Yingtong Dou

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 36

Top Topics

Collaborative Filtering

Fraud Detection

Influence Maximization

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
Attacking Fake News Detectors via Manipulating News Social Engagement. CoRR (2023)
Lichao Sun, Yingtong Dou, Carl Yang, Kai Zhang, Ji Wang, Philip S. Yu, Lifang He, Bo Li
Adversarial Attack and Defense on Graph Data: A Survey. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
Attacking Fake News Detectors via Manipulating News Social Engagement. WWW (2023)
Yingtong Dou
Robust Graph Learning for Misbehavior Detection. WSDM (2022)
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. NeurIPS (2022)
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
Benchmarking Node Outlier Detection on Graphs. CoRR (2022)
Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks. ACM Trans. Inf. Syst. 40 (4) (2022)
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, George H. Chen, Zhihao Jia, Philip S. Yu
PyGOD: A Python Library for Graph Outlier Detection. CoRR (2022)
Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu
Automating DBSCAN via Deep Reinforcement Learning. CIKM (2022)
Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu
Automating DBSCAN via Deep Reinforcement Learning. CoRR (2022)
Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu
Deep Fraud Detection on Non-attributed Graph. CoRR (2021)
Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu
Deep Fraud Detection on Non-attributed Graph. IEEE BigData (2021)
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
User Preference-aware Fake News Detection. SIGIR (2021)
Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. CoRR (2021)
Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu
Cross-lingual COVID-19 Fake News Detection. CoRR (2021)
Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks. CoRR (2021)
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
User Preference-aware Fake News Detection. CoRR (2021)
Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. SIGIR (2021)
Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. CoRR (2021)
Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. CoRR (2021)
Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. WWW (2021)
Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu
Cross-lingual COVID-19 Fake News Detection. ICDM (Workshops) (2021)
Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. CoRR (2020)
Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. CIKM (2020)
Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. SIGIR (2020)
Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
Robust Spammer Detection by Nash Reinforcement Learning. CoRR (2020)
Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
Robust Spammer Detection by Nash Reinforcement Learning. KDD (2020)
Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. CoRR (2020)
Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu
Uncovering download fraud activities in mobile app markets. ASONAM (2019)
Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu
Uncovering Download Fraud Activities in Mobile App Markets. CoRR (2019)
Xiaolong Deng, Yingtong Dou, Dawei Hu
Robust closed-loop control of vegetable production in plant factory. Comput. Electron. Agric. 155 (2018)
Xiao Long Deng, Yin Luan Yu, Danhuai Guo, Yingtong Dou
Efficient CPS model based online opinion governance modeling and evaluation for emergency accidents. GeoInformatica 22 (2) (2018)
Xiaolong Deng, Yingtong Dou, Tiejun Lv, Quoc Viet Hung Nguyen
A Novel Centrality Cascading Based Edge Parameter Evaluation Method for Robust Influence Maximization. IEEE Access 5 (2017)
Xiaolong Deng, Yingtong Dou, Yihua Huang
CPS model based online opinion governance modeling and evaluation of emergency accidents. EM-GIS (2016)
Yingtong Dou, Hao Yang, Xiaolong Deng
A Survey of Collaborative Filtering Algorithms for Social Recommender Systems. SKG (2016)