Deep Multimodal Hashing with Orthogonal Regularization. - Daixin Wang; Peng Cui 001; Mingdong Ou; Wenwu Zhu 001 (IJCAI, 2015)

Learning Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure. - Daixin Wang; Peng Cui 001; Mingdong Ou; Wenwu Zhu 001 (IEEE Trans. Multim., 2015)

Structural Deep Network Embedding. - Daixin Wang; Peng Cui 001; Wenwu Zhu 001 (KDD, 2016)

Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation. - Daixin Wang; Peng Cui 001; Wenwu Zhu 001 (AAAI, 2018)

Deep Variational Network Embedding in Wasserstein Space. - Dingyuan Zhu; Peng Cui 001; Daixin Wang; Wenwu Zhu 001 (KDD, 2018)

A Semi-Supervised Graph Attentive Network for Financial Fraud Detection. - Daixin Wang; Yuan Qi 001; Jianbin Lin; Peng Cui 001; Quanhui Jia; Zhen Wang; Yanming Fang; Quan Yu; Jun Zhou 011; Shuang Yang (ICDM, 2019)

RNE: A Scalable Network Embedding for Billion-Scale Recommendation. - Jianbin Lin; Daixin Wang; Lu Guan; Yin Zhao; Binqiang Zhao; Jun Zhou 011; Xiaolong Li 005; Yuan (Alan) Qi (PAKDD (2), 2019)

Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. - Ke Tu; Peng Cui 001; Daixin Wang; Zhiqiang Zhang 012; Jun Zhou 011; Yuan Qi 001; Wenwu Zhu 001 (CIKM, 2021)

Low-dimensional Alignment for Cross-Domain Recommendation. - Tianxin Wang; Fuzhen Zhuang; Zhiqiang Zhang 012; Daixin Wang; Jun Zhou 011; Qing He 003 (CIKM, 2021)

Temporal-Aware Graph Neural Network for Credit Risk Prediction. - Daixin Wang; Zhiqiang Zhang 012; Jun Zhou 011; Peng Cui 001; Jingli Fang; Quanhui Jia; Yanming Fang; Yuan Qi 001 (SDM, 2021)

Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation. - Ke Tu; Peng Cui 001; Daixin Wang; Zhiqiang Zhang 012; Jun Zhou 011; Yuan Qi 001; Wenwu Zhu 001 (CoRR, 2021)

A Graph Learning Based Framework for Billion-Scale Offline User Identification. - Daixin Wang; Zujian Weng; Zhengwei Wu; Zhiqiang Zhang 012; Peng Cui 001; Hongwei Zhao; Jun Zhou 011 (KDD, 2022)

Adversarially Robust Neural Architecture Search for Graph Neural Networks. - Beini Xie; Heng Chang; Ziwei Zhang 001; Xin Wang 019; Daixin Wang; Zhiqiang Zhang 012; Rex Ying; Wenwu Zhu 001 (CVPR, 2023)

Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks. - Yangyang Hou; Daixin Wang; Binbin Hu; Ruoyu Zhuang; Zhiqiang Zhang 012; Jun Zhou 011; Feng Zhao; Yulin Kang; Zhanwen Qiao (DASFAA (4), 2023)

Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning. - Daixin Wang; Zhiqiang Zhang 012; Yeyu Zhao; Kai Huang; Yulin Kang; Jun Zhou 011 (KDD, 2023)

Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling. - Dingyuan Zhu; Daixin Wang; Zhiqiang Zhang 012; Kun Kuang; Yan Zhang; Yulin Kang; Jun Zhou 011 (WWW, 2023)

Granola: Graph Neural Network Tackling Tabular Data for Online Loan Default Prediction. - Borui Ye; Shuo Yang; Meiqi Zhu; Binbin Hu; Daixin Wang; Zhiqiang Zhang 012; Youqiang He; Zhiyang Hu; Huimei He; Jun Zhou 011 (DASFAA (7), 2024)

Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. - Yakun Wang 001; Daixin Wang; Hongrui Liu; Binbin Hu; Yingcui Yan; Qiyang Zhang; Zhiqiang Zhang 012 (KDD, 2024)

Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning. - Daixin Wang; Zhiqiang Zhang; Yeyu Zhao; Kai Huang; Yulin Kang; Jun Zhou (CoRR, 2024)

Graph 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 (CoRR, 2024)

Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. - Xin Wang 019; Heng Chang; Beini Xie; Tian Bian; Shiji Zhou; Daixin Wang; Zhiqiang Zhang 012; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation. - Wei Chen 061; Guo Ye; Yakun Wang 001; Zhao Zhang 011; Libang Zhang; Daixin Wang; Zhiqiang Zhang 012; Fuzhen Zhuang (AAAI, 2025)

Stable Representation Learning on Graphs from Multiple Environments with Structure Distribution Shift. - Tong Zhao; Daixin Wang; Zhiqiang Zhang 012; Yulin Kang; Jun Zhou 011 (KDD (1), 2025)

IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification. - Zhixun Li; Dingshuo Chen; Tong Zhao; Daixin Wang; Hongrui Liu; Zhiqiang Zhang 012; Jun Zhou 011; Jeffrey Xu Yu (WWW, 2025)

Whitening-based Adversarial Bi-Regressor for Cross-platform Insurance Claims Prediction. - Xiaoyu Liu; Yiqing Wu; Dingyuan Zhu; Yifan Wu; Daixin Wang; Xiaobo Qin; Fuzhen Zhuang (WWW (Companion Volume), 2025)

Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging. - Jinluan Yang; Dingnan Jin; Anke Tang; Li Shen 008; Didi Zhu; Zhengyu Chen 001; Daixin Wang; Qing Cui; Zhiqiang Zhang 012; Jun Zhou 011; Fei Wu 001; Kun Kuang (CoRR, 2025)

Chaotic Dynamics and Self-Recovery Control for a Magnetic-Levitation Spacecraft Under Single-Rod Fault. - He Liao; Daixin Wang; Jinjin Xie; Yi Xu; Chuang Yao; Zhongxing Tang (IEEE Trans. Aerosp. Electron. Syst., 2025)