| 2026 | ACL | Concept rather than Document: Context Compression via AMR-based Conceptual Entropy. | Kaize Shi, Xueyao Sun, Xiaohui Tao, Lin Li, Qika Lin, Guandong Xu |
| 2026 | DASFAA | MKLoRA: Multi-Knowledge Collaboration via Intermediate Representation Splitting of LoRA. | Hong Zhang, Feng Zhao, Ruilin Zhao, Yu Yang, Guandong Xu |
| 2026 | DASFAA | CoT-F: Leveraging Chain-of-Thought Families in Large Language Models for Complex Question Answering. | Feng Zhao, Xianggan Liu, Long Wang, Ruilin Zhao, Yu Yang, Guandong Xu |
| 2026 | DASFAA | BackChainer: Backward Chaining over Graph for Integrating Structured Knowledge Into Large Language Model Reasoning. | Ruilin Zhao, Feng Zhao, Guandong Xu |
| 2026 | WWW | FilterRec: An Intent-Aware Framework for Dynamic Filter Recommendation. | Dingxian Wang, Jiacheng Dong, Jiaqi Deng, Jing Long, Ted Liu, George Barelas, Arya Taylor, Spyros Kapnissis, Frank Yang, Andrew Rabinovich, Guandong Xu |
| 2026 | WWW | DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph. | Feng Zhao, Kangzheng Liu, Teng Peng, Yu Yang, Guandong Xu |
| 2026 | SIGIR | Diagnosing and Mitigating Mid-Sequence Degradation in Recommender Systems. | Linjiang Guo, Nitin Bisht, Shiqing Wu, Huan Huo, Xianzhi Wang, Guandong Xu |
| 2026 | SIGIR | Chunk-Wise Quantization for Graph Collaborative Filtering. | Kaixi Hu, Peipei Wang, Kaize Shi, Jingling Yuan, Yu Yang, Guandong Xu, Lin Li |
| 2026 | SIGIR | Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning. | Xiangmeng Wang, Qian Li, Haiyang Xia, Hao Miao, Qing Li, Guandong Xu |
| 2025 | AAAI | CUGF: A Reliable and Fair Recommendation Framework. | Nitin Bisht, Xiuwen Gong, Guandong Xu |
| 2025 | AAAI | Conformal Prediction for Partial Label Learning. | Xiuwen Gong, Nitin Bisht, Guandong Xu |
| 2025 | AAAI | Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection. | Chaowei Zhang, Zongling Feng, Zewei Zhang, Jipeng Qiang, Guandong Xu, Yun Li |
| 2025 | ACL | StructFact: Reasoning Factual Knowledge from Structured Data with Large Language Models. | Sirui Huang, Yanggan Gu, Zhonghao Li, Xuming Hu, Qing Li, Guandong Xu |
| 2025 | CIKM | SarRec: Statistically-guaranteed Augmented Retrieval for Recommendation. | Tong Zhang, Nitin Bisht, Zihao Li, Guandong Xu, Xianzhi Wang |
| 2025 | COLING | LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following. | Kaize Shi, Xueyao Sun, Dingxian Wang, Yinlin Fu, Guandong Xu, Qing Li |
| 2025 | ICML | ENSUR: Equitable and Statistically Unbiased Recommendation. | Nitin Bisht, Xiuwen Gong, Guandong Xu |
| 2025 | IJCAI | LLM-based Collaborative Agents with Pedagogy-guided Interaction Modeling for Timely Instructive Feedback Generation in Task-oriented Group Discussions. | Qihao Yang, Yu Yang, Sixu An, Tianyong Hao, Guandong Xu |
| 2025 | KES | Location-Aware Deep Neural Network for Predicting Indoor 5G RSSI and CQI Using Drone-Based External RF Sensing. | David Hason Rudd, Cesar Sann, Koh Ming En, Xingyi Gao, Md. Rafiqul Islam, Mehedi Hasan, Xianzhi Wang, Angela Huo, Guandong Xu |
| 2025 | PAKDD | Expert-Guided Toxicity Filtration for Debiased Generation. | Xueyao Sun, Kaize Shi, Haoran Tang, Guandong Xu, Qing Li |
| 2025 | SIGIR | Untitled record | Sirui Huang, Hanqian Li, Yanggan Gu, Xuming Hu, Qing Li, Guandong Xu |
| 2025 | SIGIR | Hypercomplex Knowledge Graph-Aware Recommendation. | Anchen Li, Bo Yang, Huan Huo, Farookh Hussain, Guandong Xu |
| 2025 | SANER | How to Select Pre-Trained Code Models for Reuse? A Learning Perspective. | Zhangqian Bi, Yao Wan, Zhaoyang Chu, Yufei Hu, Junyi Zhang, Hongyu Zhang, Guandong Xu, Hai Jin |
| 2024 | AAAI | Graph Reasoning Transformers for Knowledge-Aware Question Answering. | Ruilin Zhao, Feng Zhao, Liang Hu, Guandong Xu |
| 2024 | DASFAA | Enhancing Spatiotemporal Prediction with Intra- and Inter-granularity Contrastive Learning. | Qilong Han, Shanshan Sui, Dan Lu, Shiqing Wu, Guandong Xu |
| 2024 | DASFAA | Counterfactual Debasing for Multi-behavior Recommendations. | Sirui Huang, Qian Li, Xiangmeng Wang, Dianer Yu, Guandong Xu, Qing Li |
| 2024 | DASFAA | CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction. | Kaixi Hu, Lin Li, Qing Xie, Xiaohui Tao, Guandong Xu |
| 2024 | ICCE | Developing an LLM-Empowered Agent to Enhance Student Collaborative Learning Through Group Discussion. | Sixu An, Yicong Li, Yunsi Ma, Gary Cheng, Guandong Xu |
| 2024 | ICDE | Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation. | Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain, Guandong Xu |
| 2024 | ICML | Does Label Smoothing Help Deep Partial Label Learning? | Xiuwen Gong, Nitin Bisht, Guandong Xu |
| 2024 | IJCAI | KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering. | Ruilin Zhao, Feng Zhao, Long Wang, Xianzhi Wang, Guandong Xu |
| 2024 | ISSTA | Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. | Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin |
| 2024 | KDD | Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach. | Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu |
| 2024 | WWW | Challenging Low Homophily in Social Recommendation. | Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin |
| 2024 | SIGIR | Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement. | Jiaqi Deng, Kaize Shi, Huan Huo, Dingxian Wang, Guandong Xu |
| 2024 | WISE | CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels. | Abdullah Alsuhaibani, Imran Razzak, Shoaib Jameel, Xianzhi Wang, Guandong Xu |
| 2024 | WSDM | IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. | Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu |
| 2023 | AAAI | HaPPy: Harnessing the Wisdom from Multi-Perspective Graphs for Protein-Ligand Binding Affinity Prediction (Student Abstract). | Xianfeng Zhang, Yanhui Gu, Guandong Xu, Yafei Li, Jinlan Wang, Zhenglu Yang |
| 2023 | ACL | AMR-TST: Abstract Meaning Representation-based Text Style Transfer. | Kaize Shi, Xueyao Sun, Li He, Dingxian Wang, Qing Li, Guandong Xu |
| 2023 | ADMA | MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation. | Yakun Chen, Kaize Shi, Xianzhi Wang, Guandong Xu |
| 2023 | ADMA | From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. | Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu |
| 2023 | CIKM | Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. | Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin |
| 2023 | CIKM | Causality-guided Graph Learning for Session-based Recommendation. | Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu |
| 2023 | ICDE | RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation. | Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin |
| 2023 | ICDM | IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting. | Kangzheng Liu, Feng Zhao, Guandong Xu, Shiqing Wu |
| 2023 | ICDM | SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems. | Shiqing Wu, Guandong Xu, Xianzhi Wang |
| 2023 | IJCNN | Explainable exclusion in the life insurance using multi-label classifier. | Khanh-Van Nguyen, Md. Rafiqul Islam, Huan Huo, Peter Tilocca, Guandong Xu |
| 2023 | PAKDD | CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows. | Tri Dung Duong, Qian Li, Guandong Xu |
| 2023 | PAKDD | An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance. | David Hason Rudd, Huan Huo, Guandong Xu |
| 2023 | WWW | Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. | Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu |
| 2023 | SIGIR | Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. | Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin |
| 2023 | SIGIR | Dynamic Graph Evolution Learning for Recommendation. | Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li |
| 2023 | WSDM | Simplifying Graph-based Collaborative Filtering for Recommendation. | Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu |
| 2023 | WSDM | Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. | Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu |
| 2022 | ADMA | Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks. | Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu |
| 2022 | CIKM | DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning. | Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin |
| 2022 | COLING | DialMed: A Dataset for Dialogue-based Medication Recommendation. | Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen, Guandong Xu, Jian Wu |
| 2022 | EMNLP | Can Language Models Serve as Temporal Knowledge Bases? | Ruilin Zhao, Feng Zhao, Guandong Xu, Sixiao Zhang, Hai Jin |
| 2022 | ICASSP | Attentional Gated Res2net for Multivariate Time Series Classification. | Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu |
| 2022 | ICDM | Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning. | Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin |
| 2022 | ICONIP | Adaptive Graph Recurrent Network for Multivariate Time Series Imputation. | Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu |
| 2022 | ICSE | NaturalCC: An Open-Source Toolkit for Code Intelligence. | Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu |
| 2022 | ICSE | What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. | Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin |
| 2022 | PAKDD | Leveraged Mel Spectrograms Using Harmonic and Percussive Components in Speech Emotion Recognition. | David Hason Rudd, Huan Huo, Guandong Xu |
| 2022 | PAKDD | A Two-Tower Spatial-Temporal Graph Neural Network for Traffic Speed Prediction. | Yansong Shen, Lin Li, Qing Xie, Xin Li, Guandong Xu |
| 2022 | PAKDD | Semantics-Guided Disentangled Learning for Recommendation. | Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu |
| 2022 | WWW | Off-policy Learning over Heterogeneous Information for Recommendation. | Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu |
| 2022 | WWW | Dual Space Graph Contrastive Learning. | Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu |
| 2022 | WWW | Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. | Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu |
| 2022 | SIGIR | On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. | Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen |
| 2022 | SIGIR | MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations. | Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu |
| 2022 | WISE | Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction. | Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim |
| 2022 | WSDM | Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing. | Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao |
| 2021 | CIKM | Hyperbolic Hypergraphs for Sequential Recommendation. | Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu |
| 2021 | CIKM | Click-Through Rate Prediction with Multi-Modal Hypergraphs. | Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu |
| 2021 | CIKM | TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. | Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu |
| 2021 | CIKM | Causal-Aware Generative Imputation for Automated Underwriting. | Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu |
| 2021 | CVPR | Hilbert Sinkhorn Divergence for Optimal Transport. | Qian Li, Zhichao Wang, Gang Li, Jun Pang, Guandong Xu |
| 2021 | ICDM | Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. | Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu |
| 2021 | IJCNN | Stochastic Intervention for Causal Effect Estimation. | Tri Dung Duong, Qian Li, Guandong Xu |
| 2021 | IJCNN | UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System. | Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu |
| 2021 | IV | ExTraVis: Exploration of Traffic Incidents Using a Visual Interactive System. | Joshua Zerafa, Md. Rafiqul Islam, Muhammad Ashad Kabir, Guandong Xu |
| 2021 | KDD | Where are we in embedding spaces? | Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu |
| 2021 | PAKDD | C | Yu Chu, Lin Li, Qing Xie, Guandong Xu |
| 2021 | SIGIR | TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers. | Yao Wu, Jian Cao, Guandong Xu, Yudong Tan |
| 2021 | SIGIR | DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. | Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu |
| 2021 | WISE | HACK: A Hierarchical Model for Fake News Detection. | Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li, Guandong Xu |
| 2021 | WISE | Expert Recommendations with Temporal Dynamics of User Interest in CQA. | Xiaoqi Lv, Ke Ji, Zhenxiang Chen, Kun Ma, Jun Wu, Yidong Li, Guandong Xu |
| 2021 | WSDM | Temporal Meta-path Guided Explainable Recommendation. | Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin |
| 2020 | ESEM | Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning. | Yangyang Shu, Yulei Sui, Hongyu Zhang, Guandong Xu |
| 2020 | ICSOC | FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint. | Yao Wu, Jian Cao, Guandong Xu |
| 2020 | PAKDD | Joint Relational Dependency Learning for Sequential Recommendation. | Xiangmeng Wang, Qian Li, Wu Zhang, Guandong Xu, Shaowu Liu, Wenhao Zhu |
| 2020 | WWW | Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter. | Rhys Biddle, Aditya Joshi, Shaowu Liu, Ccile Paris, Guandong Xu |
| 2019 | AAAI | On Completing Sparse Knowledge Base with Transitive Relation Embedding. | Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang |
| 2019 | CVPR | Polynomial Representation for Persistence Diagram. | Zhichao Wang, Qian Li, Gang Li, Guandong Xu |
| 2019 | EMNLP | A Boundary-aware Neural Model for Nested Named Entity Recognition. | Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, Guandong Xu |
| 2019 | PRICAI | Emotion Recognition from Music Enhanced by Domain Knowledge. | Yangyang Shu, Guandong Xu |
| 2018 | ADC | Automated Underwriting in Life Insurance: Predictions and Optimisation. | Rhys Biddle, Shaowu Liu, Peter Tilocca, Guandong Xu |
| 2018 | ADC | Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach. | Ben Culbert, Bin Fu, James Brownlow, Charles Chu, Qinxue Meng, Guandong Xu |
| 2018 | DASFAA | Cost-Sensitive Churn Prediction in Fund Management Services. | James Brownlow, Charles Chu, Bin Fu, Guandong Xu, Ben Culbert, Qinxue Meng |
| 2018 | DASFAA | Client Churn Prediction with Call Log Analysis. | Nhi N. Y. Vo, Shaowu Liu, James Brownlow, Charles Chu, Ben Culbert, Guandong Xu |
| 2018 | IJCAI | Sequential Recommender System based on Hierarchical Attention Networks. | Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu |
| 2018 | IJCNN | A Multiple Source based Transfer Learning Framework for Marketing Campaigns. | James Brownlow, Charles Chu, Guandong Xu, Ben Culbert, Bin Fu, Qinxue Meng |
| 2018 | IJCNN | Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA. | Muhammad Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu |
| 2018 | PAKDD | Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter. | Zafar Saeed, Rabeeh Ayaz Abbasi, Abida Sadaf, Muhammad Imran Razzak, Guandong Xu |
| 2018 | PAKDD | Multimodal Mixture Density Boosting Network for Personality Mining. | Nhi N. Y. Vo, Shaowu Liu, Xuezhong He, Guandong Xu |
| 2018 | PAKDD | Social Spammer Detection: A Multi-Relational Embedding Approach. | Jun Yin, Zili Zhou, Shaowu Liu, Zhiang Wu, Guandong Xu |
| 2018 | PAKDD | Knowledge-Based Recommendation with Hierarchical Collaborative Embedding. | Zili Zhou, Shaowu Liu, Guandong Xu, Xing Xie, Jun Yin, Yidong Li, Wu Zhang |
| 2018 | WWW | An Effective Joint Framework for Document Summarization. | Min Gui, Zhengkun Zhang, Zhenglu Yang, Yanhui Gu, Guandong Xu |
| 2017 | DASFAA | Co-training an Improved Recurrent Neural Network with Probability Statistic Models for Named Entity Recognition. | Yueqing Sun, Lin Li, Zhongwei Xie, Qing Xie, Xin Li, Guandong Xu |
| 2017 | IJCAI | Diversifying Personalized Recommendation with User-session Context. | Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu |
| 2017 | IJCNN | Music recommendation via heterogeneous information graph embedding. | Dongjing Wang, Guandong Xu, ShuiGuang Deng |
| 2017 | IJCNN | Structure embedding for knowledge base completion and analytics. | Zili Zhou, Guandong Xu, Wenhao Zhu, Jinyan Li, Wu Zhang |
| 2017 | KSEM | Collaborative Filtering via Different Preference Structures. | Shaowu Liu, Na Pang, Guandong Xu, Huan Liu |
| 2017 | PAKDD | Exploiting Geographical Location for Team Formation in Social Coding Sites. | Yuqiang Han, Yao Wan, Liang Chen, Guandong Xu, Jian Wu |
| 2017 | WWW | An Enhanced Convolutional Neural Network Model for Answer Selection. | Jiahui Guo, Bin Yue, Guandong Xu, Zhenglu Yang, Jin-Mao Wei |
| 2017 | WWW | Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response. | Runze Wu, Guandong Xu, Enhong Chen, Qi Liu, Wan Ng |
| 2016 | DASFAA | Modeling User Mobility via User Psychological and Geographical Behaviors Towards Point of-Interest Recommendation. | Yan Chen, Xin Li, Lin Li, Guiquan Liu, Guandong Xu |
| 2016 | KSEM | CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation. | Hao Guo, Xin Li, Ming He, Xiangyu Zhao, Guiquan Liu, Guandong Xu |
| 2016 | WWW | Improving Music Recommendation Using Distributed Representation. | Dongjing Wang, ShuiGuang Deng, Songguo Liu, Guandong Xu |
| 2016 | WISE | GEMRec: A Graph-Based Emotion-Aware Music Recommendation Approach. | Dongjing Wang, ShuiGuang Deng, Guandong Xu |
| 2016 | WISE | Predicting Replacement of Smartphones with Mobile App Usage. | Dun Yang, Zhiang Wu, Xiaopeng Wang, Jie Cao, Guandong Xu |
| 2015 | CCGRID | Cloud-Based OLAP over Big Data: Application Scenarios and Performance Analysis. | Alfredo Cuzzocrea, Rim Moussa, Guandong Xu, Giorgio Mario Grasso |
| 2015 | ICDE | MARS: A multi-aspect Recommender system for Point-of-Interest. | Xin Li, Guandong Xu, Enhong Chen, Lin Li |
| 2015 | ICDM | Learning User Preferences across Multiple Aspects for Merchant Recommendation. | Xin Li, Guandong Xu, Enhong Chen, Lin Li |
| 2015 | IIWAS | OLAP-enabled web search of complex objects. | Alfredo Cuzzocrea, Guandong Xu, Giorgio Mario Grasso |
| 2015 | KSEM | Hashtag Biased Ranking for Keyword Extraction from Microblog Posts. | Lin Li, Chang Su, Yueqing Sun, Shengwu Xiong, Guandong Xu |
| 2015 | PAKDD | Coupling Multiple Views of Relations for Recommendation. | Bin Fu, Guandong Xu, Longbing Cao, Zhihai Wang, Zhiang Wu |
| 2015 | PAKDD | Coupled Matrix Factorization Within Non-IID Context. | Fangfang Li, Guandong Xu, Longbing Cao |
| 2014 | AAAI | Deep Modeling of Group Preferences for Group-Based Recommendation. | Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Wei Cao |
| 2014 | AAAI | Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach. | Nian Liu, Lin Li, Guandong Xu, Zhenglu Yang |
| 2014 | BigData | The Application of Cartesian-Join of Bloom Filters to Supporting Membership Query of Multidimensional Data. | Zhu Wang, Tiejian Luo, Guandong Xu, Xiang Wang |
| 2014 | DSAA | A confidence-based entity resolution approach with incomplete information. | Qi Gu, Yan Zhang, Jian Cao, Guandong Xu, Alfredo Cuzzocrea |
| 2014 | ICCSA | Towards a Framework for Supporting Web Search of Complex Objects via Multidimensional Paradigms. | Alfredo Cuzzocrea, Guandong Xu |
| 2014 | ICDM | Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages. | Liang Hu, Wei Cao, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu |
| 2014 | ICDM | Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval. | Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Jianhui Li, Yuanchun Zhou, Hui Xiong |
| 2014 | IJCNN | Mining user tasks from print logs. | Xin Li, Lei Zhang, Ping Luo, Enhong Chen, Guandong Xu, Yu Zong, Chu Guan |
| 2014 | WISE | Coupled Item-Based Matrix Factorization. | Fangfang Li, Guandong Xu, Longbing Cao |
| 2013 | ADMA | Mining Frequent Patterns in Print Logs with Semantically Alternative Labels. | Xin Li, Lei Zhang, Enhong Chen, Yu Zong, Guandong Xu |
| 2013 | APWEB | Leveraging Visual Features and Hierarchical Dependencies for Conference Information Extraction. | Yue You, Guandong Xu, Jian Cao, Yanchun Zhang, Guangyan Huang |
| 2013 | DASFAA | Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers. | Liang Wu, Alvin Chin, Guandong Xu, Liang Du, Xia Wang, Kangjian Meng, Yonggang Guo, Yuanchun Zhou |
| 2013 | ICDM | Leveraging Supervised Label Dependency Propagation for Multi-label Learning. | Bin Fu, Guandong Xu, Zhihai Wang, Longbing Cao |
| 2013 | IJCAI | Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis. | Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Gu, Longbing Cao |
| 2013 | MEDI | OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data. | Alfredo Cuzzocrea, Rim Moussa, Guandong Xu |
| 2013 | PAKDD | Suggestions for Fresh Search Queries by Mining Mircoblog Topics. | Lin Li, Xing Chen, Guandong Xu |
| 2013 | WWW | Personalized recommendation via cross-domain triadic factorization. | Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Can Zhu |
| 2013 | WISE | CGMF: Coupled Group-Based Matrix Factorization for Recommender System. | Fangfang Li, Guandong Xu, Longbing Cao, Xiaozhong Fan, Zhendong Niu |
| 2013 | WISE | Community Detection in Multi-relational Social Networks. | Zhiang Wu, Wenpeng Yin, Jie Cao, Guandong Xu, Alfredo Cuzzocrea |
| 2013 | SACMAT | Private data warehouse queries. | Xun Yi, Russell Paulet, Elisa Bertino, Guandong Xu |
| 2012 | AAAI | Recommending Related Microblogs: A Comparison Between Topic and WordNet based Approaches. | Xing Chen, Lin Li, Guandong Xu, Zhenglu Yang, Masaru Kitsuregawa |
| 2012 | ADMA | A MapReduce-Based Parallel Clustering Algorithm for Large Protein-Protein Interaction Networks. | Li Liu, Dangping Fan, Ming Liu, Guandong Xu, Shiping Chen, Yuan Zhou, Xiwei Chen, Qianru Wang, Yufeng Wei |
| 2012 | DASFAA | Finding Related Micro-blogs Based on WordNet. | Lin Li, Huifan Xiao, Guandong Xu |
| 2012 | DASFAA | On Smart and Accurate Contextual Advertising. | Guandong Xu, Zongda Wu |
| 2012 | IJCNN | A projective clustering algorithm based on significant local dense areas. | Yu Zong, Guandong Xu, Ping Jin, Xun Yi, Enhong Chen, Zongda Wu |
| 2012 | KES | Latent Informative Links Detection. | Liang Hu, Jian Cao, Guandong Xu, Zhiping Gu |
| 2012 | PAKDD | Learning Tree Structure of Label Dependency for Multi-label Learning. | Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu, Peter Dolog |
| 2011 | AAAI | SemRec: A Semantic Enhancement Framework for Tag Based Recommendation. | Guandong Xu, Yanhui Gu, Peter Dolog, Yanchun Zhang, Masaru Kitsuregawa |
| 2011 | ADMA | APPECT: An Approximate Backbone-Based Clustering Algorithm for Tags. | Yu Zong, Guandong Xu, Ping Jin, Yanchun Zhang, Enhong Chen, Rong Pan |
| 2011 | CIKM | Leveraging Wikipedia concept and category information to enhance contextual advertising. | Zongda Wu, Guandong Xu, Rong Pan, Yanchun Zhang, Zhiwen Hu, Jianfeng Lu |
| 2011 | DASC | Incorporating Sentiment Analysis for Improved Tag-Based Recommendation. | Qingbiao Zhou, Jie Fang, Guandong Xu |
| 2011 | DASFAA | A Local Information Passing Clustering Algorithm for Tagging Systems. | Yu Zong, Guandong Xu, Ping Jin, Peter Dolog, Shan Jiang |
| 2011 | KES | On Kernel Information Propagation for Tag Clustering in Social Annotation Systems. | Guandong Xu, Yu Zong, Rong Pan, Peter Dolog, Ping Jin |
| 2011 | WISE | TOAST: A Topic-Oriented Tag-Based Recommender System. | Guandong Xu, Yanhui Gu, Yanchun Zhang, Zhenglu Yang, Masaru Kitsuregawa |
| 2010 | ADC | A framework of data integration, knowledge management and user behaviour modelling in healthcare applications of diabetes. | Yanchun Zhang, Guandong Xu, Liping Wang, Kerry Bennett |
| 2010 | DASFAA | SNSMW 2010 Workshop Organizers' Message. | Yoshinori Hijikata, Guandong Xu |
| 2010 | KES | Co-clustering Analysis of Weblogs Using Bipartite Spectral Projection Approach. | Guandong Xu, Yu Zong, Peter Dolog, Yanchun Zhang |
| 2010 | WISE | Co-clustering for Weblogs in Semantic Space. | Yu Zong, Guandong Xu, Peter Dolog, Yanchun Zhang, Renjin Liu |
| 2009 | WISE | Enhancing Web Search by Aggregating Results of Related Web Queries. | Lin Li, Guandong Xu, Yanchun Zhang, Masaru Kitsuregawa |
| 2008 | APWEB | Support Vector Machine for Outlier Detection in Breast Cancer Survivability Prediction. | Jaree Thongkam, Guandong Xu, Yanchun Zhang, Fuchun Huang |
| 2008 | IJCNN | AdaBoost algorithm with random forests for predicting breast cancer survivability. | Jaree Thongkam, Guandong Xu, Yanchun Zhang |
| 2006 | ADC | Discovering task-oriented usage pattern for web recommendation. | Guandong Xu, Yanchun Zhang, Xiaofang Zhou |
| 2006 | ADMA | Mining Gait Pattern for Clinical Locomotion Diagnosis Based on Clustering Techniques. | Guandong Xu, Yanchun Zhang, Rezaul K. Begg |
| 2005 | ADC | Discovering User Access Pattern Based on Probabilistic Latent Factor Model. | Guandong Xu, Yanchun Zhang, Jiangang Ma, Xiaofang Zhou |
| 2005 | ADMA | A Latent Usage Approach for Clustering Web Transaction and Building User Profile. | Yanchun Zhang, Guandong Xu, Xiaofang Zhou |
| 2005 | WISE | A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis. | Guandong Xu, Yanchun Zhang, Xiaofang Zhou |