default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGuandong Xu 0001
Guangdong Xu 0001
Person information
- affiliation: University of Technology Sydney, School of Computer Science and Data Science, Advanced Analytics Institute, Sydney, Australia
- affiliation (PhD 2009): Victoria University, Melbourne, Australia
Other persons with the same name
- Guandong Xu
- Guangdong Xu — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j165]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)- 2024
- [j164]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) - [j163]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) - [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, Guangdong 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, Guangdong 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) - [c208]Ruilin Zhao, Feng Zhao, Liang Hu, Guandong Xu:
Graph Reasoning Transformers for Knowledge-Aware Question Answering. AAAI 2024: 19652-19660 - [c207]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 - [c206]Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain, Guandong Xu:
Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation. ICDE 2024: 544-556 - [c205]Xiuwen Gong, Nitin Bisht, Guandong Xu:
Does Label Smoothing Help Deep Partial Label Learning? ICML 2024 - [c204]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 - [c203]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 - [c202]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 - [c201]Kangzheng Liu, Feng Zhao, Yu Yang, Guandong Xu:
DySarl: Dynamic Structure-Aware Representation Learning for Multimodal Knowledge Graph Reasoning. ACM Multimedia 2024: 8247-8256 - [c200]Jiaqi Deng, Kaize Shi, Huan Huo, Dingxian Wang, Guandong Xu:
Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement. SIGIR 2024: 2870-2874 - [c199]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 - [c198]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 - [c197]Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin:
Challenging Low Homophily in Social Recommendation. WWW 2024: 3476-3484 - [i80]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) - [i79]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) - [i78]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) - [i77]Guiming Cao, Kaize Shi, Hong Fu, Huaiwen Zhang, Guandong Xu:
APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning. CoRR abs/2401.06827 (2024) - [i76]Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin:
Challenging Low Homophily in Social Recommendation. CoRR abs/2401.14606 (2024) - [i75]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) - [i74]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) - [i73]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) - [i72]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) - [i71]Kaize Shi, Xueyao Sun, Qing Li, Guandong Xu:
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation. CoRR abs/2405.03085 (2024) - [i70]Xueyao Sun, Kaize Shi, Haoran Tang, Guandong Xu, Qing Li:
Expert-Guided Extinction of Toxic Tokens for Debiased Generation. CoRR abs/2405.19299 (2024) - [i69]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) - [i68]Wenna Lai, Haoran Xie, Guandong Xu, Qing Li:
RVISA: Reasoning and Verification for Implicit Sentiment Analysis. CoRR abs/2407.02340 (2024) - [i67]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
NarrationDep: Narratives on Social Media For Automatic Depression Detection. CoRR abs/2407.17174 (2024) - [i66]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) - [i65]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) - [i64]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) - [i63]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) - 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) - [c196]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 - [c195]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 - [c194]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 - [c193]Yakun Chen, Kaize Shi, Xianzhi Wang, Guandong Xu:
MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation. ADMA (5) 2023: 180-194 - [c192]Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin:
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CIKM 2023: 2795-2804 - [c191]Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu:
Causality-guided Graph Learning for Session-based Recommendation. CIKM 2023: 3083-3093 - [c190]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 - [c189]Kangzheng Liu, Feng Zhao, Guandong Xu, Shiqing Wu:
IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting. ICDM 2023: 408-417 - [c188]Shiqing Wu, Guandong Xu, Xianzhi Wang:
SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems. ICDM 2023: 1421-1426 - [c187]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 - [c186]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 - [c185]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 - [c184]David Hason Rudd, Huan Huo, Guandong Xu:
An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance. PAKDD (3) 2023: 219-231 - [c183]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 - [c182]Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li:
Dynamic Graph Evolution Learning for Recommendation. SIGIR 2023: 1589-1598 - [c181]Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu:
Simplifying Graph-based Collaborative Filtering for Recommendation. WSDM 2023: 60-68 - [c180]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 - [c179]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]