Guandong Xu

According to our database, Guandong Xu authored at least 372 papers between 2004 and 2024.

Collaborative distances:

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

2024

Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic.

Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu

IEEE J. Biomed. Health Informatics, April, 2024

Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve.

Zhihong Cui, Xiangguo Sun, Hongxu Chen, Li Pan, Lizhen Cui, Shijun Liu, Guandong Xu

IEEE Trans. Comput. Soc. Syst., April, 2024

FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems.

Yao Wu, Jian Cao, Guandong Xu

ACM Trans. Inf. Syst., January, 2024

Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation.

Dongjing Wang, Xin Zhang, Yuyu Yin, Dongjin Yu, Guandong Xu, Shuiguang Deng

ACM Trans. Inf. Syst., January, 2024

Fairness in Recommender Systems: Evaluation Approaches and Assurance Strategies.

Yao Wu, Jian Cao, Guandong Xu

ACM Trans. Knowl. Discov. Data, January, 2024

Strategies for evaluating visual analytics systems: A systematic review and new perspectives.

Md. Rafiqul Islam, Shanjita Akter, Linta Islam, Imran Razzak, Xianzhi Wang, Guandong Xu

Inf. Vis., January, 2024

Dyformer: A dynamic transformer-based architecture for multivariate time series classification.

Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu

Inf. Sci., January, 2024

Exploring explicit and implicit graph learning for multivariate time series imputation.

Yakun Chen, Ruotong Hu, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu

Eng. Appl. Artif. Intell., January, 2024

Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment.

Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu

IEEE Trans. Multim., 2024

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation.

Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu

CoRR, 2024

Challenging Low Homophily in Social Recommendation.

Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin

CoRR, 2024

APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning.

Guiming Cao, Kaize Shi, Hong Fu, Huaiwen Zhang, Guandong Xu

CoRR, 2024

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation.

Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu

CoRR, 2024

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit.

Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu

CoRR, 2024

IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification.

Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Graph Reasoning Transformers for Knowledge-Aware Question Answering.

Ruilin Zhao, Feng Zhao, Liang Hu, Guandong Xu

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

2023

AIoT for sustainable manufacturing: Overview, challenges, and opportunities.

Abdul Matin, Md. Rafiqul Islam, Xianzhi Wang, Huan Huo, Guandong Xu

Internet Things, December, 2023

An effective method for the protection of user health topic privacy for health information services.

Zongda Wu, Huawen Liu, Jian Xie, Guandong Xu, Gang Li, Chenglang Lu

World Wide Web (WWW), November, 2023

Self-Supervised Hypergraph Representation Learning for Sociological Analysis.

Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin

IEEE Trans. Knowl. Data Eng., November, 2023

Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation.

Yicong Li, Hongxu Chen, Yile Li, Lin Li, Philip S. Yu, Guandong Xu

IEEE Trans. Knowl. Data Eng., November, 2023

Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning.

Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu

Inf. Sci., November, 2023

Intent-aware Graph Neural Network for Point-of-Interest embedding and recommendation.

Xingliang Wang, Dongjing Wang, Dongjin Yu, Runze Wu, Qimeng Yang, Shuiguang Deng, Guandong Xu

Neurocomputing, November, 2023

Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2.

Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas

ACM Trans. Inf. Syst., October, 2023

Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu

IEEE Trans. Knowl. Data Eng., October, 2023

Graph-Aware Deep Fusion Networks for Online Spam Review Detection.

Li He, Guandong Xu, Shoaib Jameel, Xianzhi Wang, Hongxu Chen

IEEE Trans. Comput. Soc. Syst., October, 2023

Hyperbolic Neural Collaborative Recommender.

Anchen Li, Bo Yang, Huan Huo, Hongxu Chen, Guandong Xu, Zhen Wang

IEEE Trans. Knowl. Data Eng., September, 2023

Causal Optimal Transport for Treatment Effect Estimation.

Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu

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

Event-based incremental recommendation via factors mixed Hawkes process.

Zhihong Cui, Xiangguo Sun, Li Pan, Shijun Liu, Guandong Xu

Inf. Sci., August, 2023

A Confusion Method for the Protection of User Topic Privacy in Chinese Keyword-based Book Retrieval.

Zongda Wu, Jian Xie, Shigen Shen, Chongze Lin, Guandong Xu, Enhong Chen

ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

Guest Editorial Open and Interpretable AI in Computational Pathology.

Imran Razzak, Muhammad Khuram Khan, Guandong Xu, Fahmi Khalifa

IEEE J. Biomed. Health Informatics, April, 2023

Attentional Gated Res2Net for Multivariate Time Series Classification.

Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu

Neural Process. Lett., April, 2023

Deconfounded recommendation via causal intervention.

Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu

Neurocomputing, April, 2023

Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks.

Abdul Rehman Javed, Imran Razzak, Guandong Xu

IEEE J. Biomed. Health Informatics, February, 2023

Be Causal: De-Biasing Social Network Confounding in Recommendation.

Qian Li, Xiangmeng Wang, Zhichao Wang, Guandong Xu

ACM Trans. Knowl. Discov. Data, January, 2023

Social responses to the COVID-19 pandemic.

Wu He, Guandong Xu, Imran Razzak

Behav. Inf. Technol., January, 2023

Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1.

Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas

ACM Trans. Inf. Syst., 2023

Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data.

David Hason Rudd, Huan Huo, Md. Rafiqul Islam, Guandong Xu

CoRR, 2023

GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation.

Yakun Chen, Xianzhi Wang, Guandong Xu

CoRR, 2023

LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following.

Kaize Shi, Xueyao Sun, Dingxian Wang, Yinlin Fu, Guandong Xu, Qing Li

CoRR, 2023

Counterfactual Explanation for Fairness in Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu

CoRR, 2023

Causal Neural Graph Collaborative Filtering.

Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Guandong Xu

CoRR, 2023

Causal Analysis of Customer Churn Using Deep Learning.

David Hason Rudd, Huan Huo, Guandong Xu

CoRR, 2023

Achieving Counterfactual Fairness with Imperfect Structural Causal Model.

Tri Dung Duong, Qian Li, Guandong Xu

CoRR, 2023

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.

Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu

Proceedings of the ACM Web Conference 2023, 2023

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation.

Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Simplifying Graph-based Collaborative Filtering for Recommendation.

Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Dynamic Graph Evolution Learning for Recommendation.

Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation.

Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance.

David Hason Rudd, Huan Huo, Guandong Xu

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

CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows.

Tri Dung Duong, Qian Li, Guandong Xu

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

An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations.

Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Explainable exclusion in the life insurance using multi-label classifier.

Khanh-Van Nguyen, Md. Rafiqul Islam, Huan Huo, Peter Tilocca, Guandong Xu

Proceedings of the International Joint Conference on Neural Networks, 2023

SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems.

Shiqing Wu, Guandong Xu, Xianzhi Wang

Proceedings of the IEEE International Conference on Data Mining, 2023

IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting.

Kangzheng Liu, Feng Zhao, Guandong Xu, Shiqing Wu

Proceedings of the IEEE International Conference on Data Mining, 2023

RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation.

Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin

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

Causality-guided Graph Learning for Session-based Recommendation.

Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation.

Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations.

Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu

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

MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation.

Yakun Chen, Kaize Shi, Xianzhi Wang, Guandong Xu

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

AMR-TST: Abstract Meaning Representation-based Text Style Transfer.

Kaize Shi, Xueyao Sun, Li He, Dingxian Wang, Qing Li, Guandong Xu

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

HaPPy: Harnessing the Wisdom from Multi-Perspective Graphs for Protein-Ligand Binding Affinity Prediction (Student Abstract).

Xianfeng Zhang, Yanhui Gu, Guandong Xu, Yafei Li, Jinlan Wang, Zhenglu Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions.

David Hason Rudd, Huan Huo, Guandong Xu

Hum. Centric Intell. Syst., July, 2022

Online Spam Review Detection: A Survey of Literature.

Li He, Xianzhi Wang, Hongxu Chen, Guandong Xu

Hum. Centric Intell. Syst., June, 2022

Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media.

Hamad Zogan, Imran Razzak, Xianzhi Wang, Shoaib Jameel, Guandong Xu

World Wide Web, 2022

API-GNN: attribute preserving oriented interactive graph neural network.

Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian Li, Chuan Zhou, Guandong Xu

World Wide Web, 2022

Reinforced KGs reasoning for explainable sequential recommendation.

Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin

World Wide Web, 2022

Causal inference for the impact of economic policy on financial and labour markets amid the COVID-19 pandemic.

Nhi N. Y. Vo, Guandong Xu, Dat Anh Le

Web Intell., 2022

Deep treatment-adaptive network for causal inference.

Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu

VLDB J., 2022

Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention.

Wenhua Wang, Yuqun Zhang, Yulei Sui, Yao Wan, Zhou Zhao, Jian Wu, Philip S. Yu, Guandong Xu

IEEE Trans. Software Eng., 2022

Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation.

Dongjing Wang, Xin Zhang, Yao Wan, Dongjin Yu, Guandong Xu, Shuiguang Deng

IEEE Trans. Multim., 2022

V-SVR+: Support Vector Regression With Variational Privileged Information.

Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu

IEEE Trans. Multim., 2022

Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures.

Imran Razzak, Guandong Xu, Muhammad Khurram Khan

IEEE Trans. Ind. Informatics, 2022

Sequential Recommendation Based on Multivariate Hawkes Process Embedding With Attention.

Dongjing Wang, Xin Zhang, Zhengzhe Xiang, Dongjin Yu, Guandong Xu, Shuiguang Deng

IEEE Trans. Cybern., 2022

Privileged multi-task learning for attribute-aware aesthetic assessment.

Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu

Pattern Recognit., 2022

Improving healthcare outcomes using multimedia big data analytics.

Imran Razzak, Peter W. Eklund, Guandong Xu

Neural Comput. Appl., 2022

Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19.

Omar Sharif, Md. Rafiqul Islam, Md Zobaer Hasan, Muhammad Ashad Kabir, Md Emran Hasan, Salman A. AlQahtani, Guandong Xu

J. Heal. Informatics Res., 2022

Detecting Duplicate Questions in Stack Overflow via Source Code Modeling.

Wei Gao, Jian Wu, Guandong Xu

Int. J. Softw. Eng. Knowl. Eng., 2022

Social dual-effect driven group modeling for neural group recommendation.

Peipei Wang, Lin Li, Qing Xie, Ru Wang, Guandong Xu

Neurocomputing, 2022

Stochastic intervention for causal inference via reinforcement learning.

Tri Dung Duong, Qian Li, Guandong Xu

Neurocomputing, 2022

Learning persona-driven personalized sentimental representation for review-based recommendation.

Peipei Wang, Lin Li, Ru Wang, Xinhao Zheng, Jiaxi He, Guandong Xu

Expert Syst. Appl., 2022

COV19IR : COVID-19 Domain Literature Information Retrieval.

Arusarka Bose, Zili Zhou, Guandong Xu

CoRR, 2022

Federated Graph Contrastive Learning.

Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu

CoRR, 2022

Reinforced Path Reasoning for Counterfactual Explainable Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu

CoRR, 2022

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.

Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Guandong Xu

CoRR, 2022

Graph Masked Autoencoder.

Hongxu Chen, Sixiao Zhang, Guandong Xu

CoRR, 2022

Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu

CoRR, 2022

Domain-specific NLP system to support learning path and curriculum design at tech universities.

Nhi N. Y. Vo, Quang T. Vu, Nam H. Vu, Tu A. Vu, Bang D. Mach, Guandong Xu

Comput. Educ. Artif. Intell., 2022

Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation.

Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Dual Space Graph Contrastive Learning.

Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Off-policy Learning over Heterogeneous Information for Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing.

Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction.

Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Cross-Language Binary-Source Code Matching with Intermediate Representations.

Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin

Proceedings of the IEEE International Conference on Software Analysis, 2022

You see what I want you to see: poisoning vulnerabilities in neural code search.

Yao Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Dezhong Yao, Hai Jin, Lichao Sun

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations.

Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation.

Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Semantics-Guided Disentangled Learning for Recommendation.

Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

A Two-Tower Spatial-Temporal Graph Neural Network for Traffic Speed Prediction.

Yansong Shen, Lin Li, Qing Xie, Xin Li, Guandong Xu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Leveraged Mel Spectrograms Using Harmonic and Percussive Components in Speech Emotion Recognition.

David Hason Rudd, Huan Huo, Guandong Xu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code.

Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

NaturalCC: An Open-Source Toolkit for Code Intelligence.

Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

Adaptive Graph Recurrent Network for Multivariate Time Series Imputation.

Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning.

Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin

Proceedings of the IEEE International Conference on Data Mining, 2022

Can Language Models Serve as Temporal Knowledge Bases?

Ruilin Zhao, Feng Zhao, Guandong Xu, Sixiao Zhang, Hai Jin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

DialMed: A Dataset for Dialogue-based Medication Recommendation.

Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen, Guandong Xu, Jian Wu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning.

Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Big Data and Artificial Intelligence (AI) to Detect Glaucoma.

Lei Yang, Yao Xie, Md. Rafiqul Islam, Guandong Xu

Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

ECTRS: A Personalised Early Career Trajectory Recommender System for Youths.

Avery Tzeng Chiet Ngiam, Md. Rafiqul Islam, Guandong Xu

Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

Evidence-Based Process in Research Involving Machine Learning Algorithms.

Wilson Kurnia Lukmanjaya, Md. Rafiqul Islam, Guandong Xu

Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification.

Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang, Guandong Xu

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Predicting Financial Literacy via Semi-supervised Learning.

David Hason Rudd, Huan Huo, Guandong Xu

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Blockchain-based solutions for Humanitarian supply Chain Management.

Bavly Hanna, Guandong Xu, Xianzhi Wang, Md. Jahangir Hossain

Proceedings of the 28th Americas Conference on Information Systems, 2022

Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks.

Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs.

Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu

Proceedings of the IEEE International Conference on Services Computing, 2022

2021

DFIAM: deep factorization integrated attention mechanism for smart TV recommendation.

Yijie Zhou, Xuewen Shen, Suiyu Zhang, Dingguo Yu, Guandong Xu

World Wide Web, 2021

Constructing dummy query sequences to protect location privacy and query privacy in location-based services.

Zongda Wu, Guiling Li, Shigen Shen, Xinze Lian, Enhong Chen, Guandong Xu

World Wide Web, 2021

Attentive sequential model based on graph neural network for next poi recommendation.

Dongjing Wang, Xingliang Wang, Zhengzhe Xiang, Dongjin Yu, Shuiguang Deng, Guandong Xu

World Wide Web, 2021

RLINK: Deep reinforcement learning for user identity linkage.

Xiaoxue Li, Yanan Cao, Qian Li, Yanmin Shang, Yangxi Li, Yanbing Liu, Guandong Xu

World Wide Web, 2021

Aspect-level sentiment capsule network for micro-video click-through rate prediction.

Yuqiang Han, Pan Gu, Wei Gao, Guandong Xu, Jian Wu

World Wide Web, 2021

FCCA: Hybrid Code Representation for Functional Clone Detection Using Attention Networks.

Wei Hua, Yulei Sui, Yao Wan, Guangzhong Liu, Guandong Xu

IEEE Trans. Reliab., 2021

CAME: Content- and Context-Aware Music Embedding for Recommendation.

Dongjing Wang, Xin Zhang, Dongjin Yu, Guandong Xu, Shuiguang Deng

IEEE Trans. Neural Networks Learn. Syst., 2021

Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia.

Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen

IEEE Trans. Comput. Soc. Syst., 2021

Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond.

Jun Jason Zhang, Fei-Yue Wang, Yong Yuan, Guandong Xu, Huan Liu, Wei Gao, Shoaib Jameel, Imran Razzak, Peter W. Eklund, Sheraz Ahmed, Rui Qin, Juanjuan Li, Xiao Wang, De-Nian Yang, Damla Turgut, Abderrahim Benslimane, Neeli Prasad, Kwang-Cheng Chen

IEEE Trans. Comput. Soc. Syst., 2021

Socially-driven multi-interaction attentive group representation learning for group recommendation.

Peipei Wang, Lin Li, Ru Wang, Guandong Xu, Jianwei Zhang

Pattern Recognit. Lett., 2021

Towards purchase prediction: A transaction-based setting and a graph-based method leveraging price information.

Zongxi Li, Haoran Xie, Guandong Xu, Qing Li, Mingming Leng, Chi Zhou

Pattern Recognit., 2021

From text to graph: a general transition-based AMR parsing using neural network.

Min Gu, Yanhui Gu, Weilan Luo, Guandong Xu, Zhenglu Yang, Junsheng Zhou, Weiguang Qu

Neural Comput. Appl., 2021

Leveraging unstructured call log data for customer churn prediction.

Nhi N. Y. Vo, Shaowu Liu, Xitong Li, Guandong Xu

Knowl. Based Syst., 2021

Leveraging multi-level dependency of relational sequences for social spammer detection.

Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu

Neurocomputing, 2021

Enhancing session-based social recommendation through item graph embedding and contextual friendship modeling.

Pan Gu, Yuqiang Han, Wei Gao, Guandong Xu, Jian Wu

Neurocomputing, 2021

<i>DiaVis</i>: Exploration and Analysis of Diabetes through Visual Interactive System.

Mosiur Rahman, Md. Rafiqul Islam, Sharmin Akter, Shanjita Akter, Linta Islam, Guandong Xu

Hum. Centric Intell. Syst., 2021

Human-Centric Intelligent Systems: A Welcome Note from Editor(s)-in-Chief.

Tianrui Li, Guandong Xu

Hum. Centric Intell. Syst., 2021

Deep Visual Analytics (DVA): Applications, Challenges and Future Directions.

Md. Rafiqul Islam, Shanjita Akter, Md Rakybuzzaman Ratan, Abu Raihan M. Kamal, Guandong Xu

Hum. Centric Intell. Syst., 2021

DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media.

Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu

CoRR, 2021

Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems.

Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu

CoRR, 2021

Be Causal: De-biasing Social Network Confounding in Recommendation.

Qian Li, Xiangmeng Wang, Guandong Xu

CoRR, 2021

Prototype-based Counterfactual Explanation for Causal Classification.

Tri Dung Duong, Qian Li, Guandong Xu

CoRR, 2021

Hyperbolic Neural Collaborative Recommender.

Anchen Li, Bo Yang, Hongxu Chen, Guandong Xu

CoRR, 2021

Time-aware sequence model for next-item recommendation.

Dongjing Wang, Dengwei Xu, Dongjin Yu, Guandong Xu

Appl. Intell., 2021

Temporal Meta-path Guided Explainable Recommendation.

Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin

Proceedings of the WSDM '21, 2021

Expert Recommendations with Temporal Dynamics of User Interest in CQA.

Xiaoqi Lv, Ke Ji, Zhenxiang Chen, Kun Ma, Jun Wu, Yidong Li, Guandong Xu

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

HACK: A Hierarchical Model for Fake News Detection.

Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li, Guandong Xu

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

DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media.

Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers.

Yao Wu, Jian Cao, Guandong Xu, Yudong Tan

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

C²-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction.

Yu Chu, Lin Li, Qing Xie, Guandong Xu

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

Where are we in embedding spaces?

Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

ExTraVis: Exploration of Traffic Incidents Using a Visual Interactive System.

Joshua Zerafa, Md. Rafiqul Islam, Muhammad Ashad Kabir, Guandong Xu

Proceedings of the 25th International Conference Information Visualisation, 2021

UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System.

Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu

Proceedings of the International Joint Conference on Neural Networks, 2021

Stochastic Intervention for Causal Effect Estimation.

Tri Dung Duong, Qian Li, Guandong Xu

Proceedings of the International Joint Conference on Neural Networks, 2021

Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation.

Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu

Proceedings of the IEEE International Conference on Data Mining, 2021

Hilbert Sinkhorn Divergence for Optimal Transport.

Qian Li, Zhichao Wang, Gang Li, Jun Pang, Guandong Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Causal-Aware Generative Imputation for Automated Underwriting.

Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories.

Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Click-Through Rate Prediction with Multi-Modal Hypergraphs.

Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Hyperbolic Hypergraphs for Sequential Recommendation.

Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

ExVis: Explainable Visual Decision Support System for Risk Management.

Md. Rafiqul Islam, Jiaming Zhang, Md. Hamjajul Ashmafee, Imran Razzak, Jianlong Zhou, Xianzhi Wang, Guandong Xu

Proceedings of the 8th International Conference on Behavioral and Social Computing, 2021

2020

Generative temporal link prediction via self-tokenized sequence modeling.

Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu

World Wide Web, 2020

A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services.

Zongda Wu, Ruiqin Wang, Qi Li, Xinze Lian, Guandong Xu, Enhong Chen, Xiyang Liu

IEEE Trans. Veh. Technol., 2020

Deep learning for misinformation detection on online social networks: a survey and new perspectives.

Md. Rafiqul Islam, Shaowu Liu, Xianzhi Wang, Guandong Xu

Soc. Netw. Anal. Min., 2020

Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection.

Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu

Neural Networks, 2020

Big data analytics for preventive medicine.

Muhammad Imran Razzak, Muhammad Imran, Guandong Xu

Neural Comput. Appl., 2020

Refining Parkinson's neurological disorder identification through deep transfer learning.

Amina Naseer, Monail Rani, Saeeda Naz, Muhammad Imran Razzak, Muhammad Imran, Guandong Xu

Neural Comput. Appl., 2020

Learning with privileged information for photo aesthetic assessment.

Yangyang Shu, Qian Li, Shaowu Liu, Guandong Xu

Neurocomputing, 2020

Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data.

Imran Razzak, Khurram Zafar, Muhammad Imran, Guandong Xu

Future Gener. Comput. Syst., 2020

NaturalCC: A Toolkit to Naturalize the Source Code Corpus.

Yao Wan, Yang He, Jianguo Zhang, Yulei Sui, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu

CoRR, 2020

Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media.

Hamad Zogan, Xianzhi Wang, Shoaib Jameel, Guandong Xu

CoRR, 2020

Causality Learning: A New Perspective for Interpretable Machine Learning.

Guandong Xu, Tri Dung Duong, Qian Li, Shaowu Liu, Xianzhi Wang

CoRR, 2020

TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search.

Wenhua Wang, Yuqun Zhang, Zhengran Zeng, Guandong Xu

CoRR, 2020

Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter.

Rhys Biddle, Aditya Joshi, Shaowu Liu, Cécile Paris, Guandong Xu

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Joint Relational Dependency Learning for Sequential Recommendation.

Xiangmeng Wang, Qian Li, Wu Zhang, Guandong Xu, Shaowu Liu, Wenhao Zhu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint.

Yao Wu, Jian Cao, Guandong Xu

Proceedings of the Service-Oriented Computing - 18th International Conference, 2020

Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning.

Yangyang Shu, Yulei Sui, Hongyu Zhang, Guandong Xu

Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

Electricity Price Forecasting using Convolution and LSTM Models.

Dhruv Aditya Mittal, Shaowu Liu, Guandong Xu

Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry.

Md. Rafiqul Islam, Shaowu Liu, Imran Razzak, Muhammad Ashad Kabir, Xianzhi Wang, Peter Tilocca, Guandong Xu

Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

2019

Time-aware metric embedding with asymmetric projection for successive POI recommendation.

Haochao Ying, Jian Wu, Guandong Xu, Yanchi Liu, Tingting Liang, Xiao Zhang, Hui Xiong

World Wide Web, 2019

A general framework for learning prosodic-enhanced representation of rap lyrics.

Hongru Liang, Haozheng Wang, Qian Li, Jun Wang, Guandong Xu, Jiawei Chen, Jin-Mao Wei, Zhenglu Yang

World Wide Web, 2019

SMS: A Framework for Service Discovery by Incorporating Social Media Information.

Tingting Liang, Liang Chen, Jian Wu, Guandong Xu, Zhaohui Wu

IEEE Trans. Serv. Comput., 2019

Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data.

Xiaofeng Cao, Baozhi Qiu, Xiangli Li, Zenglin Shi, Guandong Xu, Jianliang Xu

IEEE Trans. Neural Networks Learn. Syst., 2019

Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks.

Muhammad Imran Razzak, Muhammad Imran, Guandong Xu

IEEE J. Biomed. Health Informatics, 2019

BorderShift: toward optimal MeanShift vector for cluster boundary detection in high-dimensional data.

Xiaofeng Cao, Baozhi Qiu, Guandong Xu

Pattern Anal. Appl., 2019

Constrained nonnegative matrix factorization-based semi-supervised multilabel learning.

Dingguo Yu, Bin Fu, Guandong Xu, Aihong Qin

Int. J. Mach. Learn. Cybern., 2019

What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter.

Zafar Saeed, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Abida Sadaf, Imran Razzak, Ali Daud, Naif Radi Aljohani, Guandong Xu

J. Grid Comput., 2019

Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks.

Zafar Saeed, Rabeeh Ayaz Abbasi, Imran Razzak, Onaiza Maqbool, Abida Sadaf, Guandong Xu

Expert Syst. Appl., 2019

Deep learning for decision making and the optimization of socially responsible investments and portfolio.

Nhi N. Y. Vo, Xuezhong He, Shaowu Liu, Guandong Xu

Decis. Support Syst., 2019

Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation.

Peipei Wang, Lin Li, Yi Yu, Guandong Xu

CoRR, 2019

Event Detection in Twitter Stream using Weighted Dynamic Heartbeat Graph Approach.

Zafar Saeed, Rabeeh Ayaz Abbasi, Muhammad Imran Razzak, Guandong Xu

CoRR, 2019

Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes].

Zafar Saeed, Rabeeh Ayaz Abbasi, Muhammad Imran Razzak, Guandong Xu

IEEE Comput. Intell. Mag., 2019

Emotion Recognition from Music Enhanced by Domain Knowledge.

Yangyang Shu, Guandong Xu

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Multi-modal Attention Network Learning for Semantic Source Code Retrieval.

Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, Philip S. Yu

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

A Boundary-aware Neural Model for Nested Named Entity Recognition.

Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, Guandong Xu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Polynomial Representation for Persistence Diagram.

Zhichao Wang, Qian Li, Gang Li, Guandong Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Electricity Price Forecast using Meteorology data: A study in Australian Energy Market.

Ming Zhao, Yangyang Shu, Shaowu Liu, Guandong Xu

Proceedings of the 6th International Conference on Behavioral, 2019

Prediction and Analysis of Rumour's Impact on Social Media.

Jun Yin, Shaowu Liu, Qian Li, Guandong Xu

Proceedings of the 6th International Conference on Behavioral, 2019

On Completing Sparse Knowledge Base with Transitive Relation Embedding.

Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Models for Community Dynamics.

Guandong Xu, Zhiang Wu, Jie Cao, Haicheng Tao

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Singular Value Decomposition.

Yanchun Zhang, Guandong Xu

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

An effective approach for the protection of privacy text data in the CloudDB.

Zongda Wu, Guandong Xu, Chenglang Lu, Enhong Chen, Fang Jiang, Guiling Li

World Wide Web, 2018

Learning to embed music and metadata for context-aware music recommendation.

Dongjing Wang, Shuiguang Deng, Xin Zhang, Guandong Xu

World Wide Web, 2018

SCSMiner: mining social coding sites for software developer recommendation with relevance propagation.

Yao Wan, Liang Chen, Guandong Xu, Zhou Zhao, Jie Tang, Jian Wu

World Wide Web, 2018

An enhanced short text categorization model with deep abundant representation.

Yanhui Gu, Min Gu, Yi Long, Guandong Xu, Zhenglu Yang, Junsheng Zhou, Weiguang Qu

World Wide Web, 2018

Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation.

Zongda Wu, Guiling Li, Qi Liu, Guandong Xu, Enhong Chen

IEEE Trans. Serv. Comput., 2018

Fuzzy Cognitive Diagnosis for Modelling Examinee Performance.

Qi Liu, Run-ze Wu, Enhong Chen, Guandong Xu, Yu Su, Zhigang Chen, Guoping Hu

ACM Trans. Intell. Syst. Technol., 2018

An Approach for Generation of SPARQL Query from SQL Algebra based Transformation Rules of RDB to Ontology.

Mohamed A. G. Hazber, Bing Li, Guandong Xu, Mohammed A. S. Mosleh, Xiwu Gu, Yuhua Li

J. Softw., 2018

Sequence-based context-aware music recommendation.

Dongjing Wang, Shuiguang Deng, Guandong Xu

Inf. Retr. J., 2018

Exploiting cross-source knowledge for warming up community question answering services.

Yao Wan, Guandong Xu, Liang Chen, Zhou Zhao, Jian Wu

Neurocomputing, 2018

GIST: A generative model with individual and subgroup-based topics for group recommendation.

Ke Ji, Zhenxiang Chen, Runyuan Sun, Kun Ma, Zhongjie Yuan, Guandong Xu

Expert Syst. Appl., 2018

An approach for the protection of users' book browsing preference privacy in a digital library.

Zongda Wu, Chengren Zheng, Jian Xiejian, Zhifeng Zhou, Guandong Xu, Enhong Chen

Electron. Libr., 2018

An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering.

Hongzhi Zhang, Guandong Xu, Xiao Liang, Tinglei Huang, Kun Fu

CoRR, 2018

An Attention-Based Word-Level Interaction Model for Knowledge Base Relation Detection.

Hongzhi Zhang, Guandong Xu, Xiao Liang, Guangluan Xu, Feng Li, Kun Fu, Lei Wang, Tinglei Huang

IEEE Access, 2018

An Effective Joint Framework for Document Summarization.

Min Gui, Zhengkun Zhang, Zhenglu Yang, Yanhui Gu, Guandong Xu

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Knowledge-Based Recommendation with Hierarchical Collaborative Embedding.

Zili Zhou, Shaowu Liu, Guandong Xu, Xing Xie, Jun Yin, Yidong Li, Wu Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Social Spammer Detection: A Multi-Relational Embedding Approach.

Jun Yin, Zili Zhou, Shaowu Liu, Zhiang Wu, Guandong Xu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Multimodal Mixture Density Boosting Network for Personality Mining.

Nhi N. Y. Vo, Shaowu Liu, Xuezhong He, Guandong Xu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter.

Zafar Saeed, Rabeeh Ayaz Abbasi, Abida Sadaf, Muhammad Imran Razzak, Guandong Xu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Improving automatic source code summarization via deep reinforcement learning.

Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Workshop Proposal on Knowledge Discovery from Digital Libraries.

Hui Shi, Wu He, Guandong Xu

Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA.

Muhammad Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Multiple Source based Transfer Learning Framework for Marketing Campaigns.

James Brownlow, Charles Chu, Guandong Xu, Ben Culbert, Bin Fu, Qinxue Meng

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Sequential Recommender System based on Hierarchical Attention Networks.

Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Client Churn Prediction with Call Log Analysis.

Nhi N. Y. Vo, Shaowu Liu, James Brownlow, Charles Chu, Ben Culbert, Guandong Xu

Proceedings of the Database Systems for Advanced Applications, 2018

Cost-Sensitive Churn Prediction in Fund Management Services.

James Brownlow, Charles Chu, Bin Fu, Guandong Xu, Ben Culbert, Qinxue Meng

Proceedings of the Database Systems for Advanced Applications, 2018

Taxpayer Behavior Prediction in SMS Campaigns.

Guiming Cao, Alan Downes, Shuraia Khan, Wendy Wong, Guandong Xu

Proceedings of the 5th International Conference on Behavioral, 2018

Research Performance Reporting is Fallacious.

Adam Butler, Guandong Xu, Katarzyna Musial

Proceedings of the 5th International Conference on Behavioral, 2018

Semi-Supervised Soft K-Means Clustering of Life Insurance Questionnaire Responses.

Rhys Biddle, Shaowu Liu, Guandong Xu

Proceedings of the 5th International Conference on Behavioral, 2018

Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach.

Ben Culbert, Bin Fu, James Brownlow, Charles Chu, Qinxue Meng, Guandong Xu

Proceedings of the Databases Theory and Applications, 2018

Automated Underwriting in Life Insurance: Predictions and Optimisation.

Rhys Biddle, Shaowu Liu, Peter Tilocca, Guandong Xu

Proceedings of the Databases Theory and Applications, 2018

2017

Improving the Quality of Recommendations for Users and Items in the Tail of Distribution.

Liang Hu, Longbing Cao, Jian Cao, Zhiping Gu, Guandong Xu, Jie Wang

ACM Trans. Inf. Syst., 2017

On Deep Learning for Trust-Aware Recommendations in Social Networks.

ShuiGuang Deng, Longtao Huang, Guandong Xu, Xindong Wu, Zhaohui Wu

IEEE Trans. Neural Networks Learn. Syst., 2017

An efficient Wikipedia semantic matching approach to text document classification.

Zongda Wu, Hui Zhu, Guiling Li, Zongmin Cui, Hui Huang, Jun Li, Enhong Chen, Guandong Xu

Inf. Sci., 2017

A topic modeling based approach to novel document automatic summarization.

Zongda Wu, Li Lei, Guiling Li, Hui Huang, Chengren Zheng, Enhong Chen, Guandong Xu

Expert Syst. Appl., 2017

Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response.

Run-ze Wu, Guandong Xu, Enhong Chen, Qi Liu, Wan Ng

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

An Enhanced Convolutional Neural Network Model for Answer Selection.

Jiahui Guo, Bin Yue, Guandong Xu, Zhenglu Yang, Jin-Mao Wei

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Exploiting Geographical Location for Team Formation in Social Coding Sites.

Yuqiang Han, Yao Wan, Liang Chen, Guandong Xu, Jian Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

What comes first the Co-authorship Network or the Citation?

Adam Butler, Guandong Xu, Xuezhong He

Proceedings of the 4th Multidisciplinary International Social Networks Conference, 2017

Collaborative Filtering via Different Preference Structures.

Shaowu Liu, Na Pang, Guandong Xu, Huan Liu

Proceedings of the Knowledge Science, Engineering and Management, 2017

Structure embedding for knowledge base completion and analytics.

Zili Zhou, Guandong Xu, Wenhao Zhu, Jinyan Li, Wu Zhang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Music recommendation via heterogeneous information graph embedding.

Dongjing Wang, Guandong Xu, ShuiGuang Deng

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Diversifying Personalized Recommendation with User-session Context.

Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Co-training an Improved Recurrent Neural Network with Probability Statistic Models for Named Entity Recognition.

Yueqing Sun, Lin Li, Zhongwei Xie, Qing Xie, Xin Li, Guandong Xu

Proceedings of the Database Systems for Advanced Applications, 2017

Latent factor analysis for low-dimensional implicit preference prediction.

Zili Zhou, Guandong Xu, Xiao Zhu, Shaowu Liu

Proceedings of the 2017 International Conference on Behavioral, 2017

The volatility of Bitcoin returns and its correlation to financial markets.

Nhi N. Y. Vo, Guandong Xu

Proceedings of the 2017 International Conference on Behavioral, 2017

Towards simplified insurance application via sparse questionnaire optimization.

Shaowu Liu, Guandong Xu, Xiao Zhu, Zili Zhou

Proceedings of the 2017 International Conference on Behavioral, 2017

Combining heterogeneous features for time series prediction.

Charles Chu, James Brownlow, Qinxue Meng, Bin Fu, Ben Culbert, Min Zhu, Guandong Xu, Xuezhong He

Proceedings of the 2017 International Conference on Behavioral, 2017

2016

Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains.

Liang Hu, Longbing Cao, Jian Cao, Zhiping Gu, Guandong Xu, Dingyu Yang

ACM Trans. Inf. Syst., 2016

Private Cell Retrieval From Data Warehouses.

Xun Yi, Russell Paulet, Elisa Bertino, Guandong Xu

IEEE Trans. Inf. Forensics Secur., 2016

Social media analytics: unveiling the value, impact and implications of social media analytics for the management and use of online information.

Wu He, Guandong Xu

Online Inf. Rev., 2016

Two-level matrix factorization for recommender systems.

Fangfang Li, Guandong Xu, Longbing Cao

Neural Comput. Appl., 2016

A weighted adaptation method on learning user preference profile.

Zhiyuan Zhang, Yun Liu, Guandong Xu, Haiqiang Chen

Knowl. Based Syst., 2016

Recommendation using DMF-based fine tuning method.

Zhiyuan Zhang, Yun Liu, Guandong Xu, Gui Xun Luo

J. Intell. Inf. Syst., 2016

Protecting private geosocial networks against practical hybrid attacks with heterogeneous information.

Yuechuan Li, Yidong Li, Guandong Xu

Neurocomputing, 2016

Point-of-Interest Recommendations via a Supervised Random Walk Algorithm.

Guandong Xu, Bin Fu, Yanhui Gu

IEEE Intell. Syst., 2016

Improving Music Recommendation Using Distributed Representation.

Dongjing Wang, ShuiGuang Deng, Songguo Liu, Guandong Xu

Proceedings of the 25th International Conference on World Wide Web, 2016

Predicting Replacement of Smartphones with Mobile App Usage.

Dun Yang, Zhiang Wu, Xiaopeng Wang, Jie Cao, Guandong Xu

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

GEMRec: A Graph-Based Emotion-Aware Music Recommendation Approach.

Dongjing Wang, ShuiGuang Deng, Guandong Xu

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Learning Music Embedding with Metadata for Context Aware Recommendation.

Dongjing Wang, ShuiGuang Deng, Xin Zhang, Guandong Xu

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation.

Hao Guo, Xin Li, Ming He, Xiangyu Zhao, Guiquan Liu, Guandong Xu

Proceedings of the Knowledge Science, Engineering and Management, 2016

An Approach for Automatically Generating R2RML-Based Direct Mapping from Relational Databases.

Mohamed A. G. Hazber, Ruixuan Li, Guandong Xu, Khaled M. Alalayah

Proceedings of the Social Computing, 2016

Applying Visual Analytics on Traditional Data Mining Process: Quick Prototype, Simple Expertise Transformation, and Better Interpretation.

Xiao Zhu, Guandong Xu

Proceedings of the 4th International Conference on Enterprise Systems, 2016

Applying client churn prediction modeling on home-based care services industry.

Raul Manongdo, Guandong Xu

Proceedings of the 2016 International Conference on Behavioral, 2016

Coupled behavioral analysis for user preference-based email spamming.

Frank Jiang, Jin Gan, Yuanyuan Xu, Guandong Xu

Proceedings of the 2016 International Conference on Behavioral, 2016

Deployment of churn prediction model in financial services industry.

Charles Chu, Guandong Xu, James Brownlow, Bin Fu

Proceedings of the 2016 International Conference on Behavioral, 2016

Classifying sybil in MSNs using C4.5.

Anand Chinchore, Guandong Xu, Frank Jiang

Proceedings of the 2016 International Conference on Behavioral, 2016

2015

Guest Editorial: Advanced Technologies and Services for Multimedia Big Data Processing.

Young-Sik Jeong, Mei-Ling Shyu, Guandong Xu, Roland R. Wagner

Multim. Tools Appl., 2015

Improving contextual advertising matching by using Wikipedia thesaurus knowledge.

Guandong Xu, Zongda Wu, Guiling Li, Enhong Chen

Knowl. Inf. Syst., 2015

KIPTC: a kernel information propagation tag clustering algorithm.

Guandong Xu, Yu Zong, Ping Jin, Rong Pan, Zongda Wu

J. Intell. Inf. Syst., 2015

Constructing plausible innocuous pseudo queries to protect user query intention.

Zongda Wu, Jie Shi, Chenglang Lu, Enhong Chen, Guandong Xu, Guiling Li, Sihong Xie, Philip S. Yu

Inf. Sci., 2015

Social networking meets recommender systems: survey.

Guandong Xu, Zhiang Wu, Yanchun Zhang, Jie Cao

Int. J. Soc. Netw. Min., 2015

Learning recency based comparative choice towards point-of-interest recommendation.

Xin Li, Guandong Xu, Enhong Chen, Yu Zong

Expert Syst. Appl., 2015

Exploring user emotion in microblogs for music recommendation.

ShuiGuang Deng, Dongjing Wang, Xitong Li, Guandong Xu

Expert Syst. Appl., 2015

Coupling Analysis Between Twitter and Call Centre.

Fangfang Li, Yanchang Zhao, Klaus Felsche, Guandong Xu, Longbing Cao

CoRR, 2015

CSAL: Self-adaptive Labeling based Clustering Integrating Supervised Learning on Unlabeled Data.

Fangfang Li, Guandong Xu, Longbing Cao

CoRR, 2015

Semantic SPARQL Query in a Relational Database Based on Ontology Construction.

Mohamed A. G. Hazber, Ruixuan Li, Xiwu Gu, Guandong Xu, Yuhua Li

Proceedings of the 11th International Conference on Semantics, Knowledge and Grids, 2015

Coupled Matrix Factorization Within Non-IID Context.

Fangfang Li, Guandong Xu, Longbing Cao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Coupling Multiple Views of Relations for Recommendation.

Bin Fu, Guandong Xu, Longbing Cao, Zhihai Wang, Zhiang Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Hashtag Biased Ranking for Keyword Extraction from Microblog Posts.

Lin Li, Chang Su, Yueqing Sun, Shengwu Xiong, Guandong Xu

Proceedings of the Knowledge Science, Engineering and Management, 2015

Intelligent Sybil Attack Detection on Abnormal Connectivity Behavior in Mobile Social Networks.

Anand Chinchore, Frank Jiang, Guandong Xu

Proceedings of the Knowledge Management in Organizations - 10th International Conference, 2015

OLAP-enabled web search of complex objects.

Alfredo Cuzzocrea, Guandong Xu, Giorgio Mario Grasso

Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services, 2015

Learning User Preferences across Multiple Aspects for Merchant Recommendation.

Xin Li, Guandong Xu, Enhong Chen, Lin Li

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

MARS: A multi-aspect Recommender system for Point-of-Interest.

Xin Li, Guandong Xu, Enhong Chen, Lin Li

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Cloud-Based OLAP over Big Data: Application Scenarios and Performance Analysis.

Alfredo Cuzzocrea, Rim Moussa, Guandong Xu, Giorgio Mario Grasso

Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

Learning to rank domain experts in microblogging by combining text and non-text features.

Lu Qi, Yanyi Huang, Lin Li, Guandong Xu

Proceedings of the 2015 International Conference on Behavioral, 2015

An analysis of new visitors' website behaviour before & after TV advertising.

Kyrylo Medvediev, Guandong Xu, Shlomo Berkovsky, Yury Onikienko

Proceedings of the 2015 International Conference on Behavioral, 2015

An Approach for Mapping Relational Database into Ontology.

Mohamed A. G. Hazber, Ruixuan Li, Yuxi Zhang, Guandong Xu

Proceedings of the 12th Web Information System and Application Conference, 2015

2014

Models for Community Dynamics.

Guandong Xu, Zhiang Wu, Jie Cao, Haicheng Tao

Encyclopedia of Social Network Analysis and Mining, 2014

Exploration on efficient similar sentences extraction.

Yanhui Gu, Zhenglu Yang, Guandong Xu, Miyuki Nakano, Masashi Toyoda, Masaru Kitsuregawa

World Wide Web, 2014

Multi-label learning based on iterative label propagation over graph.

Bin Fu, Zhihai Wang, Guandong Xu, Longbing Cao

Pattern Recognit. Lett., 2014

Expanding user's query with tag-neighbors for effective medical information retrieval.

Frederico Araújo Durão, Karunakar Bayyapu, Guandong Xu, Peter Dolog, Ricardo Lage

Multim. Tools Appl., 2014

Social cyber systems - Challenges, opportunities, and beyond.

Nitin Agarwal, Aoying Zhou, Guandong Xu

J. Syst. Softw., 2014

Online IS Education for the 21st Century.

Wu He, Guandong Xu, S. E. Kruck

J. Inf. Syst. Educ., 2014

Behavior Informatics: A New Perspective.

Longbing Cao, Thorsten Joachims, Can Wang, Éric Gaussier, Jinjiu Li, Yuming Ou, Dan Luo, Reza Zafarani, Huan Liu, Guandong Xu, Zhiang Wu, Gabriella Pasi, Ya Zhang, Xiaokang Yang, Hongyuan Zha, Edoardo Serra, V. S. Subrahmanian

IEEE Intell. Syst., 2014

Social network-based service recommendation with trust enhancement.

ShuiGuang Deng, Longtao Huang, Guandong Xu

Expert Syst. Appl., 2014

CMF: Coupled Matrix Factorization for Recommender Systems.

Fangfang Li, Guandong Xu, Longbing Cao, Xiaozhong Fan, Zhendong Niu

CoRR, 2014

Special Issue on Social Computing and its Applications.

Guandong Xu, Aoying Zhou, Nitin Agarwal

Comput. J., 2014

Coupled Item-Based Matrix Factorization.

Fangfang Li, Guandong Xu, Longbing Cao

Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

A Novel Heuristic Scheme for Modeling and Managing Time Bound Constraints in Data-Intensive Grid and Cloud Infrastructures.

Alfredo Cuzzocrea, Guandong Xu

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Workshops, 2014

Mining user tasks from print logs.

Xin Li, Lei Zhang, Ping Luo, Enhong Chen, Guandong Xu, Yu Zong, Chu Guan

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval.

Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Jianhui Li, Yuanchun Zhou, Hui Xiong

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages.

Liang Hu, Wei Cao, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Towards a Framework for Supporting Web Search of Complex Objects via Multidimensional Paradigms.

Alfredo Cuzzocrea, Guandong Xu

Proceedings of the 2014 14th International Conference on Computational Science and Its Applications, Guimaraes, Portugal, June 30, 2014

A confidence-based entity resolution approach with incomplete information.

Qi Gu, Yan Zhang, Jian Cao, Guandong Xu, Alfredo Cuzzocrea

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

The Application of Cartesian-Join of Bloom Filters to Supporting Membership Query of Multidimensional Data.

Zhu Wang, Tiejian Luo, Guandong Xu, Xiang Wang

Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

A backbone extraction method with Local Search for complex weighted networks.

Zhan Bu, Zhiang Wu, Liqiang Qian, Jie Cao, Guandong Xu

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

Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach.

Nian Liu, Lin Li, Guandong Xu, Zhenglu Yang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Deep Modeling of Group Preferences for Group-Based Recommendation.

Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Wei Cao

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Medical Information Retrieval Enhanced with User's Query Expanded with Tag-Neighbors.

Frederico Araújo Durão, Karunakar Bayyapu, Guandong Xu, Peter Dolog, Ricardo Lage

Proceedings of the Handbook of Medical and Healthcare Technologies, 2013

Guest editorial: social networks and social Web mining.

Guandong Xu, Jeffrey Xu Yu, Wookey Lee

World Wide Web, 2013

An efficient approach to suggesting topically related web queries using hidden topic model.

Lin Li, Guandong Xu, Zhenglu Yang, Peter Dolog, Yanchun Zhang, Masaru Kitsuregawa

World Wide Web, 2013

Position-wise contextual advertising: Placing relevant ads at appropriate positions of a web page.

Zongda Wu, Guandong Xu, Chenglang Lu, Enhong Chen, Yanchun Zhang, Hong Zhang

Neurocomputing, 2013

Personalized recommendation via cross-domain triadic factorization.

Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Can Zhu

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

Community Detection in Multi-relational Social Networks.

Zhiang Wu, Wenpeng Yin, Jie Cao, Guandong Xu, Alfredo Cuzzocrea

Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

CGMF: Coupled Group-Based Matrix Factorization for Recommender System.

Fangfang Li, Guandong Xu, Longbing Cao, Xiaozhong Fan, Zhendong Niu

Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

A New Indexing Technique for Supporting By-attribute Membership Query of Multidimensional Data.

Zhu Wang, Tiejian Luo, Guandong Xu, Xiang Wang

Proceedings of the Web-Age Information Management, 2013

Private data warehouse queries.

Xun Yi, Russell Paulet, Elisa Bertino, Guandong Xu

Proceedings of the 18th ACM Symposium on Access Control Models and Technologies, 2013

Suggestions for Fresh Search Queries by Mining Mircoblog Topics.

Lin Li, Xing Chen, Guandong Xu

Proceedings of the Behavior and Social Computing, 2013

OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data.

Alfredo Cuzzocrea, Rim Moussa, Guandong Xu

Proceedings of the Model and Data Engineering - Third International Conference, 2013

Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis.

Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Gu, Longbing Cao

Proceedings of the IJCAI 2013, 2013

Leveraging Supervised Label Dependency Propagation for Multi-label Learning.

Bin Fu, Guandong Xu, Zhihai Wang, Longbing Cao

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers.

Liang Wu, Alvin Chin, Guandong Xu, Liang Du, Xia Wang, Kangjian Meng, Yonggang Guo, Yuanchun Zhou

Proceedings of the Database Systems for Advanced Applications, 2013

Leveraging Visual Features and Hierarchical Dependencies for Conference Information Extraction.

Yue You, Guandong Xu, Jian Cao, Yanchun Zhang, Guangyan Huang

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

A Spectral Clustering Algorithm Based on Hierarchical Method.

Xiwei Chen, Li Liu, Dashi Luo, Guandong Xu, Yonggang Lu, Ming Liu, Rongmin Gao

Proceedings of the Agents and Data Mining Interaction - 9th International Workshop, 2013

Mining Frequent Patterns in Print Logs with Semantically Alternative Labels.

Xin Li, Lei Zhang, Enhong Chen, Yu Zong, Guandong Xu

Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012

Executing SQL queries over encrypted character strings in the Database-As-Service model.

Zongda Wu, Guandong Xu, Yu Zong, Xun Yi, Enhong Chen, Yanchun Zhang

Knowl. Based Syst., 2012

GMQL: A graphical multimedia query language.

Zongda Wu, Guandong Xu, Yanchun Zhang, Zhongsheng Cao, Guiling Li, Zhiwen Hu

Knowl. Based Syst., 2012

A feature-free search query classification approach using semantic distance.

Lin Li, Luo Zhong, Guandong Xu, Masaru Kitsuregawa

Expert Syst. Appl., 2012

An Improved Contextual Advertising Matching Approach based on Wikipedia Knowledge.

Zongda Wu, Guandong Xu, Yanchun Zhang, Peter Dolog, Chenglang Lu

Comput. J., 2012

Preemptive Hadoop Jobs Scheduling under a Deadline.

Li Liu, Yuan Zhou, Ming Liu, Guandong Xu, Xiwei Chen, Dangping Fan, Qianru Wang

Proceedings of the Eighth International Conference on Semantics, Knowledge and Grids, 2012

Learning Tree Structure of Label Dependency for Multi-label Learning.

Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu, Peter Dolog

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

An Integrated Pruning Criterion for Ensemble Learning Based on Classification Accuracy and Diversity.

Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu, Peter Dolog

Proceedings of the 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing, 2012

Latent Informative Links Detection.

Liang Hu, Jian Cao, Guandong Xu, Zhiping Gu

Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

A projective clustering algorithm based on significant local dense areas.

Yu Zong, Guandong Xu, Ping Jin, Xun Yi, Enhong Chen, Zongda Wu

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

On Smart and Accurate Contextual Advertising.

Guandong Xu, Zongda Wu

Proceedings of the Database Systems for Advanced Applications, 2012

Finding Related Micro-blogs Based on WordNet.

Lin Li, Huifan Xiao, Guandong Xu

Proceedings of the Database Systems for Advanced Applications, 2012

Academic Recommendation on Graph with Dynamic Transfer Chain.

Jia Zhou, Tiejian Luo, Guandong Xu

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

Book Recommendation Based on Joint Multi-relational Model.

Qiuzi Shangguan, Liang Hu, Jian Cao, Guandong Xu

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

Group Division for Recommendation in Tag-Based Systems.

Rong Pan, Guandong Xu, Peter Dolog, Yu Zong

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

KNN-Based Clustering for Improving Social Recommender Systems.

Rong Pan, Peter Dolog, Guandong Xu

Proceedings of the Agents and Data Mining Interaction - 8th International Workshop, 2012

A MapReduce-Based Parallel Clustering Algorithm for Large Protein-Protein Interaction Networks.

Li Liu, Dangping Fan, Ming Liu, Guandong Xu, Shiping Chen, Yuan Zhou, Xiwei Chen, Qianru Wang, Yufeng Wei

Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

Recommending Related Microblogs: A Comparison Between Topic and WordNet based Approaches.

Xing Chen, Lin Li, Guandong Xu, Zhenglu Yang, Masaru Kitsuregawa

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Modeling user hidden navigational behavior for Web recommendation.

Guandong Xu, Lin Li, Yanchun Zhang, Xun Yi, Masaru Kitsuregawa

Web Intell. Agent Syst., 2011

Random walk based rank aggregation to improving web search.

Lin Li, Guandong Xu, Yanchun Zhang, Masaru Kitsuregawa

Knowl. Based Syst., 2011

HC_AB: A new heuristic clustering algorithm based on Approximate Backbone.

Yu Zong, Guandong Xu, Ping Jin, Yanchun Zhang, Enhong Chen

Inf. Process. Lett., 2011

TOAST: A Topic-Oriented Tag-Based Recommender System.

Guandong Xu, Yanhui Gu, Yanchun Zhang, Zhenglu Yang, Masaru Kitsuregawa

Proceedings of the Web Information System Engineering - WISE 2011, 2011

A Feature-Free Flexible Approach to Topical Classification of Web Queries.

Lin Li, Guandong Xu, Zhenglu Yang, Yanchun Zhang, Masaru Kitsuregawa

Proceedings of the Seventh International Conference on Semantics Knowledge and Grid (SKG 2011), 2011

On Kernel Information Propagation for Tag Clustering in Social Annotation Systems.

Guandong Xu, Yu Zong, Rong Pan, Peter Dolog, Ping Jin

Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

A Local Information Passing Clustering Algorithm for Tagging Systems.

Yu Zong, Guandong Xu, Ping Jin, Peter Dolog, Shan Jiang

Proceedings of the Database Systems for Adanced Applications, 2011

Leveraging Wikipedia concept and category information to enhance contextual advertising.

Zongda Wu, Guandong Xu, Rong Pan, Yanchun Zhang, Zhiwen Hu, Jianfeng Lu

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

APPECT: An Approximate Backbone-Based Clustering Algorithm for Tags.

Yu Zong, Guandong Xu, Ping Jin, Yanchun Zhang, Enhong Chen, Rong Pan

Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

SemRec: A Semantic Enhancement Framework for Tag Based Recommendation.

Guandong Xu, Yanhui Gu, Peter Dolog, Yanchun Zhang, Masaru Kitsuregawa

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

A robust iterative refinement clustering algorithm with smoothing search space.

Yu Zong, Guandong Xu, Yanchun Zhang, He Jiang, Mingchu Li

Knowl. Based Syst., 2010

Co-clustering for Weblogs in Semantic Space.

Yu Zong, Guandong Xu, Peter Dolog, Yanchun Zhang, Renjin Liu

Proceedings of the Web Information Systems Engineering - WISE 2010, 2010

A User Group Clustering Approach in Tagging Systems.

Rong Pan, Guandong Xu, Peter Dolog

Proceedings of the LWA 2010, 2010

Co-clustering Analysis of Weblogs Using Bipartite Spectral Projection Approach.

Guandong Xu, Yu Zong, Peter Dolog, Yanchun Zhang

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

SNSMW 2010 Workshop Organizers' Message.

Yoshinori Hijikata, Guandong Xu

Proceedings of the Database Systems for Advanced Applications, 2010

A framework of data integration, knowledge management and user behaviour modelling in healthcare applications of diabetes.

Yanchun Zhang, Guandong Xu, Liping Wang, Kerry Bennett

Proceedings of the Database Technologies 2010, 2010

2009

Singular Value Decomposition.

Yanchun Zhang, Guandong Xu

Proceedings of the Encyclopedia of Database Systems, 2009

Toward breast cancer survivability prediction models through improving training space.

Jaree Thongkam, Guandong Xu, Yanchun Zhang, Fuchun Huang

Expert Syst. Appl., 2009

On web communities mining and recommendation.

Yanchun Zhang, Guandong Xu

Concurr. Comput. Pract. Exp., 2009

Enhancing Web Search by Aggregating Results of Related Web Queries.

Lin Li, Guandong Xu, Yanchun Zhang, Masaru Kitsuregawa

Proceedings of the Web Information Systems Engineering, 2009

2008

Using Web Clustering for Web Communities Mining and Analysis.

Yanchun Zhang, Guandong Xu

Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

AdaBoost algorithm with random forests for predicting breast cancer survivability.

Jaree Thongkam, Guandong Xu, Yanchun Zhang

Proceedings of the International Joint Conference on Neural Networks, 2008

Modelling User Behaviour for Web Recommendation Using LDA Model.

Guandong Xu, Yanchun Zhang, Xun Yi

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Support Vector Machine for Outlier Detection in Breast Cancer Survivability Prediction.

Jaree Thongkam, Guandong Xu, Yanchun Zhang, Fuchun Huang

Proceedings of the Advanced Web and NetworkTechnologies, and Applications, 2008

2007

On Web Communities Mining and Analysis.

Yanchun Zhang, Guandong Xu

Proceedings of the Third International Conference on Semantics, 2007

2006

Tumor tissue identification based on gene expression data using DWT feature extraction and PNN classifier.

Guangmin Sun, Xiaoying Dong, Guandong Xu

Neurocomputing, 2006

Mining Gait Pattern for Clinical Locomotion Diagnosis Based on Clustering Techniques.

Guandong Xu, Yanchun Zhang, Rezaul K. Begg

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

Discovering task-oriented usage pattern for web recommendation.

Guandong Xu, Yanchun Zhang, Xiaofang Zhou

Proceedings of the Database Technologies 2006, 2006

2005

A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis.

Guandong Xu, Yanchun Zhang, Xiaofang Zhou

Proceedings of the Web Information Systems Engineering, 2005

Using Probabilistic Latent Semantic Analysis for Web Page Grouping.

Guandong Xu, Yanchun Zhang, Xiaofang Zhou

Proceedings of the 15th International Workshop on Research Issues in Data Engineering (RIDE-SDMA 2005), 2005

A DNA Based Evolutionary Algorithm for the Minimal Set Cover Problem.

Wenbin Liu, Xiangou Zhu, Guandong Xu, Qiang Zhang, Lin Gao

Proceedings of the Advances in Intelligent Computing, 2005

Towards User Profiling for Web Recommendation.

Guandong Xu, Yanchun Zhang, Xiaofang Zhou

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

A Latent Usage Approach for Clustering Web Transaction and Building User Profile.

Yanchun Zhang, Guandong Xu, Xiaofang Zhou

Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

Discovering User Access Pattern Based on Probabilistic Latent Factor Model.

Guandong Xu, Yanchun Zhang, Jiangang Ma, Xiaofang Zhou

Proceedings of the Database Technologies 2005, 2005

2004

DWT based feature extraction of gene expression data for tissue classification.

Xiaoying Dong, Guangmin Sun, Guandong Xu

Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004