Bin Zhou

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 76

Top Venues

Publications

Haiyang Wang, Zhiliang Tian, Xin Song, Yue Zhang, Yuchen Pan, Hongkui Tu, Minlie Huang, Bin Zhou
Intent-Aware and Hate-Mitigating Counterspeech Generation via Dual-Discriminator Guided LLMs. LREC/COLING (2024)
Xuechen Zhao, Lei Tian, Feng Xie, Bin Zhou, Haiyang Wang, Hongzhou Wu, Liqun Gao
MSFR: Stance Detection Based on Multi-Aspect Semantic Feature Representation via Hierarchical Contrastive Learning. ICASSP (2024)
Yinxuan Huang, Chenxi Zhu, Kai Chen, Xuechen Zhao, Liqun Gao, Kai Xiao, Yanyi Huang, Bin Zhou
Feature Interaction for Temporal Knowledge Graph Extrapolation. ICIC (13) (2024)
Weiqi Hu, Ye Wang, Yan Jia, Qing Liao, Bin Zhou
A Multi-modal Prompt Learning Framework for Early Detection of Fake News. ICWSM (2024)
Xuechen Zhao, Jiaying Zou, Jinfeng Miao, Lei Tian, Liqun Gao, Bin Zhou, Shengnan Pang
Zero-shot stance detection based on multi-perspective transferable feature fusion. Inf. Fusion 108 (2024)
Yuying Liao, Le Ma, Bin Zhou, Xuechen Zhao, Feng Xie
DraftFed: A Draft-Based Personalized Federated Learning Approach for Heterogeneous Convolutional Neural Networks. IEEE Trans. Mob. Comput. 23 (5) (2024)
Feng Xie, Xiang Zeng, Bin Zhou, Yusong Tan
Improving Knowledge Graph Entity Alignment with Graph Augmentation. CoRR (2023)
Haiyang Wang, Ye Wang, Xin Song, Bin Zhou, Xuechen Zhao, Feng Xie
Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset. World Wide Web (WWW) 26 (5) (2023)
Feng Xie, Zhong Zhang, Xuechen Zhao, Haiyang Wang, Jiaying Zou, Lei Tian, Bin Zhou, Yusong Tan
Adversarial Learning-Based Stance Classifier for COVID-19-Related Health Policies. DASFAA (4) (2023)
Xuechen Zhao, Jiaying Zou, Zhong Zhang, Feng Xie, Bin Zhou, Lei Tian
Feature Enhanced Zero-Shot Stance Detection via Contrastive Learning. SDM (2023)
Feng Xie, Xiang Zeng, Bin Zhou, Yusong Tan
Improving Knowledge Graph Entity Alignment with Graph Augmentation. PAKDD (2) (2023)
Yingdan Shang, Bin Zhou, Xiang Zeng, Kai Chen
A Unified Information Diffusion Prediction Model Based on Multi-task Learning. ADMA (4) (2023)
Haiyang Wang, Xin Song, Bin Zhou, Xuechen Zhao
Incorporating Mental State into Contrastive Learning for Fine-grained Implicit Hate Speech Classification. CogSci (2023)
Xuechen Zhao, Jiaying Zou, Lei Tian, Feng Xie, Haiyang Wang, Hongzhou Wu, Bin Zhou, Jie Tian
A Unified Framework for Unseen Target Stance Detection based on Feature Enhancement via Graph Contrastive Learning. CogSci (2023)
Haitian Liu, Rong Jiang, Bin Zhou, Xing Rong, Juan Li, Aiping Li
Multiple Sequential Network Attacks Detection Based on DTW-HMM. DSC (2022)
Yushan Jiang, Bin Zhou, Xuechen Zhao, Jiaying Zou, Feng Xie, Liang Li
Domain-adaptive Graph based on Post-hoc Explanation for Cross-domain Hate Speech Detection. ICTAI (2022)
Zhong Zhang, Feng Xie, Xuechen Zhao, Bin Zhou, Jian Chen, Lei Tian
Multitask Learning Neural Networks for Pandemic Prediction with Public Stance Enhancement. ICTAI (2022)
Xin Luo, Wei Chen, Chen Li, Bin Zhou, Yusong Tan
Multi-Level Consistency Learning for Source-Free Model Adaptation. IEEE Robotics Autom. Lett. 7 (4) (2022)
Xiang Zeng, Xin Song, Yingdan Shang, Feng Xie, Bin Zhou
Info-HGCN: Hyperbolic Graph Convolution Networks for Information Diffusion Prediction. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Xiang Zeng, Yujia Liu, Xin Song, Yingdan Shang, Bin Zhou
TiSA: a Time Interval Aware Self-Attention model for Popularity Prediction on Social Networks. DSAA (2022)
Feng Xie, Zhong Zhang, Liang Li, Bin Zhou, Yusong Tan
EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting. ECML/PKDD (6) (2022)
Jiaying Zou, Xuechen Zhao, Feng Xie, Bin Zhou, Zhong Zhang, Lei Tian
Zero-Shot Stance Detection via Sentiment-Stance Contrastive Learning. ICTAI (2022)
Yujia Liu, Kang Zeng, Haiyang Wang, Xin Song, Bin Zhou
Content Matters: A GNN-Based Model Combined with Text Semantics for Social Network Cascade Prediction. PAKDD (1) (2021)
Liqun Gao, Yujia Liu, Hongwu Zhuang, Haiyang Wang, Bin Zhou, Aiping Li
Public Opinion Early Warning Agent Model: A Deep Learning Cascade Virality Prediction Model Based on Multi-Feature Fusion. Frontiers Neurorobotics 15 (2021)
Haiyang Wang, Xin Song, Bin Zhou, Ye Wang, Liqun Gao, Yan Jia
Performance Evaluation of Pre-trained Models in Sarcasm Detection Task. WISE (2) (2021)
Haiyang Wang, Xin Song, Yujia Liu, Chenguang Chen, Bin Zhou
A Meta-path Based Graph Convolutional Network with Multi-scale Semantic Extractions for Heterogeneous Event Classification. PAKDD (1) (2021)
Hongwu Zhuang, Bin Zhou, Wen Xi, Liqun Gao, Haiyang Wang
Modeling Connection Strength in Graph Neural Networks for Social Influence Prediction. DSC (2021)
Haitian Liu, Rong Jiang, Bin Zhou, Xing Rong, Juan Li, Aiping Li
A Survey of Cyber Security Approaches for Prediction. DSC (2021)
Yingdan Shang, Bin Zhou, Ye Wang, Aiping Li, Kai Chen, Yichen Song, Changjian Lin
Popularity Prediction of Online Contents via Cascade Graph and Temporal Information. Axioms 10 (3) (2021)
Ruidong Ding, Bin Zhou, Hongkui Tu
A Manifold Learning Method to Passage Retrieval for Open-Domain Question Answering. DSC (2021)
Liang Zhang, Jingqun Li, Bin Zhou, Yan Jia
Rumor Detection Based on SAGNN: Simplified Aggregation Graph Neural Networks. Mach. Learn. Knowl. Extr. 3 (1) (2021)
Kang Zeng, Yujia Liu, Xin Song, Bin Zhou
BEHIND: a 4W-oriented Method for Event Detection from Twitter. SEKE (2021)
Xin Song, Haiyang Wang, Bin Zhou
DGCN-rs: A Dilated Graph Convolutional Networks Jointly Modelling Relation and Semantic for Multi-event Forecasting. ICONIP (3) (2021)
Chenming Wang, Bin Zhou, Hongkui Tu, Yujia Liu
Rumor Detection on Social Media Using Temporal Dynamic Structure and Emotional Information. DSC (2021)
Wen Xi, Chenguang Chen, Hongwu Zhuang, Haiyang Wang, Liqun Gao, Bin Zhou
PTMT: Multi-Target Stance Detection with PTM-enhanced Multi-Task Learning. DSC (2021)
Haiyang Wang, Xin Song, Bin Zhou, Ye Wang, Liqun Gao, Yan Jia
MSSF-GCN: Multi-scale Structural and Semantic Information Fusion Graph Convolutional Network for Controversy Detection. WISE (1) (2021)
Xin Song, Haiyang Wang, Kang Zeng, Yujia Liu, Bin Zhou
KatGCN: Knowledge-Aware Attention based Temporal Graph Convolutional Network for Multi-Event Prediction. SEKE (2021)
Bin Zhou, Xin Liu, Bineng Zhong
A Cooperative Tracker by Fusing Correlation Filter and Siamese Network. PRCV (2) (2020)
Aiping Li, Junbin Fang, Qianye Jiang, Bin Zhou, Yan Jia
A Graph Data Privacy-Preserving Method Based on Generative Adversarial Networks. WISE (2) (2020)
Han Yu, Rong Jiang, Bin Zhou, Aiping Li
Knowledge-Infused Pre-trained Models for KG Completion. WISE (1) (2020)
Chenguang Chen, Wen Xi, Bin Zhou
Multi-Target Stance Detection with Multi-Task Learning. ICCPR (2020)
Haiyang Wang, Bin Zhou, Zhipin Gu, Yan Jia
Contextual Gated Graph Convolutional Networks for Social Unrest Events Prediction. DSC (2020)
Junxing Zhu, Xiang Wang, Qiang Liu, Xiaoyong Li, Chengcheng Shao, Bin Zhou
A multiview approach based on naming behavioral modeling for aligning chinese user accounts across multiple networks. Concurr. Comput. Pract. Exp. 32 (22) (2020)
Liqun Gao, Bin Zhou, Yan Jia, Hongkui Tu, Ye Wang, Chenguang Chen, Haiyang Wang, Hongwu Zhuang
Deep Learning for Social Network Information Cascade Analysis: a survey. DSC (2020)
Bin Zhou, Feifei Li, Jinjun Chen, Ye Wang
Guest editorial: special issue on data science in cyberspace 2019. World Wide Web 23 (4) (2020)
Liang Zhang, Yong Quan, Bin Zhou, Yan Jia, Liqun Gao
A Measurement Model of Mutual Influence for Information Dissemination. Entropy 22 (7) (2020)
Xiang Wang, Yunfan Liao, Junxing Zhu, Bin Zhou, Yan Jia
A Low-Dimensional Representation Learning Method for Text Classification and Clustering. DSC (2020)
Xiaoyao Yin, Yangchen Huang, Bin Zhou, Aiping Li, Long Lan, Yan Jia
Deep Entity Linking via Eliminating Semantic Ambiguity With BERT. IEEE Access 7 (2019)
Yangchen Huang, Aiping Li, Bin Zhou, Jiuming Huang, Long Lan, Xiaoyao Yin, Yan Jia
Person Entity Attribute Extraction Based on Siamese Network. IEEE Access 7 (2019)
Yong Quan, Yichen Song, Lu Deng, Yan Jia, Bin Zhou, Weihong Han
Identify Influentials Based on User Behavior Across Different Topics. ICAIS (4) (2019)
Hao Wang, Bin Zhou, Jiuming Huang, Yunxuan Liu, Xinping Zheng, Weihong Han
BICON: Connecting the Same Users of Different Social Networks using BiLSTM. DSC (2019)
Xiang Zhu, Zhefeng Wang, Yu Yang, Bin Zhou, Yan Jia
Influence efficiency maximization: How can we spread information efficiently? J. Comput. Sci. 28 (2018)
Yong Quan, Yan Jia, Bin Zhou, Weihong Han, Shudong Li
Repost prediction incorporating time-sensitive mutual influence in social networks. J. Comput. Sci. 28 (2018)
Yan Jia, Qiang Liu, Binxing Fang, Bin Zhou, Lu Deng, Yong Quan
Virtual Community Detection Model and Related Research in Online Social Networks. DSC (2018)
Yan Jia, Lu Deng, Bin Zhou, Binxing Fang, Weihong Han, Aiping Li, Qiang Liu, Yong Quan
Topic Analysis Model for Online Social Network. DSC (2018)
Shudong Li, Xiaobo Wu, Aiping Li, Bin Zhou, Zhihong Tian, Dawei Zhao
Structural Vulnerability of Complex Networks Under Multiple Edge-Based Attacks. DSC (2018)
Yong Chen, Bin Zhou, Weina Zhang, Wenjie Gong, Guangfu Sun
Sentiment Analysis Based on Deep Learning and Its Application in Screening for Perinatal Depression. DSC (2018)
Lu Deng, Yan Jia, Bin Zhou, Jiuming Huang, Yi Han
User interest mining via tags and bidirectional interactions on Sina Weibo. World Wide Web 21 (2) (2018)
Junxing Zhu, Jiawei Zhang, Lifang He, Quanyuan Wu, Bin Zhou, Chenwei Zhang, Philip S. Yu
Broad Learning based Multi-Source Collaborative Recommendation. CIKM (2017)
Xin Liu, Yan Jia, Bin Zhou, Liqun Gao
The Fine-Grained Topic Evolution Based on the Probability Model. ISCID (2) (2017)
Han Han, Fengyu Yang, Jiuming Huang, Bin Zhou
CFXGBoost: Topic phrase extraction based on context features and XGBoost for knowledge base question answering. ICNC-FSKD (2017)
Junxing Zhu, Jiawei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Xiaokai Wei, Philip S. Yu
Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks. Sensors 17 (8) (2017)
Xiang Zhu, Jiuming Huang, Bin Zhou, Aiping Li, Yan Jia
Real-time personalized twitter search based on semantic expansion and quality model. Neurocomputing 254 (2017)
Tao Zhang, Bin Zhou, Jiuming Huang, Yan Jia, Bing Zhang, Zhi Li
A Refined Method for Detecting Interpretable and Real-Time Bursty Topic in Microblog Stream. WISE (1) (2017)
Ye Wang, Yanchun Zhang, Bin Zhou, Yan Jia
Semi-Supervised Collective Matrix Factorization for Topic Detection and Document Clustering. DSC (2017)
Shudong Li, Zhou Yan, Xiaobo Wu, Aiping Li, Bin Zhou
A Method of Emotional Analysis of Movie Based on Convolution Neural Network and Bi-directional LSTM RNN. DSC (2017)
Hu Li, Ye Wang, Hua Wang, Bin Zhou
Multi-window based ensemble learning for classification of imbalanced streaming data. World Wide Web 20 (6) (2017)
Qiang Liu, Yuxiao Zhu, Yan Jia, Lu Deng, Bin Zhou, Junxing Zhu, Peng Zou
Leveraging local h-index to identify and rank influential spreaders in networks. CoRR (2017)
Ye Wang, Yong Quan, Bin Zhou, Yanchun Zhang, Min Peng
Topic Detection with Locally Weighted Semi-supervised Collective Learning. WISE (2) (2017)
Junxing Zhu, Jiawei Zhang, Chenwei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Philip S. Yu
CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks. IEEE Access 5 (2017)
Jing Xu, Liang Gan, Bin Zhou, Quanyuan Wu
An Unsupervised Method for Entity Mentions Extraction in Chinese Text. APSCC (2016)
Qiang Liu, Lu Deng, Junxing Zhu, Fenglan Li, Bin Zhou, Peng Zou
A Novel Method of Influence Ranking via Node Degree and H-index for Community Detection. WAIM Workshops (2016)
Yuanping Nie, Yan Jia, Shudong Li, Xiang Zhu, Aiping Li, Bin Zhou
Identifying users across social networks based on dynamic core interests. Neurocomputing 210 (2016)
Dong Liu, Quanyuan Wu, Weihong Han, Bin Zhou
Sockpuppet gang detection on social media sites. Frontiers Comput. Sci. 10 (1) (2016)
Lu Deng, Jiuming Huang, Yi Han, Bin Zhou, Qiang Liu
The Prediction of User Topic Interest Based on Tags and Interaction of Users. DSC (2016)
Jing Xu, Liang Gan, Bin Zhou, Quanyuan Wu
An Unsupervised Method for Linking Entity Mentions in Chinese Text. APSCC (2016)
Xiang Wang, Bin Zhou, Yan Jia, Shasha Li
Detecting Internet Hidden Paid Posters Based on Group and Individual Characteristics. WISE (2) (2015)
Xiang Wang, Xiang Yu, Bin Zhou, Yan Jia
Mining Personal Interests of Microbloggers Based on Free Tags in SINA Weibo. WAIM Workshops (2015)
Bin Zhou, Lei Deng, Jingze Li
Tracking Public Concerns: How Mobile Service Providers Understand Their Users? IEEE MS (2015)
Lu Deng, Yong Quan, Jing Xu, Jiuming Huang, Bin Zhou
Topic Detection Based on User Intention. ICDM Workshops (2015)
Ye Wang, Hu Li, Hua Wang, Bin Zhou, Yanchun Zhang
Multi-Window Based Ensemble Learning for Classification of Imbalanced Streaming Data. WISE (2) (2015)
Ziyan Su, Bin Zhou, Aiping Li, Yi Han
Analysis on Chinese Microblog Sentiment Based on Syntax Parsing and Support Vector Machine. APWeb Workshophs (2014)
Yuanping Nie, Jiuming Huang, Aiping Li, Bin Zhou
Identifying Users Based on Behavioral-Modeling across Social Media Sites. APWeb (2014)
Lumin Zhang, Jian Pei, Yan Jia, Bin Zhou, Xiang Wang
Do neighbor buddies make a difference in reblog likelihood? An analysis on SINA Weibo data. ASONAM (2014)
Bingying Xu, Lei Deng, Yan Jia, Bin Zhou, Yi Han
Social circle analysis on ego-network based on context frequent pattern mining. ICIMCS (2013)
Zhaoyun Ding, Yan Jia, Bin Zhou, Yi Han, Li He, Jianfeng Zhang
Measuring the spreadability of users in microblogs. J. Zhejiang Univ. Sci. C 14 (9) (2013)
Lei Deng, Bingying Xu, Lumin Zhang, Yi Han, Bin Zhou, Peng Zou
Tracking the evolution of public concerns in social media. ICIMCS (2013)
Zhaoyun Ding, Yan Jia, Bin Zhou, Jianfeng Zhang, Yi Han, Chunfeng Yu
An Influence Strength Measurement via Time-Aware Probabilistic Generative Model for Microblogs. APWeb (2013)
Aiping Li, Jinghu Xu, Liang Gan, Bin Zhou, Yan Jia
An Efficient Approach on Answering Top-k Queries with Grid Dominant Graph Index. APWeb (2013)
Yi Han, Lei Deng, Bingying Xu, Lumin Zhang, Bin Zhou, Yan Jia
Predicting the social influence of upcoming contents in large social networks. ICIMCS (2013)
Lumin Zhang, Yan Jia, Bin Zhou, Yi Han
Detecting real-time burst topics in microblog streams: how sentiment can help. WWW (Companion Volume) (2013)
Xiang Wang, Yan Jia, Ruhua Chen, Hua Fan, Bin Zhou
Improving Text Categorization with Semantic Knowledge in Wikipedia. IEICE Trans. Inf. Syst. (12) (2013)
Bingying Xu, Zheng Liang, Yan Jia, Bin Zhou, Yi Han
Local Community Detection Using Seeds Expansion. CGC (2012)
Zheng Liang, Bingying Xu, Jie Zhao, Yan Jia, Bin Zhou
Chinese New Words Detection Using Mutual Information. ISCTCS (2012)
Zheng Liang, Yan Jia, Bin Zhou
Adaptive Topic Community Tracking in Social Network. APWeb (2012)
Zhaoyun Ding, Yan Jia, Bin Zhou, Yi Han
Mining Tribe-Leaders Based on the Frequent Pattern of Propagation. APWeb Workshops (2012)
Bingying Xu, Zheng Liang, Yan Jia, Bin Zhou
Community Detection Based on Robust Label Propagation Algorithm. ISCTCS (2012)
Lei Deng, Zhaoyun Ding, Bingying Xu, Bin Zhou, Peng Zou
Using Social Intelligence for New Event Detection in Microblog Stream. CGC (2012)
Lumin Zhang, Yan Jia, Bin Zhou, Yi Han
Microblogging Sentiment Analysis Using Emotional Vector. CGC (2012)
Jiuming Huang, Bin Zhou, Quanyuan Wu, Xiaowei Wang, Yan Jia
Contextual correlation based thread detection in short text message streams. J. Intell. Inf. Syst. 38 (2) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bin Zhou