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

High-Order Proximity Preserved Embedding for Dynamic Networks. - Dingyuan Zhu; Peng Cui 001; Ziwei Zhang 001; Jian Pei 001; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2018)

Robust Graph Convolutional Networks Against Adversarial Attacks. - Dingyuan Zhu; Ziwei Zhang 001; Peng Cui 001; Wenwu Zhu 001 (KDD, 2019)

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)

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)

Personalized Binomial DAGs Learning with Network Structured Covariates. - Boxin Zhao; Weishi Wang; Dingyuan Zhu; Ziqi Liu; Dong Wang 062; Zhiqiang Zhang 012; Jun Zhou 011; Mladen Kolar (CoRR, 2024)

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)