Shufeng Xiong, Ming Cheng, Vishwash Batra, Tao Qian, Bingkun Wang, Yangdong Ye

Inf. Fusion, 2020

DSPNet: Deep scale purifier network for dense crowd counting.

Xin Zeng, Yunpeng Wu, Shizhe Hu, Ruobin Wang, Yangdong Ye

Expert Syst. Appl., 2020

An Information Maximization Multi-task Clustering Method for egocentric temporal segmentation.

Mingming Zhang, Xiaoqiang Yan, Shizhe Hu, Yangdong Ye

Appl. Soft Comput., 2020

Heterogeneous Dual-Task Clustering with Visual-Textual Information.

Xiaoqiang Yan, Yiqiao Mao, Shizhe Hu, Yangdong Ye

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Content Vs Context: How About "Walking Hand-In-Hand" For Image Clustering?

Shizhe Hu, Zhenquan Hou, Zhengzheng Lou, Yangdong Ye

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

SWE: a novel method with semantic-weighted edge for measuring gene functional similarity.

Zhen Tian, Haichuan Fang, Yangdong Ye, Zhenfeng Zhu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

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

Yulong Xu, Yangdong Ye, Han Zhang, Wenbing Zhang, Yali Lv

Memetic Comput., 2019

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

Bin Wu, Yangdong Ye, Yun Chen

Inf. Sci., 2019

APL: Adversarial Pairwise Learning for Recommender Systems.

Zhongchuan Sun, Bin Wu, Yunpeng Wu, Yangdong Ye

Expert Syst. Appl., 2019

Loop Closure Detection Via Maximization of Mutual Information.

Ge Zhang, Xiaoqiang Yan, Yangdong Ye

IEEE Access, 2019

Shared-Private Information Bottleneck Method for Cross-Modal Clustering.

Xiaoqiang Yan, Yangdong Ye, Yiqiao Mao, Hui Yu

IEEE Access, 2019

2018

Collective Density Clustering for Coherent Motion Detection.

Yunpeng Wu, Yangdong Ye, Chenyang Zhao, Zenglin Shi

IEEE Trans. Multim., 2018

Multiscale Multitask Deep NetVLAD for Crowd Counting.

Zenglin Shi, Le Zhang, Yibo Sun, Yangdong Ye

IEEE Trans. Ind. Informatics, 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

Crowd Counting With Deep Negative Correlation Learning.

Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Multi-task Clustering of Human Actions by Sharing Information.

Xiaoqiang Yan, Shizhe Hu, Yangdong Ye

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Rank-based pooling for deep convolutional neural networks.

Zenglin Shi, Yangdong Ye, Yunpeng Wu

Neural Networks, 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

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

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

CoRR, 2016

Unsupervised Human Action Categorization with Consensus Information Bottleneck Method.

Xiaoqiang Yan, Yangdong Ye, Xueying Qiu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

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

Yangdong Ye, Ruina Liu, Zhengzheng Lou

Pattern Recognit. Lett., 2015

Unsupervised video categorization based on multivariate information bottleneck method.

Xiaoqiang Yan, Yangdong Ye, Zhengzheng Lou

Knowl. Based Syst., 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

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

Mingliang Xu, Yunpeng Wu, Pei Lv, Hao Jiang, Mingxuan Luo, Yangdong Ye

Neurocomputing, 2015

Instance-based ensemble pruning for imbalanced learning.

Weimei Zhi, Huaping Guo, Ming Fan, Yangdong Ye

Intell. Data Anal., 2015

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

Mingliang Xu, Yunpeng Wu, Yangdong Ye, Illés J. Farkas, Hao Jiang, Zhigang Deng

Comput. Graph. Forum, 2015

Coherent Motion Detection with Collective Density Clustering.

Yunpeng Wu, Yangdong Ye, Chenyang Zhao

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Empirical studies on Symbolic Aggregation approximation under statistical perspectives for knowledge discovery in time series.

Wei Song, Zhiguang Wang, Yangdong Ye, Ming Fan

Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Transformer Fault Diagnosis Algorithm Based on Entropy-Weighting Information Bottleneck Method.

Hongxing Lu, Yangdong Ye, Gang Chen

Proceedings of the 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2015

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, Yangdong Ye

Comput. Animat. Virtual Worlds, 2014

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

Zhao Tian, Zundong Zhang, Yangdong Ye, Limin Jia

J. Intell. Fuzzy Syst., 2014

A Combination Weighting Algorithm using Relative Entropy for Document Clustering.

Bo Ji, Yangdong Ye, Yu Xiao

Int. J. Pattern Recognit. Artif. Intell., 2014

Dynamic threshold model based probabilistic latent semantic analysis.

Yiming Wang, Yangdong Ye, Zhenfeng Zhu

Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

2013

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

Mingliang Xu, Zhigeng Pan, Mingmin Zhang, Pei Lv, Pengyu Zhu, Yangdong Ye, Wei Song

IEEE Multim., 2013

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

Bo Ji, Yangdong Ye, Yu Xiao

Intell. Data Anal., 2013

The Multi-Feature Information Bottleneck with Application to Unsupervised Image Categorization.

Zhengzheng Lou, Yangdong Ye, Xiaoqiang Yan

Proceedings of the IJCAI 2013, 2013

2012

Inverse matrix-free incremental proximal support vector machine.

Zhenfeng Zhu, Xingquan Zhu, Yue-Fei Guo, Yangdong Ye, Xiangyang Xue

Decis. Support Syst., 2012

Information Bottleneck with Local Consistency.

Zhengzheng Lou, Yangdong Ye, Zhenfeng Zhu

Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Smooth and efficient crowd transformation.

Mingliang Xu, Yunpeng Wu, Yangdong Ye

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

PPN: A probabilistic model for fault detection and diagnosis.

Wei She, Yangdong Ye

Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

Fault diagnosis via fuzzy time analysis.

Wei She, Yangdong Ye

Proceedings of the FUZZ-IEEE 2012, 2012

Parallel proximal support vector machine for high-dimensional pattern classification.

Zhenfeng Zhu, Xingquan Zhu, Yangdong Ye, Yue-Fei Guo, Xiangyang Xue

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Iterative sIB algorithm.

Huaqiang Yuan, Yangdong Ye

Pattern Recognit. Lett., 2011

Using local density information to improve IB algorithms.

Yangdong Ye, Yongli Ren, Gang Li

Pattern Recognit. Lett., 2011

Image segmentation via IB method.

Nan Wu, Yangdong Ye, Zhengzheng Lou

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Developing a feature weight self-adjustment mechanism for the CD-sIB algorithm.

Bo Ji, Yangdong Ye

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Transfer active learning.

Zhenfeng Zhu, Xingquan Zhu, Yangdong Ye, Yue-Fei Guo, Xiangyang Xue

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

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

Unsupervised object category discovery via information bottleneck method.

Zhengzheng Lou, Yangdong Ye, Dong Liu

Proceedings of the 18th International Conference on Multimedia 2010, 2010

2008

The Density-Based Agglomerative Information Bottleneck.

Yongli Ren, Yangdong Ye, Gang Li

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Approach of Train Group Operation Conflict Prevention Reasoning Based on Fuzzy Time Petri Nets.

Guoqiang Cai, Shimin Zhao, Limin Jia, Yangdong Ye, Xi Li

Proceedings of the NCM 2008, The Fourth International Conference on Networked Computing and Advanced Information Management, Gyeongju, Korea, September 2-4, 2008, 2008

The Density Connectivity Information Bottleneck.

Yongli Ren, Yangdong Ye, Gang Li

Proceedings of the 9th International Conference for Young Computer Scientists, 2008

2007

Uncertain Temporal Knowledge Reasoning of Train Group Operation Based on Extended Fuzzy-Timing Petri Nets.

Yangdong Ye, Hongxing Lu, Junxia Ma, Limin Jia

Proceedings of the Fuzzy Information and Engineering, 2007

2006

Determine the Optimal Parameter for Information Bottleneck Method.

Gang Li, Dong Liu, Yangdong Ye, Jia Rong

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

A multi-agent model of railway intelligent safety guarantee system.

Guoqiang Cai, Zundong Zhang, Limin Jia, Yangdong Ye

Proceedings of the Second IASTED International Conference on Computational Intelligence, 2006

Abnormal Behavior Detection for Early Warning of Terrorist Attack.

Xin Geng, Gang Li, Yangdong Ye, Yiqing Tu, Honghua Dai

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Finding the Optimal Cardinality Value for Information Bottleneck Method.

Gang Li, Dong Liu, Yiqing Tu, Yangdong Ye

Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005

Research on Software Requirement Analysis Method Based on Five-Key Elements Arrange.

Wei Fu, Guoqiang Cai, Limin Jia, Yangdong Ye, Ye Zhang

Proceedings of the International Conference on Software Engineering Research and Practice, 2005

A Study of Train Group Operation Multi-agent Model Oriented to RITS.

Yangdong Ye, Zundong Zhang, Honghua Dai, Limin Jia

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Research on train group operation model in RITS.

Yangdong Ye, Zundong Zhang, Limin Jia, Honghua Dai

Proceedings of the 2005 International Symposium on Autonomous Decentralized Systems, 2005

Analysis of Temporal Uncertainty of Trains Converging Based on Fuzzy Time Petri Nets.

Yangdong Ye, Juan Wang, Limin Jia

Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004

Predictive Analysis Method Based on Railway Ticket Data Warehouse.

Guoqiang Cai, Yangdong Ye, Xiaoyan Lv, Limin Jia

Proceedings of the International Conference on Information and Knowledge Engineering. IKE'04, 2004