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ORCIDYingtong Dou
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2020 – today
- 2024
[j7]Kay Liu, Yingtong Dou, Xueying Ding, Xiyang Hu, Ruitong Zhang, Hao Peng, Lichao Sun, Philip S. Yu:
PyGOD: A Python Library for Graph Outlier Detection. J. Mach. Learn. Res. 25: 141:1-141:9 (2024)- [i16]Liang Wang, Shubham Jain, Yingtong Dou, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Prince Osei Aboagye, Yan Zheng, Xin Dai, Zhongfang Zhuang, Uday Singh Saini, Wei Zhang:
Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction. CoRR abs/2409.04649 (2024) - 2023
- [j6]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): 560-574 (2023) - [j5]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): 7693-7711 (2023) - [c15]Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu:
Attacking Fake News Detectors via Manipulating News Social Engagement. WWW 2023: 3978-3986 - [i15]Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu:
Attacking Fake News Detectors via Manipulating News Social Engagement. CoRR abs/2302.07363 (2023) - 2022
- [j4]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): 69:1-69:46 (2022) - [c14]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: 2620-2630 - [c13]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 - [c12]Yingtong Dou:
Robust Graph Learning for Misbehavior Detection. WSDM 2022: 1545-1546 - [i14]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 abs/2204.12095 (2022) - [i13]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 abs/2206.10071 (2022) - [i12]Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu:
Automating DBSCAN via Deep Reinforcement Learning. CoRR abs/2208.04537 (2022) - 2021
- [c11]Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu:
Deep Fraud Detection on Non-attributed Graph. IEEE BigData 2021: 5470-5473 - [c10]Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu:
Cross-lingual COVID-19 Fake News Detection. ICDM (Workshops) 2021: 859-862 - [c9]Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun:
User Preference-aware Fake News Detection. SIGIR 2021: 2051-2055 - [c8]Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu:
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. SIGIR 2021: 2141-2145 - [c7]Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu:
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. WWW 2021: 3383-3395 - [i11]Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu:
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. CoRR abs/2101.08747 (2021) - [i10]Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu:
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks. CoRR abs/2104.07886 (2021) - [i9]Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He:
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. CoRR abs/2104.07892 (2021) - [i8]Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun:
User Preference-aware Fake News Detection. CoRR abs/2104.12259 (2021) - [i7]Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu:
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. CoRR abs/2105.02254 (2021) - [i6]Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu:
Deep Fraud Detection on Non-attributed Graph. CoRR abs/2110.01171 (2021) - [i5]Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu:
Cross-lingual COVID-19 Fake News Detection. CoRR abs/2110.06495 (2021) - 2020
- [c6]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: 315-324 - [c5]Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie:
Robust Spammer Detection by Nash Reinforcement Learning. KDD 2020: 924-933 - [c4]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: 1569-1572 - [i4]Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng:
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. CoRR abs/2005.00625 (2020) - [i3]Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie:
Robust Spammer Detection by Nash Reinforcement Learning. CoRR abs/2006.06069 (2020) - [i2]Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu:
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. CoRR abs/2008.08692 (2020)
2010 – 2019
- 2019
- [c3]Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu:
Uncovering download fraud activities in mobile app markets. ASONAM 2019: 671-678 - [i1]Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu:
Uncovering Download Fraud Activities in Mobile App Markets. CoRR abs/1907.03048 (2019) - 2018
- [j3]Xiaolong Deng, Yingtong Dou, Dawei Hu:
Robust closed-loop control of vegetable production in plant factory. Comput. Electron. Agric. 155: 244-250 (2018) - [j2]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): 479-502 (2018) - 2017
- [j1]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: 22119-22131 (2017) - 2016
- [c2]Xiaolong Deng, Yingtong Dou, Yihua Huang:
CPS model based online opinion governance modeling and evaluation of emergency accidents. EM-GIS 2016: 8:1-8:6 - [c1]Yingtong Dou, Hao Yang, Xiaolong Deng:
A Survey of Collaborative Filtering Algorithms for Social Recommender Systems. SKG 2016: 40-46
Coauthor Index
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