Research and Implementation of Dynamic Web Services Composition. - Haiyan Sun; Xiaodong Wang 002; Bin Zhou 004; Peng Zou (APPT, 2003)

Research and Implementation of CORBA Web Services. - Jianqiang Hu; Bin Zhou 004; Yan Jia 001; Peng Zou (ER (Workshops), 2004)

A Fault-Tolerant Architecture for Grid System. - Lingxia Liu; Quanyuan Wu; Bin Zhou 004 (GCC, 2004)

Agent-Oriented Formal Specification of Web Services. - Hong Zhu 002; Bin Zhou 004; XinJun Mao; Lijun Shan; David A. Duce (GCC Workshops, 2004)

Collaborative Process Execution for Service Composition with StarWebService. - Bixin Liu; Yufeng Wang; Bin Zhou 004; Yan Jia 001 (NPC, 2004)

A Practice in Facilitating Service-Oriented Inter-Enterprise Application Integration. - Bixin Liu; Yan Jia 001; Bin Zhou 004; Yufeng Wang (TES, 2004)

QoS Aware Service Composition with Multiple Quality Constraints. - Bixin Liu; Quanyuan Wu; Yan Jia 001; Bin Zhou 004 (NPC, 2005)

A Fault-Tolerant Web Services Architecture. - Lingxia Liu; Yuming Meng; Bin Zhou 004; Quanyuan Wu (APWeb Workshops, 2006)

A Scalable Method for Efficient Grid Resource Discovery. - Yan Zhang; Yan Jia 001; Xiaobin Huang; Bin Zhou 004; Jian Gu (CDVE, 2007)

A Grid Resource Discovery Method Based on Adaptive k -Nearest Neighbors Clustering. - Yan Zhang; Yan Jia 001; Xiaobin Huang; Bin Zhou 004; Jian Gu (COCOA, 2007)

Automated Testing EJB Components Based on Algebraic Specifications. - Liang Kong; Hong Zhu 002; Bin Zhou 004 (COMPSAC (2), 2007)

A Scalable Mechanism for Semantic Service Discovery in Multi-ontology Environment. - Zhizhong Liu; Huaimin Wang; Bin Zhou 004 (GPC, 2007)

An Adaptive k -Nearest Neighbors Clustering Algorithm for Complex Distribution Dataset. - Yan Zhang; Yan Jia 001; Xiaobin Huang; Bin Zhou 004; Jian Gu (ICIC (2), 2007)

An Adaptive Algorithm for Failure Recovery During Dynamic Service Composition. - Xingzhi Feng; Huaimin Wang; Quanyuan Wu; Bin Zhou 004 (PReMI, 2007)

HOM: An Approach to Calculating Semantic Similarity Utilizing Relations between Ontologies. - Zhizhong Liu; Huaimin Wang; Bin Zhou 004 (AIRS, 2008)

Distributed and Effective Reputation Mechanism in P2P Systems. - Jianli Hu; Quanyuan Wu; Bin Zhou 004 (CSSE (3), 2008)

RBTrust: A Recommendation Belief Based Distributed Trust Management Model for P2P Networks. - Jianli Hu; Quanyuan Wu; Bin Zhou 004 (HPCC, 2008)

FCTrust: A Robust and Efficient Feedback Credibility-Based Distributed P2P Trust Model. - Jianli Hu; Quanyuan Wu; Bin Zhou 004 (ICYCS, 2008)

A Virtual Machine for Distributed Agent-oriented Programming. - Bin Zhou 004; Hong Zhu 002 (SEKE, 2008)

TTEM: An Effective Trust-Based Topology Evolution Mechanism for P2P Networks. - Jianli Hu; Quanyuan Wu; Bin Zhou 004 (J. Commun., 2008)

Secure and Distributed P2P Reputation Management. - Jianli Hu; Quanyuan Wu; Bin Zhou 004 (J. Commun., 2008)

Exploring Event Evolution Patterns at the Atomic Level. - Lei Deng; Zhaoyun Ding; Bingying Xu; Bin Zhou 004; Yan Jia 001; Peng Zou (CyberC, 2011)

A Word Position-Related LDA Model. - Lidong Zhai; Zhaoyun Ding; Yan Jia 001; Bin Zhou 004 (Int. J. Pattern Recognit. Artif. Intell., 2011)

Mining Tribe-Leaders Based on the Frequent Pattern of Propagation. - Zhaoyun Ding; Yan Jia 001; Bin Zhou 004; Yi Han 006 (APWeb Workshops, 2012)

Adaptive Topic Community Tracking in Social Network. - Zheng Liang; Yan Jia 001; Bin Zhou 004 (APWeb, 2012)

Using Social Intelligence for New Event Detection in Microblog Stream. - Lei Deng; Zhaoyun Ding; Bingying Xu; Bin Zhou 004; Peng Zou (CGC, 2012)

Local Community Detection Using Seeds Expansion. - Bingying Xu; Zheng Liang; Yan Jia 001; Bin Zhou 004; Yi Han 006 (CGC, 2012)

Microblogging Sentiment Analysis Using Emotional Vector. - Lumin Zhang; Yan Jia 001; Bin Zhou 004; Yi Han 006 (CGC, 2012)

Chinese New Words Detection Using Mutual Information. - Zheng Liang; Bingying Xu; Jie Zhao; Yan Jia 001; Bin Zhou 004 (ISCTCS, 2012)

Community Detection Based on Robust Label Propagation Algorithm. - Bingying Xu; Zheng Liang; Yan Jia 001; Bin Zhou 004 (ISCTCS, 2012)

Contextual correlation based thread detection in short text message streams. - Jiuming Huang; Bin Zhou 004; Quanyuan Wu; Xiaowei Wang; Yan Jia 001 (J. Intell. Inf. Syst., 2012)

An Influence Strength Measurement via Time-Aware Probabilistic Generative Model for Microblogs. - Zhaoyun Ding; Yan Jia 001; Bin Zhou 004; Jianfeng Zhang; Yi Han 006; Chunfeng Yu (APWeb, 2013)

An Efficient Approach on Answering Top-k Queries with Grid Dominant Graph Index. - Aiping Li; Jinghu Xu; Liang Gan; Bin Zhou 004; Yan Jia 001 (APWeb, 2013)

Tracking the evolution of public concerns in social media. - Lei Deng; Bingying Xu; Lumin Zhang; Yi Han 006; Bin Zhou 004; Peng Zou (ICIMCS, 2013)

Predicting the social influence of upcoming contents in large social networks. - Yi Han 006; Lei Deng; Bingying Xu; Lumin Zhang; Bin Zhou 004; Yan Jia 001 (ICIMCS, 2013)

Social circle analysis on ego-network based on context frequent pattern mining. - Bingying Xu; Lei Deng; Yan Jia 001; Bin Zhou 004; Yi Han 006 (ICIMCS, 2013)

Detecting real-time burst topics in microblog streams: how sentiment can help. - Lumin Zhang; Yan Jia 001; Bin Zhou 004; Yi Han 006 (WWW (Companion Volume), 2013)

Improving Text Categorization with Semantic Knowledge in Wikipedia. - Xiang Wang 015; Yan Jia 001; Ruhua Chen; Hua Fan; Bin Zhou 004 (IEICE Trans. Inf. Syst., 2013)

Measuring the spreadability of users in microblogs. - Zhaoyun Ding; Yan Jia 001; Bin Zhou 004; Yi Han 006; Li He; Jianfeng Zhang (J. Zhejiang Univ. Sci. C, 2013)

Identifying Users Based on Behavioral-Modeling across Social Media Sites. - Yuanping Nie; Jiuming Huang; Aiping Li; Bin Zhou 004 (APWeb, 2014)

Analysis on Chinese Microblog Sentiment Based on Syntax Parsing and Support Vector Machine. - Ziyan Su; Bin Zhou 004; Aiping Li; Yi Han 006 (APWeb Workshophs, 2014)

Do neighbor buddies make a difference in reblog likelihood? An analysis on SINA Weibo data. - Lumin Zhang; Jian Pei 001; Yan Jia 001; Bin Zhou 004; Xiang Wang 015 (ASONAM, 2014)

Topic Detection Based on User Intention. - Lu Deng; Yong Quan; Jing Xu; Jiuming Huang; Bin Zhou 004 (ICDM Workshops, 2015)

Tracking Public Concerns: How Mobile Service Providers Understand Their Users? - Bin Zhou 004; Lei Deng; Jingze Li (IEEE MS, 2015)

Mining Personal Interests of Microbloggers Based on Free Tags in SINA Weibo. - Xiang Wang 015; Xiang Yu; Bin Zhou 004; Yan Jia 001 (WAIM Workshops, 2015)

Multi-Window Based Ensemble Learning for Classification of Imbalanced Streaming Data. - Ye Wang 015; Hu Li; Hua Wang 002; Bin Zhou 004; Yanchun Zhang (WISE (2), 2015)

Detecting Internet Hidden Paid Posters Based on Group and Individual Characteristics. - Xiang Wang 015; Bin Zhou 004; Yan Jia 001; Shasha Li (WISE (2), 2015)

An Unsupervised Method for Linking Entity Mentions in Chinese Text. - Jing Xu; Liang Gan; Bin Zhou 004; Quanyuan Wu (APSCC, 2016)

An Unsupervised Method for Entity Mentions Extraction in Chinese Text. - Jing Xu; Liang Gan; Bin Zhou 004; Quanyuan Wu (APSCC, 2016)

The Prediction of User Topic Interest Based on Tags and Interaction of Users. - Lu Deng; Jiuming Huang; Yi Han 006; Bin Zhou 004; Qiang Liu 004 (DSC, 2016)

A Novel Method of Influence Ranking via Node Degree and H-index for Community Detection. - Qiang Liu 004; Lu Deng; Junxing Zhu; Fenglan Li; Bin Zhou 004; Peng Zou (WAIM Workshops, 2016)

Sockpuppet gang detection on social media sites. - Dong Liu; Quanyuan Wu; Weihong Han; Bin Zhou 004 (Frontiers Comput. Sci., 2016)

Identifying users across social networks based on dynamic core interests. - Yuanping Nie; Yan Jia 001; Shudong Li; Xiang Zhu; Aiping Li; Bin Zhou 004 (Neurocomputing, 2016)

Broad Learning based Multi-Source Collaborative Recommendation. - Junxing Zhu; Jiawei Zhang 001; Lifang He 001; Quanyuan Wu; Bin Zhou 004; Chenwei Zhang; Philip S. Yu (CIKM, 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 004 (DSC, 2017)

Semi-Supervised Collective Matrix Factorization for Topic Detection and Document Clustering. - Ye Wang 015; Yanchun Zhang; Bin Zhou 004; Yan Jia 001 (DSC, 2017)

CFXGBoost: Topic phrase extraction based on context features and XGBoost for knowledge base question answering. - Han Han; Fengyu Yang; Jiuming Huang; Bin Zhou 004 (ICNC-FSKD, 2017)

The Fine-Grained Topic Evolution Based on the Probability Model. - Xin Liu 011; Yan Jia 001; Bin Zhou 004; Liqun Gao (ISCID (2), 2017)

Topic Detection with Locally Weighted Semi-supervised Collective Learning. - Ye Wang 015; Yong Quan; Bin Zhou 004; Yanchun Zhang; Min Peng 002 (WISE (2), 2017)

A Refined Method for Detecting Interpretable and Real-Time Bursty Topic in Microblog Stream. - Tao Zhang; Bin Zhou 004; Jiuming Huang; Yan Jia 001; Bing Zhang; Zhi Li (WISE (1), 2017)

CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks. - Junxing Zhu; Jiawei Zhang 001; Chenwei Zhang; Quanyuan Wu; Yan Jia 001; Bin Zhou 004; Philip S. Yu (IEEE Access, 2017)

Leveraging local h-index to identify and rank influential spreaders in networks. - Qiang Liu 004; Yuxiao Zhu; Yan Jia 001; Lu Deng; Bin Zhou 004; Junxing Zhu; Peng Zou (CoRR, 2017)

Real-time personalized twitter search based on semantic expansion and quality model. - Xiang Zhu; Jiuming Huang; Bin Zhou 004; Aiping Li; Yan Jia 001 (Neurocomputing, 2017)

Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks. - Junxing Zhu; Jiawei Zhang 001; Quanyuan Wu; Yan Jia 001; Bin Zhou 004; Xiaokai Wei; Philip S. Yu (Sensors, 2017)

Multi-window based ensemble learning for classification of imbalanced streaming data. - Hu Li; Ye Wang 015; Hua Wang 002; Bin Zhou 004 (World Wide Web, 2017)

Virtual Community Detection Model and Related Research in Online Social Networks. - Yan Jia 001; Qiang Liu 004; Binxing Fang; Bin Zhou 004; Lu Deng; Yong Quan (DSC, 2018)

Topic Analysis Model for Online Social Network. - Yan Jia 001; Lu Deng; Bin Zhou 004; Binxing Fang; Weihong Han; Aiping Li; Qiang Liu 004; Yong Quan (DSC, 2018)

Sentiment Analysis Based on Deep Learning and Its Application in Screening for Perinatal Depression. - Yong Chen; Bin Zhou 004; Weina Zhang; Wenjie Gong; Guangfu Sun (DSC, 2018)

Structural Vulnerability of Complex Networks Under Multiple Edge-Based Attacks. - Shudong Li; Xiaobo Wu; Aiping Li; Bin Zhou 004; Zhihong Tian; Dawei Zhao (DSC, 2018)

Repost prediction incorporating time-sensitive mutual influence in social networks. - Yong Quan; Yan Jia 001; Bin Zhou 004; Weihong Han; Shudong Li (J. Comput. Sci., 2018)

Influence efficiency maximization: How can we spread information efficiently? - Xiang Zhu; Zhefeng Wang 001; Yu Yang 001; Bin Zhou 004; Yan Jia 001 (J. Comput. Sci., 2018)

User interest mining via tags and bidirectional interactions on Sina Weibo. - Lu Deng; Yan Jia 001; Bin Zhou 004; Jiuming Huang; Yi Han 006 (World Wide Web, 2018)

BICON: Connecting the Same Users of Different Social Networks using BiLSTM. - Hao Wang; Bin Zhou 004; Jiuming Huang; Yunxuan Liu; Xinping Zheng; Weihong Han (DSC, 2019)

Identify Influentials Based on User Behavior Across Different Topics. - Yong Quan; Yichen Song; Lu Deng; Yan Jia 001; Bin Zhou 004; Weihong Han (ICAIS (4), 2019)

Person Entity Attribute Extraction Based on Siamese Network. - Yangchen Huang; Aiping Li; Bin Zhou 004; Jiuming Huang; Long Lan; Xiaoyao Yin; Yan Jia 001 (IEEE Access, 2019)

Deep Entity Linking via Eliminating Semantic Ambiguity With BERT. - Xiaoyao Yin; Yangchen Huang; Bin Zhou 004; Aiping Li; Long Lan; Yan Jia 001 (IEEE Access, 2019)

Deep Learning for Social Network Information Cascade Analysis: a survey. - Liqun Gao; Bin Zhou 004; Yan Jia 001; Hongkui Tu; Ye Wang 015; Chenguang Chen; Haiyang Wang; Hongwu Zhuang (DSC, 2020)

Contextual Gated Graph Convolutional Networks for Social Unrest Events Prediction. - Haiyang Wang; Bin Zhou 004; Zhipin Gu; Yan Jia 001 (DSC, 2020)

A Low-Dimensional Representation Learning Method for Text Classification and Clustering. - Xiang Wang 015; Yunfan Liao; Junxing Zhu; Bin Zhou 004; Yan Jia 001 (DSC, 2020)

Multi-Target Stance Detection with Multi-Task Learning. - Chenguang Chen; Wen Xi; Bin Zhou 004 (ICCPR, 2020)

A Cooperative Tracker by Fusing Correlation Filter and Siamese Network. - Bin Zhou 004; Xin Liu 011; Bineng Zhong (PRCV (2), 2020)

A Graph Data Privacy-Preserving Method Based on Generative Adversarial Networks. - Aiping Li; Junbin Fang; Qianye Jiang; Bin Zhou 004; Yan Jia 001 (WISE (2), 2020)

Knowledge-Infused Pre-trained Models for KG Completion. - Han Yu; Rong Jiang 001; Bin Zhou 004; Aiping Li (WISE (1), 2020)

A multiview approach based on naming behavioral modeling for aligning chinese user accounts across multiple networks. - Junxing Zhu; Xiang Wang 015; Qiang Liu 004; Xiaoyong Li 002; Chengcheng Shao; Bin Zhou 004 (Concurr. Comput. Pract. Exp., 2020)

A Multi-View Approach Based on Naming Behavioral Modeling for Aligning Chinese User Accounts across Multiple Networks. - Junxing Zhu; Xiang Wang 015; Qiang Liu 004; Xiaoyong Li 002; Chengcheng Shao; Bin Zhou 004 (CoRR, 2020)

A Measurement Model of Mutual Influence for Information Dissemination. - Liang Zhang; Yong Quan; Bin Zhou 004; Yan Jia 001; Liqun Gao (Entropy, 2020)

Guest editorial: special issue on data science in cyberspace 2019. - Bin Zhou 004; Feifei Li; Jinjun Chen; Ye Wang 015 (World Wide Web, 2020)

A Manifold Learning Method to Passage Retrieval for Open-Domain Question Answering. - Ruidong Ding; Bin Zhou 004; Hongkui Tu (DSC, 2021)

A Survey of Cyber Security Approaches for Prediction. - Haitian Liu; Rong Jiang 001; Bin Zhou 004; Xing Rong; Juan Li; Aiping Li (DSC, 2021)

Rumor Detection on Social Media Using Temporal Dynamic Structure and Emotional Information. - Chenming Wang; Bin Zhou 004; Hongkui Tu; Yujia Liu (DSC, 2021)

PTMT: Multi-Target Stance Detection with PTM-enhanced Multi-Task Learning. - Wen Xi; Chenguang Chen; Hongwu Zhuang; Haiyang Wang; Liqun Gao; Bin Zhou 004 (DSC, 2021)

Modeling Connection Strength in Graph Neural Networks for Social Influence Prediction. - Hongwu Zhuang; Bin Zhou 004; Wen Xi; Liqun Gao; Haiyang Wang (DSC, 2021)

DGCN-rs: A Dilated Graph Convolutional Networks Jointly Modelling Relation and Semantic for Multi-event Forecasting. - Xin Song; Haiyang Wang; Bin Zhou 004 (ICONIP (3), 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 004 (PAKDD (1), 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 004 (PAKDD (1), 2021)

KatGCN: Knowledge-Aware Attention based Temporal Graph Convolutional Network for Multi-Event Prediction. - Xin Song; Haiyang Wang; Kang Zeng; Yujia Liu; Bin Zhou 004 (SEKE, 2021)

BEHIND: a 4W-oriented Method for Event Detection from Twitter. - Kang Zeng; Yujia Liu; Xin Song; Bin Zhou 004 (SEKE, 2021)

MSSF-GCN: Multi-scale Structural and Semantic Information Fusion Graph Convolutional Network for Controversy Detection. - Haiyang Wang; Xin Song; Bin Zhou 004; Ye Wang 015; Liqun Gao; Yan Jia 001 (WISE (1), 2021)

Performance Evaluation of Pre-trained Models in Sarcasm Detection Task. - Haiyang Wang; Xin Song; Bin Zhou 004; Ye Wang 015; Liqun Gao; Yan Jia 001 (WISE (2), 2021)

Popularity Prediction of Online Contents via Cascade Graph and Temporal Information. - Yingdan Shang; Bin Zhou 004; Ye Wang 015; Aiping Li; Kai Chen; Yichen Song; Changjian Lin (Axioms, 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 004; Aiping Li (Frontiers Neurorobotics, 2021)

Rumor Detection Based on SAGNN: Simplified Aggregation Graph Neural Networks. - Liang Zhang; Jingqun Li; Bin Zhou 004; Yan Jia 001 (Mach. Learn. Knowl. Extr., 2021)

The Framework of the MDATA Computing Model. - Yan Jia 001; Aiping Li; Zhaoquan Gu; Bin Zhou 004; Ye Wang 015; Xiang Wang 015; Hongkui Tu (MDATA: A New Knowledge Representation Model, 2021)

Information Cascading in Social Networks. - Liqun Gao; Bin Zhou 004; Yan Jia 001; Hongkui Tu; Ye Wang 015 (MDATA: A New Knowledge Representation Model, 2021)

Social Unrest Events Prediction by Contextual Gated Graph Convolutional Networks. - Haiyang Wang; Bin Zhou 004; Zhipin Gu; Yan Jia 001 (MDATA: A New Knowledge Representation Model, 2021)

TiSA: a Time Interval Aware Self-Attention model for Popularity Prediction on Social Networks. - Xiang Zeng; Yujia Liu; Xin Song; Yingdan Shang; Bin Zhou 004 (DSAA, 2022)

Prediction of Real Popularity based on Sample Debias. - Liang Li; Liqun Gao; Feng Xie 003; Bin Zhou 004 (DSC, 2022)

Multiple Sequential Network Attacks Detection Based on DTW-HMM. - Haitian Liu; Rong Jiang 001; Bin Zhou 004; Xing Rong; Juan Li; Aiping Li (DSC, 2022)

Domain-adaptive Graph based on Post-hoc Explanation for Cross-domain Hate Speech Detection. - Yushan Jiang; Bin Zhou 004; Xuechen Zhao; Jiaying Zou; Feng Xie 003; Liang Li (ICTAI, 2022)

Multitask Learning Neural Networks for Pandemic Prediction with Public Stance Enhancement. - Zhong Zhang; Feng Xie 003; Xuechen Zhao; Bin Zhou 004; Jian Chen; Lei Tian (ICTAI, 2022)

Zero-Shot Stance Detection via Sentiment-Stance Contrastive Learning. - Jiaying Zou; Xuechen Zhao; Feng Xie 003; Bin Zhou 004; Zhong Zhang; Lei Tian (ICTAI, 2022)

EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting. - Feng Xie 003; Zhong Zhang; Liang Li; Bin Zhou 004; Yusong Tan (ECML/PKDD (6), 2022)

Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting. - Feng Xie 003; Zhong Zhang; Xuechen Zhao; Bin Zhou 004; Yusong Tan (SEKE, 2022)

Info-HGCN: Hyperbolic Graph Convolution Networks for Information Diffusion Prediction. - Xiang Zeng; Xin Song; Yingdan Shang; Feng Xie 003; Bin Zhou 004 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies. - Feng Xie 003; Zhong Zhang; Xuechen Zhao; Jiaying Zou; Bin Zhou 004; Yusong Tan (CoRR, 2022)

Zero-shot stance detection based on cross-domain feature enhancement by contrastive learning. - Xuechen Zhao; Jiaying Zou; Zhong Zhang; Feng Xie 003; Bin Zhou 004; Lei Tian (CoRR, 2022)

Multi-Level Consistency Learning for Source-Free Model Adaptation. - Xin Luo 009; Wei Chen 009; Chen Li 034; Bin Zhou 004; Yusong Tan (IEEE Robotics Autom. Lett., 2022)

A Unified Information Diffusion Prediction Model Based on Multi-task Learning. - Yingdan Shang; Bin Zhou 004; Xiang Zeng; Kai Chen (ADMA (4), 2023)

Incorporating Mental State into Contrastive Learning for Fine-grained Implicit Hate Speech Classification. - Haiyang Wang; Xin Song; Bin Zhou 004; Xuechen Zhao (CogSci, 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 003; Haiyang Wang; Hongzhou Wu; Bin Zhou 004; Jie Tian (CogSci, 2023)

Adversarial Learning-Based Stance Classifier for COVID-19-Related Health Policies. - Feng Xie 003; Zhong Zhang; Xuechen Zhao; Haiyang Wang; Jiaying Zou; Lei Tian; Bin Zhou 004; Yusong Tan (DASFAA (4), 2023)

MixTEA: Semi-supervised Entity Alignment with Mixture Teaching. - Feng Xie 003; Xin Song; Xiang Zeng; Xuechen Zhao; Lei Tian; Bin Zhou 004; Yusong Tan (EMNLP (Findings), 2023)

Domain Generalized Fundus Image Segmentation via Dual-Level Mixing. - Xin Luo 009; Wei Chen 009; Chen Li 034; Bin Zhou 004; Yusong Tan (ICASSP, 2023)

Improving Knowledge Graph Entity Alignment with Graph Augmentation. - Feng Xie 003; Xiang Zeng; Bin Zhou 004; Yusong Tan (PAKDD (2), 2023)

Feature Enhanced Zero-Shot Stance Detection via Contrastive Learning. - Xuechen Zhao; Jiaying Zou; Zhong Zhang; Feng Xie 003; Bin Zhou 004; Lei Tian (SDM, 2023)

Multimodal Sentiment Analysis Using BiGRU and Attention-Based Hybrid Fusion Strategy. - Zhizhong Liu; Bin Zhou 004; Lingqiang Meng; Guangyu Huang (Intell. Autom. Soft Comput., 2023)

PerHeFed: A general framework of personalized federated learning for heterogeneous convolutional neural networks. - Le Ma; Yuying Liao; Bin Zhou 004; Wen Xi (World Wide Web (WWW), 2023)

Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset. - Haiyang Wang; Ye Wang 015; Xin Song; Bin Zhou 004; Xuechen Zhao; Feng Xie 003 (World Wide Web (WWW), 2023)

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 004 (LREC/COLING, 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 004 (EMNLP, 2024)

MSFR: Stance Detection Based on Multi-Aspect Semantic Feature Representation via Hierarchical Contrastive Learning. - Xuechen Zhao; Lei Tian; Feng Xie 003; Bin Zhou 004; Haiyang Wang; Hongzhou Wu; Liqun Gao (ICASSP, 2024)

Feature Interaction for Temporal Knowledge Graph Extrapolation. - Yinxuan Huang; Chenxi Zhu; Kai Chen; Xuechen Zhao; Liqun Gao; Kai Xiao; Yanyi Huang; Bin Zhou 004 (ICIC (13), 2024)

A Multi-modal Prompt Learning Framework for Early Detection of Fake News. - Weiqi Hu; Ye Wang 015; Yan Jia 001; Qing Liao 001; Bin Zhou 004 (ICWSM, 2024)

Zero-shot stance detection based on multi-perspective transferable feature fusion. - Xuechen Zhao; Jiaying Zou; Jinfeng Miao; Lei Tian; Liqun Gao; Bin Zhou 004; Shengnan Pang (Inf. Fusion, 2024)

Modality translation-based multimodal sentiment analysis under uncertain missing modalities. - Zhizhong Liu; Bin Zhou 004; Dianhui Chu; Yuhang Sun; Lingqiang Meng (Inf. Fusion, 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 004; Renzhang Chen; Bin Lei; Junbin Fang (IEEE Trans. Educ., 2024)

DraftFed: A Draft-Based Personalized Federated Learning Approach for Heterogeneous Convolutional Neural Networks. - Yuying Liao; Le Ma; Bin Zhou 004; Xuechen Zhao; Feng Xie 003 (IEEE Trans. Mob. Comput., 2024)

LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs. - Kai Chen; Xin Song; Ye Wang 015; Liqun Gao; Aiping Li; Xiaojuan Zhao; Bin Zhou 004; Yalong Xie (AAAI, 2025)

Battling against Tough Resister: Strategy Planning with Adversarial Game for Non-collaborative Dialogues. - Haiyang Wang; Zhiliang Tian; Yuchen Pan; Xin Song; Xin Niu 002; Minlie Huang; Bin Zhou 004 (ACL (1), 2025)

DPC: Large Model Alignment Method based on Decoding Probability Correction. - Yanyi Huang; Yuying Liu; Lei Tian; Yue Zhang; Xuechen Zhao; Bin Zhou 004; Guodong Ma (ICASSP, 2025)

An ensemble approach for unsupervised anomaly and cyber attack detection. - Haitian Liu; Rong Jiang 001; Bin Zhou 004 (J. Comput. Secur., 2025)

Incorporating structural knowledge into language models for open knowledge graph completion. - Xin Song; Ye Wang 015; Bin Zhou 004; Haiyang Wang; Yanyi Huang; Liqun Gao (World Wide Web (WWW), 2025)

RLJP: Legal Judgment Prediction via First-Order Logic Rule-enhanced with Large Language Models. - Yue Zhang; Zhiliang Tian; Shicheng Zhou; Haiyang Wang; Wenqing Hou; Yuying Liu; Xuechen Zhao; Minlie Huang; Ye Wang 015; Bin Zhou 004 (CoRR, 2025)