Bin Zhou - RankMe

156 papers A* 6A 4B 7C 17Misc 3Journal 45Unranked 71

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	KnowFC: Navigating Knowledge Conflicts in Large Language Model-based Fact-Checking. WSDM Yue Zhang, Shicheng Zhou, Xiaopeng Li, Zhiliang Tian, Yifu Gao, Shiyi Zhang, Wenqing Hou, Yuying Liu, Bin Zhou
2026	J	`jnl`	Relation-Centric knowledge graph generation for recommendation based on conditional diffusion model. Neural Networks Lei Tian, Nan Li, Zhong Zhang, Wenqing Hou, Haiyan Liu, Xin Song, Kai Chen, Bin Zhou, Liqun Gao
2026	A*	`conf`	Schema-Guided Event Reasoning: A Plug-and-Play Event Reasoning Framework Based on Large Language Models. AAAI Yuying Liu, Xuechen Zhao, Yanyi Huang, Ye Wang, Xin Song, Yue Zhang, Haiyan Liu, Bin Zhou
2025	J	`jnl`	An ensemble approach for unsupervised anomaly and cyber attack detection. J. Comput. Secur. Haitian Liu, Rong Jiang, Bin Zhou
2025	—	`conf`	Battling against Tough Resister: Strategy Planning with Adversarial Game for Non-collaborative Dialogues. ACL (1) Haiyang Wang, Zhiliang Tian, Yuchen Pan, Xin Song, Xin Niu, Minlie Huang, Bin Zhou
2025	J	`jnl`	CapsuleBD: A Backdoor Attack Method Against Federated Learning Under Heterogeneous Models. IEEE Trans. Inf. Forensics Secur. Yuying Liao, Xuechen Zhao, Bin Zhou, Yanyi Huang
2025	Misc	`conf`	DPC: Large Model Alignment Method based on Decoding Probability Correction. ICASSP Yanyi Huang, Yuying Liu, Lei Tian, Yue Zhang, Xuechen Zhao, Bin Zhou, Guodong Ma
2025	J	`jnl`	Exemplar-Guided Planing: Enhanced LLM Agent for KGQA. CoRR Jingao Xu, Shuoyoucheng Ma, Xin Song, Rong Jiang, Hongkui Tu, Bin Zhou
2025	A*	`conf`	Flow Matching for Denoised Social Recommendation. ICML Yinxuan Huang, Ke Liang, Zhuofan Dong, Xiaodong Qu, Tianxiang Wang, Yue Han, Jingao Xu, Bin Zhou, Ye Wang
2025	J	`jnl`	Incorporating structural knowledge into language models for open knowledge graph completion. World Wide Web (WWW) Xin Song, Ye Wang, Bin Zhou, Haiyang Wang, Yanyi Huang, Liqun Gao
2025	A*	`conf`	LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs. AAAI Kai Chen, Xin Song, Ye Wang, Liqun Gao, Aiping Li, Xiaojuan Zhao, Bin Zhou, Yalong Xie
2025	A*	`conf`	MusKGC: A Flexible Multi-source Knowledge Enhancement Framework for Open-World Knowledge Graph Completion. EMNLP Xin Song, Haiyan Liu, Haiyang Wang, Ye Wang, Kai Chen, Bin Zhou
2025	J	`jnl`	RLJP: Legal Judgment Prediction via First-Order Logic Rule-enhanced with Large Language Models. CoRR Yue Zhang, Zhiliang Tian, Shicheng Zhou, Haiyang Wang, Wenqing Hou, Yuying Liu, Xuechen Zhao, Minlie Huang, Ye Wang, Bin Zhou
2025	A*	`conf`	Social Recommendation via Graph-Level Counterfactual Augmentation. AAAI Yinxuan Huang, Ke Liang, Yanyi Huang, Xiang Zeng, Kai Chen, Bin Zhou
2025	C	`conf`	ZKP-StylePatch: Hybrid NFT Anti-counterfeit Framework. ICBC Tiantian Wu, Yixuan Shen, Fan Zhang, You Jiang, Lei Yao, Bin Zhou, Junbin Fang
2024	A	`conf`	A Multi-modal Prompt Learning Framework for Early Detection of Fake News. ICWSM Weiqi Hu, Ye Wang, Yan Jia, Qing Liao, Bin Zhou
2024	J	`jnl`	DraftFed: A Draft-Based Personalized Federated Learning Approach for Heterogeneous Convolutional Neural Networks. IEEE Trans. Mob. Comput. Yuying Liao, Le Ma, Bin Zhou, Xuechen Zhao, Feng Xie
2024	—	`conf`	Feature Interaction for Temporal Knowledge Graph Extrapolation. ICIC (13) Yinxuan Huang, Chenxi Zhu, Kai Chen, Xuechen Zhao, Liqun Gao, Kai Xiao, Yanyi Huang, Bin Zhou
2024	A*	`conf`	F²RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation. EMNLP Haiyang Wang, Yuchen Pan, Xin Song, Xuechen Zhao, Minghao Hu, Bin Zhou
2024	—	`conf`	Intent-Aware and Hate-Mitigating Counterspeech Generation via Dual-Discriminator Guided LLMs. LREC/COLING Haiyang Wang, Zhiliang Tian, Xin Song, Yue Zhang, Yuchen Pan, Hongkui Tu, Minlie Huang, Bin Zhou
2024	Misc	`conf`	MSFR: Stance Detection Based on Multi-Aspect Semantic Feature Representation via Hierarchical Contrastive Learning. ICASSP Xuechen Zhao, Lei Tian, Feng Xie, Bin Zhou, Haiyang Wang, Hongzhou Wu, Liqun Gao
2024	J	`jnl`	Modality translation-based multimodal sentiment analysis under uncertain missing modalities. Inf. Fusion Zhizhong Liu, Bin Zhou, Dianhui Chu, Yuhang Sun, Lingqiang Meng
2024	J	`jnl`	Task-Driven ADDIE-Twist Model With a Teach-Study Double-Helix Structure. IEEE Trans. Educ. Liqi Lai, Luyao Wang, Rui Huang, Zoe Lin Jiang, Junbo Huang, Wenyue Shi, Bin Zhou, Renzhang Chen, Bin Lei, Junbin Fang
2024	J	`jnl`	Zero-shot stance detection based on multi-perspective transferable feature fusion. Inf. Fusion Xuechen Zhao, Jiaying Zou, Jinfeng Miao, Lei Tian, Liqun Gao, Bin Zhou, Shengnan Pang
2023	B	`conf`	A Unified Framework for Unseen Target Stance Detection based on Feature Enhancement via Graph Contrastive Learning. CogSci Xuechen Zhao, Jiaying Zou, Lei Tian, Feng Xie, Haiyang Wang, Hongzhou Wu, Bin Zhou, Jie Tian
2023	—	`conf`	A Unified Information Diffusion Prediction Model Based on Multi-task Learning. ADMA (4) Yingdan Shang, Bin Zhou, Xiang Zeng, Kai Chen
2023	—	`conf`	Adversarial Learning-Based Stance Classifier for COVID-19-Related Health Policies. DASFAA (4) Feng Xie, Zhong Zhang, Xuechen Zhao, Haiyang Wang, Jiaying Zou, Lei Tian, Bin Zhou, Yusong Tan
2023	Misc	`conf`	Domain Generalized Fundus Image Segmentation via Dual-Level Mixing. ICASSP Xin Luo, Wei Chen, Chen Li, Bin Zhou, Yusong Tan
2023	A	`conf`	Feature Enhanced Zero-Shot Stance Detection via Contrastive Learning. SDM Xuechen Zhao, Jiaying Zou, Zhong Zhang, Feng Xie, Bin Zhou, Lei Tian
2023	—	`conf`	Improving Knowledge Graph Entity Alignment with Graph Augmentation. PAKDD (2) Feng Xie, Xiang Zeng, Bin Zhou, Yusong Tan
2023	J	`jnl`	Improving Knowledge Graph Entity Alignment with Graph Augmentation. CoRR Feng Xie, Xiang Zeng, Bin Zhou, Yusong Tan
2023	B	`conf`	Incorporating Mental State into Contrastive Learning for Fine-grained Implicit Hate Speech Classification. CogSci Haiyang Wang, Xin Song, Bin Zhou, Xuechen Zhao
2023	—	`conf`	MixTEA: Semi-supervised Entity Alignment with Mixture Teaching. EMNLP (Findings) Feng Xie, Xin Song, Xiang Zeng, Xuechen Zhao, Lei Tian, Bin Zhou, Yusong Tan
2023	J	`jnl`	MixTEA: Semi-supervised Entity Alignment with Mixture Teaching. CoRR Feng Xie, Xin Song, Xiang Zeng, Xuechen Zhao, Lei Tian, Bin Zhou, Yusong Tan
2023	J	`jnl`	Multimodal Sentiment Analysis Using BiGRU and Attention-Based Hybrid Fusion Strategy. Intell. Autom. Soft Comput. Zhizhong Liu, Bin Zhou, Lingqiang Meng, Guangyu Huang
2023	J	`jnl`	PerHeFed: A general framework of personalized federated learning for heterogeneous convolutional neural networks. World Wide Web (WWW) Le Ma, Yuying Liao, Bin Zhou, Wen Xi
2023	J	`jnl`	Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset. World Wide Web (WWW) Haiyang Wang, Ye Wang, Xin Song, Bin Zhou, Xuechen Zhao, Feng Xie
2022	J	`jnl`	Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies. CoRR Feng Xie, Zhong Zhang, Xuechen Zhao, Jiaying Zou, Bin Zhou, Yusong Tan
2022	B	`conf`	Domain-adaptive Graph based on Post-hoc Explanation for Cross-domain Hate Speech Detection. ICTAI Yushan Jiang, Bin Zhou, Xuechen Zhao, Jiaying Zou, Feng Xie, Liang Li
2022	—	`conf`	EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting. ECML/PKDD (6) Feng Xie, Zhong Zhang, Liang Li, Bin Zhou, Yusong Tan
2022	J	`jnl`	EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting. CoRR Feng Xie, Zhong Zhang, Liang Li, Bin Zhou, Yusong Tan
2022	—	`conf`	Info-HGCN: Hyperbolic Graph Convolution Networks for Information Diffusion Prediction. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Xiang Zeng, Xin Song, Yingdan Shang, Feng Xie, Bin Zhou
2022	C	`conf`	Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting. SEKE Feng Xie, Zhong Zhang, Xuechen Zhao, Bin Zhou, Yusong Tan
2022	J	`jnl`	Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting. CoRR Feng Xie, Zhong Zhang, Xuechen Zhao, Bin Zhou, Yusong Tan
2022	J	`jnl`	Multi-Level Consistency Learning for Source-Free Model Adaptation. IEEE Robotics Autom. Lett. Xin Luo, Wei Chen, Chen Li, Bin Zhou, Yusong Tan
2022	—	`conf`	Multiple Sequential Network Attacks Detection Based on DTW-HMM. DSC Haitian Liu, Rong Jiang, Bin Zhou, Xing Rong, Juan Li, Aiping Li
2022	B	`conf`	Multitask Learning Neural Networks for Pandemic Prediction with Public Stance Enhancement. ICTAI Zhong Zhang, Feng Xie, Xuechen Zhao, Bin Zhou, Jian Chen, Lei Tian
2022	—	`conf`	Prediction of Real Popularity based on Sample Debias. DSC Liang Li, Liqun Gao, Feng Xie, Bin Zhou
2022	B	`conf`	TiSA: a Time Interval Aware Self-Attention model for Popularity Prediction on Social Networks. DSAA Xiang Zeng, Yujia Liu, Xin Song, Yingdan Shang, Bin Zhou
2022	B	`conf`	Zero-Shot Stance Detection via Sentiment-Stance Contrastive Learning. ICTAI Jiaying Zou, Xuechen Zhao, Feng Xie, Bin Zhou, Zhong Zhang, Lei Tian
2022	J	`jnl`	Zero-shot stance detection based on cross-domain feature enhancement by contrastive learning. CoRR Xuechen Zhao, Jiaying Zou, Zhong Zhang, Feng Xie, Bin Zhou, Lei Tian
2021	—	`conf`	A Manifold Learning Method to Passage Retrieval for Open-Domain Question Answering. DSC Ruidong Ding, Bin Zhou, Hongkui Tu
2021	—	`conf`	A Meta-path Based Graph Convolutional Network with Multi-scale Semantic Extractions for Heterogeneous Event Classification. PAKDD (1) Haiyang Wang, Xin Song, Yujia Liu, Chenguang Chen, Bin Zhou
2021	—	`conf`	A Survey of Cyber Security Approaches for Prediction. DSC Haitian Liu, Rong Jiang, Bin Zhou, Xing Rong, Juan Li, Aiping Li
2021	C	`conf`	BEHIND: a 4W-oriented Method for Event Detection from Twitter. SEKE Kang Zeng, Yujia Liu, Xin Song, Bin Zhou
2021	—	`conf`	Content Matters: A GNN-Based Model Combined with Text Semantics for Social Network Cascade Prediction. PAKDD (1) Yujia Liu, Kang Zeng, Haiyang Wang, Xin Song, Bin Zhou
2021	—	`conf`	DGCN-rs: A Dilated Graph Convolutional Networks Jointly Modelling Relation and Semantic for Multi-event Forecasting. ICONIP (3) Xin Song, Haiyang Wang, Bin Zhou
2021	—	`ch.`	Information Cascading in Social Networks. MDATA: A New Knowledge Representation Model Liqun Gao, Bin Zhou, Yan Jia, Hongkui Tu, Ye Wang
2021	C	`conf`	KatGCN: Knowledge-Aware Attention based Temporal Graph Convolutional Network for Multi-Event Prediction. SEKE Xin Song, Haiyang Wang, Kang Zeng, Yujia Liu, Bin Zhou
2021	—	`conf`	MSSF-GCN: Multi-scale Structural and Semantic Information Fusion Graph Convolutional Network for Controversy Detection. WISE (1) Haiyang Wang, Xin Song, Bin Zhou, Ye Wang, Liqun Gao, Yan Jia
2021	—	`conf`	Modeling Connection Strength in Graph Neural Networks for Social Influence Prediction. DSC Hongwu Zhuang, Bin Zhou, Wen Xi, Liqun Gao, Haiyang Wang
2021	—	`conf`	PTMT: Multi-Target Stance Detection with PTM-enhanced Multi-Task Learning. DSC Wen Xi, Chenguang Chen, Hongwu Zhuang, Haiyang Wang, Liqun Gao, Bin Zhou
2021	—	`conf`	Performance Evaluation of Pre-trained Models in Sarcasm Detection Task. WISE (2) Haiyang Wang, Xin Song, Bin Zhou, Ye Wang, Liqun Gao, Yan Jia
2021	J	`jnl`	Popularity Prediction of Online Contents via Cascade Graph and Temporal Information. Axioms Yingdan Shang, Bin Zhou, Ye Wang, Aiping Li, Kai Chen, Yichen Song, Changjian Lin
2021	J	`jnl`	Public Opinion Early Warning Agent Model: A Deep Learning Cascade Virality Prediction Model Based on Multi-Feature Fusion. Frontiers Neurorobotics Liqun Gao, Yujia Liu, Hongwu Zhuang, Haiyang Wang, Bin Zhou, Aiping Li
2021	J	`jnl`	Rumor Detection Based on SAGNN: Simplified Aggregation Graph Neural Networks. Mach. Learn. Knowl. Extr. Liang Zhang, Jingqun Li, Bin Zhou, Yan Jia
2021	—	`conf`	Rumor Detection on Social Media Using Temporal Dynamic Structure and Emotional Information. DSC Chenming Wang, Bin Zhou, Hongkui Tu, Yujia Liu
2021	—	`ch.`	Social Unrest Events Prediction by Contextual Gated Graph Convolutional Networks. MDATA: A New Knowledge Representation Model Haiyang Wang, Bin Zhou, Zhipin Gu, Yan Jia
2021	—	`ch.`	The Framework of the MDATA Computing Model. MDATA: A New Knowledge Representation Model Yan Jia, Aiping Li, Zhaoquan Gu, Bin Zhou, Ye Wang, Xiang Wang, Hongkui Tu
2020	—	`conf`	A Cooperative Tracker by Fusing Correlation Filter and Siamese Network. PRCV (2) Bin Zhou, Xin Liu, Bineng Zhong
2020	—	`conf`	A Graph Data Privacy-Preserving Method Based on Generative Adversarial Networks. WISE (2) Aiping Li, Junbin Fang, Qianye Jiang, Bin Zhou, Yan Jia
2020	—	`conf`	A Low-Dimensional Representation Learning Method for Text Classification and Clustering. DSC Xiang Wang, Yunfan Liao, Junxing Zhu, Bin Zhou, Yan Jia
2020	J	`jnl`	A Measurement Model of Mutual Influence for Information Dissemination. Entropy Liang Zhang, Yong Quan, Bin Zhou, Yan Jia, Liqun Gao
2020	J	`jnl`	A Multi-View Approach Based on Naming Behavioral Modeling for Aligning Chinese User Accounts across Multiple Networks. CoRR Junxing Zhu, Xiang Wang, Qiang Liu, Xiaoyong Li, Chengcheng Shao, Bin Zhou
2020	J	`jnl`	A multiview approach based on naming behavioral modeling for aligning chinese user accounts across multiple networks. Concurr. Comput. Pract. Exp. Junxing Zhu, Xiang Wang, Qiang Liu, Xiaoyong Li, Chengcheng Shao, Bin Zhou
2020	—	`conf`	Contextual Gated Graph Convolutional Networks for Social Unrest Events Prediction. DSC Haiyang Wang, Bin Zhou, Zhipin Gu, Yan Jia
2020	—	`conf`	Deep Learning for Social Network Information Cascade Analysis: a survey. DSC Liqun Gao, Bin Zhou, Yan Jia, Hongkui Tu, Ye Wang, Chenguang Chen, Haiyang Wang, Hongwu Zhuang
2020	J	`jnl`	Guest editorial: special issue on data science in cyberspace 2019. World Wide Web Bin Zhou, Feifei Li, Jinjun Chen, Ye Wang
2020	—	`conf`	Knowledge-Infused Pre-trained Models for KG Completion. WISE (1) Han Yu, Rong Jiang, Bin Zhou, Aiping Li
2020	—	`conf`	Multi-Target Stance Detection with Multi-Task Learning. ICCPR Chenguang Chen, Wen Xi, Bin Zhou
2019	—	`conf`	BICON: Connecting the Same Users of Different Social Networks using BiLSTM. DSC Hao Wang, Bin Zhou, Jiuming Huang, Yunxuan Liu, Xinping Zheng, Weihong Han
2019	J	`jnl`	Deep Entity Linking via Eliminating Semantic Ambiguity With BERT. IEEE Access Xiaoyao Yin, Yangchen Huang, Bin Zhou, Aiping Li, Long Lan, Yan Jia
2019	—	`conf`	Identify Influentials Based on User Behavior Across Different Topics. ICAIS (4) Yong Quan, Yichen Song, Lu Deng, Yan Jia, Bin Zhou, Weihong Han
2019	J	`jnl`	Person Entity Attribute Extraction Based on Siamese Network. IEEE Access Yangchen Huang, Aiping Li, Bin Zhou, Jiuming Huang, Long Lan, Xiaoyao Yin, Yan Jia
2018	J	`jnl`	Influence efficiency maximization: How can we spread information efficiently? J. Comput. Sci. Xiang Zhu, Zhefeng Wang, Yu Yang, Bin Zhou, Yan Jia
2018	J	`jnl`	Repost prediction incorporating time-sensitive mutual influence in social networks. J. Comput. Sci. Yong Quan, Yan Jia, Bin Zhou, Weihong Han, Shudong Li
2018	—	`conf`	Sentiment Analysis Based on Deep Learning and Its Application in Screening for Perinatal Depression. DSC Yong Chen, Bin Zhou, Weina Zhang, Wenjie Gong, Guangfu Sun
2018	—	`conf`	Structural Vulnerability of Complex Networks Under Multiple Edge-Based Attacks. DSC Shudong Li, Xiaobo Wu, Aiping Li, Bin Zhou, Zhihong Tian, Dawei Zhao
2018	—	`conf`	Topic Analysis Model for Online Social Network. DSC Yan Jia, Lu Deng, Bin Zhou, Binxing Fang, Weihong Han, Aiping Li, Qiang Liu, Yong Quan
2018	J	`jnl`	User interest mining via tags and bidirectional interactions on Sina Weibo. World Wide Web Lu Deng, Yan Jia, Bin Zhou, Jiuming Huang, Yi Han
2018	—	`conf`	Virtual Community Detection Model and Related Research in Online Social Networks. DSC Yan Jia, Qiang Liu, Binxing Fang, Bin Zhou, Lu Deng, Yong Quan
2017	—	`conf`	A Method of Emotional Analysis of Movie Based on Convolution Neural Network and Bi-directional LSTM RNN. DSC Shudong Li, Zhou Yan, Xiaobo Wu, Aiping Li, Bin Zhou
2017	—	`conf`	A Refined Method for Detecting Interpretable and Real-Time Bursty Topic in Microblog Stream. WISE (1) Tao Zhang, Bin Zhou, Jiuming Huang, Yan Jia, Bing Zhang, Zhi Li
2017	A	`conf`	Broad Learning based Multi-Source Collaborative Recommendation. CIKM Junxing Zhu, Jiawei Zhang, Lifang He, Quanyuan Wu, Bin Zhou, Chenwei Zhang, Philip S. Yu
2017	—	`conf`	CFXGBoost: Topic phrase extraction based on context features and XGBoost for knowledge base question answering. ICNC-FSKD Han Han, Fengyu Yang, Jiuming Huang, Bin Zhou
2017	J	`jnl`	CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks. IEEE Access Junxing Zhu, Jiawei Zhang, Chenwei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Philip S. Yu
2017	J	`jnl`	Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks. Sensors Junxing Zhu, Jiawei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Xiaokai Wei, Philip S. Yu
2017	J	`jnl`	Leveraging local h-index to identify and rank influential spreaders in networks. CoRR Qiang Liu, Yuxiao Zhu, Yan Jia, Lu Deng, Bin Zhou, Junxing Zhu, Peng Zou
2017	J	`jnl`	Multi-window based ensemble learning for classification of imbalanced streaming data. World Wide Web Hu Li, Ye Wang, Hua Wang, Bin Zhou
2017	J	`jnl`	Real-time personalized twitter search based on semantic expansion and quality model. Neurocomputing Xiang Zhu, Jiuming Huang, Bin Zhou, Aiping Li, Yan Jia
2017	—	`conf`	Semi-Supervised Collective Matrix Factorization for Topic Detection and Document Clustering. DSC Ye Wang, Yanchun Zhang, Bin Zhou, Yan Jia
2017	—	`conf`	The Fine-Grained Topic Evolution Based on the Probability Model. ISCID (2) Xin Liu, Yan Jia, Bin Zhou, Liqun Gao
2017	—	`conf`	Topic Detection with Locally Weighted Semi-supervised Collective Learning. WISE (2) Ye Wang, Yong Quan, Bin Zhou, Yanchun Zhang, Min Peng
2016	—	`conf`	A Novel Method of Influence Ranking via Node Degree and H-index for Community Detection. WAIM Workshops Qiang Liu, Lu Deng, Junxing Zhu, Fenglan Li, Bin Zhou, Peng Zou
2016	C	`conf`	An Unsupervised Method for Entity Mentions Extraction in Chinese Text. APSCC Jing Xu, Liang Gan, Bin Zhou, Quanyuan Wu
2016	C	`conf`	An Unsupervised Method for Linking Entity Mentions in Chinese Text. APSCC Jing Xu, Liang Gan, Bin Zhou, Quanyuan Wu
2016	J	`jnl`	Identifying users across social networks based on dynamic core interests. Neurocomputing Yuanping Nie, Yan Jia, Shudong Li, Xiang Zhu, Aiping Li, Bin Zhou
2016	J	`jnl`	Sockpuppet gang detection on social media sites. Frontiers Comput. Sci. Dong Liu, Quanyuan Wu, Weihong Han, Bin Zhou
2016	—	`conf`	The Prediction of User Topic Interest Based on Tags and Interaction of Users. DSC Lu Deng, Jiuming Huang, Yi Han, Bin Zhou, Qiang Liu
2015	—	`conf`	Detecting Internet Hidden Paid Posters Based on Group and Individual Characteristics. WISE (2) Xiang Wang, Bin Zhou, Yan Jia, Shasha Li
2015	—	`conf`	Mining Personal Interests of Microbloggers Based on Free Tags in SINA Weibo. WAIM Workshops Xiang Wang, Xiang Yu, Bin Zhou, Yan Jia
2015	—	`conf`	Multi-Window Based Ensemble Learning for Classification of Imbalanced Streaming Data. WISE (2) Ye Wang, Hu Li, Hua Wang, Bin Zhou, Yanchun Zhang
2015	—	`conf`	Topic Detection Based on User Intention. ICDM Workshops Lu Deng, Yong Quan, Jing Xu, Jiuming Huang, Bin Zhou
2015	—	`conf`	Tracking Public Concerns: How Mobile Service Providers Understand Their Users? IEEE MS Bin Zhou, Lei Deng, Jingze Li
2014	—	`conf`	Analysis on Chinese Microblog Sentiment Based on Syntax Parsing and Support Vector Machine. APWeb Workshophs Ziyan Su, Bin Zhou, Aiping Li, Yi Han
2014	B	`conf`	Do neighbor buddies make a difference in reblog likelihood? An analysis on SINA Weibo data. ASONAM Lumin Zhang, Jian Pei, Yan Jia, Bin Zhou, Xiang Wang
2014	C	`conf`	Identifying Users Based on Behavioral-Modeling across Social Media Sites. APWeb Yuanping Nie, Jiuming Huang, Aiping Li, Bin Zhou
2013	C	`conf`	An Efficient Approach on Answering Top-k Queries with Grid Dominant Graph Index. APWeb Aiping Li, Jinghu Xu, Liang Gan, Bin Zhou, Yan Jia
2013	C	`conf`	An Influence Strength Measurement via Time-Aware Probabilistic Generative Model for Microblogs. APWeb Zhaoyun Ding, Yan Jia, Bin Zhou, Jianfeng Zhang, Yi Han, Chunfeng Yu
2013	—	`conf`	Detecting real-time burst topics in microblog streams: how sentiment can help. WWW (Companion Volume) Lumin Zhang, Yan Jia, Bin Zhou, Yi Han
2013	J	`jnl`	Improving Text Categorization with Semantic Knowledge in Wikipedia. IEICE Trans. Inf. Syst. Xiang Wang, Yan Jia, Ruhua Chen, Hua Fan, Bin Zhou
2013	J	`jnl`	Measuring the spreadability of users in microblogs. J. Zhejiang Univ. Sci. C Zhaoyun Ding, Yan Jia, Bin Zhou, Yi Han, Li He, Jianfeng Zhang
2013	—	`conf`	Predicting the social influence of upcoming contents in large social networks. ICIMCS Yi Han, Lei Deng, Bingying Xu, Lumin Zhang, Bin Zhou, Yan Jia
2013	—	`conf`	Social circle analysis on ego-network based on context frequent pattern mining. ICIMCS Bingying Xu, Lei Deng, Yan Jia, Bin Zhou, Yi Han
2013	—	`conf`	Tracking the evolution of public concerns in social media. ICIMCS Lei Deng, Bingying Xu, Lumin Zhang, Yi Han, Bin Zhou, Peng Zou
2012	C	`conf`	Adaptive Topic Community Tracking in Social Network. APWeb Zheng Liang, Yan Jia, Bin Zhou
2012	—	`conf`	Chinese New Words Detection Using Mutual Information. ISCTCS Zheng Liang, Bingying Xu, Jie Zhao, Yan Jia, Bin Zhou
2012	—	`conf`	Community Detection Based on Robust Label Propagation Algorithm. ISCTCS Bingying Xu, Zheng Liang, Yan Jia, Bin Zhou
2012	J	`jnl`	Contextual correlation based thread detection in short text message streams. J. Intell. Inf. Syst. Jiuming Huang, Bin Zhou, Quanyuan Wu, Xiaowei Wang, Yan Jia
2012	—	`conf`	Local Community Detection Using Seeds Expansion. CGC Bingying Xu, Zheng Liang, Yan Jia, Bin Zhou, Yi Han
2012	—	`conf`	Microblogging Sentiment Analysis Using Emotional Vector. CGC Lumin Zhang, Yan Jia, Bin Zhou, Yi Han
2012	—	`conf`	Mining Tribe-Leaders Based on the Frequent Pattern of Propagation. APWeb Workshops Zhaoyun Ding, Yan Jia, Bin Zhou, Yi Han
2012	—	`conf`	Using Social Intelligence for New Event Detection in Microblog Stream. CGC Lei Deng, Zhaoyun Ding, Bingying Xu, Bin Zhou, Peng Zou
2011	J	`jnl`	A Word Position-Related LDA Model. Int. J. Pattern Recognit. Artif. Intell. Lidong Zhai, Zhaoyun Ding, Yan Jia, Bin Zhou
2011	—	`conf`	Exploring Event Evolution Patterns at the Atomic Level. CyberC Lei Deng, Zhaoyun Ding, Bingying Xu, Bin Zhou, Yan Jia, Peng Zou
2008	C	`conf`	A Virtual Machine for Distributed Agent-oriented Programming. SEKE Bin Zhou, Hong Zhu
2008	—	`conf`	Distributed and Effective Reputation Mechanism in P2P Systems. CSSE (3) Jianli Hu, Quanyuan Wu, Bin Zhou
2008	—	`conf`	FCTrust: A Robust and Efficient Feedback Credibility-Based Distributed P2P Trust Model. ICYCS Jianli Hu, Quanyuan Wu, Bin Zhou
2008	—	`conf`	HOM: An Approach to Calculating Semantic Similarity Utilizing Relations between Ontologies. AIRS Zhizhong Liu, Huaimin Wang, Bin Zhou
2008	C	`conf`	RBTrust: A Recommendation Belief Based Distributed Trust Management Model for P2P Networks. HPCC Jianli Hu, Quanyuan Wu, Bin Zhou
2008	J	`jnl`	Secure and Distributed P2P Reputation Management. J. Commun. Jianli Hu, Quanyuan Wu, Bin Zhou
2008	J	`jnl`	TTEM: An Effective Trust-Based Topology Evolution Mechanism for P2P Networks. J. Commun. Jianli Hu, Quanyuan Wu, Bin Zhou
2007	C	`conf`	A Grid Resource Discovery Method Based on Adaptive COCOA Yan Zhang, Yan Jia, Xiaobin Huang, Bin Zhou, Jian Gu
2007	C	`conf`	A Scalable Mechanism for Semantic Service Discovery in Multi-ontology Environment. GPC Zhizhong Liu, Huaimin Wang, Bin Zhou
2007	C	`conf`	A Scalable Method for Efficient Grid Resource Discovery. CDVE Yan Zhang, Yan Jia, Xiaobin Huang, Bin Zhou, Jian Gu
2007	—	`conf`	An Adaptive ICIC (2) Yan Zhang, Yan Jia, Xiaobin Huang, Bin Zhou, Jian Gu
2007	—	`conf`	An Adaptive Algorithm for Failure Recovery During Dynamic Service Composition. PReMI Xingzhi Feng, Huaimin Wang, Quanyuan Wu, Bin Zhou
2007	—	`conf`	Automated Testing EJB Components Based on Algebraic Specifications. COMPSAC (2) Liang Kong, Hong Zhu, Bin Zhou
2006	—	`conf`	A Fault-Tolerant Web Services Architecture. APWeb Workshops Lingxia Liu, Yuming Meng, Bin Zhou, Quanyuan Wu
2005	C	`conf`	QoS Aware Service Composition with Multiple Quality Constraints. NPC Bixin Liu, Quanyuan Wu, Yan Jia, Bin Zhou
2004	—	`conf`	A Fault-Tolerant Architecture for Grid System. GCC Lingxia Liu, Quanyuan Wu, Bin Zhou
2004	—	`conf`	A Practice in Facilitating Service-Oriented Inter-Enterprise Application Integration. TES Bixin Liu, Yan Jia, Bin Zhou, Yufeng Wang
2004	—	`conf`	Agent-Oriented Formal Specification of Web Services. GCC Workshops Hong Zhu, Bin Zhou, Xinjun Mao, Lijun Shan, David A. Duce
2004	C	`conf`	Collaborative Process Execution for Service Composition with StarWebService. NPC Bixin Liu, Yufeng Wang, Bin Zhou, Yan Jia
2004	—	`conf`	Research and Implementation of CORBA Web Services. ER (Workshops) Jianqiang Hu, Bin Zhou, Yan Jia, Peng Zou
2003	—	`conf`	Research and Implementation of Dynamic Web Services Composition. APPT Haiyan Sun, Xiaodong Wang, Bin Zhou, Peng Zou