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Daixin Wang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

22

Venues

10

Active years

2015–2025

Best venue rank

A*

Where they publish

Papers

22 indexed papers, newest first.

YearVenueTitleAuthors
2025AAAISmoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation.Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daixin Wang, Zhiqiang Zhang, Fuzhen Zhuang
2025KDDEnhanced Insurance Claim Prediction via Decoupled Graph Neural Networks with Pseudo Labeling.Hongrui Liu, Daixin Wang, Yifan Wu, Zhiqiang Zhang, Xiaobo Qin
2025KDDFLAG: Fraud Detection with LLM-enhanced Graph Neural Network.Chengdong Yang, Hongrui Liu, Daixin Wang, Zhiqiang Zhang, Cheng Yang, Chuan Shi
2025KDDStable Representation Learning on Graphs from Multiple Environments with Structure Distribution Shift.Tong Zhao, Daixin Wang, Zhiqiang Zhang, Yulin Kang, Jun Zhou
2025WWWIceBerg: Debiased Self-Training for Class-Imbalanced Node Classification.Zhixun Li, Dingshuo Chen, Tong Zhao, Daixin Wang, Hongrui Liu, Zhiqiang Zhang, Jun Zhou, Jeffrey Xu Yu
2025WWWWhitening-based Adversarial Bi-Regressor for Cross-platform Insurance Claims Prediction.Xiaoyu Liu, Yiqing Wu, Dingyuan Zhu, Yifan Wu, Daixin Wang, Xiaobo Qin, Fuzhen Zhuang
2024DASFAAGranola: Graph Neural Network Tackling Tabular Data for Online Loan Default Prediction.Borui Ye, Shuo Yang, Meiqi Zhu, Binbin Hu, Daixin Wang, Zhiqiang Zhang, Youqiang He, Zhiyang Hu, Huimei He, Jun Zhou
2024KDDOptimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement.Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang
2023CVPRAdversarially Robust Neural Architecture Search for Graph Neural Networks.Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu
2023DASFAAUnsupervised Fraud Transaction Detection on Dynamic Attributed Networks.Yangyang Hou, Daixin Wang, Binbin Hu, Ruoyu Zhuang, Zhiqiang Zhang, Jun Zhou, Feng Zhao, Yulin Kang, Zhanwen Qiao
2023KDDFinancial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning.Daixin Wang, Zhiqiang Zhang, Yeyu Zhao, Kai Huang, Yulin Kang, Jun Zhou
2023WWWGraph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling.Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou
2022KDDA Graph Learning Based Framework for Billion-Scale Offline User Identification.Daixin Wang, Zujian Weng, Zhengwei Wu, Zhiqiang Zhang, Peng Cui, Hongwei Zhao, Jun Zhou
2021CIKMConditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation.Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu
2021CIKMLow-dimensional Alignment for Cross-Domain Recommendation.Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He
2021SDMTemporal-Aware Graph Neural Network for Credit Risk Prediction.Daixin Wang, Zhiqiang Zhang, Jun Zhou, Peng Cui, Jingli Fang, Quanhui Jia, Yanming Fang, Yuan Qi
2019ICDMA Semi-Supervised Graph Attentive Network for Financial Fraud Detection.Daixin Wang, Yuan Qi, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang
2019PAKDDRNE: A Scalable Network Embedding for Billion-Scale Recommendation.Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi
2018AAAIDeep Asymmetric Transfer Network for Unbalanced Domain Adaptation.Daixin Wang, Peng Cui, Wenwu Zhu
2018KDDDeep Variational Network Embedding in Wasserstein Space.Dingyuan Zhu, Peng Cui, Daixin Wang, Wenwu Zhu
2016KDDStructural Deep Network Embedding.Daixin Wang, Peng Cui, Wenwu Zhu
2015IJCAIDeep Multimodal Hashing with Orthogonal Regularization.Daixin Wang, Peng Cui, Mingdong Ou, Wenwu Zhu