Guandong Xu, PhD

Guandong Xu, PhD

University of Technology

H-index: 45

Asia-India

About Guandong Xu, PhD

Guandong Xu, PhD, With an exceptional h-index of 45 and a recent h-index of 41 (since 2020), a distinguished researcher at University of Technology, specializes in the field of Recommender Systems, Data Analytics, Behavior Modeling, Social Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation

Dyformer: A dynamic transformer-based architecture for multivariate time series classification

Reinforced path reasoning for counterfactual explainable recommendation

IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification

Multi-view GCN for loan default risk prediction

APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning

Integrating UN Sustainable Development Goals into family business practices: a perspective article

Achieving counterfactual fairness with imperfect structural causal model

Guandong Xu, PhD Information

University

Position

Professor in Data Science

Citations(all)

9614

Citations(since 2020)

7598

Cited By

4014

hIndex(all)

45

hIndex(since 2020)

41

i10Index(all)

181

i10Index(since 2020)

146

Email

University Profile Page

University of Technology

Google Scholar

View Google Scholar Profile

Guandong Xu, PhD Skills & Research Interests

Recommender Systems

Data Analytics

Behavior Modeling

Social Computing

Top articles of Guandong Xu, PhD

Title

Journal

Author(s)

Publication Date

Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation

arXiv preprint arXiv:2404.15687

Zhaoyang Chu

Yao Wan

Qian Li

Yang Wu

Hongyu Zhang

...

2024/4/24

Dyformer: A dynamic transformer-based architecture for multivariate time series classification

Information Sciences

Chao Yang

Xianzhi Wang

Lina Yao

Guodong Long

Guandong Xu

2024/1/1

Reinforced path reasoning for counterfactual explainable recommendation

IEEE Transactions on Knowledge and Data Engineering

Xiangmeng Wang

Qian Li

Dianer Yu

Qing Li

Guandong Xu

2024/1/15

IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification

Abdullah Alsuhaibani

Hamad Zogan

Imran Razzak

Shoaib Jameel

Guandong Xu

2024/3/4

Multi-view GCN for loan default risk prediction

Neural Computing and Applications

Zihao Li

Yakun Chen

Xianzhi Wang

Lina Yao

Guandong Xu

2024/4/19

APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning

arXiv preprint arXiv:2401.06827

Guiming Cao

Kaize Shi

Hong Fu

Huaiwen Zhang

Guandong Xu

2024/1/12

Integrating UN Sustainable Development Goals into family business practices: a perspective article

Journal of Family Business Management

Bavly Hanna

Guandong Xu

Xianzhi Wang

Jahangir Hossain

2024/2/26

Achieving counterfactual fairness with imperfect structural causal model

arXiv preprint arXiv:2303.14665

Tri Dung Duong

Qian Li

Guandong Xu

2023/3/26

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation

arXiv preprint arXiv:2401.05744

Yicong Li

Xiangguo Sun

Hongxu Chen

Sixiao Zhang

Yu Yang

...

2024/1/11

CrimeAlarm: Towards Intensive Intent Dynamics in Fine-grained Crime Prediction

arXiv preprint arXiv:2404.06756

Kaixi Hu

Lin Li

Qing Xie

Xiaohui Tao

Guandong Xu

2024/4/10

Temporal Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation

arXiv preprint arXiv:2402.11558

Yakun Chen

Kaize Shi

Zhangkai Wu

Juan Chen

Xianzhi Wang

...

2024/2/18

Strategies for evaluating visual analytics systems: A systematic review and new perspectives

Md Rafiqul Islam

Shanjita Akter

Linta Islam

Imran Razzak

Xianzhi Wang

...

2024/1

Graph Reasoning Transformers for Knowledge-Aware Question Answering

Proceedings of the AAAI Conference on Artificial Intelligence

Ruilin Zhao

Feng Zhao

Liang Hu

Guandong Xu

2024/3/24

An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations

Advances in Neural Information Processing Systems

Haoran Yang

Xiangyu Zhao

Yicong Li

Hongxu Chen

Guandong Xu

2024/2/13

Exploring explicit and implicit graph learning for multivariate time series imputation

Engineering Applications of Artificial Intelligence

Yakun Chen

Ruotong Hu

Zihao Li

Chao Yang

Xianzhi Wang

...

2024/1/1

Challenging Low Homophily in Social Recommendation

WWW 2024

Wei Jiang

Xinyi Gao

Guandong Xu

Tong Chen

Hongzhi Yin

2024/1/26

Counterfactual explanation for fairness in recommendation

ACM Transactions on Information Systems

Xiangmeng Wang

Qian Li

Dianer Yu

Qing Li

Guandong Xu

2024/3/22

From Occupations to Tasks: A New Perspective on Automatability Prediction Using BERT

Dawei Xu

Haoran Yang

Marian-Andrei Rizoiu

Guandong Xu

2023/10/30

CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows

Tri Dung Duong

Qian Li

Guandong Xu

2023/5/25

GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation

arXiv preprint arXiv:2311.14332

Yakun Chen

Xianzhi Wang

Guandong Xu

2023/11/24

See List of Professors in Guandong Xu, PhD University(University of Technology)

Co-Authors

H-index: 194
Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

H-index: 79
Enhong Chen

Enhong Chen

University of Science and Technology of China

H-index: 67
Yanchun Zhang

Yanchun Zhang

Victoria University

H-index: 65
Longbing Cao

Longbing Cao

University of Technology & Management

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