Yingtong Dou

48 papers A* 7A 3B 1Journal 31Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings.
CoRR
Xiran Fan, Zhimeng Jiang, Chin-Chia Michael Yeh, Yuzhong Chen, Yingtong Dou, Menghai Pan, Yan Zheng
2026 — conf
TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding.
KDD (1)
Chin-Chia Michael Yeh, Uday Singh Saini, Xin Dai, Xiran Fan, Shubham Jain, Yujie Fan, Jiarui Sun, Junpeng Wang, Menghai Pan, Yingtong Dou, Yuzhong Chen, Vineeth Rakesh, Liang Wang, Yan Zheng, Mahashweta Das
2025 — conf
Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings.
EMNLP (Industry Track)
Xiran Fan, Zhimeng Jiang, Chin-Chia Michael Yeh, Yuzhong Chen, Yingtong Dou, Menghai Pan, Yan Zheng
2025 J jnl
Personalized Layer Selection for Graph Neural Networks.
CoRR
Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Srijan Kumar, Mahashweta Das
2025 J jnl
Personalized Layer Selection for Graph Neural Networks.
Trans. Mach. Learn. Res.
Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Srijan Kumar, Mahashweta Das
2025 J jnl
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression.
CoRR
Yiqiao Jin, Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar
2025 J jnl
Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts.
CoRR
Kartik Sharma, Yiqiao Jin, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar
2025 J jnl
TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding.
CoRR
Chin-Chia Michael Yeh, Uday Singh Saini, Xin Dai, Xiran Fan, Shubham Jain, Yujie Fan, Jiarui Sun, Junpeng Wang, Menghai Pan, Yingtong Dou, Yuzhong Chen, Vineeth Rakesh, Liang Wang, Yan Zheng, Mahashweta Das
2025 J jnl
Temporal Neighbor Sequence-based Interpretable Spammer Groups Detection on E-commerce platform.
Inf. Process. Manag.
Ning Li, Shujuan Ji, Yingtong Dou, Dickson K. W. Chiu, Qi Zhang, Yongquan Liang, Yongshan Wei
2025 J jnl
TransactionGPT.
CoRR
Yingtong Dou, Zhimeng Jiang, Tianyi Zhang, Mingzhi Hu, Zhichao Xu, Shubham Jain, Uday Singh Saini, Xiran Fan, Jiarui Sun, Menghai Pan, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yujie Fan, Vineeth Rakesh, Huiyuan Chen, Mangesh Bendre, Zhongfang Zhuang, Xiaoting Li, Prince Osei Aboagye, Vivian Lai, Minghua Xu, Hao Yang, Yiwei Cai, Mahashweta Das, Yuzhong Chen
2024 J jnl
Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction.
CoRR
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
2024 J jnl
PyGOD: A Python Library for Graph Outlier Detection.
J. Mach. Learn. Res.
Kay Liu, Yingtong Dou, Xueying Ding, Xiyang Hu, Ruitong Zhang, Hao Peng, Lichao Sun, Philip S. Yu
2023 J jnl
Adversarial Attack and Defense on Graph Data: A Survey.
IEEE Trans. Knowl. Data Eng.
Lichao Sun, Yingtong Dou, Carl Yang, Kai Zhang, Ji Wang, Philip S. Yu, Lifang He, Bo Li
2023 A* conf
Attacking Fake News Detectors via Manipulating News Social Engagement.
WWW
Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
2023 J jnl
Attacking Fake News Detectors via Manipulating News Social Engagement.
CoRR
Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
2023 J jnl
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He
2022 A conf
Automating DBSCAN via Deep Reinforcement Learning.
CIKM
Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu
2022 J jnl
Automating DBSCAN via Deep Reinforcement Learning.
CoRR
Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu
2022 A* conf
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.
NeurIPS
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
2022 J jnl
Benchmarking Node Outlier Detection on Graphs.
CoRR
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
2022 J jnl
PyGOD: A Python Library for Graph Outlier Detection.
CoRR
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
2022 J jnl
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks.
ACM Trans. Inf. Syst.
Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu
2022 A conf
Robust Graph Learning for Misbehavior Detection.
WSDM
Yingtong Dou
2021 A* conf
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation.
SIGIR
Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu
2021 J jnl
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation.
CoRR
Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu
2021 — conf
Cross-lingual COVID-19 Fake News Detection.
ICDM (Workshops)
Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu
2021 J jnl
Cross-lingual COVID-19 Fake News Detection.
CoRR
Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu
2021 — conf
Deep Fraud Detection on Non-attributed Graph.
IEEE BigData
Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu
2021 J jnl
Deep Fraud Detection on Non-attributed Graph.
CoRR
Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu
2021 J jnl
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.
CoRR
Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He
2021 A* conf
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.
WWW
Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu
2021 J jnl
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.
CoRR
Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu
2021 J jnl
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks.
CoRR
Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu
2021 A* conf
User Preference-aware Fake News Detection.
SIGIR
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
2021 J jnl
User Preference-aware Fake News Detection.
CoRR
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
2020 A* conf
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection.
SIGIR
Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng
2020 J jnl
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection.
CoRR
Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng
2020 A conf
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters.
CIKM
Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu
2020 J jnl
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters.
CoRR
Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu
2020 A* conf
Robust Spammer Detection by Nash Reinforcement Learning.
KDD
Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
2020 J jnl
Robust Spammer Detection by Nash Reinforcement Learning.
CoRR
Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
2019 J jnl
Uncovering Download Fraud Activities in Mobile App Markets.
CoRR
Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu
2019 B conf
Uncovering download fraud activities in mobile app markets.
ASONAM
Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu
2018 J jnl
Efficient CPS model based online opinion governance modeling and evaluation for emergency accidents.
GeoInformatica
Xiao Long Deng, Yin Luan Yu, Danhuai Guo, Yingtong Dou
2018 J jnl
Robust closed-loop control of vegetable production in plant factory.
Comput. Electron. Agric.
Xiaolong Deng, Yingtong Dou, Dawei Hu
2017 J jnl
A Novel Centrality Cascading Based Edge Parameter Evaluation Method for Robust Influence Maximization.
IEEE Access
Xiaolong Deng, Yingtong Dou, Tiejun Lv, Quoc Viet Hung Nguyen
2016 — conf
A Survey of Collaborative Filtering Algorithms for Social Recommender Systems.
SKG
Yingtong Dou, Hao Yang, Xiaolong Deng
2016 — conf
CPS model based online opinion governance modeling and evaluation of emergency accidents.
EM-GIS
Xiaolong Deng, Yingtong Dou, Yihua Huang