CPS model based online opinion governance modeling and evaluation of emergency accidents. - Xiaolong Deng; Yingtong Dou; Yihua Huang (EM-GIS, 2016)

A Survey of Collaborative Filtering Algorithms for Social Recommender Systems. - Yingtong Dou; Hao Yang 018; Xiaolong Deng (SKG, 2016)

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)

Robust closed-loop control of vegetable production in plant factory. - Xiaolong Deng; Yingtong Dou; Dawei Hu (Comput. Electron. Agric., 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)

Uncovering download fraud activities in mobile app markets. - Yingtong Dou; Weijian Li 001; Zhirong Liu; Zhenhua Dong; Jiebo Luo 001; Philip S. Yu (ASONAM, 2019)

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. - Yingtong Dou; Zhiwei Liu 001; Li Sun 008; Yutong Deng; Hao Peng 001; Philip S. Yu (CIKM, 2020)

Robust Spammer Detection by Nash Reinforcement Learning. - Yingtong Dou; Guixiang Ma; Philip S. Yu; Sihong Xie (KDD, 2020)

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. - Zhiwei Liu 001; Yingtong Dou; Philip S. Yu; Yutong Deng; Hao Peng 001 (SIGIR, 2020)

Deep Fraud Detection on Non-attributed Graph. - Chen Wang 052; Yingtong Dou; Min Chen; Jia Chen; Zhiwei Liu 001; Philip S. Yu (IEEE BigData, 2021)

Cross-lingual COVID-19 Fake News Detection. - Jiangshu Du; Yingtong Dou; Congying Xia; Limeng Cui; Jing Ma 004; Philip S. Yu (ICDM (Workshops), 2021)

User Preference-aware Fake News Detection. - Yingtong Dou; Kai Shu; Congying Xia; Philip S. Yu; Lichao Sun 001 (SIGIR, 2021)

ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. - Liangwei Yang; Zhiwei Liu 001; Yingtong Dou; Jing Ma 004; Philip S. Yu (SIGIR, 2021)

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. - Yuwei Cao; Hao Peng 001; Jia Wu 001; Yingtong Dou; Jianxin Li 002; Philip S. Yu (WWW, 2021)

Deep Fraud Detection on Non-attributed Graph. - Chen Wang 018; Yingtong Dou; Min Chen; Jia Chen; Zhiwei Liu 001; Philip S. Yu (CoRR, 2021)

Automating DBSCAN via Deep Reinforcement Learning. - Ruitong Zhang; Hao Peng 001; Yingtong Dou; Jia Wu 001; Qingyun Sun; Yangyang Li; Jingyi Zhang; Philip S. Yu (CIKM, 2022)

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. - Kay Liu; Yingtong Dou; Yue Zhao 016; Xueying Ding; Xiyang Hu; Ruitong Zhang; Kaize Ding; Canyu Chen; Hao Peng 001; Kai Shu; Lichao Sun 001; Jundong Li; et al. (NeurIPS, 2022)

Robust Graph Learning for Misbehavior Detection. - Yingtong Dou (WSDM, 2022)

PyGOD: A Python Library for Graph Outlier Detection. - Kay Liu; Yingtong Dou; Yue Zhao 016; Xueying Ding; Xiyang Hu; Ruitong Zhang; Kaize Ding; Canyu Chen; Hao Peng 001; Kai Shu; George H. Chen; Zhihao Jia; et al. (CoRR, 2022)

Benchmarking Node Outlier Detection on Graphs. - Kay Liu; Yingtong Dou; Yue Zhao 016; Xueying Ding; Xiyang Hu; Ruitong Zhang; Kaize Ding; Canyu Chen; Hao Peng 001; Kai Shu; Lichao Sun 001; Jundong Li; et al. (CoRR, 2022)

Automating DBSCAN via Deep Reinforcement Learning. - Ruitong Zhang; Hao Peng 001; Yingtong Dou; Jia Wu 001; Qingyun Sun; Jingyi Zhang; Philip S. Yu (CoRR, 2022)

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks. - Hao Peng 001; Ruitong Zhang; Yingtong Dou; Renyu Yang; Jingyi Zhang; Philip S. Yu (ACM Trans. Inf. Syst., 2022)

Attacking Fake News Detectors via Manipulating News Social Engagement. - Haoran Wang 005; Yingtong Dou; Canyu Chen; Lichao Sun 001; Philip S. Yu; Kai Shu (WWW, 2023)

Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. - Jianxin Li 002; Hao Peng 001; Yuwei Cao; Yingtong Dou; Hekai Zhang; Philip S. Yu; Lifang He 001 (IEEE Trans. Knowl. Data Eng., 2023)

Adversarial Attack and Defense on Graph Data: A Survey. - Lichao Sun 001; Yingtong Dou; Carl Yang 001; Kai Zhang 039; Ji Wang 002; Philip S. Yu; Lifang He 001; Bo Li 026 (IEEE Trans. Knowl. Data Eng., 2023)

Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction. - Liang Wang 047; Shubham Jain; Yingtong Dou; Junpeng Wang 001; Chin-Chia Michael Yeh; Yujie Fan; Prince Osei Aboagye; Yan Zheng 001; Xin Dai; Zhongfang Zhuang; Uday Singh Saini; Wei Zhang 189 (CoRR, 2024)

PyGOD: A Python Library for Graph Outlier Detection. - Kay Liu; Yingtong Dou; Xueying Ding; Xiyang Hu; Ruitong Zhang; Hao Peng 001; Lichao Sun 001; Philip S. Yu (J. Mach. Learn. Res., 2024)

Temporal Neighbor Sequence-based Interpretable Spammer Groups Detection on E-commerce platform. - Ning Li 032; Shujuan Ji; Yingtong Dou; Dickson K. W. Chiu; Qi Zhang; Yongquan Liang 001; Yongshan Wei (Inf. Process. Manag., 2025)

Personalized Layer Selection for Graph Neural Networks. - Kartik Sharma; Vineeth Rakesh; Yingtong Dou; Srijan Kumar; Mahashweta Das (Trans. Mach. Learn. Res., 2025)

Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts. - Kartik Sharma; Yiqiao Jin; Vineeth Rakesh; Yingtong Dou; Menghai Pan; Mahashweta Das; Srijan Kumar (CoRR, 2025)

SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression. - Yiqiao Jin; Kartik Sharma; Vineeth Rakesh; Yingtong Dou; Menghai Pan; Mahashweta Das; Srijan Kumar (CoRR, 2025)