default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGuandong Xu
Person information
- affiliation: Education University of Hong Kong, Centre for Learning, Teaching & Technology, Ting Kok, Hong Kong
- affiliation (former): University of Technology Sydney, School of Computer Science and Data Science, Advanced Analytics Institute, Sydney, Australia
- affiliation (former): Aalborg University, Department of Computer Science, Aalborg, Denmark
- affiliation (PhD 2009): Victoria University, Melbourne, Australia
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j192]Shuzheng Gao
, Chaozheng Wang, Cuiyun Gao, Wenjian Luo, Peiyi Han, Qing Liao, Guandong Xu:
Improving long-tail classification via decoupling and regularisation. CAAI Trans. Intell. Technol. 10(1): 62-71 (2025)- [j191]Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Michael Sheng:
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. ACM Comput. Surv. 57(2): 40:1-40:37 (2025) - [j190]Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guandong Xu:
Large language models are few-shot multivariate time series classifiers. Data Min. Knowl. Discov. 39(5): 66 (2025) - [j189]Haoran Tang, Xueyao Sun, Shiqing Wu, Zhihong Cui, Guandong Xu, Qing Li:
DyBooster: Leveraging large language model as booster for dynamic recommendation. Expert Syst. Appl. 286: 128080 (2025) - [j188]Chao Yang, Yakun Chen, Zihao Li, Xianzhi Wang, Kaize Shi, Lina Yao, Guandong Xu, Zhongwen Guo:
Deep multimodal learning for time series analysis in social computing: a survey. Int. J. Multim. Inf. Retr. 14(2): 15 (2025) - [j187]Jiangnan Tang, Huanhuan Gu, Darko B. Vukovic, Guandong Xu, Youquan Wang, Haicheng Tao, Jie Cao:
Fraud detection in multi-relation graph: Contrastive Learning on Feature and Structural Levels. Neurocomputing 637: 130063 (2025) - [j186]Dan Lu, Shiqing Wu, Hao Zhang, Guandong Xu, Qilong Han:
Causal cascading convolution networks for multi-behavior sequential recommendation. Inf. Sci. 720: 122484 (2025) - [j185]Zongda Wu, Guoqi Lin, Huawen Liu, Jian Xie, Guandong Xu, Enhong Chen, Gang Li:
How to Protect of Reader Preference Privacy in Mobile Book Information Services: A Technical Method. ACM J. Data Inf. Qual. 17(3): 13:1-13:23 (2025) - [j184]Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain, Guandong Xu:
Self-supervised dual graph learning for recommendation. Knowl. Based Syst. 310: 112967 (2025) - [j183]Dongjing Wang, Haojiang Yao, Dongjin Yu, Shiyu Song, He Weng, Guandong Xu, Shuiguang Deng:
Graph Intention Embedding Neural Network for tag-aware recommendation. Neural Networks 184: 107062 (2025) - [j182]Zhaoquan Gu, Guandong Xu, Ning Hu:
Preface: Security and safety in network simulation and evaluation. Secur. Saf. 4: 2025004 (2025) - [j181]Wenna Lai, Haoran Xie, Guandong Xu, Qing Li:
RVISA: Reasoning and Verification for Implicit Sentiment Analysis. IEEE Trans. Affect. Comput. 16(3): 1760-1771 (2025) - [j180]Dongjing Wang, Gangming Guo, Tianpei OuYang, Dongjin Yu, Haiping Zhang, Bao Li, Rong Jiang, Guandong Xu, Shuiguang Deng:
A Lightweight Spatio-Temporal Neural Network With Sampling-Based Time Series Decomposition for Traffic Forecasting. IEEE Trans. Intell. Transp. Syst. 26(6): 8682-8693 (2025) - [j179]Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu:
A Causal-Based Attribute Selection Strategy for Conversational Recommender Systems. IEEE Trans. Knowl. Data Eng. 37(5): 2169-2182 (2025) - [j178]Haoran Tang, Shiqing Wu, Zhihong Cui, Yicong Li, Guandong Xu, Qing Li:
Model-Agnostic Dual-Side Online Fairness Learning for Dynamic Recommendation. IEEE Trans. Knowl. Data Eng. 37(5): 2727-2742 (2025) - [j177]Xueyao Sun, Kaize Shi, Haoran Tang, Dingxian Wang, Guandong Xu, Qing Li:
Educating Language Models as Promoters: Multi-Aspect Instruction Alignment With Self-Augmentation. IEEE Trans. Knowl. Data Eng. 37(8): 4564-4577 (2025) - [j176]Dianer Yu, Qian Li, Sirui Huang, Jie Cao, Guandong Xu:
Large Language Models Meet Causal Inference: Semantic-Rich Dual Propensity Score for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 37(11): 6494-6505 (2025) - [j175]Jiahui Jin, Yi Hong, Guandong Xu, Jinghui Zhang, Jun Tang, Hancheng Wang:
An Event-Centric Framework for Predicting Crime Hotspots With Flexible Time Intervals. IEEE Trans. Knowl. Data Eng. 37(12): 6902-6915 (2025) - [j174]Qian Li, Zhichao Wang, Haiyang Xia, Gang Li, Yanan Cao, Lina Yao, Guandong Xu:
HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4371-4384 (2025) - [j173]Haoran Tang, Shiqing Wu, Xueyao Sun, Jun Zeng, Guandong Xu, Qing Li:
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation. ACM Trans. Inf. Syst. 43(1): 5:1-5:27 (2025) - [j172]Qiqi Cai, Jian Cao, Guandong Xu, Nengjun Zhu:
Distributed Recommendation Systems: Survey and Research Directions. ACM Trans. Inf. Syst. 43(1): 10:1-10:38 (2025) - [j171]Xixun Lin, Rui Liu, Yanan Cao, Lixin Zou, Qian Li, Yongxuan Wu, Yang Liu, Dawei Yin, Guandong Xu:
Contrastive Modality-Disentangled Learning for Multimodal Recommendation. ACM Trans. Inf. Syst. 43(3): 70:1-70:31 (2025) - [j170]Sirui Huang, Qian Li, Haoran Yang, Dianer Yu, Qing Li, Guandong Xu:
Causal Time-aware News Recommendations with Large Language Models. ACM Trans. Inf. Syst. 43(6): 147:1-147:25 (2025) - [j169]Yuzhe Chen, Jie Cao, Youquan Wang, Jia Wu, Huanhuan Chen, Guandong Xu:
Causal Variational Inference for Deconfounded Multi-Behavior Recommendation. ACM Trans. Inf. Syst. 43(6): 151:1-151:26 (2025) - [j168]Dianer Yu, Qian Li, Huan Huo, Guandong Xu:
Breaking the Loop: Causal Learning to Mitigate Echo Chambers in Social Networks. ACM Trans. Inf. Syst. 43(6): 163:1-163:27 (2025) - [j167]Dongjin Yu, Gangming Guo, Dongjing Wang, Tianpei OuYang, Feng Wan, Jitao Liu, Guandong Xu, Shuiguang Deng:
Dynamic Spatial-Temporal Graph Convolution Network for E-Bike Traffic Flow Forecasting. IEEE Trans. Veh. Technol. 74(4): 5453-5466 (2025) - [j166]Zhengyang Wu, Yuqi Liu, Jianwei Cen, Zetao Zheng, Guandong Xu:
A cross-domain knowledge tracing model based on graph optimal transport. World Wide Web (WWW) 28(1): 10 (2025) - [c238]Chaowei Zhang, Zongling Feng, Zewei Zhang, Jipeng Qiang, Guandong Xu, Yun Li:
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection. AAAI 2025: 1031-1039 - [c237]Nitin Bisht, Xiuwen Gong, Guandong Xu:
CUGF: A Reliable and Fair Recommendation Framework. AAAI 2025: 11445-11453 - [c236]Xiuwen Gong, Nitin Bisht, Guandong Xu:
Conformal Prediction for Partial Label Learning. AAAI 2025: 16862-16870 - [c235]Sirui Huang, Yanggan Gu, Zhonghao Li, Xuming Hu, Qing Li, Guandong Xu:
StructFact: Reasoning Factual Knowledge from Structured Data with Large Language Models. ACL (Findings) 2025: 7521-7552 - [c234]Tong Zhang, Nitin Bisht, Zihao Li, Guandong Xu, Xianzhi Wang:
SarRec: Statistically-guaranteed Augmented Retrieval for Recommendation. CIKM 2025: 4181-4190 - [c233]Kaize Shi, Xueyao Sun, Dingxian Wang, Yinlin Fu, Guandong Xu, Qing Li:
LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following. COLING 2025: 870-885 - [c232]Nitin Bisht, Xiuwen Gong, Guandong Xu:
ENSUR: Equitable and Statistically Unbiased Recommendation. ICML 2025 - [c231]Qihao Yang, Yu Yang, Sixu An, Tianyong Hao, Guandong Xu:
LLM-based Collaborative Agents with Pedagogy-guided Interaction Modeling for Timely Instructive Feedback Generation in Task-oriented Group Discussions. IJCAI 2025: 9972-9980 - [c230]Xueyao Sun, Kaize Shi, Haoran Tang, Guandong Xu, Qing Li:
Expert-Guided Toxicity Filtration for Debiased Generation. PAKDD (4) 2025: 115-127 - [c229]Guiming Cao, Zonghan Wu, Huan Huo, Yuming Ou, Guandong Xu:
Self-generated Cross-Modal Prompt Tuning. ECML/PKDD (3) 2025: 369-386 - [c228]Zhangqian Bi, Yao Wan, Zhaoyang Chu, Yufei Hu, Junyi Zhang, Hongyu Zhang, Guandong Xu, Hai Jin:
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective. SANER 2025: 1-12 - [c227]Sirui Huang, Hanqian Li, Yanggan Gu, Xuming Hu, Qing Li, Guandong Xu:
HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge. SIGIR 2025: 1218-1228 - [c226]Anchen Li, Bo Yang, Huan Huo, Farookh Hussain, Guandong Xu:
Hypercomplex Knowledge Graph-Aware Recommendation. SIGIR 2025: 2017-2026 - [i95]Zhangqian Bi, Yao Wan, Zhaoyang Chu, Yufei Hu, Junyi Zhang, Hongyu Zhang, Guandong Xu, Hai Jin:
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective. CoRR abs/2501.03783 (2025) - [i94]Wenna Lai, Haoran Xie, Guandong Xu, Qing Li:
STAR: Stepwise Task Augmentation and Relation Learning for Aspect Sentiment Quad Prediction. CoRR abs/2501.16093 (2025) - [i93]Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guandong Xu:
Large Language Models are Few-shot Multivariate Time Series Classifiers. CoRR abs/2502.00059 (2025) - [i92]Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu:
From Occupations to Tasks: A New Perspective on Automatability Prediction Using BERT. CoRR abs/2502.09021 (2025) - [i91]Sirui Huang, Hanqian Li, Yanggan Gu, Xuming Hu, Qing Li, Guandong Xu:
HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge. CoRR abs/2502.18125 (2025) - [i90]Chaowei Zhang, Zongling Feng, Zewei Zhang, Jipeng Qiang, Guandong Xu, Yun Li:
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection. CoRR abs/2503.09153 (2025) - [i89]Jiaqi Deng, Kaize Shi, Zonghan Wu, Huan Huo, Dingxian Wang, Guandong Xu:
UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training. CoRR abs/2504.04065 (2025) - [i88]Jiaqi Deng, Zonghan Wu, Huan Huo, Guandong Xu:
A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning Task. CoRR abs/2504.17547 (2025) - [i87]Wenna Lai, Haoran Xie, Guandong Xu, Qing Li, S. Joe Qin:
When LLMs Team Up: The Emergence of Collaborative Affective Computing. CoRR abs/2506.01698 (2025) - [i86]Zihao Li, Chao Yang, Tong Zhang, Yakun Chen, Xianzhi Wang, Guandong Xu, Daoyi Dong:
Listwise Preference Alignment Optimization for Tail Item Recommendation. CoRR abs/2507.02255 (2025) - [i85]Shouxing Ma, Yawen Zeng, Shiqing Wu, Guandong Xu:
Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation. CoRR abs/2508.13745 (2025) - [i84]Jing Long, Sirui Huang, Huan Huo, Tong Chen, Hongzhi Yin, Guandong Xu:
Cloud-Device Collaborative Agents for Sequential Recommendation. CoRR abs/2509.01551 (2025) - [i83]Basad Barajeeh, Ala Yankouskaya, Sameha Alshakhsi, Chun Sing Maxwell Ho, Guandong Xu, Raian Ali:
Developing and Validating the Arabic Version of the Attitudes Toward Large Language Models Scale. CoRR abs/2510.13009 (2025) - 2024
- [j165]Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu:
Natural language interactions enhanced by data visualization to explore insurance claims and manage risk. Ann. Oper. Res. 339(3): 1569-1587 (2024) - [j164]Li He, Kaize Shi, Dingxian Wang, Xianzhi Wang, Guandong Xu:
A topic-controllable keywords-to-text generator with knowledge base network. CAAI Trans. Intell. Technol. 9(3): 585-594 (2024) - [j163]Shanshan Sui, Qilong Han, Dan Lu, Shiqing Wu, Guandong Xu:
A novel complex network prediction method based on multi-granularity contrastive learning. CCF Trans. Pervasive Comput. Interact. 6(4): 394-405 (2024) - [j162]Hadeel Alhosaini, Sultan Alharbi, Xianzhi Wang, Guandong Xu:
API Recommendation For Mashup Creation: A Comprehensive Survey. Comput. J. 67(5): 1920-1940 (2024) - [j161]Yao Wan, Zhangqian Bi, Yang He, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu:
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. ACM Comput. Surv. 56(12): 309:1-309:41 (2024) - [j160]Yakun Chen, Ruotong Hu, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu:
Exploring explicit and implicit graph learning for multivariate time series imputation. Eng. Appl. Artif. Intell. 127(Part A): 107217 (2024) - [j159]Tri Dung Duong, Qian Li, Guandong Xu:
Achieving counterfactual fairness with imperfect structural causal model. Expert Syst. Appl. 240: 122411 (2024) - [j158]Dongjin Yu, Gangming Guo, Dongjing Wang, Haiping Zhang, Bao Li, Guandong Xu, Shuiguang Deng:
Modeling dynamic spatio-temporal correlations and transitions with time window partitioning for traffic flow prediction. Expert Syst. Appl. 252: 124187 (2024) - [j157]Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu:
Dyformer: A dynamic transformer-based architecture for multivariate time series classification. Inf. Sci. 656: 119881 (2024) - [j156]Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Qing Li, Guandong Xu:
Neural Causal Graph collaborative filtering. Inf. Sci. 677: 120872 (2024) - [j155]Md. Rafiqul Islam, Shanjita Akter, Linta Islam, Imran Razzak, Xianzhi Wang, Guandong Xu:
Strategies for evaluating visual analytics systems: A systematic review and new perspectives. Inf. Vis. 23(1): 84-101 (2024) - [j154]Pan Gu, Haiyang Hu, Guandong Xu:
Modeling multi-behavior sequence via HyperGRU contrastive network for micro-video recommendation. Knowl. Based Syst. 295: 111841 (2024) - [j153]Tri Dung Duong, Qian Li, Guandong Xu:
Causality-based counterfactual explanation for classification models. Knowl. Based Syst. 300: 112200 (2024) - [j152]Zihao Li, Yakun Chen, Xianzhi Wang, Lina Yao, Guandong Xu:
Multi-view GCN for loan default risk prediction. Neural Comput. Appl. 36(20): 12149-12162 (2024) - [j151]Pan Gu, Haiyang Hu, Dongjing Wang, Dongjin Yu, Guandong Xu:
Temporal Diversity-Aware Micro-Video Recommendation with Long- and Short-Term Interests Modeling. Neural Process. Lett. 56(3): 194 (2024) - [j150]Yang Wu, Yao Wan, Hongyu Zhang, Yulei Sui, Wucai Wei, Wei Zhao, Guandong Xu, Hai Jin:
Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study. Proc. ACM Manag. Data 2(3): 115 (2024) - [j149]Zhihong Cui, Xiangguo Sun, Hongxu Chen, Li Pan, Lizhen Cui, Shijun Liu, Guandong Xu:
Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve. IEEE Trans. Comput. Soc. Syst. 11(2): 2755-2764 (2024) - [j148]Imran Razzak, Mohamed Reda Bouadjenek, Muhammad Aamir Cheema, Ibrahim A. Hameed, Guandong Xu, Amin Beheshti:
Guest Editorial: Special Issue on Generating Human Readable Explanations in NLP. IEEE Trans. Comput. Soc. Syst. 11(4): 4552-4555 (2024) - [j147]Dongjin Yu, Xingliang Wang, Yu Xiong, Xudong Shen, Runze Wu, Dongjing Wang, Zhene Zou, Guandong Xu:
MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games. ACM Trans. Intell. Syst. Technol. 15(4): 85:1-85:23 (2024) - [j146]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic. IEEE J. Biomed. Health Informatics 28(4): 1815-1823 (2024) - [j145]Yao Wu, Jian Cao, Guandong Xu:
Fairness in Recommender Systems: Evaluation Approaches and Assurance Strategies. ACM Trans. Knowl. Discov. Data 18(1): 10:1-10:37 (2024) - [j144]Dianer Yu, Qian Li, Xiangmeng Wang, Qing Li, Guandong Xu:
Counterfactual Explainable Conversational Recommendation. IEEE Trans. Knowl. Data Eng. 36(6): 2388-2400 (2024) - [j143]Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu:
Reinforced Path Reasoning for Counterfactual Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36(7): 3443-3459 (2024) - [j142]Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu:
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36(9): 4458-4471 (2024) - [j141]Haoran Yang, Yuhao Wang, Xiangyu Zhao, Hongxu Chen, Hongzhi Yin, Qing Li, Guandong Xu:
Multi-Level Graph Knowledge Contrastive Learning. IEEE Trans. Knowl. Data Eng. 36(12): 8829-8841 (2024) - [j140]Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu:
Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment. IEEE Trans. Multim. 26: 4086-4096 (2024) - [j139]Yao Wu, Jian Cao, Guandong Xu:
FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems. ACM Trans. Inf. Syst. 42(1): 5:1-5:26 (2024) - [j138]Dongjing Wang, Xin Zhang, Yuyu Yin, Dongjin Yu, Guandong Xu, Shuiguang Deng:
Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation. ACM Trans. Inf. Syst. 42(1): 16:1-16:30 (2024) - [j137]Kaixi Hu, Lin Li, Qing Xie, Jianquan Liu, Xiaohui Tao, Guandong Xu:
Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics. ACM Trans. Inf. Syst. 42(3): 72:1-72:35 (2024) - [j136]Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu:
Counterfactual Explanation for Fairness in Recommendation. ACM Trans. Inf. Syst. 42(4): 106:1-106:30 (2024) - [j135]Shaohua Wan, Yi Jin, Guandong Xu, Michele Nappi:
Editorial to Special Issue on Multimedia Cognitive Computing for Intelligent Transportation System. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 32:1-32:2 (2024) - [j134]Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu:
Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation. Trans. Recomm. Syst. 2(4): 29:1-29:27 (2024) - [j133]Dongjing Wang, Ruijie Du, Qimeng Yang, Dongjin Yu, Feng Wan, Xiaojun Gong, Guandong Xu, Shuiguang Deng:
Category-aware self-supervised graph neural network for session-based recommendation. World Wide Web (WWW) 27(5): 61 (2024) - [c225]Ruilin Zhao, Feng Zhao, Liang Hu, Guandong Xu:
Graph Reasoning Transformers for Knowledge-Aware Question Answering. AAAI 2024: 19652-19660 - [c224]Shiqing Wu, Guandong Xu:
Learning Influential Relationships for Implicit Influence Maximization in Unknown Networks. BESC 2024: 1-7 - [c223]Chengtao Cai, Xiaohui Tao, Jian Cao, Qilong Han, Guandong Xu:
Preface. BESC 2024: 1 - [c222]Chengtao Cai, Xiaohui Tao, Jian Cao, Qilong Han, Guandong Xu:
Welcome Message. BESC 2024: 1-2 - [c221]Bavly Hanna, Guandong Xu, Xianzhi Wang, Md. Jahangir Hossain:
Leveraging Artificial Intelligence for Affordable and Clean Energy: Advancing UN Sustainable Development Goal 7. BESC 2024: 1-9 - [c220]Md Rafiqul Islam, Thanh Thao Lam Nguyen, Shanjita Akter Prome, Md. Kowsar Hossain Sakib, Cesar Sanín, Guandong Xu, Weidong Huang:
Exclusion Vis: A Visual Interactive System for Exclusion Analysis in Life Insurance Using Machine Learning Techniques. BESC 2024: 1-7 - [c219]Dan Lu, Xu Chen, Rui Chen, Shiqing Wu, Guandong Xu:
Fairness-Aware Mutual Information for Multimodal Recommendation. BESC 2024: 1-9 - [c218]Dan Lu, Hao Zhang, Lijie Li, Shiqing Wu, Guandong Xu:
Cascading Hypergraph Convolution Networks for Multi-Behavior Sequential Recommendation. BESC 2024: 1-7 - [c217]David Hason Rudd, Xingyi Gao, Md Rafiqul Islam, Huan Huo, Guandong Xu:
Speech Emotion Recognition Using Mel Spectrogram HPCA and Variational Mode Decomposition. BESC 2024: 1-7 - [c216]Shanshan Sui, Qilong Han, Dan Lu, Shiqing Wu, Guandong Xu:
Enhancing Traffic Prediction via Spatial Multi-Granularity Co-Evolving Mechanism. BESC 2024: 1-8 - [c215]Kaixi Hu, Lin Li, Qing Xie, Xiaohui Tao, Guandong Xu:
CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction. DASFAA (7) 2024: 104-120 - [c214]Sirui Huang, Qian Li, Xiangmeng Wang, Dianer Yu, Guandong Xu, Qing Li:
Counterfactual Debasing for Multi-behavior Recommendations. DASFAA (3) 2024: 164-179 - [c213]Qilong Han, Shanshan Sui, Dan Lu, Shiqing Wu, Guandong Xu:
Enhancing Spatiotemporal Prediction with Intra- and Inter-granularity Contrastive Learning. DASFAA (2) 2024: 195-210 - [c212]Sixu An, Yicong Li, Yunsi Ma, Gary Cheng, Guandong Xu:
Developing an LLM-Empowered Agent to Enhance Student Collaborative Learning Through Group Discussion. ICCE 2024 - [c211]Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain, Guandong Xu:
Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation. ICDE 2024: 544-556 - [c210]Xiuwen Gong, Nitin Bisht, Guandong Xu:
Does Label Smoothing Help Deep Partial Label Learning? ICML 2024 - [c209]Ruilin Zhao, Feng Zhao, Long Wang, Xianzhi Wang, Guandong Xu:
KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering. IJCAI 2024: 6642-6650 - [c208]Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. ISSTA 2024: 389-401 - [c207]Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu:
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach. KDD 2024: 1701-1712 - [c206]Kangzheng Liu, Feng Zhao, Yu Yang, Guandong Xu:
DySarl: Dynamic Structure-Aware Representation Learning for Multimodal Knowledge Graph Reasoning. ACM Multimedia 2024: 8247-8256 - [c205]Jiaqi Deng, Kaize Shi, Huan Huo, Dingxian Wang, Guandong Xu:
Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement. SIGIR 2024: 2870-2874 - [c204]Abdullah Alsuhaibani, Imran Razzak, Shoaib Jameel, Xianzhi Wang, Guandong Xu:
CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels. WISE (4) 2024: 60-75 - [c203]Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. WSDM 2024: 18-27 - [c202]Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin:
Challenging Low Homophily in Social Recommendation. WWW 2024: 3476-3484 - [i82]Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu:
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. CoRR abs/2401.00288 (2024) - [i81]Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. CoRR abs/2401.04025 (2024) - [i80]Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu:
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation. CoRR abs/2401.05744 (2024) - [i79]Guiming Cao, Kaize Shi, Hong Fu, Huaiwen Zhang, Guandong Xu:
APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning. CoRR abs/2401.06827 (2024) - [i78]Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin:
Challenging Low Homophily in Social Recommendation. CoRR abs/2401.14606 (2024) - [i77]Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu:
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation. CoRR abs/2402.11558 (2024) - [i76]Kaixi Hu, Lin Li, Qing Xie, Xiaohui Tao, Guandong Xu:
CrimeAlarm: Towards Intensive Intent Dynamics in Fine-grained Crime Prediction. CoRR abs/2404.06756 (2024) - [i75]Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. CoRR abs/2404.15687 (2024) - [i74]Yang Wu, Yao Wan, Hongyu Zhang, Yulei Sui, Wucai Wei, Wei Zhao, Guandong Xu, Hai Jin:
Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study. CoRR abs/2404.17136 (2024) - [i73]Kaize Shi, Xueyao Sun, Qing Li, Guandong Xu:
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation. CoRR abs/2405.03085 (2024) - [i72]Xueyao Sun, Kaize Shi, Haoran Tang, Guandong Xu, Qing Li:
Expert-Guided Extinction of Toxic Tokens for Debiased Generation. CoRR abs/2405.19299 (2024) - [i71]Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu:
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach. CoRR abs/2406.13201 (2024) - [i70]Wenna Lai, Haoran Xie, Guandong Xu, Qing Li:
RVISA: Reasoning and Verification for Implicit Sentiment Analysis. CoRR abs/2407.02340 (2024) - [i69]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
NarrationDep: Narratives on Social Media For Automatic Depression Detection. CoRR abs/2407.17174 (2024) - [i68]Sirui Huang, Yanggan Gu, Xuming Hu, Zhonghao Li, Qing Li, Guandong Xu:
Reasoning Factual Knowledge in Structured Data with Large Language Models. CoRR abs/2408.12188 (2024) - [i67]Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Quan Z. Sheng:
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. CoRR abs/2408.14851 (2024) - [i66]Haoran Yang, Xiangyu Zhao, Sirui Huang, Qing Li, Guandong Xu:
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning. CoRR abs/2409.01145 (2024) - [i65]Sixu An, Xiangguo Sun, Yicong Li, Yu Yang, Guandong Xu:
Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation. CoRR abs/2411.00813 (2024) - [i64]Jiahui Jin, Yi Hong, Guandong Xu, Jinghui Zhang, Jun Tang, Hancheng Wang:
An Event-centric Framework for Predicting Crime Hotspots with Flexible Time Intervals. CoRR abs/2411.01134 (2024) - [i63]Wenna Lai, Haoran Xie, Guandong Xu, Qing Li:
Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning. CoRR abs/2412.09046 (2024) - 2023
- [j132]Wu He, Guandong Xu, Imran Razzak:
Social responses to the COVID-19 pandemic. Behav. Inf. Technol. 42(2): 171-173 (2023) - [j131]Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu:
Deconfounded recommendation via causal intervention. Neurocomputing 529: 128-139 (2023) - [j130]Xingliang Wang, Dongjing Wang, Dongjin Yu, Runze Wu, Qimeng Yang, Shuiguang Deng, Guandong Xu:
Intent-aware Graph Neural Network for Point-of-Interest embedding and recommendation. Neurocomputing 557: 126734 (2023) - [j129]Abdul Matin, Md. Rafiqul Islam, Xianzhi Wang, Huan Huo, Guandong Xu:
AIoT for sustainable manufacturing: Overview, challenges, and opportunities. Internet Things 24: 100901 (2023) - [j128]Zhihong Cui, Xiangguo Sun, Li Pan, Shijun Liu, Guandong Xu:
Event-based incremental recommendation via factors mixed Hawkes process. Inf. Sci. 639: 119007 (2023) - [j127]Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu:
Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning. Inf. Sci. 648: 119552 (2023) - [j126]Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu:
Attentional Gated Res2Net for Multivariate Time Series Classification. Neural Process. Lett. 55(2): 1371-1395 (2023) - [j125]Zongda Wu, Jian Xie, Shigen Shen, Chongze Lin, Guandong Xu, Enhong Chen:
A Confusion Method for the Protection of User Topic Privacy in Chinese Keyword-based Book Retrieval. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(5): 146:1-146:19 (2023) - [j124]Li He, Guandong Xu, Shoaib Jameel, Xianzhi Wang, Hongxu Chen:
Graph-Aware Deep Fusion Networks for Online Spam Review Detection. IEEE Trans. Comput. Soc. Syst. 10(5): 2557-2565 (2023) - [j123]Abdul Rehman Javed, Imran Razzak, Guandong Xu:
Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks. IEEE J. Biomed. Health Informatics 27(2): 684-690 (2023) - [j122]Imran Razzak, Muhammad Khuram Khan, Guandong Xu, Fahmi Khalifa:
Guest Editorial Open and Interpretable AI in Computational Pathology. IEEE J. Biomed. Health Informatics 27(4): 1657-1660 (2023) - [j121]Qian Li, Xiangmeng Wang, Zhichao Wang, Guandong Xu:
Be Causal: De-Biasing Social Network Confounding in Recommendation. ACM Trans. Knowl. Discov. Data 17(1): 14:1-14:23 (2023) - [j120]Anchen Li, Bo Yang, Huan Huo, Hongxu Chen, Guandong Xu, Zhen Wang:
Hyperbolic Neural Collaborative Recommender. IEEE Trans. Knowl. Data Eng. 35(9): 9114-9127 (2023) - [j119]Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu:
Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 9836-9849 (2023) - [j118]Yicong Li, Hongxu Chen, Yile Li, Lin Li, Philip S. Yu, Guandong Xu:
Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 35(11): 11801-11814 (2023) - [j117]Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin:
Self-Supervised Hypergraph Representation Learning for Sociological Analysis. IEEE Trans. Knowl. Data Eng. 35(11): 11860-11871 (2023) - [j116]Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu:
Causal Optimal Transport for Treatment Effect Estimation. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4083-4095 (2023) - [j115]Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas:
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. 41(3): 51:1-51:5 (2023) - [j114]Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas:
Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2. ACM Trans. Inf. Syst. 41(4): 82:1-82:6 (2023) - [j113]Zongda Wu, Huawen Liu, Jian Xie, Guandong Xu, Gang Li, Chenglang Lu:
An effective method for the protection of user health topic privacy for health information services. World Wide Web (WWW) 26(6): 3837-3859 (2023) - [c201]Xianfeng Zhang, Yanhui Gu, Guandong Xu, Yafei Li, Jinlan Wang, Zhenglu Yang:
HaPPy: Harnessing the Wisdom from Multi-Perspective Graphs for Protein-Ligand Binding Affinity Prediction (Student Abstract). AAAI 2023: 16384-16385 - [c200]Kaize Shi, Xueyao Sun, Li He, Dingxian Wang, Qing Li, Guandong Xu:
AMR-TST: Abstract Meaning Representation-based Text Style Transfer. ACL (Findings) 2023: 4231-4243 - [c199]Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu:
From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. ADMA (1) 2023: 19-33 - [c198]Yakun Chen, Kaize Shi, Xianzhi Wang, Guandong Xu:
MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation. ADMA (5) 2023: 180-194 - [c197]Huiwen Dong, Rongcheng Li, Wenhua Wang, Shangrui Wu, Guandong Xu, Zhiwen Zhao, Qing-Guo Wang:
Local Outlier Detection Based on K-distance Variation to Enhancing Imaging-aided Diagnosis. BESC 2023: 1-7 - [c196]Khanh-Van Nguyen, Peter Tilocca, Huan Huo, Guandong Xu:
Underwriting Knowledge Graph Construction, Maintenance and Its Application on Explainable Exclusion. BESC 2023: 1-7 - [c195]David Hason Rudd, Huan Huo, Md Rafiqul Islam, Guandong Xu:
Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data. BESC 2023: 1-7 - [c194]Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu:
From Occupations to Tasks: A New Perspective on Automatability Prediction Using BERT. BESC 2023: 1-7 - [c193]Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin:
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CIKM 2023: 2795-2804 - [c192]Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu:
Causality-guided Graph Learning for Session-based Recommendation. CIKM 2023: 3083-3093 - [c191]Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin:
RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation. ICDE 2023: 1761-1774 - [c190]Kangzheng Liu, Feng Zhao, Guandong Xu, Shiqing Wu:
IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting. ICDM 2023: 408-417 - [c189]Shiqing Wu, Guandong Xu, Xianzhi Wang:
SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems. ICDM 2023: 1421-1426 - [c188]Khanh-Van Nguyen, Md. Rafiqul Islam, Huan Huo, Peter Tilocca, Guandong Xu:
Explainable exclusion in the life insurance using multi-label classifier. IJCNN 2023: 1-8 - [c187]Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu:
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations. NeurIPS 2023 - [c186]Tri Dung Duong, Qian Li, Guandong Xu:
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows. PAKDD (2) 2023: 133-144 - [c185]David Hason Rudd, Huan Huo, Guandong Xu:
An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance. PAKDD (3) 2023: 219-231 - [c184]Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin:
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. SIGIR 2023: 423-432 - [c183]Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li:
Dynamic Graph Evolution Learning for Recommendation. SIGIR 2023: 1589-1598 - [c182]Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu:
Simplifying Graph-based Collaborative Filtering for Recommendation. WSDM 2023: 60-68 - [c181]Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu:
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. WSDM 2023: 553-561 - [c180]Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu:
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. WWW 2023: 621-629 - [e18]Haoran Xie, Chiu-Lin Lai, Wei Chen, Guandong Xu, Elvira Popescu:
Advances in Web-Based Learning - ICWL 2023 - 22nd International Conference, ICWL 2023, Sydney, NSW, Australia, November 26-28, 2023, Proceedings. Lecture Notes in Computer Science 14409, Springer 2023, ISBN 978-981-99-8384-1 [contents] - [e17]Shiqing Wu, Wenli Yang, Muhammad Bilal Amin, Byeong-Ho Kang, Guandong Xu:
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. Lecture Notes in Computer Science 14317, Springer 2023, ISBN 978-981-99-7854-0 [contents] - [i62]Tri Dung Duong, Qian Li, Guandong Xu:
Achieving Counterfactual Fairness with Imperfect Structural Causal Model. CoRR abs/2303.14665 (2023) - [i61]Tri Dung Duong, Qian Li, Guandong Xu:
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows. CoRR abs/2303.14668 (2023) - [i60]Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Guandong Xu, Kai Zheng, Hongzhi Yin:
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. CoRR abs/2304.03947 (2023) - [i59]David Hason Rudd, Huan Huo, Guandong Xu:
Causal Analysis of Customer Churn Using Deep Learning. CoRR abs/2304.10604 (2023) - [i58]David Hason Rudd, Huan Huo, Guandong Xu:
Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions. CoRR abs/2304.11503 (2023) - [i57]Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Guandong Xu:
Causal Neural Graph Collaborative Filtering. CoRR abs/2307.04384 (2023) - [i56]Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu:
Counterfactual Explanation for Fairness in Recommendation. CoRR abs/2307.04386 (2023) - [i55]Kaize Shi, Xueyao Sun, Dingxian Wang, Yinlin Fu, Guandong Xu, Qing Li:
LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following. CoRR abs/2308.04913 (2023) - [i54]Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin:
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CoRR abs/2308.12777 (2023) - [i53]Yakun Chen, Xianzhi Wang, Guandong Xu:
GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation. CoRR abs/2311.14332 (2023) - [i52]David Hason Rudd, Huan Huo, Md. Rafiqul Islam, Guandong Xu:
Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data. CoRR abs/2312.01301 (2023) - [i51]David Hason Rudd, Huan Huo, Guandong Xu:
An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance. CoRR abs/2312.10937 (2023) - [i50]David Hason Rudd, Huan Huo, Guandong Xu:
Leveraged Mel spectrograms using Harmonic and Percussive Components in Speech Emotion Recognition. CoRR abs/2312.10949 (2023) - [i49]David Hason Rudd, Huan Huo, Guandong Xu:
Predicting Financial Literacy via Semi-supervised Learning. CoRR abs/2312.10984 (2023) - 2022
- [j112]Nhi N. Y. Vo, Quang T. Vu, Nam H. Vu, Tu A. Vu, Bang D. Mach, Guandong Xu:
Domain-specific NLP system to support learning path and curriculum design at tech universities. Comput. Educ. Artif. Intell. 3: 100042 (2022) - [j111]Peipei Wang, Lin Li, Ru Wang, Xinhao Zheng, Jiaxi He, Guandong Xu:
Learning persona-driven personalized sentimental representation for review-based recommendation. Expert Syst. Appl. 203: 117317 (2022) - [j110]Li He, Xianzhi Wang, Hongxu Chen, Guandong Xu:
Online Spam Review Detection: A Survey of Literature. Hum. Centric Intell. Syst. 2(1-2): 14-30 (2022) - [j109]David Hason Rudd, Huan Huo, Guandong Xu:
Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions. Hum. Centric Intell. Syst. 2(3-4): 70-80 (2022) - [j108]Imran Razzak, Nour Moustafa, Shahid Mumtaz, Guandong Xu:
One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data. Int. J. Intell. Syst. 37(8): 4515-4536 (2022) - [j107]Peipei Wang, Lin Li, Qing Xie, Ru Wang, Guandong Xu:
Social dual-effect driven group modeling for neural group recommendation. Neurocomputing 481: 258-269 (2022) - [j106]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic intervention for causal inference via reinforcement learning. Neurocomputing 482: 40-49 (2022) - [j105]Wei Gao, Jian Wu, Guandong Xu:
Detecting Duplicate Questions in Stack Overflow via Source Code Modeling. Int. J. Softw. Eng. Knowl. Eng. 32(2): 227-255 (2022) - [j104]Omar Sharif, Md. Rafiqul Islam, Md Zobaer Hasan, Muhammad Ashad Kabir, Md Emran Hasan, Salman A. AlQahtani, Guandong Xu:
Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19. J. Heal. Informatics Res. 6(1): 72-90 (2022) - [j103]Imran Razzak, Peter W. Eklund, Guandong Xu:
Improving healthcare outcomes using multimedia big data analytics. Neural Comput. Appl. 34(17): 15095-15097 (2022) - [j102]Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu:
Privileged multi-task learning for attribute-aware aesthetic assessment. Pattern Recognit. 132: 108921 (2022) - [j101]Dongjing Wang, Xin Zhang, Zhengzhe Xiang, Dongjin Yu, Guandong Xu, Shuiguang Deng:
Sequential Recommendation Based on Multivariate Hawkes Process Embedding With Attention. IEEE Trans. Cybern. 52(11): 11893-11905 (2022) - [j100]Imran Razzak, Guandong Xu, Muhammad Khurram Khan:
Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures. IEEE Trans. Ind. Informatics 18(5): 3449-3451 (2022) - [j99]Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu:
V-SVR+: Support Vector Regression With Variational Privileged Information. IEEE Trans. Multim. 24: 876-889 (2022) - [j98]Dongjing Wang, Xin Zhang, Yao Wan, Dongjin Yu, Guandong Xu, Shuiguang Deng:
Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation. IEEE Trans. Multim. 24: 4170-4182 (2022) - [j97]Wenhua Wang, Yuqun Zhang, Yulei Sui, Yao Wan, Zhou Zhao, Jian Wu, Philip S. Yu, Guandong Xu:
Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention. IEEE Trans. Software Eng. 48(2): 102-119 (2022) - [j96]Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu:
Deep treatment-adaptive network for causal inference. VLDB J. 31(5): 1127-1142 (2022) - [j95]Nhi N. Y. Vo, Guandong Xu, Dat Anh Le:
Causal inference for the impact of economic policy on financial and labour markets amid the COVID-19 pandemic. Web Intell. 20(1): 1-19 (2022) - [j94]Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian Li, Chuan Zhou, Guandong Xu:
API-GNN: attribute preserving oriented interactive graph neural network. World Wide Web 25(1): 239-258 (2022) - [j93]Hamad Zogan, Imran Razzak, Xianzhi Wang, Shoaib Jameel, Guandong Xu:
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media. World Wide Web 25(1): 281-304 (2022) - [j92]Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin:
Reinforced KGs reasoning for explainable sequential recommendation. World Wide Web 25(2): 631-654 (2022) - [c179]Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu:
Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs. SCC 2022: 1-9 - [c178]Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu:
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks. ADMA (1) 2022: 520-534 - [c177]Bavly Hanna, Guandong Xu, Xianzhi Wang, Md. Jahangir Hossain:
Blockchain-based solutions for Humanitarian supply Chain Management. AMCIS 2022 - [c176]Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang, Guandong Xu:
An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification. AI 2022: 3-14 - [c175]David Hason Rudd, Huan Huo, Guandong Xu:
Predicting Financial Literacy via Semi-supervised Learning. AI 2022: 304-319 - [c174]Wilson Kurnia Lukmanjaya, Md. Rafiqul Islam, Guandong Xu:
Evidence-Based Process in Research Involving Machine Learning Algorithms. BESC 2022: 1-7 - [c173]Avery Tzeng Chiet Ngiam, Md. Rafiqul Islam, Guandong Xu:
ECTRS: A Personalised Early Career Trajectory Recommender System for Youths. BESC 2022: 1-7 - [c172]Lei Yang, Yao Xie, Md. Rafiqul Islam, Guandong Xu:
Big Data and Artificial Intelligence (AI) to Detect Glaucoma. BESC 2022: 1-6 - [c171]Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin:
DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning. CIKM 2022: 1289-1298 - [c170]Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen, Guandong Xu, Jian Wu:
DialMed: A Dataset for Dialogue-based Medication Recommendation. COLING 2022: 721-733 - [c169]Ruilin Zhao, Feng Zhao, Guandong Xu, Sixiao Zhang, Hai Jin:
Can Language Models Serve as Temporal Knowledge Bases? EMNLP (Findings) 2022: 2024-2037 - [c168]Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu:
Attentional Gated Res2net for Multivariate Time Series Classification. ICASSP 2022: 3308-3312 - [c167]Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin:
Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning. ICDM 2022: 279-288 - [c166]Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu:
Adaptive Graph Recurrent Network for Multivariate Time Series Imputation. ICONIP (5) 2022: 64-73 - [c165]Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu:
NaturalCC: An Open-Source Toolkit for Code Intelligence. ICSE-Companion 2022: 149-153 - [c164]Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. ICSE 2022: 2377-2388 - [c163]Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu:
Semantics-Guided Disentangled Learning for Recommendation. PAKDD (1) 2022: 249-261 - [c162]David Hason Rudd, Huan Huo, Guandong Xu:
Leveraged Mel Spectrograms Using Harmonic and Percussive Components in Speech Emotion Recognition. PAKDD (2) 2022: 392-404 - [c161]Yansong Shen, Lin Li, Qing Xie, Xin Li, Guandong Xu:
A Two-Tower Spatial-Temporal Graph Neural Network for Traffic Speed Prediction. PAKDD (1) 2022: 406-418 - [c160]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen:
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. SIGIR 2022: 546-555 - [c159]Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu:
MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations. SIGIR 2022: 1369-1378 - [c158]Yao Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Dezhong Yao, Hai Jin, Lichao Sun:
You see what I want you to see: poisoning vulnerabilities in neural code search. ESEC/SIGSOFT FSE 2022: 1233-1245 - [c157]Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin:
Cross-Language Binary-Source Code Matching with Intermediate Representations. SANER 2022: 601-612 - [c156]Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim:
Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction. WISE 2022: 616-629 - [c155]Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao:
Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing. WSDM 2022: 1337-1346 - [c154]Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu:
Dual Space Graph Contrastive Learning. WWW 2022: 1238-1247 - [c153]Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu:
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. WWW 2022: 1322-1330 - [c152]Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu:
Off-policy Learning over Heterogeneous Information for Recommendation. WWW 2022: 2348-2359 - [e16]Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu:
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. Lecture Notes in Computer Science 13629, Springer 2022, ISBN 978-3-031-20861-4 [contents] - [e15]Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu:
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. Lecture Notes in Computer Science 13630, Springer 2022, ISBN 978-3-031-20864-5 [contents] - [e14]Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu:
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. Lecture Notes in Computer Science 13631, Springer 2022, ISBN 978-3-031-20867-6 [contents] - [i48]Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu:
Dual Space Graph Contrastive Learning. CoRR abs/2201.07409 (2022) - [i47]Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin:
Cross-Language Binary-Source Code Matching with Intermediate Representations. CoRR abs/2201.07420 (2022) - [i46]Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu:
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. CoRR abs/2201.07986 (2022) - [i45]Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu:
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation. CoRR abs/2202.02576 (2022) - [i44]Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. CoRR abs/2202.06840 (2022) - [i43]Hongxu Chen, Sixiao Zhang, Guandong Xu:
Graph Masked Autoencoder. CoRR abs/2202.08391 (2022) - [i42]Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen, Guandong Xu, Jian Wu:
DialMed: A Dataset for Dialogue-based Medication Recommendation. CoRR abs/2203.07094 (2022) - [i41]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Nguyen Quoc Viet Hung:
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. CoRR abs/2204.11091 (2022) - [i40]Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Guandong Xu:
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. CoRR abs/2207.00148 (2022) - [i39]Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu:
Reinforced Path Reasoning for Counterfactual Explainable Recommendation. CoRR abs/2207.06674 (2022) - [i38]Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu:
Federated Graph Contrastive Learning. CoRR abs/2207.11836 (2022) - [i37]Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu:
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks. CoRR abs/2209.02182 (2022) - [i36]Arusarka Bose, Zili Zhou, Guandong Xu:
COV19IR : COVID-19 Domain Literature Information Retrieval. CoRR abs/2211.04013 (2022) - [i35]Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin:
Self-supervised Hypergraph Representation Learning for Sociological Analysis. CoRR abs/2212.11440 (2022) - 2021
- [j91]Dongjing Wang, Dengwei Xu, Dongjin Yu, Guandong Xu:
Time-aware sequence model for next-item recommendation. Appl. Intell. 51(2): 906-920 (2021) - [j90]Tianrui Li, Guandong Xu:
Human-Centric Intelligent Systems: A Welcome Note from Editor(s)-in-Chief. Hum. Centric Intell. Syst. 1(1-2): 1 (2021) - [j89]Md. Rafiqul Islam, Shanjita Akter, Md Rakybuzzaman Ratan, Abu Raihan M. Kamal, Guandong Xu:
Deep Visual Analytics (DVA): Applications, Challenges and Future Directions. Hum. Centric Intell. Syst. 1(1-2): 3 (2021) - [j88]Mosiur Rahman, Md. Rafiqul Islam, Sharmin Akter, Shanjita Akter, Linta Islam, Guandong Xu:
DiaVis: Exploration and Analysis of Diabetes through Visual Interactive System. Hum. Centric Intell. Syst. 1(3-4): 75 (2021) - [j87]Pan Gu, Yuqiang Han, Wei Gao, Guandong Xu, Jian Wu:
Enhancing session-based social recommendation through item graph embedding and contextual friendship modeling. Neurocomputing 419: 190-202 (2021) - [j86]Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu:
Leveraging multi-level dependency of relational sequences for social spammer detection. Neurocomputing 428: 130-141 (2021) - [j85]Nhi N. Y. Vo, Shaowu Liu, Xitong Li, Guandong Xu:
Leveraging unstructured call log data for customer churn prediction. Knowl. Based Syst. 212: 106586 (2021) - [j84]Min Gu, Yanhui Gu, Weilan Luo, Guandong Xu, Zhenglu Yang, Junsheng Zhou, Weiguang Qu:
From text to graph: a general transition-based AMR parsing using neural network. Neural Comput. Appl. 33(11): 6009-6025 (2021) - [j83]Zongxi Li, Haoran Xie, Guandong Xu, Qing Li, Mingming Leng, Chi Zhou:
Towards purchase prediction: A transaction-based setting and a graph-based method leveraging price information. Pattern Recognit. 113: 107824 (2021) - [j82]Peipei Wang, Lin Li, Ru Wang, Guandong Xu, Jianwei Zhang:
Socially-driven multi-interaction attentive group representation learning for group recommendation. Pattern Recognit. Lett. 145: 74-80 (2021) - [j81]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:
Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond. IEEE Trans. Comput. Soc. Syst. 8(4): 928-929 (2021) - [j80]Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen:
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. IEEE Trans. Comput. Soc. Syst. 8(4): 982-991 (2021) - [j79]Dongjing Wang, Xin Zhang, Dongjin Yu, Guandong Xu, Shuiguang Deng:
CAME: Content- and Context-Aware Music Embedding for Recommendation. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1375-1388 (2021) - [j78]Wei Hua, Yulei Sui, Yao Wan, Guangzhong Liu, Guandong Xu:
FCCA: Hybrid Code Representation for Functional Clone Detection Using Attention Networks. IEEE Trans. Reliab. 70(1): 304-318 (2021) - [j77]Zongda Wu, Guiling Li, Shigen Shen, Xinze Lian, Enhong Chen, Guandong Xu:
Constructing dummy query sequences to protect location privacy and query privacy in location-based services. World Wide Web 24(1): 25-49 (2021) - [j76]Xiaoxue Li, Yanan Cao, Qian Li, Yanmin Shang, Yangxi Li, Yanbing Liu, Guandong Xu:
RLINK: Deep reinforcement learning for user identity linkage. World Wide Web 24(1): 85-103 (2021) - [j75]Yuqiang Han, Pan Gu, Wei Gao, Guandong Xu, Jian Wu:
Aspect-level sentiment capsule network for micro-video click-through rate prediction. World Wide Web 24(4): 1045-1064 (2021) - [j74]Yijie Zhou, Xuewen Shen, Suiyu Zhang, Dingguo Yu, Guandong Xu:
DFIAM: deep factorization integrated attention mechanism for smart TV recommendation. World Wide Web 24(5): 1465-1481 (2021) - [j73]Dongjing Wang, Xingliang Wang, Zhengzhe Xiang, Dongjin Yu, Shuiguang Deng, Guandong Xu:
Attentive sequential model based on graph neural network for next poi recommendation. World Wide Web 24(6): 2161-2184 (2021) - [c151]Rhys Biddle, Maciek Rybinski, Qian Li, Cécile Paris, Guandong Xu:
Harnessing Privileged Information for Hyperbole Detection. ALTA 2021: 58-67 - [c150]Md. Rafiqul Islam, Jiaming Zhang, Md. Hamjajul Ashmafee, Imran Razzak, Jianlong Zhou, Xianzhi Wang, Guandong Xu:
ExVis: Explainable Visual Decision Support System for Risk Management. BESC 2021: 1-5 - [c149]Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu:
Click-Through Rate Prediction with Multi-Modal Hypergraphs. CIKM 2021: 690-699 - [c148]Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu:
Hyperbolic Hypergraphs for Sequential Recommendation. CIKM 2021: 988-997 - [c147]Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu:
Causal-Aware Generative Imputation for Automated Underwriting. CIKM 2021: 3916-3924 - [c146]Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu:
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. CIKM 2021: 4721-4724 - [c145]Qian Li, Zhichao Wang, Gang Li, Jun Pang, Guandong Xu:
Hilbert Sinkhorn Divergence for Optimal Transport. CVPR 2021: 3835-3844 - [c144]Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu:
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. ICDM 2021: 787-796 - [c143]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic Intervention for Causal Effect Estimation. IJCNN 2021: 1-8 - [c142]Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu:
UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System. IJCNN 2021: 1-8 - [c141]Joshua Zerafa, Md. Rafiqul Islam, Muhammad Ashad Kabir, Guandong Xu:
ExTraVis: Exploration of Traffic Incidents Using a Visual Interactive System. IV 2021: 48-53 - [c140]Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu:
Where are we in embedding spaces? KDD 2021: 2223-2231 - [c139]Yu Chu, Lin Li, Qing Xie, Guandong Xu:
C2-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction. PAKDD (1) 2021: 779-790 - [c138]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. SIGIR 2021: 133-142 - [c137]Yao Wu, Jian Cao, Guandong Xu, Yudong Tan:
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers. SIGIR 2021: 1013-1022 - [c136]Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li, Guandong Xu:
HACK: A Hierarchical Model for Fake News Detection. WISE (1) 2021: 565-572 - [c135]Xiaoqi Lv, Ke Ji, Zhenxiang Chen, Kun Ma, Jun Wu, Yidong Li, Guandong Xu:
Expert Recommendations with Temporal Dynamics of User Interest in CQA. WISE (1) 2021: 645-652 - [c134]Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin:
Temporal Meta-path Guided Explainable Recommendation. WSDM 2021: 1056-1064 - [i34]Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin:
Temporal Meta-path Guided Explainable Recommendation. CoRR abs/2101.01433 (2021) - [i33]Hongru Liang, Haozheng Wang, Qian Li, Jun Wang, Guandong Xu, Jiawei Chen, Jin-Mao Wei, Zhenglu Yang:
A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics. CoRR abs/2103.12615 (2021) - [i32]Anchen Li, Bo Yang, Hongxu Chen, Guandong Xu:
Hyperbolic Neural Collaborative Recommender. CoRR abs/2104.07414 (2021) - [i31]Yao Wu, Jian Cao, Guandong Xu, Yudong Tan:
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers. CoRR abs/2104.09024 (2021) - [i30]Tri Dung Duong, Qian Li, Guandong Xu:
Prototype-based Counterfactual Explanation for Causal Classification. CoRR abs/2105.00703 (2021) - [i29]Qian Li, Xiangmeng Wang, Guandong Xu:
Be Causal: De-biasing Social Network Confounding in Recommendation. CoRR abs/2105.07775 (2021) - [i28]Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu:
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems. CoRR abs/2105.08908 (2021) - [i27]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media. CoRR abs/2105.10878 (2021) - [i26]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic Intervention for Causal Effect Estimation. CoRR abs/2105.12898 (2021) - [i25]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic Intervention for Causal Inference via Reinforcement Learning. CoRR abs/2105.13514 (2021) - [i24]Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu:
Hyperbolic Hypergraphs for Sequential Recommendation. CoRR abs/2108.08134 (2021) - [i23]Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu:
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. CoRR abs/2109.02094 (2021) - [i22]Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu:
Click-Through Rate Prediction with Multi-Modal Hypergraphs. CoRR abs/2109.02398 (2021) - [i21]Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu:
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. CoRR abs/2109.02859 (2021) - [i20]Yicong Li, Hongxu Chen, Yile Li, Lin Li, Philip S. Yu, Guandong Xu:
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation. CoRR abs/2111.12262 (2021) - [i19]Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu:
Deep Treatment-Adaptive Network for Causal Inference. CoRR abs/2112.13502 (2021) - 2020
- [j72]Imran Razzak, Khurram Zafar, Muhammad Imran, Guandong Xu:
Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data. Future Gener. Comput. Syst. 112: 715-723 (2020) - [j71]Yangyang Shu, Qian Li, Shaowu Liu, Guandong Xu:
Learning with privileged information for photo aesthetic assessment. Neurocomputing 404: 304-316 (2020) - [j70]Muhammad Imran Razzak, Muhammad Imran, Guandong Xu:
Big data analytics for preventive medicine. Neural Comput. Appl. 32(9): 4417-4451 (2020) - [j69]Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu:
Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection. Neural Networks 121: 441-451 (2020) - [j68]Md. Rafiqul Islam, Shaowu Liu, Xianzhi Wang, Guandong Xu:
Deep learning for misinformation detection on online social networks: a survey and new perspectives. Soc. Netw. Anal. Min. 10(1): 82 (2020) - [j67]Zongda Wu, Ruiqin Wang, Qi Li, Xinze Lian, Guandong Xu, Enhong Chen, Xiyang Liu:
A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services. IEEE Trans. Veh. Technol. 69(5): 5244-5254 (2020) - [j66]Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu:
Generative temporal link prediction via self-tokenized sequence modeling. World Wide Web 23(4): 2471-2488 (2020) - [c133]Md. Rafiqul Islam, Shaowu Liu, Imran Razzak, Muhammad Ashad Kabir, Xianzhi Wang, Peter Tilocca, Guandong Xu:
MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry. BESC 2020: 1-4 - [c132]Dhruv Aditya Mittal, Shaowu Liu, Guandong Xu:
Electricity Price Forecasting using Convolution and LSTM Models. BESC 2020: 1-4 - [c131]Yangyang Shu, Yulei Sui, Hongyu Zhang, Guandong Xu:
Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning. ESEM 2020: 16:1-16:11 - [c130]Yao Wu, Jian Cao, Guandong Xu:
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint. ICSOC 2020: 287-303 - [c129]Xiangmeng Wang, Qian Li, Wu Zhang, Guandong Xu, Shaowu Liu, Wenhao Zhu:
Joint Relational Dependency Learning for Sequential Recommendation. PAKDD (1) 2020: 168-180 - [c128]Rhys Biddle, Aditya Joshi, Shaowu Liu, Cécile Paris, Guandong Xu:
Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter. WWW 2020: 1217-1227 - [i18]Wenhua Wang, Yuqun Zhang, Zhengran Zeng, Guandong Xu:
TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search. CoRR abs/2003.03238 (2020) - [i17]Guandong Xu, Tri Dung Duong, Qian Li, Shaowu Liu, Xianzhi Wang:
Causality Learning: A New Perspective for Interpretable Machine Learning. CoRR abs/2006.16789 (2020) - [i16]Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen:
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. CoRR abs/2007.02325 (2020) - [i15]Hamad Zogan, Xianzhi Wang, Shoaib Jameel, Guandong Xu:
Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media. CoRR abs/2007.02847 (2020) - [i14]Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu:
Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection. CoRR abs/2009.06231 (2020) - [i13]Yao Wu, Jian Cao, Guandong Xu:
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint. CoRR abs/2012.02292 (2020) - [i12]Yao Wan, Yang He, Jianguo Zhang, Yulei Sui, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu:
NaturalCC: A Toolkit to Naturalize the Source Code Corpus. CoRR abs/2012.03225 (2020)
2010 – 2019
- 2019
- [j65]Zafar Saeed, Rabeeh Ayaz Abbasi, Muhammad Imran Razzak, Guandong Xu:
Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes]. IEEE Comput. Intell. Mag. 14(3): 29-38 (2019) - [j64]Nhi N. Y. Vo, Xuezhong He, Shaowu Liu, Guandong Xu:
Deep learning for decision making and the optimization of socially responsible investments and portfolio. Decis. Support Syst. 124 (2019) - [j63]Zafar Saeed, Rabeeh Ayaz Abbasi, Imran Razzak, Onaiza Maqbool, Abida Sadaf, Guandong Xu:
Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks. Expert Syst. Appl. 136: 115-132 (2019) - [j62]Zafar Saeed, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Abida Sadaf, Imran Razzak, Ali Daud, Naif Radi Aljohani, Guandong Xu:
What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter. J. Grid Comput. 17(2): 279-312 (2019) - [j61]Dingguo Yu, Bin Fu, Guandong Xu, Aihong Qin:
Constrained nonnegative matrix factorization-based semi-supervised multilabel learning. Int. J. Mach. Learn. Cybern. 10(5): 1093-1100 (2019) - [j60]Xiaofeng Cao, Baozhi Qiu, Guandong Xu:
BorderShift: toward optimal MeanShift vector for cluster boundary detection in high-dimensional data. Pattern Anal. Appl. 22(3): 1015-1027 (2019) - [j59]Muhammad Imran Razzak, Muhammad Imran, Guandong Xu:
Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks. IEEE J. Biomed. Health Informatics 23(5): 1911-1919 (2019) - [j58]Xiaofeng Cao, Baozhi Qiu, Xiangli Li, Zenglin Shi, Guandong Xu, Jianliang Xu:
Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1867-1880 (2019) - [j57]Tingting Liang, Liang Chen, Jian Wu, Guandong Xu, Zhaohui Wu:
SMS: A Framework for Service Discovery by Incorporating Social Media Information. IEEE Trans. Serv. Comput. 12(3): 384-397 (2019) - [j56]Haochao Ying, Jian Wu, Guandong Xu, Yanchi Liu, Tingting Liang, Xiao Zhang, Hui Xiong:
Time-aware metric embedding with asymmetric projection for successive POI recommendation. World Wide Web 22(5): 2209-2224 (2019) - [j55]Hongru Liang, Haozheng Wang, Qian Li, Jun Wang, Guandong Xu, Jiawei Chen, Jin-Mao Wei, Zhenglu Yang:
A general framework for learning prosodic-enhanced representation of rap lyrics. World Wide Web 22(6): 2267-2289 (2019) - [c127]Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang:
On Completing Sparse Knowledge Base with Transitive Relation Embedding. AAAI 2019: 3125-3132 - [c126]Jun Yin, Shaowu Liu, Qian Li, Guandong Xu:
Prediction and Analysis of Rumour's Impact on Social Media. BESC 2019: 1-6 - [c125]Ming Zhao, Yangyang Shu, Shaowu Liu, Guandong Xu:
Electricity Price Forecast using Meteorology data: A study in Australian Energy Market. BESC 2019: 1-2 - [c124]Zhichao Wang, Qian Li, Gang Li, Guandong Xu:
Polynomial Representation for Persistence Diagram. CVPR 2019: 6123-6132 - [c123]Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, Guandong Xu:
A Boundary-aware Neural Model for Nested Named Entity Recognition. EMNLP/IJCNLP (1) 2019: 357-366 - [c122]Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, Philip S. Yu:
Multi-modal Attention Network Learning for Semantic Source Code Retrieval. ASE 2019: 13-25 - [c121]Yangyang Shu, Guandong Xu:
Emotion Recognition from Music Enhanced by Domain Knowledge. PRICAI (1) 2019: 121-134 - [i11]Zafar Saeed, Rabeeh Ayaz Abbasi, Muhammad Imran Razzak, Guandong Xu:
Event Detection in Twitter Stream using Weighted Dynamic Heartbeat Graph Approach. CoRR abs/1902.08522 (2019) - [i10]Peipei Wang, Lin Li, Yi Yu, Guandong Xu:
Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation. CoRR abs/1909.01079 (2019) - [i9]Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, Philip S. Yu:
Multi-Modal Attention Network Learning for Semantic Source Code Retrieval. CoRR abs/1909.13516 (2019) - [i8]Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu:
Generative Temporal Link Prediction via Self-tokenized Sequence Modeling. CoRR abs/1911.11486 (2019) - 2018
- [j54]Hongzhi Zhang, Guandong Xu, Xiao Liang, Guangluan Xu, Feng Li, Kun Fu, Lei Wang, Tinglei Huang:
An Attention-Based Word-Level Interaction Model for Knowledge Base Relation Detection. IEEE Access 6: 75429-75441 (2018) - [j53]Zongda Wu, Chengren Zheng, Jian Xiejian, Zhifeng Zhou, Guandong Xu, Enhong Chen:
An approach for the protection of users' book browsing preference privacy in a digital library. Electron. Libr. 36(6): 1154-1166 (2018) - [j52]Ke Ji, Zhenxiang Chen, Runyuan Sun, Kun Ma, Zhongjie Yuan, Guandong Xu:
GIST: A generative model with individual and subgroup-based topics for group recommendation. Expert Syst. Appl. 94: 81-93 (2018) - [j51]Yao Wan, Guandong Xu, Liang Chen, Zhou Zhao, Jian Wu:
Exploiting cross-source knowledge for warming up community question answering services. Neurocomputing 320: 25-34 (2018) - [j50]Dongjing Wang, Shuiguang Deng, Guandong Xu:
Sequence-based context-aware music recommendation. Inf. Retr. J. 21(2-3): 230-252 (2018) - [j49]Mohamed A. G. Hazber, Bing Li, Guandong Xu, Mohammed A. S. Mosleh, Xiwu Gu, Yuhua Li:
An Approach for Generation of SPARQL Query from SQL Algebra based Transformation Rules of RDB to Ontology. J. Softw. 13(11): 573-599 (2018) - [j48]Lin Li, Jinghang Liu, Yueqing Sun, Guandong Xu, Jingling Yuan, Luo Zhong:
Unsupervised Keyword Extraction from Microblog Posts via Hashtags. J. Web Eng. 17(1&2): 93-120 (2018) - [j47]Qi Liu, Runze Wu, Enhong Chen, Guandong Xu, Yu Su, Zhigang Chen, Guoping Hu:
Fuzzy Cognitive Diagnosis for Modelling Examinee Performance. ACM Trans. Intell. Syst. Technol. 9(4): 48:1-48:26 (2018) - [j46]Zongda Wu, Guiling Li, Qi Liu, Guandong Xu, Enhong Chen:
Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation. IEEE Trans. Serv. Comput. 11(3): 493-506 (2018) - [j45]Zongda Wu, Guandong Xu, Chenglang Lu, Enhong Chen, Fang Jiang, Guiling Li:
An effective approach for the protection of privacy text data in the CloudDB. World Wide Web 21(4): 915-938 (2018) - [j44]Dongjing Wang, Shuiguang Deng, Xin Zhang, Guandong Xu:
Learning to embed music and metadata for context-aware music recommendation. World Wide Web 21(5): 1399-1423 (2018) - [j43]Yao Wan, Liang Chen, Guandong Xu, Zhou Zhao, Jie Tang, Jian Wu:
SCSMiner: mining social coding sites for software developer recommendation with relevance propagation. World Wide Web 21(6): 1523-1543 (2018) - [j42]Yanhui Gu, Min Gu, Yi Long, Guandong Xu, Zhenglu Yang, Junsheng Zhou, Weiguang Qu:
An enhanced short text categorization model with deep abundant representation. World Wide Web 21(6): 1705-1719 (2018) - [c120]Ben Culbert, Bin Fu, James Brownlow, Charles Chu, Qinxue Meng, Guandong Xu:
Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach. ADC 2018: 123-134 - [c119]Rhys Biddle, Shaowu Liu, Peter Tilocca, Guandong Xu:
Automated Underwriting in Life Insurance: Predictions and Optimisation. ADC 2018: 135-146 - [c118]Adam Butler, Guandong Xu, Katarzyna Musial:
Research Performance Reporting is Fallacious. BESC 2018: 1-5 - [c117]Guiming Cao, Alan Downes, Shuraia Khan, Wendy Wong, Guandong Xu:
Taxpayer Behavior Prediction in SMS Campaigns. BESC 2018: 19-23 - [c116]Rhys Biddle, Shaowu Liu, Guandong Xu:
Semi-Supervised Soft K-Means Clustering of Life Insurance Questionnaire Responses. BESC 2018: 30-31 - [c115]Nhi N. Y. Vo, Shaowu Liu, James Brownlow, Charles Chu, Ben Culbert, Guandong Xu:
Client Churn Prediction with Call Log Analysis. DASFAA (2) 2018: 752-763 - [c114]James Brownlow, Charles Chu, Bin Fu, Guandong Xu, Ben Culbert, Qinxue Meng:
Cost-Sensitive Churn Prediction in Fund Management Services. DASFAA (2) 2018: 776-788 - [c113]Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu:
Sequential Recommender System based on Hierarchical Attention Networks. IJCAI 2018: 3926-3932 - [c112]James Brownlow, Charles Chu, Guandong Xu, Ben Culbert, Bin Fu, Qinxue Meng:
A Multiple Source based Transfer Learning Framework for Marketing Campaigns. IJCNN 2018: 1-8 - [c111]Muhammad Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu:
Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA. IJCNN 2018: 1-7 - [c110]Hui Shi, Wu He, Guandong Xu:
Workshop Proposal on Knowledge Discovery from Digital Libraries. JCDL 2018: 429-430 - [c109]Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu:
Improving automatic source code summarization via deep reinforcement learning. ASE 2018: 397-407 - [c108]Zili Zhou, Shaowu Liu, Guandong Xu, Xing Xie, Jun Yin, Yidong Li, Wu Zhang:
Knowledge-Based Recommendation with Hierarchical Collaborative Embedding. PAKDD (2) 2018: 222-234 - [c107]Zafar Saeed, Rabeeh Ayaz Abbasi, Abida Sadaf, Muhammad Imran Razzak, Guandong Xu:
Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter. PAKDD (2) 2018: 534-545 - [c106]Jun Yin, Zili Zhou, Shaowu Liu, Zhiang Wu, Guandong Xu:
Social Spammer Detection: A Multi-Relational Embedding Approach. PAKDD (1) 2018: 615-627 - [c105]Nhi N. Y. Vo, Shaowu Liu, Xuezhong He, Guandong Xu:
Multimodal Mixture Density Boosting Network for Personality Mining. PAKDD (1) 2018: 644-655 - [c104]Min Gui, Zhengkun Zhang, Zhenglu Yang, Yanhui Gu, Guandong Xu:
An Effective Joint Framework for Document Summarization. WWW (Companion Volume) 2018: 121-122 - [r5]Yanchun Zhang, Guandong Xu:
Singular Value Decomposition. Encyclopedia of Database Systems (2nd ed.) 2018 - [r4]Guandong Xu, Zhiang Wu, Jie Cao, Haicheng Tao:
Models for Community Dynamics. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i7]Hongzhi Zhang, Guandong Xu, Xiao Liang, Tinglei Huang, Kun Fu:
An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering. CoRR abs/1801.09893 (2018) - [i6]Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu:
Improving Automatic Source Code Summarization via Deep Reinforcement Learning. CoRR abs/1811.07234 (2018) - 2017
- [j41]Zongda Wu, Li Lei, Guiling Li, Hui Huang, Chengren Zheng, Enhong Chen, Guandong Xu:
A topic modeling based approach to novel document automatic summarization. Expert Syst. Appl. 84: 12-23 (2017) - [j40]Zongda Wu, Hui Zhu, Guiling Li, Zongmin Cui, Hui Huang, Jun Li, Enhong Chen, Guandong Xu:
An efficient Wikipedia semantic matching approach to text document classification. Inf. Sci. 393: 15-28 (2017) - [j39]ShuiGuang Deng, Longtao Huang, Guandong Xu, Xindong Wu, Zhaohui Wu:
On Deep Learning for Trust-Aware Recommendations in Social Networks. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1164-1177 (2017) - [j38]Liang Hu, Longbing Cao, Jian Cao, Zhiping Gu, Guandong Xu, Jie Wang:
Improving the Quality of Recommendations for Users and Items in the Tail of Distribution. ACM Trans. Inf. Syst. 35(3): 25:1-25:37 (2017) - [c103]Charles Chu, James Brownlow, Qinxue Meng, Bin Fu, Ben Culbert, Min Zhu, Guandong Xu, Xuezhong He:
Combining heterogeneous features for time series prediction. BESC 2017: 1-2 - [c102]Shaowu Liu, Guandong Xu, Xiao Zhu, Zili Zhou:
Towards simplified insurance application via sparse questionnaire optimization. BESC 2017: 1-2 - [c101]Nhi N. Y. Vo, Guandong Xu:
The volatility of Bitcoin returns and its correlation to financial markets. BESC 2017: 1-6 - [c100]Zili Zhou, Guandong Xu, Xiao Zhu, Shaowu Liu:
Latent factor analysis for low-dimensional implicit preference prediction. BESC 2017: 1-2 - [c99]Yueqing Sun, Lin Li, Zhongwei Xie, Qing Xie, Xin Li, Guandong Xu:
Co-training an Improved Recurrent Neural Network with Probability Statistic Models for Named Entity Recognition. DASFAA (2) 2017: 545-555 - [c98]Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu:
Diversifying Personalized Recommendation with User-session Context. IJCAI 2017: 1858-1864 - [c97]Dongjing Wang, Guandong Xu, ShuiGuang Deng:
Music recommendation via heterogeneous information graph embedding. IJCNN 2017: 596-603 - [c96]Zili Zhou, Guandong Xu, Wenhao Zhu, Jinyan Li, Wu Zhang:
Structure embedding for knowledge base completion and analytics. IJCNN 2017: 737-743 - [c95]Shaowu Liu, Na Pang, Guandong Xu, Huan Liu:
Collaborative Filtering via Different Preference Structures. KSEM 2017: 309-321 - [c94]Adam Butler, Guandong Xu, Xuezhong He:
What comes first the Co-authorship Network or the Citation? MISNC 2017: 11:1-11:5 - [c93]Yuqiang Han, Yao Wan, Liang Chen, Guandong Xu, Jian Wu:
Exploiting Geographical Location for Team Formation in Social Coding Sites. PAKDD (1) 2017: 499-510 - [c92]Runze Wu, Guandong Xu, Enhong Chen, Qi Liu, Wan Ng:
Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response. WWW (Companion Volume) 2017: 321-329 - [c91]Jiahui Guo, Bin Yue, Guandong Xu, Zhenglu Yang, Jin-Mao Wei:
An Enhanced Convolutional Neural Network Model for Answer Selection. WWW (Companion Volume) 2017: 789-790 - [e13]Jana Diesner, Elena Ferrari, Guandong Xu:
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31 - August 03, 2017. ACM 2017, ISBN 978-1-4503-4993-2 [contents] - [e12]Yves Demazeau, Jianbo Gao, Guandong Xu, Jaroslaw Kozlak, Klaus Müller, Imran Razzak, Hao Chen, Yanhui Gu:
2017 International Conference on Behavioral, Economic, Socio-cultural Computing, BESC 2017, Krakow, Poland, October 16-18, 2017. IEEE 2017, ISBN 978-1-5386-2365-7 [contents] - 2016
- [j37]Guandong Xu, Bin Fu, Yanhui Gu:
Point-of-Interest Recommendations via a Supervised Random Walk Algorithm. IEEE Intell. Syst. 31(1): 15-23 (2016) - [j36]Yuechuan Li, Yidong Li, Guandong Xu:
Protecting private geosocial networks against practical hybrid attacks with heterogeneous information. Neurocomputing 210: 81-90 (2016) - [j35]Zhiyuan Zhang, Yun Liu, Guandong Xu, Gui Xun Luo:
Recommendation using DMF-based fine tuning method. J. Intell. Inf. Syst. 47(2): 233-246 (2016) - [j34]Zhiyuan Zhang, Yun Liu, Guandong Xu, Haiqiang Chen:
A weighted adaptation method on learning user preference profile. Knowl. Based Syst. 112: 114-126 (2016) - [j33]Fangfang Li, Guandong Xu, Longbing Cao:
Two-level matrix factorization for recommender systems. Neural Comput. Appl. 27(8): 2267-2278 (2016) - [j32]Wu He, Guandong Xu:
Social media analytics: unveiling the value, impact and implications of social media analytics for the management and use of online information. Online Inf. Rev. 40(1) (2016) - [j31]Xun Yi, Russell Paulet, Elisa Bertino, Guandong Xu:
Private Cell Retrieval From Data Warehouses. IEEE Trans. Inf. Forensics Secur. 11(6): 1346-1361 (2016) - [j30]Liang Hu, Longbing Cao, Jian Cao, Zhiping Gu, Guandong Xu, Dingyu Yang:
Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains. ACM Trans. Inf. Syst. 35(2): 13:1-13:37 (2016) - [c90]Anand Chinchore, Guandong Xu, Frank Jiang:
Classifying sybil in MSNs using C4.5. BESC 2016: 1-6 - [c89]Charles Chu, Guandong Xu, James Brownlow, Bin Fu:
Deployment of churn prediction model in financial services industry. BESC 2016: 1-2 - [c88]Frank Jiang, Jin Gan, Yuanyuan Xu, Guandong Xu:
Coupled behavioral analysis for user preference-based email spamming. BESC 2016: 1-5 - [c87]Raul Manongdo, Guandong Xu:
Applying client churn prediction modeling on home-based care services industry. BESC 2016: 1-6 - [c86]Yan Chen, Xin Li, Lin Li, Guiquan Liu, Guandong Xu:
Modeling User Mobility via User Psychological and Geographical Behaviors Towards Point of-Interest Recommendation. DASFAA (1) 2016: 364-380 - [c85]Xiao Zhu, Guandong Xu:
Applying Visual Analytics on Traditional Data Mining Process: Quick Prototype, Simple Expertise Transformation, and Better Interpretation. ES 2016: 208-213 - [c84]Mohamed A. G. Hazber, Ruixuan Li, Guandong Xu, Khaled M. Alalayah:
An Approach for Automatically Generating R2RML-Based Direct Mapping from Relational Databases. ICYCSEE (1) 2016: 151-169 - [c83]Hao Guo, Xin Li, Ming He, Xiangyu Zhao, Guiquan Liu, Guandong Xu:
CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation. KSEM 2016: 613-627 - [c82]Dongjing Wang, ShuiGuang Deng, Xin Zhang, Guandong Xu:
Learning Music Embedding with Metadata for Context Aware Recommendation. ICMR 2016: 249-253 - [c81]Dongjing Wang, ShuiGuang Deng, Guandong Xu:
GEMRec: A Graph-Based Emotion-Aware Music Recommendation Approach. WISE (1) 2016: 92-106 - [c80]Dun Yang, Zhiang Wu, Xiaopeng Wang, Jie Cao, Guandong Xu:
Predicting Replacement of Smartphones with Mobile App Usage. WISE (1) 2016: 343-351 - [c79]Dongjing Wang, ShuiGuang Deng, Songguo Liu, Guandong Xu:
Improving Music Recommendation Using Distributed Representation. WWW (Companion Volume) 2016: 125-126 - [e11]Gang Li, Yves Demazeau, Guandong Xu, Paul Wang, Leon S. L. Wang, Guanfeng Liu:
2016 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2016, Durham, NC, USA, November 11-13, 2016. IEEE 2016, ISBN 978-1-5090-6164-8 [contents] - 2015
- [j29]Xin Li, Guandong Xu, Enhong Chen, Yu Zong:
Learning recency based comparative choice towards point-of-interest recommendation. Expert Syst. Appl. 42(9): 4274-4283 (2015) - [j28]ShuiGuang Deng, Dongjing Wang, Xitong Li, Guandong Xu:
Exploring user emotion in microblogs for music recommendation. Expert Syst. Appl. 42(23): 9284-9293 (2015) - [j27]Guandong Xu, Zhiang Wu, Yanchun Zhang, Jie Cao:
Social networking meets recommender systems: survey. Int. J. Soc. Netw. Min. 2(1): 64-100 (2015) - [j26]Zongda Wu, Jie Shi, Chenglang Lu, Enhong Chen, Guandong Xu, Guiling Li, Sihong Xie, Philip S. Yu:
Constructing plausible innocuous pseudo queries to protect user query intention. Inf. Sci. 325: 215-226 (2015) - [j25]Guandong Xu, Yu Zong, Ping Jin, Rong Pan, Zongda Wu:
KIPTC: a kernel information propagation tag clustering algorithm. J. Intell. Inf. Syst. 45(1): 95-112 (2015) - [j24]Guandong Xu, Zongda Wu, Guiling Li, Enhong Chen:
Improving contextual advertising matching by using Wikipedia thesaurus knowledge. Knowl. Inf. Syst. 43(3): 599-631 (2015) - [j23]Young-Sik Jeong, Mei-Ling Shyu, Guandong Xu, Roland R. Wagner:
Guest Editorial: Advanced Technologies and Services for Multimedia Big Data Processing. Multim. Tools Appl. 74(10): 3413-3418 (2015) - [c78]Mohamed A. G. Hazber, Ruixuan Li, Yuxi Zhang, Guandong Xu:
An Approach for Mapping Relational Database into Ontology. IEEE WISA 2015: 120-125 - [c77]Lu Qi, Yanyi Huang, Lin Li, Guandong Xu:
Learning to rank domain experts in microblogging by combining text and non-text features. BESC 2015: 28-31 - [c76]Kyrylo Medvediev, Guandong Xu, Shlomo Berkovsky, Yury Onikienko:
An analysis of new visitors' website behaviour before & after TV advertising. BESC 2015: 109-115 - [c75]Alfredo Cuzzocrea, Rim Moussa, Guandong Xu, Giorgio Mario Grasso:
Cloud-Based OLAP over Big Data: Application Scenarios and Performance Analysis. CCGRID 2015: 921-927 - [c74]Xin Li, Guandong Xu, Enhong Chen, Lin Li:
MARS: A multi-aspect Recommender system for Point-of-Interest. ICDE 2015: 1436-1439 - [c73]Xin Li, Guandong Xu, Enhong Chen, Lin Li:
Learning User Preferences across Multiple Aspects for Merchant Recommendation. ICDM 2015: 865-870 - [c72]Alfredo Cuzzocrea, Guandong Xu, Giorgio Mario Grasso:
OLAP-enabled web search of complex objects. iiWAS 2015: 70:1-70:10 - [c71]Anand Chinchore, Frank Jiang, Guandong Xu:
Intelligent Sybil Attack Detection on Abnormal Connectivity Behavior in Mobile Social Networks. KMO 2015: 602-617 - [c70]Lin Li, Chang Su, Yueqing Sun, Shengwu Xiong, Guandong Xu:
Hashtag Biased Ranking for Keyword Extraction from Microblog Posts. KSEM 2015: 348-359 - [c69]Fangfang Li, Guandong Xu, Longbing Cao:
Coupled Matrix Factorization Within Non-IID Context. PAKDD (2) 2015: 707-719 - [c68]Bin Fu, Guandong Xu, Longbing Cao, Zhihai Wang, Zhiang Wu:
Coupling Multiple Views of Relations for Recommendation. PAKDD (2) 2015: 732-743 - [c67]Mohamed A. G. Hazber, Ruixuan Li, Xiwu Gu, Guandong Xu, Yuhua Li:
Semantic SPARQL Query in a Relational Database Based on Ontology Construction. SKG 2015: 25-32 - [e10]Guandong Xu, Yves Demazeau, Shu-Heng Chen, Junjie Wu, Michael Gavin, Irwin King, Jie Cao, Zhiang Wu, Zhan Bu:
2015 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2015, Nanjing, China, October 30 - December 1, 2015. IEEE 2015, ISBN 978-1-4673-8783-5 [contents] - [i5]Fangfang Li, Guandong Xu, Longbing Cao:
CSAL: Self-adaptive Labeling based Clustering Integrating Supervised Learning on Unlabeled Data. CoRR abs/1502.05111 (2015) - [i4]Fangfang Li, Yanchang Zhao, Klaus Felsche, Guandong Xu, Longbing Cao:
Coupling Analysis Between Twitter and Call Centre. CoRR abs/1509.02238 (2015) - 2014
- [j22]Guandong Xu, Aoying Zhou, Nitin Agarwal:
Special Issue on Social Computing and its Applications. Comput. J. 57(9): 1279-1280 (2014) - [j21]ShuiGuang Deng, Longtao Huang, Guandong Xu:
Social network-based service recommendation with trust enhancement. Expert Syst. Appl. 41(18): 8075-8084 (2014) - [j20]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:
Behavior Informatics: A New Perspective. IEEE Intell. Syst. 29(4): 62-80 (2014) - [j19]Wu He, Guandong Xu, S. E. Kruck:
Online IS Education for the 21st Century. J. Inf. Syst. Educ. 25(2): 101-106 (2014) - [j18]Nitin Agarwal, Aoying Zhou, Guandong Xu:
Social cyber systems - Challenges, opportunities, and beyond. J. Syst. Softw. 94: 1-3 (2014) - [j17]Frederico Araújo Durão, Karunakar Bayyapu, Guandong Xu, Peter Dolog, Ricardo Lage:
Expanding user's query with tag-neighbors for effective medical information retrieval. Multim. Tools Appl. 71(2): 905-929 (2014) - [j16]Bin Fu, Zhihai Wang, Guandong Xu, Longbing Cao:
Multi-label learning based on iterative label propagation over graph. Pattern Recognit. Lett. 42: 85-90 (2014) - [j15]Yanhui Gu, Zhenglu Yang, Guandong Xu, Miyuki Nakano, Masashi Toyoda, Masaru Kitsuregawa:
Exploration on efficient similar sentences extraction. World Wide Web 17(4): 595-626 (2014) - [c66]Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Wei Cao:
Deep Modeling of Group Preferences for Group-Based Recommendation. AAAI 2014: 1861-1867 - [c65]Nian Liu, Lin Li, Guandong Xu, Zhenglu Yang:
Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach. AAAI 2014: 3122-3123 - [c64]Zhan Bu, Zhiang Wu, Liqiang Qian, Jie Cao, Guandong Xu:
A backbone extraction method with Local Search for complex weighted networks. ASONAM 2014: 85-88 - [c63]Zhu Wang, Tiejian Luo, Guandong Xu, Xiang Wang:
The Application of Cartesian-Join of Bloom Filters to Supporting Membership Query of Multidimensional Data. BigData Congress 2014: 288-295 - [c62]Qi Gu, Yan Zhang, Jian Cao, Guandong Xu, Alfredo Cuzzocrea:
A confidence-based entity resolution approach with incomplete information. DSAA 2014: 97-103 - [c61]Alfredo Cuzzocrea, Guandong Xu:
Towards a Framework for Supporting Web Search of Complex Objects via Multidimensional Paradigms. ICCSA (Workshops/Short Papers/Posters) 2014: 217-220 - [c60]Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Jianhui Li, Yuanchun Zhou, Hui Xiong:
Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval. ICDM 2014: 610-619 - [c59]Liang Hu, Wei Cao, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu:
Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages. ICDM 2014: 851-856 - [c58]Xin Li, Lei Zhang, Ping Luo, Enhong Chen, Guandong Xu, Yu Zong, Chu Guan:
Mining user tasks from print logs. IJCNN 2014: 1250-1257 - [c57]Alfredo Cuzzocrea, Guandong Xu:
A Novel Heuristic Scheme for Modeling and Managing Time Bound Constraints in Data-Intensive Grid and Cloud Infrastructures. OTM Workshops 2014: 172-191 - [c56]Fangfang Li, Guandong Xu, Longbing Cao:
Coupled Item-Based Matrix Factorization. WISE (1) 2014: 1-14 - [e9]Xindong Wu, Martin Ester, Guandong Xu:
2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-5877-1 [contents] - [r3]Guandong Xu, Zhiang Wu, Jie Cao, Haicheng Tao:
Models for Community Dynamics. Encyclopedia of Social Network Analysis and Mining 2014: 969-982 - [i3]Fangfang Li, Guandong Xu, Longbing Cao, Xiaozhong Fan, Zhendong Niu:
CMF: Coupled Matrix Factorization for Recommender Systems. CoRR abs/1404.7467 (2014) - [i2]Fangfang Li, Guandong Xu, Longbing Cao:
Coupled Item-based Matrix Factorization. CoRR abs/1405.6223 (2014) - [i1]Liang Wu, Hui Xiong, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Yuanchun Zhou, Jianhui Li:
Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval. CoRR abs/1409.7165 (2014) - 2013
- [j14]Zongda Wu, Guandong Xu, Chenglang Lu, Enhong Chen, Yanchun Zhang, Hong Zhang:
Position-wise contextual advertising: Placing relevant ads at appropriate positions of a web page. Neurocomputing 120: 524-535 (2013) - [j13]Lin Li, Guandong Xu, Zhenglu Yang, Peter Dolog, Yanchun Zhang, Masaru Kitsuregawa:
An efficient approach to suggesting topically related web queries using hidden topic model. World Wide Web 16(3): 273-297 (2013) - [j12]Guandong Xu, Jeffrey Xu Yu, Wookey Lee:
Guest editorial: social networks and social Web mining. World Wide Web 16(5-6): 541-544 (2013) - [c55]Xin Li, Lei Zhang, Enhong Chen, Yu Zong, Guandong Xu:
Mining Frequent Patterns in Print Logs with Semantically Alternative Labels. ADMA (2) 2013: 107-119 - [c54]Xiwei Chen, Li Liu, Dashi Luo, Guandong Xu, Yonggang Lu, Ming Liu, Rongmin Gao:
A Spectral Clustering Algorithm Based on Hierarchical Method. ADMI 2013: 111-123 - [c53]Yue You, Guandong Xu, Jian Cao, Yanchun Zhang, Guangyan Huang:
Leveraging Visual Features and Hierarchical Dependencies for Conference Information Extraction. APWeb 2013: 404-416 - [c52]Liang Wu, Alvin Chin, Guandong Xu, Liang Du, Xia Wang, Kangjian Meng, Yonggang Guo, Yuanchun Zhou:
Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers. DASFAA (2) 2013: 401-415 - [c51]Bin Fu, Guandong Xu, Zhihai Wang, Longbing Cao:
Leveraging Supervised Label Dependency Propagation for Multi-label Learning. ICDM 2013: 1061-1066 - [c50]Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Gu, Longbing Cao:
Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis. IJCAI 2013: 2626-2632 - [c49]Alfredo Cuzzocrea, Rim Moussa, Guandong Xu:
OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data. MEDI 2013: 38-49 - [c48]Lin Li, Xing Chen, Guandong Xu:
Suggestions for Fresh Search Queries by Mining Mircoblog Topics. BSI@PAKDD/BSIC@IJCAI 2013: 214-223 - [c47]Xun Yi, Russell Paulet, Elisa Bertino, Guandong Xu:
Private data warehouse queries. SACMAT 2013: 25-36 - [c46]Zhu Wang, Tiejian Luo, Guandong Xu, Xiang Wang:
A New Indexing Technique for Supporting By-attribute Membership Query of Multidimensional Data. WAIM Workshops 2013: 266-277 - [c45]Zhiang Wu, Wenpeng Yin, Jie Cao, Guandong Xu, Alfredo Cuzzocrea:
Community Detection in Multi-relational Social Networks. WISE (2) 2013: 43-56 - [c44]Fangfang Li, Guandong Xu, Longbing Cao, Xiaozhong Fan, Zhendong Niu:
CGMF: Coupled Group-Based Matrix Factorization for Recommender System. WISE (1) 2013: 189-198 - [c43]Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Can Zhu:
Personalized recommendation via cross-domain triadic factorization. WWW 2013: 595-606 - [e8]Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu:
Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I. Lecture Notes in Computer Science 7818, Springer 2013, ISBN 978-3-642-37452-4 [contents] - [e7]Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu:
Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II. Lecture Notes in Computer Science 7819, Springer 2013, ISBN 978-3-642-37455-5 [contents] - [e6]Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-Peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang:
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. Lecture Notes in Computer Science 8178, Springer 2013, ISBN 978-3-319-04047-9 [contents] - [r2]Frederico Araújo Durão, Karunakar Bayyapu, Guandong Xu, Peter Dolog, Ricardo Lage:
Medical Information Retrieval Enhanced with User's Query Expanded with Tag-Neighbors. Handbook of Medical and Healthcare Technologies 2013: 17-40 - 2012
- [j11]Zongda Wu, Guandong Xu, Yanchun Zhang, Peter Dolog, Chenglang Lu:
An Improved Contextual Advertising Matching Approach based on Wikipedia Knowledge. Comput. J. 55(3): 277-292 (2012) - [j10]Lin Li, Luo Zhong, Guandong Xu, Masaru Kitsuregawa:
A feature-free search query classification approach using semantic distance. Expert Syst. Appl. 39(12): 10739-10748 (2012) - [j9]Zongda Wu, Guandong Xu, Yanchun Zhang, Zhongsheng Cao, Guiling Li, Zhiwen Hu:
GMQL: A graphical multimedia query language. Knowl. Based Syst. 26: 135-143 (2012) - [j8]Zongda Wu, Guandong Xu, Yu Zong, Xun Yi, Enhong Chen, Yanchun Zhang:
Executing SQL queries over encrypted character strings in the Database-As-Service model. Knowl. Based Syst. 35: 332-348 (2012) - [c42]Xing Chen, Lin Li, Guandong Xu, Zhenglu Yang, Masaru Kitsuregawa:
Recommending Related Microblogs: A Comparison Between Topic and WordNet based Approaches. AAAI 2012: 2417-2418 - [c41]Li Liu, Dangping Fan, Ming Liu, Guandong Xu, Shiping Chen, Yuan Zhou, Xiwei Chen, Qianru Wang, Yufeng Wei:
A MapReduce-Based Parallel Clustering Algorithm for Large Protein-Protein Interaction Networks. ADMA 2012: 138-148 - [c40]Rong Pan, Peter Dolog, Guandong Xu:
KNN-Based Clustering for Improving Social Recommender Systems. ADMI 2012: 115-125 - [c39]Jia Zhou, Tiejian Luo, Guandong Xu:
Academic Recommendation on Graph with Dynamic Transfer Chain. CGC 2012: 331-336 - [c38]Rong Pan, Guandong Xu, Peter Dolog, Yu Zong:
Group Division for Recommendation in Tag-Based Systems. CGC 2012: 399-404 - [c37]Qiuzi Shangguan, Liang Hu, Jian Cao, Guandong Xu:
Book Recommendation Based on Joint Multi-relational Model. CGC 2012: 523-530 - [c36]Guandong Xu, Zongda Wu:
On Smart and Accurate Contextual Advertising. DASFAA Workshops 2012: 104 - [c35]Lin Li, Huifan Xiao, Guandong Xu:
Finding Related Micro-blogs Based on WordNet. DASFAA Workshops 2012: 115-122 - [c34]Yu Zong, Guandong Xu, Ping Jin, Xun Yi, Enhong Chen, Zongda Wu:
A projective clustering algorithm based on significant local dense areas. IJCNN 2012: 1-8 - [c33]Liang Hu, Jian Cao, Guandong Xu, Zhiping Gu:
Latent Informative Links Detection. KES 2012: 1233-1242 - [c32]Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu, Peter Dolog:
An Integrated Pruning Criterion for Ensemble Learning Based on Classification Accuracy and Diversity. KMO 2012: 47-58 - [c31]Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu, Peter Dolog:
Learning Tree Structure of Label Dependency for Multi-label Learning. PAKDD (1) 2012: 159-170 - [c30]Li Liu, Yuan Zhou, Ming Liu, Guandong Xu, Xiwei Chen, Dangping Fan, Qianru Wang:
Preemptive Hadoop Jobs Scheduling under a Deadline. SKG 2012: 72-79 - [e5]Quan Z. Sheng, Guoren Wang, Christian S. Jensen, Guandong Xu:
Web Technologies and Applications - 14th Asia-Pacific Web Conference, APWeb 2012, Kunming, China, April 11-13, 2012. Proceedings. Lecture Notes in Computer Science 7235, Springer 2012, ISBN 978-3-642-29252-1 [contents] - [e4]Jianxun Liu, Jinjun Chen, Guandong Xu:
2012 Second International Conference on Cloud and Green Computing, CGC 2012, Xiangtan, Hunan, China, November 1-3, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-3027-5 [contents] - [e3]Jing He, Xiaohui Liu, Elizabeth A. Krupinski, Guandong Xu:
Health Information Science - First International Conference, HIS 2012, Beijing, China, April 8-10, 2012. Proceedings. Lecture Notes in Computer Science 7231, Springer 2012, ISBN 978-3-642-29360-3 [contents] - 2011
- [j7]Yu Zong, Guandong Xu, Ping Jin, Yanchun Zhang, Enhong Chen:
HC_AB: A new heuristic clustering algorithm based on Approximate Backbone. Inf. Process. Lett. 111(17): 857-863 (2011) - [j6]Lin Li, Guandong Xu, Yanchun Zhang, Masaru Kitsuregawa:
Random walk based rank aggregation to improving web search. Knowl. Based Syst. 24(7): 943-951 (2011) - [j5]Guandong Xu, Lin Li, Yanchun Zhang, Xun Yi, Masaru Kitsuregawa:
Modeling user hidden navigational behavior for Web recommendation. Web Intell. Agent Syst. 9(3): 239-255 (2011) - [c29]Guandong Xu, Yanhui Gu, Peter Dolog, Yanchun Zhang, Masaru Kitsuregawa:
SemRec: A Semantic Enhancement Framework for Tag Based Recommendation. AAAI 2011: 1267-1272 - [c28]Yu Zong, Guandong Xu, Ping Jin, Yanchun Zhang, Enhong Chen, Rong Pan:
APPECT: An Approximate Backbone-Based Clustering Algorithm for Tags. ADMA (1) 2011: 175-189 - [c27]Zongda Wu, Guandong Xu, Rong Pan, Yanchun Zhang, Zhiwen Hu, Jianfeng Lu:
Leveraging Wikipedia concept and category information to enhance contextual advertising. CIKM 2011: 2105-2108 - [c26]Qingbiao Zhou, Jie Fang, Guandong Xu:
Incorporating Sentiment Analysis for Improved Tag-Based Recommendation. DASC 2011: 1222-1227 - [c25]Yu Zong, Guandong Xu, Ping Jin, Peter Dolog, Shan Jiang:
A Local Information Passing Clustering Algorithm for Tagging Systems. DASFAA Workshops 2011: 333-343 - [c24]Guandong Xu, Yu Zong, Rong Pan, Peter Dolog, Ping Jin:
On Kernel Information Propagation for Tag Clustering in Social Annotation Systems. KES (2) 2011: 505-514 - [c23]Lin Li, Guandong Xu, Zhenglu Yang, Yanchun Zhang, Masaru Kitsuregawa:
A Feature-Free Flexible Approach to Topical Classification of Web Queries. SKG 2011: 59-66 - [c22]Guandong Xu, Yanhui Gu, Yanchun Zhang, Zhenglu Yang, Masaru Kitsuregawa:
TOAST: A Topic-Oriented Tag-Based Recommender System. WISE 2011: 158-171 - 2010
- [j4]Yu Zong, Guandong Xu, Yanchun Zhang, He Jiang, Mingchu Li:
A robust iterative refinement clustering algorithm with smoothing search space. Knowl. Based Syst. 23(5): 389-396 (2010) - [c21]Yanchun Zhang, Guandong Xu, Liping Wang, Kerry Bennett:
A framework of data integration, knowledge management and user behaviour modelling in healthcare applications of diabetes. ADC 2010: 3-4 - [c20]Yoshinori Hijikata, Guandong Xu:
SNSMW 2010 Workshop Organizers' Message. DASFAA Workshops 2010: 239 - [c19]Guandong Xu, Yu Zong, Peter Dolog, Yanchun Zhang:
Co-clustering Analysis of Weblogs Using Bipartite Spectral Projection Approach. KES (3) 2010: 398-407 - [c18]Rong Pan, Guandong Xu, Peter Dolog:
A User Group Clustering Approach in Tagging Systems. LWA 2010: 315-321 - [c17]Yu Zong, Guandong Xu, Peter Dolog, Yanchun Zhang, Renjin Liu:
Co-clustering for Weblogs in Semantic Space. WISE 2010: 120-127
2000 – 2009
- 2009
- [j3]Yanchun Zhang, Guandong Xu:
On web communities mining and recommendation. Concurr. Comput. Pract. Exp. 21(5): 561-582 (2009) - [j2]Jaree Thongkam, Guandong Xu, Yanchun Zhang, Fuchun Huang:
Toward breast cancer survivability prediction models through improving training space. Expert Syst. Appl. 36(10): 12200-12209 (2009) - [c16]Qingbiao Zhou, Guandong Xu, Yu Zong:
Web Co-clustering of Usage Network Using Tensor Decomposition. Web Intelligence/IAT Workshops 2009: 311-314 - [c15]Lin Li, Guandong Xu, Yanchun Zhang, Masaru Kitsuregawa:
Enhancing Web Search by Aggregating Results of Related Web Queries. WISE 2009: 203-217 - [r1]Yanchun Zhang, Guandong Xu:
Singular Value Decomposition. Encyclopedia of Database Systems 2009: 2657-2658 - 2008
- [c14]Jaree Thongkam, Guandong Xu, Yanchun Zhang, Fuchun Huang:
Support Vector Machine for Outlier Detection in Breast Cancer Survivability Prediction. APWeb Workshops 2008: 99-109 - [c13]Guandong Xu, Yanchun Zhang, Xun Yi:
Modelling User Behaviour for Web Recommendation Using LDA Model. Web Intelligence/IAT Workshops 2008: 529-532 - [c12]Jaree Thongkam, Guandong Xu, Yanchun Zhang:
AdaBoost algorithm with random forests for predicting breast cancer survivability. IJCNN 2008: 3062-3069 - [c11]Yanchun Zhang, Guandong Xu:
Using Web Clustering for Web Communities Mining and Analysis. Web Intelligence 2008: 20-31 - [e2]Yanchun Zhang, Ge Yu, Elisa Bertino, Guandong Xu:
Progress in WWW Research and Development, 10th Asia-Pacific Web Conference, APWeb 2008, Shenyang, China, April 26-28, 2008. Proceedings. Lecture Notes in Computer Science 4976, Springer 2008, ISBN 978-3-540-78848-5 [contents] - [e1]Yoshiharu Ishikawa, Jing He, Guandong Xu, Yong Shi, Guangyan Huang, Chaoyi Pang, Qing Zhang, Guoren Wang:
Advanced Web and NetworkTechnologies, and Applications, APWeb 2008 International Workshops: BIDM, IWHDM, and DeWeb Shenyang, China, April 26-28, 2008. Revised Selected Papers. Lecture Notes in Computer Science 4977, Springer 2008, ISBN 978-3-540-89375-2 [contents] - 2007
- [c10]Yanchun Zhang, Guandong Xu:
On Web Communities Mining and Analysis. SKG 2007: 20-25 - 2006
- [j1]Guangmin Sun, Xiaoying Dong, Guandong Xu:
Tumor tissue identification based on gene expression data using DWT feature extraction and PNN classifier. Neurocomputing 69(4-6): 387-402 (2006) - [c9]Guandong Xu, Yanchun Zhang, Xiaofang Zhou:
Discovering task-oriented usage pattern for web recommendation. ADC 2006: 167-174 - [c8]Guandong Xu, Yanchun Zhang, Rezaul K. Begg:
Mining Gait Pattern for Clinical Locomotion Diagnosis Based on Clustering Techniques. ADMA 2006: 296-307 - 2005
- [c7]Guandong Xu, Yanchun Zhang, Jiangang Ma, Xiaofang Zhou:
Discovering User Access Pattern Based on Probabilistic Latent Factor Model. ADC 2005: 27-35 - [c6]Yanchun Zhang, Guandong Xu, Xiaofang Zhou:
A Latent Usage Approach for Clustering Web Transaction and Building User Profile. ADMA 2005: 31-42 - [c5]Guandong Xu, Yanchun Zhang, Xiaofang Zhou:
Towards User Profiling for Web Recommendation. Australian Conference on Artificial Intelligence 2005: 415-424 - [c4]Wenbin Liu, Xiangou Zhu, Guandong Xu, Qiang Zhang, Lin Gao:
A DNA Based Evolutionary Algorithm for the Minimal Set Cover Problem. ICIC (2) 2005: 80-89 - [c3]Guandong Xu, Yanchun Zhang, Xiaofang Zhou:
Using Probabilistic Latent Semantic Analysis for Web Page Grouping. RIDE 2005: 29-36 - [c2]Guandong Xu, Yanchun Zhang, Xiaofang Zhou:
A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis. WISE 2005: 15-28 - 2004
- [c1]Xiaoying Dong, Guangmin Sun, Guandong Xu:
DWT based feature extraction of gene expression data for tissue classification. Neural Networks and Computational Intelligence 2004: 37-42
Coauthor Index
Shuiguang Deng
aka: ShuiGuang Deng
aka: ShuiGuang Deng
[j179] [j176] [j174] [j171] [j170] [j168] [j159] [j156] [j153] [j144] [j143] [j140] [j136] [j134] [c214] [c208] [i75] [j131] [j121] [j119] [j116] [c192] [c186] [c180] [i62] [i61] [i57] [i56] [j106] [j102] [j99] [j96] [j94] [c163] [c159] [c152] [i45] [i40] [i39] [j86] [j76] [c151] [c147] [c145] [c143] [i30] [i29] [i26] [i25] [i19] [j71] [c129] [i17] [i14] [c126] [c124]
Muhammad Imran Razzak
aka: Imran Razzak
aka: Imran Razzak