Bin Zhou

According to our database, Bin Zhou authored at least 136 papers between 2003 and 2024.

Collaborative distances:

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

2024

DraftFed: A Draft-Based Personalized Federated Learning Approach for Heterogeneous Convolutional Neural Networks.

Yuying Liao, Le Ma, Bin Zhou, Xuechen Zhao, Feng Xie

IEEE Trans. Mob. Comput., May, 2024

Task-Driven ADDIE-Twist Model With a Teach-Study Double-Helix Structure.

Liqi Lai, Luyao Wang, Rui Huang, Zoe Lin Jiang, Junbo Huang, Wenyue Shi, Bin Zhou, Renzhang Chen, Bin Lei, Junbin Fang

IEEE Trans. Educ., February, 2024

Modality translation-based multimodal sentiment analysis under uncertain missing modalities.

Zhizhong Liu, Bin Zhou, Dianhui Chu, Yuhang Sun, Lingqiang Meng

Inf. Fusion, January, 2024

Zero-shot stance detection based on multi-perspective transferable feature fusion.

Xuechen Zhao, Jiaying Zou, Jinfeng Miao, Lei Tian, Liqun Gao, Bin Zhou, Shengnan Pang

Inf. Fusion, 2024

A Multi-modal Prompt Learning Framework for Early Detection of Fake News.

Weiqi Hu, Ye Wang, Yan Jia, Qing Liao, Bin Zhou

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

Feature Interaction for Temporal Knowledge Graph Extrapolation.

Yinxuan Huang, Chenxi Zhu, Kai Chen, Xuechen Zhao, Liqun Gao, Kai Xiao, Yanyi Huang, Bin Zhou

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

MSFR: Stance Detection Based on Multi-Aspect Semantic Feature Representation via Hierarchical Contrastive Learning.

Xuechen Zhao, Lei Tian, Feng Xie, Bin Zhou, Haiyang Wang, Hongzhou Wu, Liqun Gao

Proceedings of the IEEE International Conference on Acoustics, 2024

F²RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation.

Haiyang Wang, Yuchen Pan, Xin Song, Xuechen Zhao, Minghao Hu, Bin Zhou

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Intent-Aware and Hate-Mitigating Counterspeech Generation via Dual-Discriminator Guided LLMs.

Haiyang Wang, Zhiliang Tian, Xin Song, Yue Zhang, Yuchen Pan, Hongkui Tu, Minlie Huang, Bin Zhou

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset.

Haiyang Wang, Ye Wang, Xin Song, Bin Zhou, Xuechen Zhao, Feng Xie

World Wide Web (WWW), September, 2023

PerHeFed: A general framework of personalized federated learning for heterogeneous convolutional neural networks.

Le Ma, Yuying Liao, Bin Zhou, Wen Xi

World Wide Web (WWW), July, 2023

Feature Enhanced Zero-Shot Stance Detection via Contrastive Learning.

Xuechen Zhao, Jiaying Zou, Zhong Zhang, Feng Xie, Bin Zhou, Lei Tian

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Improving Knowledge Graph Entity Alignment with Graph Augmentation.

Feng Xie, Xiang Zeng, Bin Zhou, Yusong Tan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Domain Generalized Fundus Image Segmentation via Dual-Level Mixing.

Xin Luo, Wei Chen, Chen Li, Bin Zhou, Yusong Tan

Proceedings of the IEEE International Conference on Acoustics, 2023

MixTEA: Semi-supervised Entity Alignment with Mixture Teaching.

Feng Xie, Xin Song, Xiang Zeng, Xuechen Zhao, Lei Tian, Bin Zhou, Yusong Tan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Adversarial Learning-Based Stance Classifier for COVID-19-Related Health Policies.

Feng Xie, Zhong Zhang, Xuechen Zhao, Haiyang Wang, Jiaying Zou, Lei Tian, Bin Zhou, Yusong Tan

Proceedings of the Database Systems for Advanced Applications, 2023

A Unified Framework for Unseen Target Stance Detection based on Feature Enhancement via Graph Contrastive Learning.

Xuechen Zhao, Jiaying Zou, Lei Tian, Feng Xie, Haiyang Wang, Hongzhou Wu, Bin Zhou, Jie Tian

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Incorporating Mental State into Contrastive Learning for Fine-grained Implicit Hate Speech Classification.

Haiyang Wang, Xin Song, Bin Zhou, Xuechen Zhao

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

A Unified Information Diffusion Prediction Model Based on Multi-task Learning.

Yingdan Shang, Bin Zhou, Xiang Zeng, Kai Chen

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Multi-Level Consistency Learning for Source-Free Model Adaptation.

Xin Luo, Wei Chen, Chen Li, Bin Zhou, Yusong Tan

IEEE Robotics Autom. Lett., 2022

Zero-shot stance detection based on cross-domain feature enhancement by contrastive learning.

Xuechen Zhao, Jiaying Zou, Zhong Zhang, Feng Xie, Bin Zhou, Lei Tian

CoRR, 2022

Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies.

Feng Xie, Zhong Zhang, Xuechen Zhao, Jiaying Zou, Bin Zhou, Yusong Tan

CoRR, 2022

Info-HGCN: Hyperbolic Graph Convolution Networks for Information Diffusion Prediction.

Xiang Zeng, Xin Song, Yingdan Shang, Feng Xie, Bin Zhou

Proceedings of the IEEE Smartworld, 2022

Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting.

Feng Xie, Zhong Zhang, Xuechen Zhao, Bin Zhou, Yusong Tan

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting.

Feng Xie, Zhong Zhang, Liang Li, Bin Zhou, Yusong Tan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Zero-Shot Stance Detection via Sentiment-Stance Contrastive Learning.

Jiaying Zou, Xuechen Zhao, Feng Xie, Bin Zhou, Zhong Zhang, Lei Tian

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Multitask Learning Neural Networks for Pandemic Prediction with Public Stance Enhancement.

Zhong Zhang, Feng Xie, Xuechen Zhao, Bin Zhou, Jian Chen, Lei Tian

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Domain-adaptive Graph based on Post-hoc Explanation for Cross-domain Hate Speech Detection.

Yushan Jiang, Bin Zhou, Xuechen Zhao, Jiaying Zou, Feng Xie, Liang Li

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Multiple Sequential Network Attacks Detection Based on DTW-HMM.

Haitian Liu, Rong Jiang, Bin Zhou, Xing Rong, Juan Li, Aiping Li

Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 2022

Prediction of Real Popularity based on Sample Debias.

Liang Li, Liqun Gao, Feng Xie, Bin Zhou

Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 2022

TiSA: a Time Interval Aware Self-Attention model for Popularity Prediction on Social Networks.

Xiang Zeng, Yujia Liu, Xin Song, Yingdan Shang, Bin Zhou

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

Social Unrest Events Prediction by Contextual Gated Graph Convolutional Networks.

Haiyang Wang, Bin Zhou, Zhipin Gu, Yan Jia

Proceedings of the MDATA: A New Knowledge Representation Model, 2021

Information Cascading in Social Networks.

Liqun Gao, Bin Zhou, Yan Jia, Hongkui Tu, Ye Wang

Proceedings of the MDATA: A New Knowledge Representation Model, 2021

The Framework of the MDATA Computing Model.

Yan Jia, Aiping Li, Zhaoquan Gu, Bin Zhou, Ye Wang, Xiang Wang, Hongkui Tu

Proceedings of the MDATA: A New Knowledge Representation Model, 2021

Rumor Detection Based on SAGNN: Simplified Aggregation Graph Neural Networks.

Liang Zhang, Jingqun Li, Bin Zhou, Yan Jia

Mach. Learn. Knowl. Extr., 2021

Public Opinion Early Warning Agent Model: A Deep Learning Cascade Virality Prediction Model Based on Multi-Feature Fusion.

Liqun Gao, Yujia Liu, Hongwu Zhuang, Haiyang Wang, Bin Zhou, Aiping Li

Frontiers Neurorobotics, 2021

Popularity Prediction of Online Contents via Cascade Graph and Temporal Information.

Yingdan Shang, Bin Zhou, Ye Wang, Aiping Li, Kai Chen, Yichen Song, Changjian Lin

Axioms, 2021

Performance Evaluation of Pre-trained Models in Sarcasm Detection Task.

Haiyang Wang, Xin Song, Bin Zhou, Ye Wang, Liqun Gao, Yan Jia

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

MSSF-GCN: Multi-scale Structural and Semantic Information Fusion Graph Convolutional Network for Controversy Detection.

Haiyang Wang, Xin Song, Bin Zhou, Ye Wang, Liqun Gao, Yan Jia

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

BEHIND: a 4W-oriented Method for Event Detection from Twitter.

Kang Zeng, Yujia Liu, Xin Song, Bin Zhou

Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

KatGCN: Knowledge-Aware Attention based Temporal Graph Convolutional Network for Multi-Event Prediction.

Xin Song, Haiyang Wang, Kang Zeng, Yujia Liu, Bin Zhou

Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

A Meta-path Based Graph Convolutional Network with Multi-scale Semantic Extractions for Heterogeneous Event Classification.

Haiyang Wang, Xin Song, Yujia Liu, Chenguang Chen, Bin Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Content Matters: A GNN-Based Model Combined with Text Semantics for Social Network Cascade Prediction.

Yujia Liu, Kang Zeng, Haiyang Wang, Xin Song, Bin Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

DGCN-rs: A Dilated Graph Convolutional Networks Jointly Modelling Relation and Semantic for Multi-event Forecasting.

Xin Song, Haiyang Wang, Bin Zhou

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Modeling Connection Strength in Graph Neural Networks for Social Influence Prediction.

Hongwu Zhuang, Bin Zhou, Wen Xi, Liqun Gao, Haiyang Wang

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

PTMT: Multi-Target Stance Detection with PTM-enhanced Multi-Task Learning.

Wen Xi, Chenguang Chen, Hongwu Zhuang, Haiyang Wang, Liqun Gao, Bin Zhou

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

Rumor Detection on Social Media Using Temporal Dynamic Structure and Emotional Information.

Chenming Wang, Bin Zhou, Hongkui Tu, Yujia Liu

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

A Survey of Cyber Security Approaches for Prediction.

Haitian Liu, Rong Jiang, Bin Zhou, Xing Rong, Juan Li, Aiping Li

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

A Manifold Learning Method to Passage Retrieval for Open-Domain Question Answering.

Ruidong Ding, Bin Zhou, Hongkui Tu

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

2020

Guest editorial: special issue on data science in cyberspace 2019.

Bin Zhou, Feifei Li, Jinjun Chen, Ye Wang

World Wide Web, 2020

A Measurement Model of Mutual Influence for Information Dissemination.

Liang Zhang, Yong Quan, Bin Zhou, Yan Jia, Liqun Gao

Entropy, 2020

A Multi-View Approach Based on Naming Behavioral Modeling for Aligning Chinese User Accounts across Multiple Networks.

Junxing Zhu, Xiang Wang, Qiang Liu, Xiaoyong Li, Chengcheng Shao, Bin Zhou

CoRR, 2020

A multiview approach based on naming behavioral modeling for aligning chinese user accounts across multiple networks.

Junxing Zhu, Xiang Wang, Qiang Liu, Xiaoyong Li, Chengcheng Shao, Bin Zhou

Concurr. Comput. Pract. Exp., 2020

Knowledge-Infused Pre-trained Models for KG Completion.

Han Yu, Rong Jiang, Bin Zhou, Aiping Li

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

A Graph Data Privacy-Preserving Method Based on Generative Adversarial Networks.

Aiping Li, Junbin Fang, Qianye Jiang, Bin Zhou, Yan Jia

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

A Cooperative Tracker by Fusing Correlation Filter and Siamese Network.

Bin Zhou, Xin Liu, Bineng Zhong

Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Multi-Target Stance Detection with Multi-Task Learning.

Chenguang Chen, Wen Xi, Bin Zhou

Proceedings of the ICCPR 2020: 9th International Conference on Computing and Pattern Recognition, Xiamen, China, October 30, 2020

A Low-Dimensional Representation Learning Method for Text Classification and Clustering.

Xiang Wang, Yunfan Liao, Junxing Zhu, Bin Zhou, Yan Jia

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

Contextual Gated Graph Convolutional Networks for Social Unrest Events Prediction.

Haiyang Wang, Bin Zhou, Zhipin Gu, Yan Jia

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

Deep Learning for Social Network Information Cascade Analysis: a survey.

Liqun Gao, Bin Zhou, Yan Jia, Hongkui Tu, Ye Wang, Chenguang Chen, Haiyang Wang, Hongwu Zhuang

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

2019

Deep Entity Linking via Eliminating Semantic Ambiguity With BERT.

Xiaoyao Yin, Yangchen Huang, Bin Zhou, Aiping Li, Long Lan, Yan Jia

IEEE Access, 2019

Person Entity Attribute Extraction Based on Siamese Network.

Yangchen Huang, Aiping Li, Bin Zhou, Jiuming Huang, Long Lan, Xiaoyao Yin, Yan Jia

IEEE Access, 2019

Identify Influentials Based on User Behavior Across Different Topics.

Yong Quan, Yichen Song, Lu Deng, Yan Jia, Bin Zhou, Weihong Han

Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

BICON: Connecting the Same Users of Different Social Networks using BiLSTM.

Hao Wang, Bin Zhou, Jiuming Huang, Yunxuan Liu, Xinping Zheng, Weihong Han

Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

2018

User interest mining via tags and bidirectional interactions on Sina Weibo.

Lu Deng, Yan Jia, Bin Zhou, Jiuming Huang, Yi Han

World Wide Web, 2018

Influence efficiency maximization: How can we spread information efficiently?

Xiang Zhu, Zhefeng Wang, Yu Yang, Bin Zhou, Yan Jia

J. Comput. Sci., 2018

Repost prediction incorporating time-sensitive mutual influence in social networks.

Yong Quan, Yan Jia, Bin Zhou, Weihong Han, Shudong Li

J. Comput. Sci., 2018

Structural Vulnerability of Complex Networks Under Multiple Edge-Based Attacks.

Shudong Li, Xiaobo Wu, Aiping Li, Bin Zhou, Zhihong Tian, Dawei Zhao

Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Sentiment Analysis Based on Deep Learning and Its Application in Screening for Perinatal Depression.

Yong Chen, Bin Zhou, Weina Zhang, Wenjie Gong, Guangfu Sun

Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Topic Analysis Model for Online Social Network.

Yan Jia, Lu Deng, Bin Zhou, Binxing Fang, Weihong Han, Aiping Li, Qiang Liu, Yong Quan

Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Virtual Community Detection Model and Related Research in Online Social Networks.

Yan Jia, Qiang Liu, Binxing Fang, Bin Zhou, Lu Deng, Yong Quan

Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

2017

Multi-window based ensemble learning for classification of imbalanced streaming data.

Hu Li, Ye Wang, Hua Wang, Bin Zhou

World Wide Web, 2017

Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks.

Junxing Zhu, Jiawei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Xiaokai Wei, Philip S. Yu

Sensors, 2017

Real-time personalized twitter search based on semantic expansion and quality model.

Xiang Zhu, Jiuming Huang, Bin Zhou, Aiping Li, Yan Jia

Neurocomputing, 2017

Leveraging local h-index to identify and rank influential spreaders in networks.

Qiang Liu, Yuxiao Zhu, Yan Jia, Lu Deng, Bin Zhou, Junxing Zhu, Peng Zou

CoRR, 2017

CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks.

Junxing Zhu, Jiawei Zhang, Chenwei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Philip S. Yu

IEEE Access, 2017

A Refined Method for Detecting Interpretable and Real-Time Bursty Topic in Microblog Stream.

Tao Zhang, Bin Zhou, Jiuming Huang, Yan Jia, Bing Zhang, Zhi Li

Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Topic Detection with Locally Weighted Semi-supervised Collective Learning.

Ye Wang, Yong Quan, Bin Zhou, Yanchun Zhang, Min Peng

Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

The Fine-Grained Topic Evolution Based on the Probability Model.

Xin Liu, Yan Jia, Bin Zhou, Liqun Gao

Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

CFXGBoost: Topic phrase extraction based on context features and XGBoost for knowledge base question answering.

Han Han, Fengyu Yang, Jiuming Huang, Bin Zhou

Proceedings of the 13th International Conference on Natural Computation, 2017

Semi-Supervised Collective Matrix Factorization for Topic Detection and Document Clustering.

Ye Wang, Yanchun Zhang, Bin Zhou, Yan Jia

Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

A Method of Emotional Analysis of Movie Based on Convolution Neural Network and Bi-directional LSTM RNN.

Shudong Li, Zhou Yan, Xiaobo Wu, Aiping Li, Bin Zhou

Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

Broad Learning based Multi-Source Collaborative Recommendation.

Junxing Zhu, Jiawei Zhang, Lifang He, Quanyuan Wu, Bin Zhou, Chenwei Zhang, Philip S. Yu

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Identifying users across social networks based on dynamic core interests.

Yuanping Nie, Yan Jia, Shudong Li, Xiang Zhu, Aiping Li, Bin Zhou

Neurocomputing, 2016

Sockpuppet gang detection on social media sites.

Dong Liu, Quanyuan Wu, Weihong Han, Bin Zhou

Frontiers Comput. Sci., 2016

A Novel Method of Influence Ranking via Node Degree and H-index for Community Detection.

Qiang Liu, Lu Deng, Junxing Zhu, Fenglan Li, Bin Zhou, Peng Zou

Proceedings of the Web-Age Information Management, 2016

The Prediction of User Topic Interest Based on Tags and Interaction of Users.

Lu Deng, Jiuming Huang, Yi Han, Bin Zhou, Qiang Liu

Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

An Unsupervised Method for Entity Mentions Extraction in Chinese Text.

Jing Xu, Liang Gan, Bin Zhou, Quanyuan Wu

Proceedings of the Advances in Services Computing, 2016

An Unsupervised Method for Linking Entity Mentions in Chinese Text.

Jing Xu, Liang Gan, Bin Zhou, Quanyuan Wu

Proceedings of the Advances in Services Computing, 2016

2015

Detecting Internet Hidden Paid Posters Based on Group and Individual Characteristics.

Xiang Wang, Bin Zhou, Yan Jia, Shasha Li

Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Multi-Window Based Ensemble Learning for Classification of Imbalanced Streaming Data.

Ye Wang, Hu Li, Hua Wang, Bin Zhou, Yanchun Zhang

Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Mining Personal Interests of Microbloggers Based on Free Tags in SINA Weibo.

Xiang Wang, Xiang Yu, Bin Zhou, Yan Jia

Proceedings of the Web-Age Information Management, 2015

Tracking Public Concerns: How Mobile Service Providers Understand Their Users?

Bin Zhou, Lei Deng, Jingze Li

Proceedings of the 2015 IEEE International Conference on Mobile Services, MS 2015, New York City, NY, USA, June 27, 2015

Topic Detection Based on User Intention.

Lu Deng, Yong Quan, Jing Xu, Jiuming Huang, Bin Zhou

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Do neighbor buddies make a difference in reblog likelihood? An analysis on SINA Weibo data.

Lumin Zhang, Jian Pei, Yan Jia, Bin Zhou, Xiang Wang

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Analysis on Chinese Microblog Sentiment Based on Syntax Parsing and Support Vector Machine.

Ziyan Su, Bin Zhou, Aiping Li, Yi Han

Proceedings of the Web Technologies and Applications, 2014

Identifying Users Based on Behavioral-Modeling across Social Media Sites.

Yuanping Nie, Jiuming Huang, Aiping Li, Bin Zhou

Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2013

Measuring the spreadability of users in microblogs.

Zhaoyun Ding, Yan Jia, Bin Zhou, Yi Han, Li He, Jianfeng Zhang

J. Zhejiang Univ. Sci. C, 2013

Improving Text Categorization with Semantic Knowledge in Wikipedia.

Xiang Wang, Yan Jia, Ruhua Chen, Hua Fan, Bin Zhou

IEICE Trans. Inf. Syst., 2013

Detecting real-time burst topics in microblog streams: how sentiment can help.

Lumin Zhang, Yan Jia, Bin Zhou, Yi Han

Proceedings of the 22nd International World Wide Web Conference, 2013

Social circle analysis on ego-network based on context frequent pattern mining.

Bingying Xu, Lei Deng, Yan Jia, Bin Zhou, Yi Han

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Predicting the social influence of upcoming contents in large social networks.

Yi Han, Lei Deng, Bingying Xu, Lumin Zhang, Bin Zhou, Yan Jia

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Tracking the evolution of public concerns in social media.

Lei Deng, Bingying Xu, Lumin Zhang, Yi Han, Bin Zhou, Peng Zou

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

An Efficient Approach on Answering Top-k Queries with Grid Dominant Graph Index.

Aiping Li, Jinghu Xu, Liang Gan, Bin Zhou, Yan Jia

Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

An Influence Strength Measurement via Time-Aware Probabilistic Generative Model for Microblogs.

Zhaoyun Ding, Yan Jia, Bin Zhou, Jianfeng Zhang, Yi Han, Chunfeng Yu

Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012

Contextual correlation based thread detection in short text message streams.

Jiuming Huang, Bin Zhou, Quanyuan Wu, Xiaowei Wang, Yan Jia

J. Intell. Inf. Syst., 2012

Community Detection Based on Robust Label Propagation Algorithm.

Bingying Xu, Zheng Liang, Yan Jia, Bin Zhou

Proceedings of the Trustworthy Computing and Services - International Conference, ISCTCS 2012, Beijing, China, May 28, 2012

Chinese New Words Detection Using Mutual Information.

Zheng Liang, Bingying Xu, Jie Zhao, Yan Jia, Bin Zhou

Proceedings of the Trustworthy Computing and Services - International Conference, ISCTCS 2012, Beijing, China, May 28, 2012

Microblogging Sentiment Analysis Using Emotional Vector.

Lumin Zhang, Yan Jia, Bin Zhou, Yi Han

Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

Local Community Detection Using Seeds Expansion.

Bingying Xu, Zheng Liang, Yan Jia, Bin Zhou, Yi Han

Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

Using Social Intelligence for New Event Detection in Microblog Stream.

Lei Deng, Zhaoyun Ding, Bingying Xu, Bin Zhou, Peng Zou

Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

Adaptive Topic Community Tracking in Social Network.

Zheng Liang, Yan Jia, Bin Zhou

Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

Mining Tribe-Leaders Based on the Frequent Pattern of Propagation.

Zhaoyun Ding, Yan Jia, Bin Zhou, Yi Han

Proceedings of the Web Technologies and Applications, 2012

2011

A Word Position-Related LDA Model.

Lidong Zhai, Zhaoyun Ding, Yan Jia, Bin Zhou

Int. J. Pattern Recognit. Artif. Intell., 2011

Exploring Event Evolution Patterns at the Atomic Level.

Lei Deng, Zhaoyun Ding, Bingying Xu, Bin Zhou, Yan Jia, Peng Zou

Proceedings of the 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2011

2008

Secure and Distributed P2P Reputation Management.

Jianli Hu, Quanyuan Wu, Bin Zhou

J. Commun., 2008

TTEM: An Effective Trust-Based Topology Evolution Mechanism for P2P Networks.

Jianli Hu, Quanyuan Wu, Bin Zhou

J. Commun., 2008

A Virtual Machine for Distributed Agent-oriented Programming.

Bin Zhou, Hong Zhu

Proceedings of the Twentieth International Conference on Software Engineering & Knowledge Engineering (SEKE'2008), 2008

FCTrust: A Robust and Efficient Feedback Credibility-Based Distributed P2P Trust Model.

Jianli Hu, Quanyuan Wu, Bin Zhou

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

RBTrust: A Recommendation Belief Based Distributed Trust Management Model for P2P Networks.

Jianli Hu, Quanyuan Wu, Bin Zhou

Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications, 2008

Distributed and Effective Reputation Mechanism in P2P Systems.

Jianli Hu, Quanyuan Wu, Bin Zhou

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

HOM: An Approach to Calculating Semantic Similarity Utilizing Relations between Ontologies.

Zhizhong Liu, Huaimin Wang, Bin Zhou

Proceedings of the Information Retrieval Technology, 2008

2007

An Adaptive Algorithm for Failure Recovery During Dynamic Service Composition.

Xingzhi Feng, Huaimin Wang, Quanyuan Wu, Bin Zhou

Proceedings of the Pattern Recognition and Machine Intelligence, 2007

An Adaptive <i>k</i> -Nearest Neighbors Clustering Algorithm for Complex Distribution Dataset.

Yan Zhang, Yan Jia, Xiaobin Huang, Bin Zhou, Jian Gu

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

A Scalable Mechanism for Semantic Service Discovery in Multi-ontology Environment.

Zhizhong Liu, Huaimin Wang, Bin Zhou

Proceedings of the Advances in Grid and Pervasive Computing, 2007

Automated Testing EJB Components Based on Algebraic Specifications.

Liang Kong, Hong Zhu, Bin Zhou

Proceedings of the 31st Annual International Computer Software and Applications Conference, 2007

A Grid Resource Discovery Method Based on Adaptive <i>k</i> -Nearest Neighbors Clustering.

Yan Zhang, Yan Jia, Xiaobin Huang, Bin Zhou, Jian Gu

Proceedings of the Combinatorial Optimization and Applications, 2007

A Scalable Method for Efficient Grid Resource Discovery.

Yan Zhang, Yan Jia, Xiaobin Huang, Bin Zhou, Jian Gu

Proceedings of the Cooperative Design, 2007

2006

A Fault-Tolerant Web Services Architecture.

Lingxia Liu, Yuming Meng, Bin Zhou, Quanyuan Wu

Proceedings of the Advanced Web and Network Technologies, and Applications, 2006

2005

QoS Aware Service Composition with Multiple Quality Constraints.

Bixin Liu, Quanyuan Wu, Yan Jia, Bin Zhou

Proceedings of the Network and Parallel Computing, IFIP International Conference, 2005

2004

A Practice in Facilitating Service-Oriented Inter-Enterprise Application Integration.

Bixin Liu, Yan Jia, Bin Zhou, Yufeng Wang

Proceedings of the Technologies for E-Services, 5th International Workshop, 2004

Collaborative Process Execution for Service Composition with StarWebService.

Bixin Liu, Yufeng Wang, Bin Zhou, Yan Jia

Proceedings of the Network and Parallel Computing, IFIP International Conference, 2004

Agent-Oriented Formal Specification of Web Services.

Hong Zhu, Bin Zhou, XinJun Mao, Lijun Shan, David A. Duce

Proceedings of the Grid and Cooperative Computing, 2004

A Fault-Tolerant Architecture for Grid System.

Lingxia Liu, Quanyuan Wu, Bin Zhou

Proceedings of the Grid and Cooperative Computing, 2004

Research and Implementation of CORBA Web Services.

Jianqiang Hu, Bin Zhou, Yan Jia, Peng Zou

Proceedings of the Conceptual Modeling for Advanced Application Domains, 2004

2003

Research and Implementation of Dynamic Web Services Composition.

Haiyan Sun, Xiaodong Wang, Bin Zhou, Peng Zou

Proceedings of the Advanced Parallel Programming Technologies, 5th International Workshop, 2003