Guandong Xu

573 papers A* 55A 19B 25C 17Misc 9Journal 301Unranked 128
YearRankTypeTitle / Venue / Authors
2026 J jnl
A framework based on edge computing and identity replacement for the protection of user information service privacy.
J. Cloud Comput.
Zongda Wu, Jian Xie, Huawen Liu, Huxiong Li, Guandong Xu, Gang Li
2026 — ed.
Behavioural and Social Computing - 12th International Conference, BESC 2025, Hong Kong SAR, China, October 16-18, 2025, Proceedings, Part I
BESC (1)
Tianyong Hao, Juan D. Velásquez, Qing Li, Bin Hu, Guandong Xu
2026 — ed.
Behavioural and Social Computing - 12th International Conference, BESC 2025, Hong Kong SAR, China, October 16-18, 2025, Proceedings, Part III
BESC (3)
Tianyong Hao, Juan D. Velásquez, Qing Li, Bin Hu, Guandong Xu
2026 J jnl
CASTLE: A Comprehensive Benchmark for Evaluating Student-Tailored Personalized Safety in Large Language Models.
CoRR
Rui Jia, Ruiyi Lan, Fengrui Liu, Zhongxiang Dai, Bo Jiang, Jing Shao, Jingyuan Chen, Guandong Xu, Fei Wu, Min Zhang
2026 J jnl
Cluster-SCP: Similarity and Contrastive Learning to Enhance Pseudo Labels for Fine Tuning under Few Labels.
World Wide Web (WWW)
Abdullah Alsuhaibani, Abdulrahman Abdullah Alalawi, Imran Razzak, Shoaib Jameel, Xianzhi Wang, Guandong Xu
2026 J jnl
CoCR-RAG: Enhancing Retrieval-Augmented Generation in Web Q&A via Concept-oriented Context Reconstruction.
CoRR
Kaize Shi, Xueyao Sun, Qika Lin, Firoj Alam, Qing Li, Xiaohui Tao, Guandong Xu
2026 J jnl
D2TCDR: Disentangled Diffusion-Based Transfer for Cross-Domain Recommendation.
ACM Trans. Inf. Syst.
Hong Zhou, Xixun Lin, Yanan Cao, Shichao Zhu, Renqi Jia, Xiangyu Zhao, Guandong Xu, Li Guo
2026 J jnl
Debiasing Sequential Recommendation with Time-aware Inverse Propensity Scoring.
CoRR
Sirui Huang, Jing Long, Qian Li, Guandong Xu, Qing Li
2026 J jnl
Democratic Recommendation With User and Item Representatives Produced by Graph Condensation.
IEEE Trans. Knowl. Data Eng.
Jiahao Liang, Haoran Yang, Xiangyu Zhao, Zhiwen Yu, Guandong Xu, Wanyu Wang, Kaixiang Yang
2026 J jnl
Dual-channel time-aware graph attention network for session-based recommendation.
Inf. Sci.
Linjiang Guo, Shiqing Wu, Dan Lu, Longxiang Gao, Guandong Xu
2026 A* conf
DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph.
WWW
Feng Zhao, Kangzheng Liu, Teng Peng, Yu Yang, Guandong Xu
2026 J jnl
DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph.
CoRR
Feng Zhao, Kangzheng Liu, Teng Peng, Yu Yang, Guandong Xu
2026 A* conf
FilterRec: An Intent-Aware Framework for Dynamic Filter Recommendation.
WWW
Dingxian Wang, Jiacheng Dong, Jiaqi Deng, Jing Long, Ted Liu, George Barelas, Arya Taylor, Spyros Kapnissis, Frank Yang, Andrew Rabinovich, Guandong Xu
2026 J jnl
Multi-Task Learning With LLMs for Implicit Sentiment Analysis: Data-Level and Task-Level Automatic Weight Learning.
IEEE Trans. Knowl. Data Eng.
Wenna Lai, Haoran Xie, Guandong Xu, Qing Li
2026 J jnl
Multi-modal dual attention graph contrastive learning for recommendation.
Knowl. Based Syst.
Shouxing Ma, Shiqing Wu, Yawen Zeng, Kaize Shi, Guandong Xu
2026 J jnl
Towards Comprehensive Stage-wise Benchmarking of Large Language Models in Fact-Checking.
CoRR
Hongzhan Lin, Zixin Chen, Zhiqi Shen, Ziyang Luo, Zhen Ye, Jing Ma, Tat-Seng Chua, Guandong Xu
2025 J jnl
A Causal-Based Attribute Selection Strategy for Conversational Recommender Systems.
IEEE Trans. Knowl. Data Eng.
Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu
2025 J jnl
A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning Task.
CoRR
Jiaqi Deng, Zonghan Wu, Huan Huo, Guandong Xu
2025 J jnl
A Lightweight Spatio-Temporal Neural Network With Sampling-Based Time Series Decomposition for Traffic Forecasting.
IEEE Trans. Intell. Transp. Syst.
Dongjing Wang, Gangming Guo, Tianpei Ouyang, Dongjin Yu, Haiping Zhang, Bao Li, Rong Jiang, Guandong Xu, Shuiguang Deng
2025 J jnl
A cross-domain knowledge tracing model based on graph optimal transport.
World Wide Web (WWW)
Zhengyang Wu, Yuqi Liu, Jianwei Cen, Zetao Zheng, Guandong Xu
2025 — conf
AgentLesson: LLM-Based Multi-agent System for Educational Lesson Plan Generation.
BESC (1)
Yakun Chen, Yu Yang, Guandong Xu
2025 J jnl
An Event-Centric Framework for Predicting Crime Hotspots With Flexible Time Intervals.
IEEE Trans. Knowl. Data Eng.
Jiahui Jin, Yi Hong, Guandong Xu, Jinghui Zhang, Jun Tang, Hancheng Wang
2025 J jnl
Breaking the Loop: Causal Learning to Mitigate Echo Chambers in Social Networks.
ACM Trans. Inf. Syst.
Dianer Yu, Qian Li, Huan Huo, Guandong Xu
2025 A* conf
CUGF: A Reliable and Fair Recommendation Framework.
AAAI
Nitin Bisht, Xiuwen Gong, Guandong Xu
2025 J jnl
Causal Time-aware News Recommendations with Large Language Models.
ACM Trans. Inf. Syst.
Sirui Huang, Qian Li, Haoran Yang, Dianer Yu, Qing Li, Guandong Xu
2025 J jnl
Causal Variational Inference for Deconfounded Multi-Behavior Recommendation.
ACM Trans. Inf. Syst.
Yuzhe Chen, Jie Cao, Youquan Wang, Jia Wu, Huanhuan Chen, Guandong Xu
2025 J jnl
Causal cascading convolution networks for multi-behavior sequential recommendation.
Inf. Sci.
Dan Lu, Shiqing Wu, Hao Zhang, Guandong Xu, Qilong Han
2025 J jnl
Cloud-Device Collaborative Agents for Sequential Recommendation.
CoRR
Jing Long, Sirui Huang, Huan Huo, Tong Chen, Hongzhi Yin, Guandong Xu
2025 J jnl
Concept than Document: Context Compression via AMR-based Conceptual Entropy.
CoRR
Kaize Shi, Xueyao Sun, Xiaohui Tao, Lin Li, Qika Lin, Guandong Xu
2025 A* conf
Conformal Prediction for Partial Label Learning.
AAAI
Xiuwen Gong, Nitin Bisht, Guandong Xu
2025 J jnl
Contrastive Modality-Disentangled Learning for Multimodal Recommendation.
ACM Trans. Inf. Syst.
Xixun Lin, Rui Liu, Yanan Cao, Lixin Zou, Qian Li, Yongxuan Wu, Yang Liu, Dawei Yin, Guandong Xu
2025 J jnl
Deep multimodal learning for time series analysis in social computing: a survey.
Int. J. Multim. Inf. Retr.
Chao Yang, Yakun Chen, Zihao Li, Xianzhi Wang, Kaize Shi, Lina Yao, Guandong Xu, Zhongwen Guo
2025 J jnl
Democratic Recommendation with User and Item Representatives Produced by Graph Condensation.
CoRR
Jiahao Liang, Haoran Yang, Xiangyu Zhao, Zhiwen Yu, Guandong Xu, Wanyu Wang, Kaixiang Yang
2025 J jnl
Developing and Validating the Arabic Version of the Attitudes Toward Large Language Models Scale.
CoRR
Basad Barajeeh, Ala Yankouskaya, Sameha Alshakhsi, Chun Sing Maxwell Ho, Guandong Xu, Raian Ali
2025 J jnl
Distributed Recommendation Systems: Survey and Research Directions.
ACM Trans. Inf. Syst.
Qiqi Cai, Jian Cao, Guandong Xu, Nengjun Zhu
2025 J jnl
DyBooster: Leveraging large language model as booster for dynamic recommendation.
Expert Syst. Appl.
Haoran Tang, Xueyao Sun, Shiqing Wu, Zhihong Cui, Guandong Xu, Qing Li
2025 J jnl
Dynamic Spatial-Temporal Graph Convolution Network for E-Bike Traffic Flow Forecasting.
IEEE Trans. Veh. Technol.
Dongjin Yu, Gangming Guo, Dongjing Wang, Tianpei Ouyang, Feng Wan, Jitao Liu, Guandong Xu, Shuiguang Deng
2025 A* conf
ENSUR: Equitable and Statistically Unbiased Recommendation.
ICML
Nitin Bisht, Xiuwen Gong, Guandong Xu
2025 J jnl
Educating Language Models as Promoters: Multi-Aspect Instruction Alignment With Self-Augmentation.
IEEE Trans. Knowl. Data Eng.
Xueyao Sun, Kaize Shi, Haoran Tang, Dingxian Wang, Guandong Xu, Qing Li
2025 — conf
Expert-Guided Toxicity Filtration for Debiased Generation.
PAKDD (4)
Xueyao Sun, Kaize Shi, Haoran Tang, Guandong Xu, Qing Li
2025 — conf
Framework for Diverse Depression Patients Roleplaying and Cognitive Diagnosis of Scales Using LLMs Based on CoT Prompts.
BESC (1)
Shixin Peng, Kun Jiang, Yu Yang, Jingying Chen, Guandong Xu
2025 J jnl
Fraud detection in multi-relation graph: Contrastive Learning on Feature and Structural Levels.
Neurocomputing
Jiangnan Tang, Huanhuan Gu, Darko B. Vukovic, Guandong Xu, Youquan Wang, Haicheng Tao, Jie Cao
2025 J jnl
From Occupations to Tasks: A New Perspective on Automatability Prediction Using BERT.
CoRR
Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu
2025 — conf
GenAI-Empowered Virtual Micro-teaching Training System for Preservice Teachers.
BESC (3)
Bojie Liu, Yu Yang, Guandong Xu
2025 J jnl
Graph Intention Embedding Neural Network for tag-aware recommendation.
Neural Networks
Dongjing Wang, Haojiang Yao, Dongjin Yu, Shiyu Song, He Weng, Guandong Xu, Shuiguang Deng
2025 J jnl
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey.
ACM Comput. Surv.
Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Michael Sheng
2025 J jnl
HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network.
IEEE Trans. Neural Networks Learn. Syst.
Qian Li, Zhichao Wang, Haiyang Xia, Gang Li, Yanan Cao, Lina Yao, Guandong Xu
2025 J jnl
How to Protect of Reader Preference Privacy in Mobile Book Information Services: A Technical Method.
ACM J. Data Inf. Qual.
Zongda Wu, Guoqi Lin, Huawen Liu, Jian Xie, Guandong Xu, Enhong Chen, Gang Li
2025 A conf
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective.
SANER
Zhangqian Bi, Yao Wan, Zhaoyang Chu, Yufei Hu, Junyi Zhang, Hongyu Zhang, Guandong Xu, Hai Jin
2025 J jnl
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective.
CoRR
Zhangqian Bi, Yao Wan, Zhaoyang Chu, Yufei Hu, Junyi Zhang, Hongyu Zhang, Guandong Xu, Hai Jin
2025 J jnl
HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge.
CoRR
Sirui Huang, Hanqian Li, Yanggan Gu, Xuming Hu, Qing Li, Guandong Xu
2025 A* conf
Hypercomplex Knowledge Graph-Aware Recommendation.
SIGIR
Anchen Li, Bo Yang, Huan Huo, Farookh Hussain, Guandong Xu
2025 J jnl
Improving long-tail classification via decoupling and regularisation.
CAAI Trans. Intell. Technol.
Shuzheng Gao, Chaozheng Wang, Cuiyun Gao, Wenjian Luo, Peiyi Han, Qing Liao, Guandong Xu
2025 A* conf
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection.
AAAI
Chaowei Zhang, Zongling Feng, Zewei Zhang, Jipeng Qiang, Guandong Xu, Yun Li
2025 J jnl
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection.
CoRR
Chaowei Zhang, Zongling Feng, Zewei Zhang, Jipeng Qiang, Guandong Xu, Yun Li
2025 A* conf
LLM-based Collaborative Agents with Pedagogy-guided Interaction Modeling for Timely Instructive Feedback Generation in Task-oriented Group Discussions.
IJCAI
Qihao Yang, Yu Yang, Sixu An, Tianyong Hao, Guandong Xu
2025 B conf
LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following.
COLING
Kaize Shi, Xueyao Sun, Dingxian Wang, Yinlin Fu, Guandong Xu, Qing Li
2025 J jnl
Large Language Models Meet Causal Inference: Semantic-Rich Dual Propensity Score for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Dianer Yu, Qian Li, Sirui Huang, Jie Cao, Guandong Xu
2025 J jnl
Large Language Models are Few-shot Multivariate Time Series Classifiers.
CoRR
Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guandong Xu
2025 J jnl
Large language models are few-shot multivariate time series classifiers.
Data Min. Knowl. Discov.
Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guandong Xu
2025 J jnl
Listwise Preference Alignment Optimization for Tail Item Recommendation.
CoRR
Zihao Li, Chao Yang, Tong Zhang, Yakun Chen, Xianzhi Wang, Guandong Xu, Daoyi Dong
2025 J jnl
Listwise Preference Optimization with Element-wise Confusions for Aspect Sentiment Quad Prediction.
CoRR
Wenna Lai, Haoran Xie, Guandong Xu, Qing Li, S. Joe Qin
2025 B conf
Location-Aware Deep Neural Network for Predicting Indoor 5G RSSI and CQI Using Drone-Based External RF Sensing.
KES
David Hason Rudd, Cesar Sanín, Koh Ming En, Xingyi Gao, Md. Rafiqul Islam, Mehedi Hasan, Xianzhi Wang, Angela Huo, Guandong Xu
2025 J jnl
Model-Agnostic Dual-Side Online Fairness Learning for Dynamic Recommendation.
IEEE Trans. Knowl. Data Eng.
Haoran Tang, Shiqing Wu, Zhihong Cui, Yicong Li, Guandong Xu, Qing Li
2025 — conf
Predicting Career Trajectories After Career Breaks: A Data-Driven Analysis Using LinkedIn Profiles.
BESC (1)
Kamila Kargabaeva, Yu Yang, Luka Anicin, Milos Stojmenovic, Guandong Xu
2025 J jnl
Preface: Security and safety in network simulation and evaluation.
Secur. Saf.
Zhaoquan Gu, Guandong Xu, Ning Hu
2025 J jnl
RVISA: Reasoning and Verification for Implicit Sentiment Analysis.
IEEE Trans. Affect. Comput.
Wenna Lai, Haoran Xie, Guandong Xu, Qing Li
2025 — conf
ReCareer: Hybrid Graph Neural Networks for Post-Career-Break Job Recommendation.
BESC (1)
Yunqi Wang, Yu Yang, Longxiang Gao, Xiaoming Wu, Guandong Xu
2025 A* conf
Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation.
ACM Multimedia
Shouxing Ma, Yawen Zeng, Shiqing Wu, Guandong Xu
2025 J jnl
Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation.
CoRR
Shouxing Ma, Yawen Zeng, Shiqing Wu, Guandong Xu
2025 J jnl
STAR: Stepwise Task Augmentation and Relation Learning for Aspect Sentiment Quad Prediction.
CoRR
Wenna Lai, Haoran Xie, Guandong Xu, Qing Li
2025 A conf
SarRec: Statistically-guaranteed Augmented Retrieval for Recommendation.
CIKM
Tong Zhang, Nitin Bisht, Zihao Li, Guandong Xu, Xianzhi Wang
2025 — conf
Self-generated Cross-Modal Prompt Tuning.
ECML/PKDD (3)
Guiming Cao, Zonghan Wu, Huan Huo, Yuming Ou, Guandong Xu
2025 J jnl
Self-supervised dual graph learning for recommendation.
Knowl. Based Syst.
Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain, Guandong Xu
2025 — conf
SpiderGNN: Spatial-Aware Predictive Inference with Dynamic Edge Reasoning for In-building 5G Signal Estimation.
BESC (1)
Xingyi Gao, David Hason Rudd, Ziang Li, Yuming Guo, Huan Huo, Guandong Xu
2025 — conf
StructFact: Reasoning Factual Knowledge from Structured Data with Large Language Models.
ACL (Findings)
Sirui Huang, Yanggan Gu, Zhonghao Li, Xuming Hu, Qing Li, Guandong Xu
2025 J jnl
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation.
ACM Trans. Inf. Syst.
Haoran Tang, Shiqing Wu, Xueyao Sun, Jun Zeng, Guandong Xu, Qing Li
2025 J jnl
UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training.
CoRR
Jiaqi Deng, Kaize Shi, Zonghan Wu, Huan Huo, Dingxian Wang, Guandong Xu
2025 J jnl
When LLMs Team Up: The Emergence of Collaborative Affective Computing.
CoRR
Wenna Lai, Haoran Xie, Guandong Xu, Qing Li, S. Joe Qin
2024 J jnl
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation.
CoRR
Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu
2024 J jnl
A novel complex network prediction method based on multi-granularity contrastive learning.
CCF Trans. Pervasive Comput. Interact.
Shanshan Sui, Qilong Han, Dan Lu, Shiqing Wu, Guandong Xu
2024 J jnl
A topic-controllable keywords-to-text generator with knowledge base network.
CAAI Trans. Intell. Technol.
Li He, Kaize Shi, Dingxian Wang, Xianzhi Wang, Guandong Xu
2024 J jnl
API Recommendation For Mashup Creation: A Comprehensive Survey.
Comput. J.
Hadeel Alhosaini, Sultan Alharbi, Xianzhi Wang, Guandong Xu
2024 J jnl
APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning.
CoRR
Guiming Cao, Kaize Shi, Hong Fu, Huaiwen Zhang, Guandong Xu
2024 J jnl
Achieving counterfactual fairness with imperfect structural causal model.
Expert Syst. Appl.
Tri Dung Duong, Qian Li, Guandong Xu
2024 J jnl
An Event-centric Framework for Predicting Crime Hotspots with Flexible Time Intervals.
CoRR
Jiahui Jin, Yi Hong, Guandong Xu, Jinghui Zhang, Jun Tang, Hancheng Wang
2024 J jnl
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation.
CoRR
Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu
2024 J jnl
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation.
IEEE Trans. Knowl. Data Eng.
Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu
2024 J jnl
Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study.
CoRR
Yang Wu, Yao Wan, Hongyu Zhang, Yulei Sui, Wucai Wei, Wei Zhao, Guandong Xu, Hai Jin
2024 J jnl
Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study.
Proc. ACM Manag. Data
Yang Wu, Yao Wan, Hongyu Zhang, Yulei Sui, Wucai Wei, Wei Zhao, Guandong Xu, Hai Jin
2024 — conf
CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels.
WISE (4)
Abdullah Alsuhaibani, Imran Razzak, Shoaib Jameel, Xianzhi Wang, Guandong Xu
2024 — conf
Cascading Hypergraph Convolution Networks for Multi-Behavior Sequential Recommendation.
BESC
Dan Lu, Hao Zhang, Lijie Li, Shiqing Wu, Guandong Xu
2024 J jnl
Category-aware self-supervised graph neural network for session-based recommendation.
World Wide Web (WWW)
Dongjing Wang, Ruijie Du, Qimeng Yang, Dongjin Yu, Feng Wan, Xiaojun Gong, Guandong Xu, Shuiguang Deng
2024 J jnl
Causality-based counterfactual explanation for classification models.
Knowl. Based Syst.
Tri Dung Duong, Qian Li, Guandong Xu
2024 A* conf
Challenging Low Homophily in Social Recommendation.
WWW
Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin
2024 J jnl
Challenging Low Homophily in Social Recommendation.
CoRR
Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin
2024 J jnl
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation.
CoRR
Kaize Shi, Xueyao Sun, Qing Li, Guandong Xu
2024 J jnl
Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation.
Trans. Recomm. Syst.
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2024 — conf
Counterfactual Debasing for Multi-behavior Recommendations.
DASFAA (3)
Sirui Huang, Qian Li, Xiangmeng Wang, Dianer Yu, Guandong Xu, Qing Li
2024 J jnl
Counterfactual Explainable Conversational Recommendation.
IEEE Trans. Knowl. Data Eng.
Dianer Yu, Qian Li, Xiangmeng Wang, Qing Li, Guandong Xu
2024 J jnl
Counterfactual Explanation for Fairness in Recommendation.
ACM Trans. Inf. Syst.
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2024 — conf
CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction.
DASFAA (7)
Kaixi Hu, Lin Li, Qing Xie, Xiaohui Tao, Guandong Xu
2024 J jnl
CrimeAlarm: Towards Intensive Intent Dynamics in Fine-grained Crime Prediction.
CoRR
Kaixi Hu, Lin Li, Qing Xie, Xiaohui Tao, Guandong Xu
2024 J jnl
Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics.
ACM Trans. Inf. Syst.
Kaixi Hu, Lin Li, Qing Xie, Jianquan Liu, Xiaohui Tao, Guandong Xu
2024 J jnl
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit.
CoRR
Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu
2024 J jnl
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit.
ACM Comput. Surv.
Yao Wan, Zhangqian Bi, Yang He, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu
2024 C conf
Developing an LLM-Empowered Agent to Enhance Student Collaborative Learning Through Group Discussion.
ICCE
Sixu An, Yicong Li, Yunsi Ma, Gary Cheng, Guandong Xu
2024 A* conf
Does Label Smoothing Help Deep Partial Label Learning?
ICML
Xiuwen Gong, Nitin Bisht, Guandong Xu
2024 A* conf
DySarl: Dynamic Structure-Aware Representation Learning for Multimodal Knowledge Graph Reasoning.
ACM Multimedia
Kangzheng Liu, Feng Zhao, Yu Yang, Guandong Xu
2024 J jnl
Dyformer: A dynamic transformer-based architecture for multivariate time series classification.
Inf. Sci.
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu
2024 J jnl
Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve.
IEEE Trans. Comput. Soc. Syst.
Zhihong Cui, Xiangguo Sun, Hongxu Chen, Li Pan, Lizhen Cui, Shijun Liu, Guandong Xu
2024 J jnl
Editorial to Special Issue on Multimedia Cognitive Computing for Intelligent Transportation System.
ACM Trans. Multim. Comput. Commun. Appl.
Shaohua Wan, Yi Jin, Guandong Xu, Michele Nappi
2024 — conf
Enhancing Spatiotemporal Prediction with Intra- and Inter-granularity Contrastive Learning.
DASFAA (2)
Qilong Han, Shanshan Sui, Dan Lu, Shiqing Wu, Guandong Xu
2024 — conf
Enhancing Traffic Prediction via Spatial Multi-Granularity Co-Evolving Mechanism.
BESC
Shanshan Sui, Qilong Han, Dan Lu, Shiqing Wu, Guandong Xu
2024 — conf
Exclusion Vis: A Visual Interactive System for Exclusion Analysis in Life Insurance Using Machine Learning Techniques.
BESC
Md. Rafiqul Islam, Thanh Thao Lam Nguyen, Shanjita Akter Prome, Md. Kowsar Hossain Sakib, Cesar Sanín, Guandong Xu, Weidong Huang
2024 J jnl
Expert-Guided Extinction of Toxic Tokens for Debiased Generation.
CoRR
Xueyao Sun, Kaize Shi, Haoran Tang, Guandong Xu, Qing Li
2024 J jnl
Exploring explicit and implicit graph learning for multivariate time series imputation.
Eng. Appl. Artif. Intell.
Yakun Chen, Ruotong Hu, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu
2024 J jnl
FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems.
ACM Trans. Inf. Syst.
Yao Wu, Jian Cao, Guandong Xu
2024 J jnl
Fairness in Recommender Systems: Evaluation Approaches and Assurance Strategies.
ACM Trans. Knowl. Discov. Data
Yao Wu, Jian Cao, Guandong Xu
2024 — conf
Fairness-Aware Mutual Information for Multimodal Recommendation.
BESC
Dan Lu, Xu Chen, Rui Chen, Shiqing Wu, Guandong Xu
2024 A conf
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation.
ISSTA
Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
2024 J jnl
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation.
CoRR
Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
2024 A* conf
Graph Reasoning Transformers for Knowledge-Aware Question Answering.
AAAI
Ruilin Zhao, Feng Zhao, Liang Hu, Guandong Xu
2024 J jnl
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey.
CoRR
Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Quan Z. Sheng
2024 J jnl
Guest Editorial: Special Issue on Generating Human Readable Explanations in NLP.
IEEE Trans. Comput. Soc. Syst.
Imran Razzak, Mohamed Reda Bouadjenek, Muhammad Aamir Cheema, Ibrahim A. Hameed, Guandong Xu, Amin Beheshti
2024 J jnl
Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic.
IEEE J. Biomed. Health Informatics
Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2024 A* conf
Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement.
SIGIR
Jiaqi Deng, Kaize Shi, Huan Huo, Dingxian Wang, Guandong Xu
2024 A conf
IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification.
WSDM
Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2024 J jnl
IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification.
CoRR
Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2024 A* conf
KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering.
IJCAI
Ruilin Zhao, Feng Zhao, Long Wang, Xianzhi Wang, Guandong Xu
2024 J jnl
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning.
CoRR
Haoran Yang, Xiangyu Zhao, Sirui Huang, Qing Li, Guandong Xu
2024 — conf
Learning Influential Relationships for Implicit Influence Maximization in Unknown Networks.
BESC
Shiqing Wu, Guandong Xu
2024 — conf
Leveraging Artificial Intelligence for Affordable and Clean Energy: Advancing UN Sustainable Development Goal 7.
BESC
Bavly Hanna, Guandong Xu, Xianzhi Wang, Md. Jahangir Hossain
2024 J jnl
MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games.
ACM Trans. Intell. Syst. Technol.
Dongjin Yu, Xingliang Wang, Yu Xiong, Xudong Shen, Runze Wu, Dongjing Wang, Zhene Zou, Guandong Xu
2024 J jnl
Modeling dynamic spatio-temporal correlations and transitions with time window partitioning for traffic flow prediction.
Expert Syst. Appl.
Dongjin Yu, Gangming Guo, Dongjing Wang, Haiping Zhang, Bao Li, Guandong Xu, Shuiguang Deng
2024 J jnl
Modeling multi-behavior sequence via HyperGRU contrastive network for micro-video recommendation.
Knowl. Based Syst.
Pan Gu, Haiyang Hu, Guandong Xu
2024 J jnl
Multi-Level Graph Knowledge Contrastive Learning.
IEEE Trans. Knowl. Data Eng.
Haoran Yang, Yuhao Wang, Xiangyu Zhao, Hongxu Chen, Hongzhi Yin, Qing Li, Guandong Xu
2024 J jnl
Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning.
CoRR
Wenna Lai, Haoran Xie, Guandong Xu, Qing Li
2024 J jnl
Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation.
ACM Trans. Inf. Syst.
Dongjing Wang, Xin Zhang, Yuyu Yin, Dongjin Yu, Guandong Xu, Shuiguang Deng
2024 J jnl
Multi-view GCN for loan default risk prediction.
Neural Comput. Appl.
Zihao Li, Yakun Chen, Xianzhi Wang, Lina Yao, Guandong Xu
2024 J jnl
NarrationDep: Narratives on Social Media For Automatic Depression Detection.
CoRR
Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2024 J jnl
Natural language interactions enhanced by data visualization to explore insurance claims and manage risk.
Ann. Oper. Res.
Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu
2024 J jnl
Neural Causal Graph collaborative filtering.
Inf. Sci.
Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Qing Li, Guandong Xu
2024 J jnl
Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation.
CoRR
Sixu An, Xiangguo Sun, Yicong Li, Yu Yang, Guandong Xu
2024 — conf
Preface.
BESC
Chengtao Cai, Xiaohui Tao, Jian Cao, Qilong Han, Guandong Xu
2024 J jnl
RVISA: Reasoning and Verification for Implicit Sentiment Analysis.
CoRR
Wenna Lai, Haoran Xie, Guandong Xu, Qing Li
2024 J jnl
Reasoning Factual Knowledge in Structured Data with Large Language Models.
CoRR
Sirui Huang, Yanggan Gu, Xuming Hu, Zhonghao Li, Qing Li, Guandong Xu
2024 J jnl
Reinforced Path Reasoning for Counterfactual Explainable Recommendation.
IEEE Trans. Knowl. Data Eng.
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2024 J jnl
Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment.
IEEE Trans. Multim.
Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu
2024 — conf
Speech Emotion Recognition Using Mel Spectrogram HPCA and Variational Mode Decomposition.
BESC
David Hason Rudd, Xingyi Gao, Md. Rafiqul Islam, Huan Huo, Guandong Xu
2024 J jnl
Strategies for evaluating visual analytics systems: A systematic review and new perspectives.
Inf. Vis.
Md. Rafiqul Islam, Shanjita Akter, Linta Islam, Imran Razzak, Xianzhi Wang, Guandong Xu
2024 A* conf
Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation.
ICDE
Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain, Guandong Xu
2024 J jnl
Temporal Diversity-Aware Micro-Video Recommendation with Long- and Short-Term Interests Modeling.
Neural Process. Lett.
Pan Gu, Haiyang Hu, Dongjing Wang, Dongjin Yu, Guandong Xu
2024 A* conf
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach.
KDD
Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu
2024 J jnl
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach.
CoRR
Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu
2024 — conf
Welcome Message.
BESC
Chengtao Cai, Xiaohui Tao, Jian Cao, Qilong Han, Guandong Xu
2023 J jnl
A Confusion Method for the Protection of User Topic Privacy in Chinese Keyword-based Book Retrieval.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Zongda Wu, Jian Xie, Shigen Shen, Chongze Lin, Guandong Xu, Enhong Chen
2023 J jnl
AIoT for sustainable manufacturing: Overview, challenges, and opportunities.
Internet Things
Abdul Matin, Md. Rafiqul Islam, Xianzhi Wang, Huan Huo, Guandong Xu
2023 — conf
AMR-TST: Abstract Meaning Representation-based Text Style Transfer.
ACL (Findings)
Kaize Shi, Xueyao Sun, Li He, Dingxian Wang, Qing Li, Guandong Xu
2023 J jnl
Achieving Counterfactual Fairness with Imperfect Structural Causal Model.
CoRR
Tri Dung Duong, Qian Li, Guandong Xu
2023 — ed.
Advances in Web-Based Learning - ICWL 2023 - 22nd International Conference, ICWL 2023, Sydney, NSW, Australia, November 26-28, 2023, Proceedings
ICWL
Haoran Xie, Chiu-Lin Lai, Wei Chen, Guandong Xu, Elvira Popescu
2023 A* conf
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations.
NeurIPS
Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu
2023 — conf
An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance.
PAKDD (3)
David Hason Rudd, Huan Huo, Guandong Xu
2023 J jnl
An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance.
CoRR
David Hason Rudd, Huan Huo, Guandong Xu
2023 J jnl
An effective method for the protection of user health topic privacy for health information services.
World Wide Web (WWW)
Zongda Wu, Huawen Liu, Jian Xie, Guandong Xu, Gang Li, Chenglang Lu
2023 J jnl
Attentional Gated Res2Net for Multivariate Time Series Classification.
Neural Process. Lett.
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
2023 J jnl
Be Causal: De-Biasing Social Network Confounding in Recommendation.
ACM Trans. Knowl. Discov. Data
Qian Li, Xiangmeng Wang, Zhichao Wang, Guandong Xu
2023 J jnl
Causal Analysis of Customer Churn Using Deep Learning.
CoRR
David Hason Rudd, Huan Huo, Guandong Xu
2023 J jnl
Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation.
IEEE Trans. Knowl. Data Eng.
Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu
2023 J jnl
Causal Neural Graph Collaborative Filtering.
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Guandong Xu
2023 J jnl
Causal Optimal Transport for Treatment Effect Estimation.
IEEE Trans. Neural Networks Learn. Syst.
Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu
2023 A conf
Causality-guided Graph Learning for Session-based Recommendation.
CIKM
Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu
2023 — conf
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows.
PAKDD (2)
Tri Dung Duong, Qian Li, Guandong Xu
2023 J jnl
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows.
CoRR
Tri Dung Duong, Qian Li, Guandong Xu
2023 — conf
Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data.
BESC
David Hason Rudd, Huan Huo, Md. Rafiqul Islam, Guandong Xu
2023 J jnl
Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data.
CoRR
David Hason Rudd, Huan Huo, Md. Rafiqul Islam, Guandong Xu
2023 J jnl
Counterfactual Explanation for Fairness in Recommendation.
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2023 J jnl
Deconfounded recommendation via causal intervention.
Neurocomputing
Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu
2023 A* conf
Dynamic Graph Evolution Learning for Recommendation.
SIGIR
Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li
2023 J jnl
Event-based incremental recommendation via factors mixed Hawkes process.
Inf. Sci.
Zhihong Cui, Xiangguo Sun, Li Pan, Shijun Liu, Guandong Xu
2023 B conf
Explainable exclusion in the life insurance using multi-label classifier.
IJCNN
Khanh-Van Nguyen, Md. Rafiqul Islam, Huan Huo, Peter Tilocca, Guandong Xu
2023 A conf
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation.
WSDM
Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu
2023 J jnl
Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks.
IEEE J. Biomed. Health Informatics
Abdul Rehman Javed, Imran Razzak, Guandong Xu
2023 — conf
From Occupations to Tasks: A New Perspective on Automatability Prediction Using BERT.
BESC
Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu
2023 — conf
From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations.
ADMA (1)
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu
2023 J jnl
GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation.
CoRR
Yakun Chen, Xianzhi Wang, Guandong Xu
2023 A* conf
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.
WWW
Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu
2023 J jnl
Graph-Aware Deep Fusion Networks for Online Spam Review Detection.
IEEE Trans. Comput. Soc. Syst.
Li He, Guandong Xu, Shoaib Jameel, Xianzhi Wang, Hongxu Chen
2023 J jnl
Guest Editorial Open and Interpretable AI in Computational Pathology.
IEEE J. Biomed. Health Informatics
Imran Razzak, Muhammad Khuram Khan, Guandong Xu, Fahmi Khalifa
2023 A* conf
HaPPy: Harnessing the Wisdom from Multi-Perspective Graphs for Protein-Ligand Binding Affinity Prediction (Student Abstract).
AAAI
Xianfeng Zhang, Yanhui Gu, Guandong Xu, Yafei Li, Jinlan Wang, Zhenglu Yang
2023 J jnl
Hyperbolic Neural Collaborative Recommender.
IEEE Trans. Knowl. Data Eng.
Anchen Li, Bo Yang, Huan Huo, Hongxu Chen, Guandong Xu, Zhen Wang
2023 A* conf
IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting.
ICDM
Kangzheng Liu, Feng Zhao, Guandong Xu, Shiqing Wu
2023 J jnl
Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions.
CoRR
David Hason Rudd, Huan Huo, Guandong Xu
2023 J jnl
Intent-aware Graph Neural Network for Point-of-Interest embedding and recommendation.
Neurocomputing
Xingliang Wang, Dongjing Wang, Dongjin Yu, Runze Wu, Qimeng Yang, Shuiguang Deng, Guandong Xu
2023 C ed.
Knowledge Management and Acquisition for Intelligent Systems - 19th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2023, Jakarta, Indonesia, November 15-16, 2023, Proceedings
PKAW
Shiqing Wu, Wenli Yang, Muhammad Bilal Amin, Byeong-Ho Kang, Guandong Xu
2023 J jnl
LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following.
CoRR
Kaize Shi, Xueyao Sun, Dingxian Wang, Yinlin Fu, Guandong Xu, Qing Li
2023 J jnl
Leveraged Mel spectrograms using Harmonic and Percussive Components in Speech Emotion Recognition.
CoRR
David Hason Rudd, Huan Huo, Guandong Xu
2023 — conf
Local Outlier Detection Based on K-distance Variation to Enhancing Imaging-aided Diagnosis.
BESC
Huiwen Dong, Rongcheng Li, Wenhua Wang, Shangrui Wu, Guandong Xu, Zhiwen Zhao, Qing-Guo Wang
2023 — conf
MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation.
ADMA (5)
Yakun Chen, Kaize Shi, Xianzhi Wang, Guandong Xu
2023 J jnl
Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning.
Inf. Sci.
Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu
2023 A* conf
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation.
SIGIR
Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin
2023 J jnl
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation.
CoRR
Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Guandong Xu, Kai Zheng, Hongzhi Yin
2023 J jnl
Predicting Financial Literacy via Semi-supervised Learning.
CoRR
David Hason Rudd, Huan Huo, Guandong Xu
2023 A* conf
RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation.
ICDE
Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin
2023 J jnl
Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation.
IEEE Trans. Knowl. Data Eng.
Yicong Li, Hongxu Chen, Yile Li, Lin Li, Philip S. Yu, Guandong Xu
2023 A* conf
SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems.
ICDM
Shiqing Wu, Guandong Xu, Xianzhi Wang
2023 J jnl
Self-Supervised Hypergraph Representation Learning for Sociological Analysis.
IEEE Trans. Knowl. Data Eng.
Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin
2023 A conf
Simplifying Graph-based Collaborative Filtering for Recommendation.
WSDM
Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu
2023 J jnl
Social responses to the COVID-19 pandemic.
Behav. Inf. Technol.
Wu He, Guandong Xu, Imran Razzak
2023 A conf
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation.
CIKM
Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin
2023 J jnl
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation.
CoRR
Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin
2023 J jnl
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1.
ACM Trans. Inf. Syst.
Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas
2023 J jnl
Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2.
ACM Trans. Inf. Syst.
Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas
2023 — conf
Underwriting Knowledge Graph Construction, Maintenance and Its Application on Explainable Exclusion.
BESC
Khanh-Van Nguyen, Peter Tilocca, Huan Huo, Guandong Xu
2022 — conf
A Two-Tower Spatial-Temporal Graph Neural Network for Traffic Speed Prediction.
PAKDD (1)
Yansong Shen, Lin Li, Qing Xie, Xin Li, Guandong Xu
2022 J jnl
API-GNN: attribute preserving oriented interactive graph neural network.
World Wide Web
Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian Li, Chuan Zhou, Guandong Xu
2022 — conf
Adaptive Graph Recurrent Network for Multivariate Time Series Imputation.
ICONIP (5)
Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu
2022 Misc conf
An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification.
AI
Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang, Guandong Xu
2022 J jnl
Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19.
J. Heal. Informatics Res.
Omar Sharif, Md. Rafiqul Islam, Md Zobaer Hasan, Muhammad Ashad Kabir, Md Emran Hasan, Salman A. AlQahtani, Guandong Xu
2022 Misc conf
Attentional Gated Res2net for Multivariate Time Series Classification.
ICASSP
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
2022 — conf
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks.
ADMA (1)
Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu
2022 J jnl
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks.
CoRR
Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu
2022 — conf
Big Data and Artificial Intelligence (AI) to Detect Glaucoma.
BESC
Lei Yang, Yao Xie, Md. Rafiqul Islam, Guandong Xu
2022 — conf
Blockchain-based solutions for Humanitarian supply Chain Management.
AMCIS
Bavly Hanna, Guandong Xu, Xianzhi Wang, Md. Jahangir Hossain
2022 J jnl
COV19IR : COVID-19 Domain Literature Information Retrieval.
CoRR
Arusarka Bose, Zili Zhou, Guandong Xu
2022 — conf
Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs.
SCC
Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu
2022 — conf
Can Language Models Serve as Temporal Knowledge Bases?
EMNLP (Findings)
Ruilin Zhao, Feng Zhao, Guandong Xu, Sixiao Zhang, Hai Jin
2022 J jnl
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation.
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu
2022 J jnl
Causal inference for the impact of economic policy on financial and labour markets amid the COVID-19 pandemic.
Web Intell.
Nhi N. Y. Vo, Guandong Xu, Dat Anh Le
2022 A conf
Cross-Language Binary-Source Code Matching with Intermediate Representations.
SANER
Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin
2022 J jnl
Cross-Language Binary-Source Code Matching with Intermediate Representations.
CoRR
Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin
2022 A conf
DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning.
CIKM
Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin
2022 J jnl
Deep treatment-adaptive network for causal inference.
VLDB J.
Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu
2022 J jnl
Detecting Duplicate Questions in Stack Overflow via Source Code Modeling.
Int. J. Softw. Eng. Knowl. Eng.
Wei Gao, Jian Wu, Guandong Xu
2022 B conf
DialMed: A Dataset for Dialogue-based Medication Recommendation.
COLING
Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen, Guandong Xu, Jian Wu
2022 J jnl
DialMed: A Dataset for Dialogue-based Medication Recommendation.
CoRR
Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen, Guandong Xu, Jian Wu
2022 J jnl
Domain-specific NLP system to support learning path and curriculum design at tech universities.
Comput. Educ. Artif. Intell.
Nhi N. Y. Vo, Quang T. Vu, Nam H. Vu, Tu A. Vu, Bang D. Mach, Guandong Xu
2022 A* conf
Dual Space Graph Contrastive Learning.
WWW
Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu
2022 J jnl
Dual Space Graph Contrastive Learning.
CoRR
Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu
2022 — conf
ECTRS: A Personalised Early Career Trajectory Recommender System for Youths.
BESC
Avery Tzeng Chiet Ngiam, Md. Rafiqul Islam, Guandong Xu
2022 — conf
Evidence-Based Process in Research Involving Machine Learning Algorithms.
BESC
Wilson Kurnia Lukmanjaya, Md. Rafiqul Islam, Guandong Xu
2022 J jnl
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media.
World Wide Web
Hamad Zogan, Imran Razzak, Xianzhi Wang, Shoaib Jameel, Guandong Xu
2022 J jnl
Federated Graph Contrastive Learning.
CoRR
Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu
2022 J jnl
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.
CoRR
Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Guandong Xu
2022 A conf
Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing.
WSDM
Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao
2022 J jnl
Graph Masked Autoencoder.
CoRR
Hongxu Chen, Sixiao Zhang, Guandong Xu
2022 B conf
Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction.
WISE
Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim
2022 J jnl
Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures.
IEEE Trans. Ind. Informatics
Imran Razzak, Guandong Xu, Muhammad Khurram Khan
2022 J jnl
Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions.
Hum. Centric Intell. Syst.
David Hason Rudd, Huan Huo, Guandong Xu
2022 J jnl
Improving healthcare outcomes using multimedia big data analytics.
Neural Comput. Appl.
Imran Razzak, Peter W. Eklund, Guandong Xu
2022 J jnl
Learning persona-driven personalized sentimental representation for review-based recommendation.
Expert Syst. Appl.
Peipei Wang, Lin Li, Ru Wang, Xinhao Zheng, Jiaxi He, Guandong Xu
2022 — conf
Leveraged Mel Spectrograms Using Harmonic and Percussive Components in Speech Emotion Recognition.
PAKDD (2)
David Hason Rudd, Huan Huo, Guandong Xu
2022 A* conf
MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations.
SIGIR
Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu
2022 J jnl
Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation.
IEEE Trans. Multim.
Dongjing Wang, Xin Zhang, Yao Wan, Dongjin Yu, Guandong Xu, Shuiguang Deng
2022 — conf
NaturalCC: An Open-Source Toolkit for Code Intelligence.
ICSE-Companion
Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu
2022 A* conf
Off-policy Learning over Heterogeneous Information for Recommendation.
WWW
Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu
2022 A* conf
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation.
SIGIR
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen
2022 J jnl
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation.
CoRR
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Nguyen Quoc Viet Hung
2022 J jnl
One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data.
Int. J. Intell. Syst.
Imran Razzak, Nour Moustafa, Shahid Mumtaz, Guandong Xu
2022 J jnl
Online Spam Review Detection: A Survey of Literature.
Hum. Centric Intell. Syst.
Li He, Xianzhi Wang, Hongxu Chen, Guandong Xu
2022 — ed.
PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part I
PRICAI (1)
Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu
2022 — ed.
PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part II
PRICAI (2)
Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu
2022 — ed.
PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part III
PRICAI (3)
Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu
2022 Misc conf
Predicting Financial Literacy via Semi-supervised Learning.
AI
David Hason Rudd, Huan Huo, Guandong Xu
2022 J jnl
Privileged multi-task learning for attribute-aware aesthetic assessment.
Pattern Recognit.
Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu
2022 J jnl
Reinforced KGs reasoning for explainable sequential recommendation.
World Wide Web
Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin
2022 J jnl
Reinforced Path Reasoning for Counterfactual Explainable Recommendation.
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu
2022 J jnl
Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention.
IEEE Trans. Software Eng.
Wenhua Wang, Yuqun Zhang, Yulei Sui, Yao Wan, Zhou Zhao, Jian Wu, Philip S. Yu, Guandong Xu
2022 J jnl
Self-supervised Hypergraph Representation Learning for Sociological Analysis.
CoRR
Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin
2022 — conf
Semantics-Guided Disentangled Learning for Recommendation.
PAKDD (1)
Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu
2022 J jnl
Sequential Recommendation Based on Multivariate Hawkes Process Embedding With Attention.
IEEE Trans. Cybern.
Dongjing Wang, Xin Zhang, Zhengzhe Xiang, Dongjin Yu, Guandong Xu, Shuiguang Deng
2022 J jnl
Social dual-effect driven group modeling for neural group recommendation.
Neurocomputing
Peipei Wang, Lin Li, Qing Xie, Ru Wang, Guandong Xu
2022 J jnl
Stochastic intervention for causal inference via reinforcement learning.
Neurocomputing
Tri Dung Duong, Qian Li, Guandong Xu
2022 A* conf
Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning.
ICDM
Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin
2022 A* conf
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation.
WWW
Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu
2022 J jnl
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation.
CoRR
Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu
2022 J jnl
V-SVR+: Support Vector Regression With Variational Privileged Information.
IEEE Trans. Multim.
Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu
2022 A* conf
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code.
ICSE
Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
2022 J jnl
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code.
CoRR
Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
2022 — conf
You see what I want you to see: poisoning vulnerabilities in neural code search.
ESEC/SIGSOFT FSE
Yao Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Dezhong Yao, Hai Jin, Lichao Sun
2021 J jnl
A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics.
CoRR
Hongru Liang, Haozheng Wang, Qian Li, Jun Wang, Guandong Xu, Jiawei Chen, Jin-Mao Wei, Zhenglu Yang
2021 J jnl
Aspect-level sentiment capsule network for micro-video click-through rate prediction.
World Wide Web
Yuqiang Han, Pan Gu, Wei Gao, Guandong Xu, Jian Wu
2021 J jnl
Attentive sequential model based on graph neural network for next poi recommendation.
World Wide Web
Dongjing Wang, Xingliang Wang, Zhengzhe Xiang, Dongjin Yu, Shuiguang Deng, Guandong Xu
2021 J jnl
Be Causal: De-biasing Social Network Confounding in Recommendation.
CoRR
Qian Li, Xiangmeng Wang, Guandong Xu
2021 — conf
C
PAKDD (1)
Yu Chu, Lin Li, Qing Xie, Guandong Xu
2021 J jnl
CAME: Content- and Context-Aware Music Embedding for Recommendation.
IEEE Trans. Neural Networks Learn. Syst.
Dongjing Wang, Xin Zhang, Dongjin Yu, Guandong Xu, Shuiguang Deng
2021 A conf
Causal-Aware Generative Imputation for Automated Underwriting.
CIKM
Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu
2021 A conf
Click-Through Rate Prediction with Multi-Modal Hypergraphs.
CIKM
Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu
2021 J jnl
Click-Through Rate Prediction with Multi-Modal Hypergraphs.
CoRR
Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu
2021 J jnl
Constructing dummy query sequences to protect location privacy and query privacy in location-based services.
World Wide Web
Zongda Wu, Guiling Li, Shigen Shen, Xinze Lian, Enhong Chen, Guandong Xu
2021 J jnl
DFIAM: deep factorization integrated attention mechanism for smart TV recommendation.
World Wide Web
Yijie Zhou, Xuewen Shen, Suiyu Zhang, Dingguo Yu, Guandong Xu
2021 J jnl
Deep Treatment-Adaptive Network for Causal Inference.
CoRR
Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu
2021 J jnl
Deep Visual Analytics (DVA): Applications, Challenges and Future Directions.
Hum. Centric Intell. Syst.
Md. Rafiqul Islam, Shanjita Akter, Md Rakybuzzaman Ratan, Abu Raihan M. Kamal, Guandong Xu
2021 J jnl
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media.
CoRR
Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2021 A* conf
DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media.
SIGIR
Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2021 J jnl
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia.
IEEE Trans. Comput. Soc. Syst.
Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen
2021 J jnl
Enhancing session-based social recommendation through item graph embedding and contextual friendship modeling.
Neurocomputing
Pan Gu, Yuqiang Han, Wei Gao, Guandong Xu, Jian Wu
2021 C conf
ExTraVis: Exploration of Traffic Incidents Using a Visual Interactive System.
IV
Joshua Zerafa, Md. Rafiqul Islam, Muhammad Ashad Kabir, Guandong Xu
2021 — conf
ExVis: Explainable Visual Decision Support System for Risk Management.
BESC
Md. Rafiqul Islam, Jiaming Zhang, Md. Hamjajul Ashmafee, Imran Razzak, Jianlong Zhou, Xianzhi Wang, Guandong Xu
2021 — conf
Expert Recommendations with Temporal Dynamics of User Interest in CQA.
WISE (1)
Xiaoqi Lv, Ke Ji, Zhenxiang Chen, Kun Ma, Jun Wu, Yidong Li, Guandong Xu
2021 J jnl
FCCA: Hybrid Code Representation for Functional Clone Detection Using Attention Networks.
IEEE Trans. Reliab.
Wei Hua, Yulei Sui, Yao Wan, Guangzhong Liu, Guandong Xu
2021 J jnl
From text to graph: a general transition-based AMR parsing using neural network.
Neural Comput. Appl.
Min Gu, Yanhui Gu, Weilan Luo, Guandong Xu, Zhenglu Yang, Junsheng Zhou, Weiguang Qu
2021 J jnl
Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond.
IEEE Trans. Comput. Soc. Syst.
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
2021 — conf
HACK: A Hierarchical Model for Fake News Detection.
WISE (1)
Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li, Guandong Xu
2021 Misc conf
Harnessing Privileged Information for Hyperbole Detection.
ALTA
Rhys Biddle, Maciek Rybinski, Qian Li, Cécile Paris, Guandong Xu
2021 A* conf
Hilbert Sinkhorn Divergence for Optimal Transport.
CVPR
Qian Li, Zhichao Wang, Gang Li, Jun Pang, Guandong Xu
2021 J jnl
Human-Centric Intelligent Systems: A Welcome Note from Editor(s)-in-Chief.
Hum. Centric Intell. Syst.
Tianrui Li, Guandong Xu
2021 A* conf
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation.
ICDM
Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu
2021 J jnl
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation.
CoRR
Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu
2021 A conf
Hyperbolic Hypergraphs for Sequential Recommendation.
CIKM
Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu
2021 J jnl
Hyperbolic Hypergraphs for Sequential Recommendation.
CoRR
Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu
2021 J jnl
Hyperbolic Neural Collaborative Recommender.
CoRR
Anchen Li, Bo Yang, Hongxu Chen, Guandong Xu
2021 J jnl
Leveraging multi-level dependency of relational sequences for social spammer detection.
Neurocomputing
Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu
2021 J jnl
Leveraging unstructured call log data for customer churn prediction.
Knowl. Based Syst.
Nhi N. Y. Vo, Shaowu Liu, Xitong Li, Guandong Xu
2021 J jnl
Prototype-based Counterfactual Explanation for Causal Classification.
CoRR
Tri Dung Duong, Qian Li, Guandong Xu
2021 J jnl
RLINK: Deep reinforcement learning for user identity linkage.
World Wide Web
Xiaoxue Li, Yanan Cao, Qian Li, Yanmin Shang, Yangxi Li, Yanbing Liu, Guandong Xu
2021 J jnl
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation.
CoRR
Yicong Li, Hongxu Chen, Yile Li, Lin Li, Philip S. Yu, Guandong Xu
2021 J jnl
Socially-driven multi-interaction attentive group representation learning for group recommendation.
Pattern Recognit. Lett.
Peipei Wang, Lin Li, Ru Wang, Guandong Xu, Jianwei Zhang
2021 B conf
Stochastic Intervention for Causal Effect Estimation.
IJCNN
Tri Dung Duong, Qian Li, Guandong Xu
2021 J jnl
Stochastic Intervention for Causal Effect Estimation.
CoRR
Tri Dung Duong, Qian Li, Guandong Xu
2021 J jnl
Stochastic Intervention for Causal Inference via Reinforcement Learning.
CoRR
Tri Dung Duong, Qian Li, Guandong Xu
2021 A* conf
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers.
SIGIR
Yao Wu, Jian Cao, Guandong Xu, Yudong Tan
2021 J jnl
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers.
CoRR
Yao Wu, Jian Cao, Guandong Xu, Yudong Tan
2021 A conf
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories.
CIKM
Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu
2021 J jnl
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories.
CoRR
Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu
2021 A conf
Temporal Meta-path Guided Explainable Recommendation.
WSDM
Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin
2021 J jnl
Temporal Meta-path Guided Explainable Recommendation.
CoRR
Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin
2021 J jnl
Time-aware sequence model for next-item recommendation.
Appl. Intell.
Dongjing Wang, Dengwei Xu, Dongjin Yu, Guandong Xu
2021 J jnl
Towards purchase prediction: A transaction-based setting and a graph-based method leveraging price information.
Pattern Recognit.
Zongxi Li, Haoran Xie, Guandong Xu, Qing Li, Mingming Leng, Chi Zhou
2021 B conf
UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System.
IJCNN
Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu
2021 A* conf
Where are we in embedding spaces?
KDD
Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu
2021 J jnl
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems.
CoRR
Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu
2020 J jnl
A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services.
IEEE Trans. Veh. Technol.
Zongda Wu, Ruiqin Wang, Qi Li, Xinze Lian, Guandong Xu, Enhong Chen, Xiyang Liu
2020 J jnl
Big data analytics for preventive medicine.
Neural Comput. Appl.
Muhammad Imran Razzak, Muhammad Imran, Guandong Xu
2020 J jnl
Causality Learning: A New Perspective for Interpretable Machine Learning.
CoRR
Guandong Xu, Tri Dung Duong, Qian Li, Shaowu Liu, Xianzhi Wang
2020 J jnl
Deep learning for misinformation detection on online social networks: a survey and new perspectives.
Soc. Netw. Anal. Min.
Md. Rafiqul Islam, Shaowu Liu, Xianzhi Wang, Guandong Xu
2020 J jnl
Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media.
CoRR
Hamad Zogan, Xianzhi Wang, Shoaib Jameel, Guandong Xu
2020 J jnl
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia.
CoRR
Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen
2020 — conf
Electricity Price Forecasting using Convolution and LSTM Models.
BESC
Dhruv Aditya Mittal, Shaowu Liu, Guandong Xu
2020 A conf
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint.
ICSOC
Yao Wu, Jian Cao, Guandong Xu
2020 J jnl
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint.
CoRR
Yao Wu, Jian Cao, Guandong Xu
2020 J jnl
Generative temporal link prediction via self-tokenized sequence modeling.
World Wide Web
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
2020 J jnl
Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection.
Neural Networks
Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu
2020 — conf
Joint Relational Dependency Learning for Sequential Recommendation.
PAKDD (1)
Xiangmeng Wang, Qian Li, Wu Zhang, Guandong Xu, Shaowu Liu, Wenhao Zhu
2020 J jnl
Learning with privileged information for photo aesthetic assessment.
Neurocomputing
Yangyang Shu, Qian Li, Shaowu Liu, Guandong Xu
2020 J jnl
Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection.
CoRR
Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu
2020 A* conf
Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter.
WWW
Rhys Biddle, Aditya Joshi, Shaowu Liu, Cécile Paris, Guandong Xu
2020 — conf
MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry.
BESC
Md. Rafiqul Islam, Shaowu Liu, Imran Razzak, Muhammad Ashad Kabir, Xianzhi Wang, Peter Tilocca, Guandong Xu
2020 J jnl
NaturalCC: A Toolkit to Naturalize the Source Code Corpus.
CoRR
Yao Wan, Yang He, Jianguo Zhang, Yulei Sui, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu
2020 A conf
Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning.
ESEM
Yangyang Shu, Yulei Sui, Hongyu Zhang, Guandong Xu
2020 J jnl
Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data.
Future Gener. Comput. Syst.
Imran Razzak, Khurram Zafar, Muhammad Imran, Guandong Xu
2020 J jnl
TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search.
CoRR
Wenhua Wang, Yuqun Zhang, Zhengran Zeng, Guandong Xu
2019 — conf
A Boundary-aware Neural Model for Nested Named Entity Recognition.
EMNLP/IJCNLP (1)
Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, Guandong Xu
2019 J jnl
A general framework for learning prosodic-enhanced representation of rap lyrics.
World Wide Web
Hongru Liang, Haozheng Wang, Qian Li, Jun Wang, Guandong Xu, Jiawei Chen, Jin-Mao Wei, Zhenglu Yang
2019 J jnl
BorderShift: toward optimal MeanShift vector for cluster boundary detection in high-dimensional data.
Pattern Anal. Appl.
Xiaofeng Cao, Baozhi Qiu, Guandong Xu
2019 J jnl
Constrained nonnegative matrix factorization-based semi-supervised multilabel learning.
Int. J. Mach. Learn. Cybern.
Dingguo Yu, Bin Fu, Guandong Xu, Aihong Qin
2019 J jnl
Deep learning for decision making and the optimization of socially responsible investments and portfolio.
Decis. Support Syst.
Nhi N. Y. Vo, Xuezhong He, Shaowu Liu, Guandong Xu
2019 J jnl
Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks.
IEEE J. Biomed. Health Informatics
Muhammad Imran Razzak, Muhammad Imran, Guandong Xu
2019 — conf
Electricity Price Forecast using Meteorology data: A study in Australian Energy Market.
BESC
Ming Zhao, Yangyang Shu, Shaowu Liu, Guandong Xu
2019 — conf
Emotion Recognition from Music Enhanced by Domain Knowledge.
PRICAI (1)
Yangyang Shu, Guandong Xu
2019 J jnl
Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks.
Expert Syst. Appl.
Zafar Saeed, Rabeeh Ayaz Abbasi, Imran Razzak, Onaiza Maqbool, Abida Sadaf, Guandong Xu
2019 J jnl
Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes].
IEEE Comput. Intell. Mag.
Zafar Saeed, Rabeeh Ayaz Abbasi, Muhammad Imran Razzak, Guandong Xu
2019 J jnl
Event Detection in Twitter Stream using Weighted Dynamic Heartbeat Graph Approach.
CoRR
Zafar Saeed, Rabeeh Ayaz Abbasi, Muhammad Imran Razzak, Guandong Xu
2019 J jnl
Generative Temporal Link Prediction via Self-tokenized Sequence Modeling.
CoRR
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
2019 J jnl
Multi-Modal Attention Network Learning for Semantic Source Code Retrieval.
CoRR
Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, Philip S. Yu
2019 A* conf
Multi-modal Attention Network Learning for Semantic Source Code Retrieval.
ASE
Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, Philip S. Yu
2019 J jnl
Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data.
IEEE Trans. Neural Networks Learn. Syst.
Xiaofeng Cao, Baozhi Qiu, Xiangli Li, Zenglin Shi, Guandong Xu, Jianliang Xu
2019 A* conf
On Completing Sparse Knowledge Base with Transitive Relation Embedding.
AAAI
Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang
2019 A* conf
Polynomial Representation for Persistence Diagram.
CVPR
Zhichao Wang, Qian Li, Gang Li, Guandong Xu
2019 — conf
Prediction and Analysis of Rumour's Impact on Social Media.
BESC
Jun Yin, Shaowu Liu, Qian Li, Guandong Xu
2019 J jnl
SMS: A Framework for Service Discovery by Incorporating Social Media Information.
IEEE Trans. Serv. Comput.
Tingting Liang, Liang Chen, Jian Wu, Guandong Xu, Zhaohui Wu
2019 J jnl
Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation.
CoRR
Peipei Wang, Lin Li, Yi Yu, Guandong Xu
2019 J jnl
Time-aware metric embedding with asymmetric projection for successive POI recommendation.
World Wide Web
Haochao Ying, Jian Wu, Guandong Xu, Yanchi Liu, Tingting Liang, Xiao Zhang, Hui Xiong
2019 J jnl
What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter.
J. Grid Comput.
Zafar Saeed, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Abida Sadaf, Imran Razzak, Ali Daud, Naif Radi Aljohani, Guandong Xu
2018 B conf
A Multiple Source based Transfer Learning Framework for Marketing Campaigns.
IJCNN
James Brownlow, Charles Chu, Guandong Xu, Ben Culbert, Bin Fu, Qinxue Meng
2018 J jnl
An Approach for Generation of SPARQL Query from SQL Algebra based Transformation Rules of RDB to Ontology.
J. Softw.
Mohamed A. G. Hazber, Bing Li, Guandong Xu, Mohammed A. S. Mosleh, Xiwu Gu, Yuhua Li
2018 J jnl
An Attention-Based Word-Level Interaction Model for Knowledge Base Relation Detection.
IEEE Access
Hongzhi Zhang, Guandong Xu, Xiao Liang, Guangluan Xu, Feng Li, Kun Fu, Lei Wang, Tinglei Huang
2018 J jnl
An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering.
CoRR
Hongzhi Zhang, Guandong Xu, Xiao Liang, Tinglei Huang, Kun Fu
2018 — conf
An Effective Joint Framework for Document Summarization.
WWW (Companion Volume)
Min Gui, Zhengkun Zhang, Zhenglu Yang, Yanhui Gu, Guandong Xu
2018 J jnl
An approach for the protection of users' book browsing preference privacy in a digital library.
Electron. Libr.
Zongda Wu, Chengren Zheng, Jian Xiejian, Zhifeng Zhou, Guandong Xu, Enhong Chen
2018 J jnl
An effective approach for the protection of privacy text data in the CloudDB.
World Wide Web
Zongda Wu, Guandong Xu, Chenglang Lu, Enhong Chen, Fang Jiang, Guiling Li
2018 J jnl
An enhanced short text categorization model with deep abundant representation.
World Wide Web
Yanhui Gu, Min Gu, Yi Long, Guandong Xu, Zhenglu Yang, Junsheng Zhou, Weiguang Qu
2018 Misc conf
Automated Underwriting in Life Insurance: Predictions and Optimisation.
ADC
Rhys Biddle, Shaowu Liu, Peter Tilocca, Guandong Xu
2018 — conf
Client Churn Prediction with Call Log Analysis.
DASFAA (2)
Nhi N. Y. Vo, Shaowu Liu, James Brownlow, Charles Chu, Ben Culbert, Guandong Xu
2018 — conf
Cost-Sensitive Churn Prediction in Fund Management Services.
DASFAA (2)
James Brownlow, Charles Chu, Bin Fu, Guandong Xu, Ben Culbert, Qinxue Meng
2018 J jnl
Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation.
IEEE Trans. Serv. Comput.
Zongda Wu, Guiling Li, Qi Liu, Guandong Xu, Enhong Chen
2018 Misc conf
Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach.
ADC
Ben Culbert, Bin Fu, James Brownlow, Charles Chu, Qinxue Meng, Guandong Xu
2018 J jnl
Exploiting cross-source knowledge for warming up community question answering services.
Neurocomputing
Yao Wan, Guandong Xu, Liang Chen, Zhou Zhao, Jian Wu
2018 J jnl
Fuzzy Cognitive Diagnosis for Modelling Examinee Performance.
ACM Trans. Intell. Syst. Technol.
Qi Liu, Runze Wu, Enhong Chen, Guandong Xu, Yu Su, Zhigang Chen, Guoping Hu
2018 J jnl
GIST: A generative model with individual and subgroup-based topics for group recommendation.
Expert Syst. Appl.
Ke Ji, Zhenxiang Chen, Runyuan Sun, Kun Ma, Zhongjie Yuan, Guandong Xu
2018 J jnl
Improving Automatic Source Code Summarization via Deep Reinforcement Learning.
CoRR
Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu
2018 A* conf
Improving automatic source code summarization via deep reinforcement learning.
ASE
Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu
2018 — conf
Knowledge-Based Recommendation with Hierarchical Collaborative Embedding.
PAKDD (2)
Zili Zhou, Shaowu Liu, Guandong Xu, Xing Xie, Jun Yin, Yidong Li, Wu Zhang
2018 J jnl
Learning to embed music and metadata for context-aware music recommendation.
World Wide Web
Dongjing Wang, Shuiguang Deng, Xin Zhang, Guandong Xu
2018 — ch.
Models for Community Dynamics.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Guandong Xu, Zhiang Wu, Jie Cao, Haicheng Tao
2018 — conf
Multimodal Mixture Density Boosting Network for Personality Mining.
PAKDD (1)
Nhi N. Y. Vo, Shaowu Liu, Xuezhong He, Guandong Xu
2018 — conf
Research Performance Reporting is Fallacious.
BESC
Adam Butler, Guandong Xu, Katarzyna Musial
2018 B conf
Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA.
IJCNN
Muhammad Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu
2018 J jnl
SCSMiner: mining social coding sites for software developer recommendation with relevance propagation.
World Wide Web
Yao Wan, Liang Chen, Guandong Xu, Zhou Zhao, Jie Tang, Jian Wu
2018 — conf
Semi-Supervised Soft K-Means Clustering of Life Insurance Questionnaire Responses.
BESC
Rhys Biddle, Shaowu Liu, Guandong Xu
2018 J jnl
Sequence-based context-aware music recommendation.
Inf. Retr. J.
Dongjing Wang, Shuiguang Deng, Guandong Xu
2018 A* conf
Sequential Recommender System based on Hierarchical Attention Networks.
IJCAI
Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu
2018 — ch.
Singular Value Decomposition.
Encyclopedia of Database Systems (2nd ed.)
Yanchun Zhang, Guandong Xu
2018 — conf
Social Spammer Detection: A Multi-Relational Embedding Approach.
PAKDD (1)
Jun Yin, Zili Zhou, Shaowu Liu, Zhiang Wu, Guandong Xu
2018 — conf
Taxpayer Behavior Prediction in SMS Campaigns.
BESC
Guiming Cao, Alan Downes, Shuraia Khan, Wendy Wong, Guandong Xu
2018 — conf
Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter.
PAKDD (2)
Zafar Saeed, Rabeeh Ayaz Abbasi, Abida Sadaf, Muhammad Imran Razzak, Guandong Xu
2018 J jnl
Unsupervised Keyword Extraction from Microblog Posts via Hashtags.
J. Web Eng.
Lin Li, Jinghang Liu, Yueqing Sun, Guandong Xu, Jingling Yuan, Luo Zhong
2018 — conf
Workshop Proposal on Knowledge Discovery from Digital Libraries.
JCDL
Hui Shi, Wu He, Guandong Xu
2017 — ed.
2017 International Conference on Behavioral, Economic, Socio-cultural Computing, BESC 2017, Krakow, Poland, October 16-18, 2017
BESC
Yves Demazeau, Jianbo Gao, Guandong Xu, Jaroslaw Kozlak, Klaus Müller, Imran Razzak, Hao Chen, Yanhui Gu
2017 J jnl
A topic modeling based approach to novel document automatic summarization.
Expert Syst. Appl.
Zongda Wu, Li Lei, Guiling Li, Hui Huang, Chengren Zheng, Enhong Chen, Guandong Xu
2017 — conf
An Enhanced Convolutional Neural Network Model for Answer Selection.
WWW (Companion Volume)
Jiahui Guo, Bin Yue, Guandong Xu, Zhenglu Yang, Jin-Mao Wei
2017 J jnl
An efficient Wikipedia semantic matching approach to text document classification.
Inf. Sci.
Zongda Wu, Hui Zhu, Guiling Li, Zongmin Cui, Hui Huang, Jun Li, Enhong Chen, Guandong Xu
2017 — conf
Co-training an Improved Recurrent Neural Network with Probability Statistic Models for Named Entity Recognition.
DASFAA (2)
Yueqing Sun, Lin Li, Zhongwei Xie, Qing Xie, Xin Li, Guandong Xu
2017 C conf
Collaborative Filtering via Different Preference Structures.
KSEM
Shaowu Liu, Na Pang, Guandong Xu, Huan Liu
2017 — conf
Combining heterogeneous features for time series prediction.
BESC
Charles Chu, James Brownlow, Qinxue Meng, Bin Fu, Ben Culbert, Min Zhu, Guandong Xu, Xuezhong He
2017 A* conf
Diversifying Personalized Recommendation with User-session Context.
IJCAI
Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu
2017 — conf
Exploiting Geographical Location for Team Formation in Social Coding Sites.
PAKDD (1)
Yuqiang Han, Yao Wan, Liang Chen, Guandong Xu, Jian Wu
2017 J jnl
Improving the Quality of Recommendations for Users and Items in the Tail of Distribution.
ACM Trans. Inf. Syst.
Liang Hu, Longbing Cao, Jian Cao, Zhiping Gu, Guandong Xu, Jie Wang
2017 — conf
Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response.
WWW (Companion Volume)
Runze Wu, Guandong Xu, Enhong Chen, Qi Liu, Wan Ng
2017 — conf
Latent factor analysis for low-dimensional implicit preference prediction.
BESC
Zili Zhou, Guandong Xu, Xiao Zhu, Shaowu Liu
2017 B conf
Music recommendation via heterogeneous information graph embedding.
IJCNN
Dongjing Wang, Guandong Xu, Shuiguang Deng
2017 J jnl
On Deep Learning for Trust-Aware Recommendations in Social Networks.
IEEE Trans. Neural Networks Learn. Syst.
Shuiguang Deng, Longtao Huang, Guandong Xu, Xindong Wu, Zhaohui Wu
2017 B ed.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31 - August 03, 2017
ASONAM
Jana Diesner, Elena Ferrari, Guandong Xu
2017 B conf
Structure embedding for knowledge base completion and analytics.
IJCNN
Zili Zhou, Guandong Xu, Wenhao Zhu, Jinyan Li, Wu Zhang
2017 — conf
The volatility of Bitcoin returns and its correlation to financial markets.
BESC
Nhi N. Y. Vo, Guandong Xu
2017 — conf
Towards simplified insurance application via sparse questionnaire optimization.
BESC
Shaowu Liu, Guandong Xu, Xiao Zhu, Zili Zhou
2017 — conf
What comes first the Co-authorship Network or the Citation?
MISNC
Adam Butler, Guandong Xu, Xuezhong He
2016 — ed.
2016 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2016, Durham, NC, USA, November 11-13, 2016
BESC
Gang Li, Yves Demazeau, Guandong Xu, Paul Wang, Leon S. L. Wang, Guanfeng Liu
2016 J jnl
A weighted adaptation method on learning user preference profile.
Knowl. Based Syst.
Zhiyuan Zhang, Yun Liu, Guandong Xu, Haiqiang Chen
2016 — conf
An Approach for Automatically Generating R2RML-Based Direct Mapping from Relational Databases.
ICYCSEE (1)
Mohamed A. G. Hazber, Ruixuan Li, Guandong Xu, Khaled M. Alalayah
2016 — conf
Applying Visual Analytics on Traditional Data Mining Process: Quick Prototype, Simple Expertise Transformation, and Better Interpretation.
ES
Xiao Zhu, Guandong Xu
2016 — conf
Applying client churn prediction modeling on home-based care services industry.
BESC
Raul Manongdo, Guandong Xu
2016 — conf
Classifying sybil in MSNs using C4.5.
BESC
Anand Chinchore, Guandong Xu, Frank Jiang
2016 C conf
CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation.
KSEM
Hao Guo, Xin Li, Ming He, Xiangyu Zhao, Guiquan Liu, Guandong Xu
2016 — conf
Coupled behavioral analysis for user preference-based email spamming.
BESC
Frank Jiang, Jin Gan, Yuanyuan Xu, Guandong Xu
2016 — conf
Deployment of churn prediction model in financial services industry.
BESC
Charles Chu, Guandong Xu, James Brownlow, Bin Fu
2016 — conf
GEMRec: A Graph-Based Emotion-Aware Music Recommendation Approach.
WISE (1)
Dongjing Wang, Shuiguang Deng, Guandong Xu
2016 — conf
Improving Music Recommendation Using Distributed Representation.
WWW (Companion Volume)
Dongjing Wang, Shuiguang Deng, Songguo Liu, Guandong Xu
2016 J jnl
Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains.
ACM Trans. Inf. Syst.
Liang Hu, Longbing Cao, Jian Cao, Zhiping Gu, Guandong Xu, Dingyu Yang
2016 B conf
Learning Music Embedding with Metadata for Context Aware Recommendation.
ICMR
Dongjing Wang, Shuiguang Deng, Xin Zhang, Guandong Xu
2016 — conf
Modeling User Mobility via User Psychological and Geographical Behaviors Towards Point of-Interest Recommendation.
DASFAA (1)
Yan Chen, Xin Li, Lin Li, Guiquan Liu, Guandong Xu
2016 J jnl
Point-of-Interest Recommendations via a Supervised Random Walk Algorithm.
IEEE Intell. Syst.
Guandong Xu, Bin Fu, Yanhui Gu
2016 — conf
Predicting Replacement of Smartphones with Mobile App Usage.
WISE (1)
Dun Yang, Zhiang Wu, Xiaopeng Wang, Jie Cao, Guandong Xu
2016 J jnl
Private Cell Retrieval From Data Warehouses.
IEEE Trans. Inf. Forensics Secur.
Xun Yi, Russell Paulet, Elisa Bertino, Guandong Xu
2016 J jnl
Protecting private geosocial networks against practical hybrid attacks with heterogeneous information.
Neurocomputing
Yuechuan Li, Yidong Li, Guandong Xu
2016 J jnl
Recommendation using DMF-based fine tuning method.
J. Intell. Inf. Syst.
Zhiyuan Zhang, Yun Liu, Guandong Xu, Gui Xun Luo
2016 J jnl
Social media analytics: unveiling the value, impact and implications of social media analytics for the management and use of online information.
Online Inf. Rev.
Wu He, Guandong Xu
2016 J jnl
Two-level matrix factorization for recommender systems.
Neural Comput. Appl.
Fangfang Li, Guandong Xu, Longbing Cao
2015 — ed.
2015 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2015, Nanjing, China, October 30 - December 1, 2015.
BESC
Guandong Xu, Yves Demazeau, Shu-Heng Chen, Junjie Wu, Michael Gavin, Irwin King, Jie Cao, Zhiang Wu, Zhan Bu
2015 — conf
An Approach for Mapping Relational Database into Ontology.
IEEE WISA
Mohamed A. G. Hazber, Ruixuan Li, Yuxi Zhang, Guandong Xu
2015 — conf
An analysis of new visitors' website behaviour before & after TV advertising.
BESC
Kyrylo Medvediev, Guandong Xu, Shlomo Berkovsky, Yury Onikienko
2015 J jnl
CSAL: Self-adaptive Labeling based Clustering Integrating Supervised Learning on Unlabeled Data.
CoRR
Fangfang Li, Guandong Xu, Longbing Cao
2015 B conf
Cloud-Based OLAP over Big Data: Application Scenarios and Performance Analysis.
CCGRID
Alfredo Cuzzocrea, Rim Moussa, Guandong Xu, Giorgio Mario Grasso
2015 J jnl
Constructing plausible innocuous pseudo queries to protect user query intention.
Inf. Sci.
Zongda Wu, Jie Shi, Chenglang Lu, Enhong Chen, Guandong Xu, Guiling Li, Sihong Xie, Philip S. Yu
2015 — conf
Coupled Matrix Factorization Within Non-IID Context.
PAKDD (2)
Fangfang Li, Guandong Xu, Longbing Cao
2015 J jnl
Coupling Analysis Between Twitter and Call Centre.
CoRR
Fangfang Li, Yanchang Zhao, Klaus Felsche, Guandong Xu, Longbing Cao
2015 — conf
Coupling Multiple Views of Relations for Recommendation.
PAKDD (2)
Bin Fu, Guandong Xu, Longbing Cao, Zhihai Wang, Zhiang Wu
2015 J jnl
Exploring user emotion in microblogs for music recommendation.
Expert Syst. Appl.
Shuiguang Deng, Dongjing Wang, Xitong Li, Guandong Xu
2015 J jnl
Guest Editorial: Advanced Technologies and Services for Multimedia Big Data Processing.
Multim. Tools Appl.
Young-Sik Jeong, Mei-Ling Shyu, Guandong Xu, Roland R. Wagner
2015 C conf
Hashtag Biased Ranking for Keyword Extraction from Microblog Posts.
KSEM
Lin Li, Chang Su, Yueqing Sun, Shengwu Xiong, Guandong Xu
2015 J jnl
Improving contextual advertising matching by using Wikipedia thesaurus knowledge.
Knowl. Inf. Syst.
Guandong Xu, Zongda Wu, Guiling Li, Enhong Chen
2015 — conf
Intelligent Sybil Attack Detection on Abnormal Connectivity Behavior in Mobile Social Networks.
KMO
Anand Chinchore, Frank Jiang, Guandong Xu
2015 J jnl
KIPTC: a kernel information propagation tag clustering algorithm.
J. Intell. Inf. Syst.
Guandong Xu, Yu Zong, Ping Jin, Rong Pan, Zongda Wu
2015 A* conf
Learning User Preferences across Multiple Aspects for Merchant Recommendation.
ICDM
Xin Li, Guandong Xu, Enhong Chen, Lin Li
2015 J jnl
Learning recency based comparative choice towards point-of-interest recommendation.
Expert Syst. Appl.
Xin Li, Guandong Xu, Enhong Chen, Yu Zong
2015 — conf
Learning to rank domain experts in microblogging by combining text and non-text features.
BESC
Lu Qi, Yanyi Huang, Lin Li, Guandong Xu
2015 A* conf
MARS: A multi-aspect Recommender system for Point-of-Interest.
ICDE
Xin Li, Guandong Xu, Enhong Chen, Lin Li
2015 C conf
OLAP-enabled web search of complex objects.
iiWAS
Alfredo Cuzzocrea, Guandong Xu, Giorgio Mario Grasso
2015 — conf
Semantic SPARQL Query in a Relational Database Based on Ontology Construction.
SKG
Mohamed A. G. Hazber, Ruixuan Li, Xiwu Gu, Guandong Xu, Yuhua Li
2015 J jnl
Social networking meets recommender systems: survey.
Int. J. Soc. Netw. Min.
Guandong Xu, Zhiang Wu, Yanchun Zhang, Jie Cao
2014 B ed.
2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 2014
ASONAM
Xindong Wu, Martin Ester, Guandong Xu
2014 — conf
A Novel Heuristic Scheme for Modeling and Managing Time Bound Constraints in Data-Intensive Grid and Cloud Infrastructures.
OTM Workshops
Alfredo Cuzzocrea, Guandong Xu
2014 B conf
A backbone extraction method with Local Search for complex weighted networks.
ASONAM
Zhan Bu, Zhiang Wu, Liqiang Qian, Jie Cao, Guandong Xu
2014 B conf
A confidence-based entity resolution approach with incomplete information.
DSAA
Qi Gu, Yan Zhang, Jian Cao, Guandong Xu, Alfredo Cuzzocrea
2014 A* conf
Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages.
ICDM
Liang Hu, Wei Cao, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu
2014 J jnl
Behavior Informatics: A New Perspective.
IEEE Intell. Syst.
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
2014 J jnl
CMF: Coupled Matrix Factorization for Recommender Systems.
CoRR
Fangfang Li, Guandong Xu, Longbing Cao, Xiaozhong Fan, Zhendong Niu
2014 — conf
Coupled Item-Based Matrix Factorization.
WISE (1)
Fangfang Li, Guandong Xu, Longbing Cao
2014 J jnl
Coupled Item-based Matrix Factorization.
CoRR
Fangfang Li, Guandong Xu, Longbing Cao
2014 A* conf
Deep Modeling of Group Preferences for Group-Based Recommendation.
AAAI
Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Wei Cao
2014 J jnl
Expanding user's query with tag-neighbors for effective medical information retrieval.
Multim. Tools Appl.
Frederico Araújo Durão, Karunakar Bayyapu, Guandong Xu, Peter Dolog, Ricardo Lage
2014 J jnl
Exploration on efficient similar sentences extraction.
World Wide Web
Yanhui Gu, Zhenglu Yang, Guandong Xu, Miyuki Nakano, Masashi Toyoda, Masaru Kitsuregawa
2014 A* conf
Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval.
ICDM
Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Jianhui Li, Yuanchun Zhou, Hui Xiong
2014 J jnl
Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval.
CoRR
Liang Wu, Hui Xiong, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Yuanchun Zhou, Jianhui Li
2014 A* conf
Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach.
AAAI
Nian Liu, Lin Li, Guandong Xu, Zhenglu Yang
2014 B conf
Mining user tasks from print logs.
IJCNN
Xin Li, Lei Zhang, Ping Luo, Enhong Chen, Guandong Xu, Yu Zong, Chu Guan
2014 — ch.
Models for Community Dynamics.
Encyclopedia of Social Network Analysis and Mining
Guandong Xu, Zhiang Wu, Jie Cao, Haicheng Tao
2014 J jnl
Multi-label learning based on iterative label propagation over graph.
Pattern Recognit. Lett.
Bin Fu, Zhihai Wang, Guandong Xu, Longbing Cao
2014 J jnl
Online IS Education for the 21st Century.
J. Inf. Syst. Educ.
Wu He, Guandong Xu, S. E. Kruck
2014 J jnl
Social cyber systems - Challenges, opportunities, and beyond.
J. Syst. Softw.
Nitin Agarwal, Aoying Zhou, Guandong Xu
2014 J jnl
Social network-based service recommendation with trust enhancement.
Expert Syst. Appl.
Shuiguang Deng, Longtao Huang, Guandong Xu
2014 J jnl
Special Issue on Social Computing and its Applications.
Comput. J.
Guandong Xu, Aoying Zhou, Nitin Agarwal
2014 — conf
The Application of Cartesian-Join of Bloom Filters to Supporting Membership Query of Multidimensional Data.
BigData Congress
Zhu Wang, Tiejian Luo, Guandong Xu, Xiang Wang
2014 — conf
Towards a Framework for Supporting Web Search of Complex Objects via Multidimensional Paradigms.
ICCSA (Workshops/Short Papers/Posters)
Alfredo Cuzzocrea, Guandong Xu
2013 — conf
A New Indexing Technique for Supporting By-attribute Membership Query of Multidimensional Data.
WAIM Workshops
Zhu Wang, Tiejian Luo, Guandong Xu, Xiang Wang
2013 — conf
A Spectral Clustering Algorithm Based on Hierarchical Method.
ADMI
Xiwei Chen, Li Liu, Dashi Luo, Guandong Xu, Yonggang Lu, Ming Liu, Rongmin Gao
2013 — ed.
Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I
PAKDD (1)
Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu
2013 — ed.
Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II
PAKDD (2)
Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu
2013 J jnl
An efficient approach to suggesting topically related web queries using hidden topic model.
World Wide Web
Lin Li, Guandong Xu, Zhenglu Yang, Peter Dolog, Yanchun Zhang, Masaru Kitsuregawa
2013 — ed.
Behavior and Social Computing, International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, QLD, Australia, April 14-17, 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers
BSI@PAKDD/BSIC@IJCAI
Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-Peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang
2013 — conf
CGMF: Coupled Group-Based Matrix Factorization for Recommender System.
WISE (1)
Fangfang Li, Guandong Xu, Longbing Cao, Xiaozhong Fan, Zhendong Niu
2013 — conf
Community Detection in Multi-relational Social Networks.
WISE (2)
Zhiang Wu, Wenpeng Yin, Jie Cao, Guandong Xu, Alfredo Cuzzocrea
2013 A* conf
Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis.
IJCAI
Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Gu, Longbing Cao
2013 J jnl
Guest editorial: social networks and social Web mining.
World Wide Web
Guandong Xu, Jeffrey Xu Yu, Wookey Lee
2013 A* conf
Leveraging Supervised Label Dependency Propagation for Multi-label Learning.
ICDM
Bin Fu, Guandong Xu, Zhihai Wang, Longbing Cao
2013 C conf
Leveraging Visual Features and Hierarchical Dependencies for Conference Information Extraction.
APWeb
Yue You, Guandong Xu, Jian Cao, Yanchun Zhang, Guangyan Huang
2013 — ch.
Medical Information Retrieval Enhanced with User's Query Expanded with Tag-Neighbors.
Handbook of Medical and Healthcare Technologies
Frederico Araújo Durão, Karunakar Bayyapu, Guandong Xu, Peter Dolog, Ricardo Lage
2013 — conf
Mining Frequent Patterns in Print Logs with Semantically Alternative Labels.
ADMA (2)
Xin Li, Lei Zhang, Enhong Chen, Yu Zong, Guandong Xu
2013 C conf
OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data.
MEDI
Alfredo Cuzzocrea, Rim Moussa, Guandong Xu
2013 A* conf
Personalized recommendation via cross-domain triadic factorization.
WWW
Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Can Zhu
2013 J jnl
Position-wise contextual advertising: Placing relevant ads at appropriate positions of a web page.
Neurocomputing
Zongda Wu, Guandong Xu, Chenglang Lu, Enhong Chen, Yanchun Zhang, Hong Zhang
2013 C conf
Private data warehouse queries.
SACMAT
Xun Yi, Russell Paulet, Elisa Bertino, Guandong Xu
2013 — conf
Suggestions for Fresh Search Queries by Mining Mircoblog Topics.
BSI@PAKDD/BSIC@IJCAI
Lin Li, Xing Chen, Guandong Xu
2013 — conf
Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers.
DASFAA (2)
Liang Wu, Alvin Chin, Guandong Xu, Liang Du, Xia Wang, Kangjian Meng, Yonggang Guo, Yuanchun Zhou
2012 — ed.
2012 Second International Conference on Cloud and Green Computing, CGC 2012, Xiangtan, Hunan, China, November 1-3, 2012
CGC
Jianxun Liu, Jinjun Chen, Guandong Xu
2012 C conf
A MapReduce-Based Parallel Clustering Algorithm for Large Protein-Protein Interaction Networks.
ADMA
Li Liu, Dangping Fan, Ming Liu, Guandong Xu, Shiping Chen, Yuan Zhou, Xiwei Chen, Qianru Wang, Yufeng Wei
2012 J jnl
A feature-free search query classification approach using semantic distance.
Expert Syst. Appl.
Lin Li, Luo Zhong, Guandong Xu, Masaru Kitsuregawa
2012 B conf
A projective clustering algorithm based on significant local dense areas.
IJCNN
Yu Zong, Guandong Xu, Ping Jin, Xun Yi, Enhong Chen, Zongda Wu
2012 — conf
Academic Recommendation on Graph with Dynamic Transfer Chain.
CGC
Jia Zhou, Tiejian Luo, Guandong Xu
2012 J jnl
An Improved Contextual Advertising Matching Approach based on Wikipedia Knowledge.
Comput. J.
Zongda Wu, Guandong Xu, Yanchun Zhang, Peter Dolog, Chenglang Lu
2012 — conf
An Integrated Pruning Criterion for Ensemble Learning Based on Classification Accuracy and Diversity.
KMO
Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu, Peter Dolog
2012 — conf
Book Recommendation Based on Joint Multi-relational Model.
CGC
Qiuzi Shangguan, Liang Hu, Jian Cao, Guandong Xu
2012 J jnl
Executing SQL queries over encrypted character strings in the Database-As-Service model.
Knowl. Based Syst.
Zongda Wu, Guandong Xu, Yu Zong, Xun Yi, Enhong Chen, Yanchun Zhang
2012 — conf
Finding Related Micro-blogs Based on WordNet.
DASFAA Workshops
Lin Li, Huifan Xiao, Guandong Xu
2012 J jnl
GMQL: A graphical multimedia query language.
Knowl. Based Syst.
Zongda Wu, Guandong Xu, Yanchun Zhang, Zhongsheng Cao, Guiling Li, Zhiwen Hu
2012 — conf
Group Division for Recommendation in Tag-Based Systems.
CGC
Rong Pan, Guandong Xu, Peter Dolog, Yu Zong
2012 C ed.
Health Information Science - First International Conference, HIS 2012, Beijing, China, April 8-10, 2012. Proceedings
HIS
Jing He, Xiaohui Liu, Elizabeth A. Krupinski, Guandong Xu
2012 — conf
KNN-Based Clustering for Improving Social Recommender Systems.
ADMI
Rong Pan, Peter Dolog, Guandong Xu
2012 B conf
Latent Informative Links Detection.
KES
Liang Hu, Jian Cao, Guandong Xu, Zhiping Gu
2012 — conf
Learning Tree Structure of Label Dependency for Multi-label Learning.
PAKDD (1)
Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu, Peter Dolog
2012 — conf
On Smart and Accurate Contextual Advertising.
DASFAA Workshops
Guandong Xu, Zongda Wu
2012 — conf
Preemptive Hadoop Jobs Scheduling under a Deadline.
SKG
Li Liu, Yuan Zhou, Ming Liu, Guandong Xu, Xiwei Chen, Dangping Fan, Qianru Wang
2012 A* conf
Recommending Related Microblogs: A Comparison Between Topic and WordNet based Approaches.
AAAI
Xing Chen, Lin Li, Guandong Xu, Zhenglu Yang, Masaru Kitsuregawa
2012 C ed.
Web Technologies and Applications - 14th Asia-Pacific Web Conference, APWeb 2012, Kunming, China, April 11-13, 2012. Proceedings
APWeb
Quan Z. Sheng, Guoren Wang, Christian S. Jensen, Guandong Xu
2011 — conf
A Feature-Free Flexible Approach to Topical Classification of Web Queries.
SKG
Lin Li, Guandong Xu, Zhenglu Yang, Yanchun Zhang, Masaru Kitsuregawa
2011 — conf
A Local Information Passing Clustering Algorithm for Tagging Systems.
DASFAA Workshops
Yu Zong, Guandong Xu, Ping Jin, Peter Dolog, Shan Jiang
2011 — conf
APPECT: An Approximate Backbone-Based Clustering Algorithm for Tags.
ADMA (1)
Yu Zong, Guandong Xu, Ping Jin, Yanchun Zhang, Enhong Chen, Rong Pan
2011 J jnl
HC_AB: A new heuristic clustering algorithm based on Approximate Backbone.
Inf. Process. Lett.
Yu Zong, Guandong Xu, Ping Jin, Yanchun Zhang, Enhong Chen
2011 C conf
Incorporating Sentiment Analysis for Improved Tag-Based Recommendation.
DASC
Qingbiao Zhou, Jie Fang, Guandong Xu
2011 A conf
Leveraging Wikipedia concept and category information to enhance contextual advertising.
CIKM
Zongda Wu, Guandong Xu, Rong Pan, Yanchun Zhang, Zhiwen Hu, Jianfeng Lu
2011 J jnl
Modeling user hidden navigational behavior for Web recommendation.
Web Intell. Agent Syst.
Guandong Xu, Lin Li, Yanchun Zhang, Xun Yi, Masaru Kitsuregawa
2011 — conf
On Kernel Information Propagation for Tag Clustering in Social Annotation Systems.
KES (2)
Guandong Xu, Yu Zong, Rong Pan, Peter Dolog, Ping Jin
2011 J jnl
Random walk based rank aggregation to improving web search.
Knowl. Based Syst.
Lin Li, Guandong Xu, Yanchun Zhang, Masaru Kitsuregawa
2011 A* conf
SemRec: A Semantic Enhancement Framework for Tag Based Recommendation.
AAAI
Guandong Xu, Yanhui Gu, Peter Dolog, Yanchun Zhang, Masaru Kitsuregawa
2011 B conf
TOAST: A Topic-Oriented Tag-Based Recommender System.
WISE
Guandong Xu, Yanhui Gu, Yanchun Zhang, Zhenglu Yang, Masaru Kitsuregawa
2010 — conf
A User Group Clustering Approach in Tagging Systems.
LWA
Rong Pan, Guandong Xu, Peter Dolog
2010 Misc conf
A framework of data integration, knowledge management and user behaviour modelling in healthcare applications of diabetes.
ADC
Yanchun Zhang, Guandong Xu, Liping Wang, Kerry Bennett
2010 J jnl
A robust iterative refinement clustering algorithm with smoothing search space.
Knowl. Based Syst.
Yu Zong, Guandong Xu, Yanchun Zhang, He Jiang, Mingchu Li
2010 — conf
Co-clustering Analysis of Weblogs Using Bipartite Spectral Projection Approach.
KES (3)
Guandong Xu, Yu Zong, Peter Dolog, Yanchun Zhang
2010 B conf
Co-clustering for Weblogs in Semantic Space.
WISE
Yu Zong, Guandong Xu, Peter Dolog, Yanchun Zhang, Renjin Liu
2010 — conf
SNSMW 2010 Workshop Organizers' Message.
DASFAA Workshops
Yoshinori Hijikata, Guandong Xu
2009 B conf
Enhancing Web Search by Aggregating Results of Related Web Queries.
WISE
Lin Li, Guandong Xu, Yanchun Zhang, Masaru Kitsuregawa
2009 J jnl
On web communities mining and recommendation.
Concurr. Comput. Pract. Exp.
Yanchun Zhang, Guandong Xu
2009 — ch.
Singular Value Decomposition.
Encyclopedia of Database Systems
Yanchun Zhang, Guandong Xu
2009 J jnl
Toward breast cancer survivability prediction models through improving training space.
Expert Syst. Appl.
Jaree Thongkam, Guandong Xu, Yanchun Zhang, Fuchun Huang
2009 — conf
Web Co-clustering of Usage Network Using Tensor Decomposition.
Web Intelligence/IAT Workshops
Qingbiao Zhou, Guandong Xu, Yu Zong
2008 B conf
AdaBoost algorithm with random forests for predicting breast cancer survivability.
IJCNN
Jaree Thongkam, Guandong Xu, Yanchun Zhang
2008 — ed.
Advanced Web and NetworkTechnologies, and Applications, APWeb 2008 International Workshops: BIDM, IWHDM, and DeWeb Shenyang, China, April 26-28, 2008. Revised Selected Papers
APWeb Workshops
Yoshiharu Ishikawa, Jing He, Guandong Xu, Yong Shi, Guangyan Huang, Chaoyi Pang, Qing Zhang, Guoren Wang
2008 — conf
Modelling User Behaviour for Web Recommendation Using LDA Model.
Web Intelligence/IAT Workshops
Guandong Xu, Yanchun Zhang, Xun Yi
2008 C ed.
Progress in WWW Research and Development, 10th Asia-Pacific Web Conference, APWeb 2008, Shenyang, China, April 26-28, 2008. Proceedings
APWeb
Yanchun Zhang, Ge Yu, Elisa Bertino, Guandong Xu
2008 — conf
Support Vector Machine for Outlier Detection in Breast Cancer Survivability Prediction.
APWeb Workshops
Jaree Thongkam, Guandong Xu, Yanchun Zhang, Fuchun Huang
2008 — conf
Using Web Clustering for Web Communities Mining and Analysis.
Web Intelligence
Yanchun Zhang, Guandong Xu
2007 — conf
On Web Communities Mining and Analysis.
SKG
Yanchun Zhang, Guandong Xu
2006 Misc conf
Discovering task-oriented usage pattern for web recommendation.
ADC
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
2006 C conf
Mining Gait Pattern for Clinical Locomotion Diagnosis Based on Clustering Techniques.
ADMA
Guandong Xu, Yanchun Zhang, Rezaul K. Begg
2006 J jnl
Tumor tissue identification based on gene expression data using DWT feature extraction and PNN classifier.
Neurocomputing
Guangmin Sun, Xiaoying Dong, Guandong Xu
2005 — conf
A DNA Based Evolutionary Algorithm for the Minimal Set Cover Problem.
ICIC (2)
Wenbin Liu, Xiangou Zhu, Guandong Xu, Qiang Zhang, Lin Gao
2005 C conf
A Latent Usage Approach for Clustering Web Transaction and Building User Profile.
ADMA
Yanchun Zhang, Guandong Xu, Xiaofang Zhou
2005 B conf
A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis.
WISE
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
2005 Misc conf
Discovering User Access Pattern Based on Probabilistic Latent Factor Model.
ADC
Guandong Xu, Yanchun Zhang, Jiangang Ma, Xiaofang Zhou
2005 — conf
Towards User Profiling for Web Recommendation.
Australian Conference on Artificial Intelligence
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
2005 — conf
Using Probabilistic Latent Semantic Analysis for Web Page Grouping.
RIDE
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
2004 — conf
DWT based feature extraction of gene expression data for tissue classification.
Neural Networks and Computational Intelligence
Xiaoying Dong, Guangmin Sun, Guandong Xu