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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
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2020 – today
- 2025
[j167]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)- [j166]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) - 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, 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) - [c221]Ruilin Zhao, Feng Zhao, Liang Hu, Guandong Xu:
Graph Reasoning Transformers for Knowledge-Aware Question Answering. AAAI 2024: 19652-19660 - [c220]Shiqing Wu, Guandong Xu:
Learning Influential Relationships for Implicit Influence Maximization in Unknown Networks. BESC 2024: 1-7 - [c219]Chengtao Cai, Xiaohui Tao, Jian Cao, Qilong Han, Guandong Xu:
Preface. BESC 2024: 1 - [c218]Chengtao Cai, Xiaohui Tao, Jian Cao, Qilong Han, Guandong Xu:
Welcome Message. BESC 2024: 1-2 - [c217]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 - [c216]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 - [c215]Dan Lu, Xu Chen, Rui Chen, Shiqing Wu, Guandong Xu:
Fairness-Aware Mutual Information for Multimodal Recommendation. BESC 2024: 1-9 - [c214]Dan Lu, Hao Zhang, Lijie Li, Shiqing Wu, Guandong Xu:
Cascading Hypergraph Convolution Networks for Multi-Behavior Sequential Recommendation. BESC 2024: 1-7 - [c213]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 - [c212]Shanshan Sui, Qilong Han, Dan Lu, Shiqing Wu, Guandong Xu:
Enhancing Traffic Prediction via Spatial Multi-Granularity Co-Evolving Mechanism. BESC 2024: 1-8 - [c211]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 - [c210]Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain, Guandong Xu:
Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation. ICDE 2024: 544-556 - [c209]Xiuwen Gong, Nitin Bisht, Guandong Xu:
Does Label Smoothing Help Deep Partial Label Learning? ICML 2024 - [c208]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 - [c207]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 - [c206]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 - [c205]Kangzheng Liu, Feng Zhao, Yu Yang, Guandong Xu:
DySarl: Dynamic Structure-Aware Representation Learning for Multimodal Knowledge Graph Reasoning. ACM Multimedia 2024: 8247-8256 - [c204]Jiaqi Deng, Kaize Shi, Huan Huo, Dingxian Wang, Guandong Xu:
Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement. SIGIR 2024: 2870-2874 - [c203]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 - [c202]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 - [c201]Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin:
Challenging Low Homophily in Social Recommendation. WWW 2024: 3476-3484 - [i81]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) - [i80]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) - [i79]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) - [i78]Guiming Cao, Kaize Shi, Hong Fu, Huaiwen Zhang, Guandong Xu:
APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning. CoRR abs/2401.06827 (2024) - [i77]Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin:
Challenging Low Homophily in Social Recommendation. CoRR abs/2401.14606 (2024) - [i76]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) - [i75]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) - [i74]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) - [i73]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) - [i72]Kaize Shi, Xueyao Sun, Qing Li, Guandong Xu:
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation. CoRR abs/2405.03085 (2024) - [i71]Xueyao Sun, Kaize Shi, Haoran Tang, Guandong Xu, Qing Li:
Expert-Guided Extinction of Toxic Tokens for Debiased Generation. CoRR abs/2405.19299 (2024) - [i70]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) - [i69]Wenna Lai, Haoran Xie, Guandong Xu, Qing Li:
RVISA: Reasoning and Verification for Implicit Sentiment Analysis. CoRR abs/2407.02340 (2024) - [i68]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
NarrationDep: Narratives on Social Media For Automatic Depression Detection. CoRR abs/2407.17174 (2024) - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [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) - [c200]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 - [c199]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 - [c198]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 - [c197]Yakun Chen, Kaize Shi, Xianzhi Wang, Guandong Xu:
MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation. ADMA (5) 2023: 180-194 - [c196]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 - [c195]Khanh-Van Nguyen, Peter Tilocca, Huan Huo, Guandong Xu:
Underwriting Knowledge Graph Construction, Maintenance and Its Application on Explainable Exclusion. BESC 2023: 1-7 - [c194]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 - [c193]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 - [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