Yingtong Dou

According to our database, Yingtong Dou authored at least 24 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adversarial Attack and Defense on Graph Data: A Survey.

Lichao Sun, Yingtong Dou, Carl Yang, Kai Zhang, Ji Wang, Philip S. Yu, Lifang He, Bo Li

IEEE Trans. Knowl. Data Eng., August, 2023

Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.

Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He

IEEE Trans. Knowl. Data Eng., 2023

Attacking Fake News Detectors via Manipulating News Social Engagement.

Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu

Proceedings of the ACM Web Conference 2023, 2023

2022

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks.

Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu

ACM Trans. Inf. Syst., 2022

Automating DBSCAN via Deep Reinforcement Learning.

Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu

CoRR, 2022

Benchmarking Node Outlier Detection on Graphs.

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

CoRR, 2022

PyGOD: A Python Library for Graph Outlier Detection.

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

CoRR, 2022

Robust Graph Learning for Misbehavior Detection.

Yingtong Dou

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Automating DBSCAN via Deep Reinforcement Learning.

Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.

Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu

Proceedings of the WWW '21: The Web Conference 2021, 2021

ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation.

Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

User Preference-aware Fake News Detection.

Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Cross-lingual COVID-19 Fake News Detection.

Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu

Proceedings of the 2021 International Conference on Data Mining, 2021

Deep Fraud Detection on Non-attributed Graph.

Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection.

Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Robust Spammer Detection by Nash Reinforcement Learning.

Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters.

Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Uncovering download fraud activities in mobile app markets.

Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Efficient CPS model based online opinion governance modeling and evaluation for emergency accidents.

Xiao Long Deng, Yin Luan Yu, Danhuai Guo, Yingtong Dou

GeoInformatica, 2018

Robust closed-loop control of vegetable production in plant factory.

Xiaolong Deng, Yingtong Dou, Dawei Hu

Comput. Electron. Agric., 2018

2017

A Novel Centrality Cascading Based Edge Parameter Evaluation Method for Robust Influence Maximization.

Xiaolong Deng, Yingtong Dou, Tiejun Lv, Quoc Viet Hung Nguyen

IEEE Access, 2017

2016

A Survey of Collaborative Filtering Algorithms for Social Recommender Systems.

Yingtong Dou, Hao Yang, Xiaolong Deng

Proceedings of the 12th International Conference on Semantics, Knowledge and Grids, 2016

CPS model based online opinion governance modeling and evaluation of emergency accidents.

Xiaolong Deng, Yingtong Dou, Yihua Huang

Proceedings of the Second ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management, 2016