Qi Cao

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Cheng XueqiChinese Academy of SciencesZweryfikowany adres z ict.ac.cn
Bingbing XuAssociate professor, Institute of Computing Technology, Chinese Academy of SciencesZweryfikowany adres z ict.ac.cn
Keting CenZweryfikowany adres z ict.ac.cn
Shuchang TaoInstitute of Computing Technology, Chinese Academy of SciencesZweryfikowany adres z ict.ac.cn
Yunfan WuInstitute of Computing Technology, Chinese Academy of SciencesZweryfikowany adres z ict.ac.cn
Fei SunAssociate Professor, Institute of Computing Technology, CAS; AlibabaZweryfikowany adres z ict.ac.cn
Junjie HuangCollege of Computer and Information Science, Southwest University, ChinaZweryfikowany adres z swu.edu.cn
Liang HouInstitute of Computing Technology, Chinese Academy of SciencesZweryfikowany adres z ict.ac.cn
Kaike ZhangInstitute of Computing Technology, Chinese Academy of SciencesZweryfikowany adres z ict.ac.cn
Yunqi QiuInstitute of Computing Technology, Chinese Academy of SciencesZweryfikowany adres z ict.ac.cn
(Robin) Wentao OuyangAlibaba GroupZweryfikowany adres z alibaba-inc.com
Yige YuanPh.D. student, Institute of Computing Technology, Chinese Academy of SciencesZweryfikowany adres z ict.ac.cn
Ruobing XieSenior researcher, TencentZweryfikowany adres z tencent.com
Wanli YangInstitute of Computing Technology, Chinese Academy of SciencesZweryfikowany adres z ict.ac.cn
Hexiang Tanphd student at Institute of Computing Technology, Chinese Academy of SciencesZweryfikowany adres z ict.ac.cn
Hao GaoInstitute of Computing Technology, Chinese Academy of SciencesZweryfikowany adres z ict.ac.cn
Yuanhao LiuInstitute of Computing Technology, Chinese Academy of SciencesZweryfikowany adres z ict.ac.cn
Jiangli ShaoData Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of SciencesZweryfikowany adres z ict.ac.cn
hongjian zoutencentZweryfikowany adres z tencent.com

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Qi Cao

Associate Professor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

Zweryfikowany adres z ict.ac.cn - Strona główna

Adversarial Attack and Defense Trustworthy Recommender Systems Algorithm Audits


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Graph Wavelet Neural Network B Xu, H Shen, Q Cao, Y Qiu, X Cheng	481	2018
DeepHawkes: Bridging the gap between prediction and understanding of information cascades Q Cao, H Shen, K Cen, W Ouyang, X Cheng Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017	288	2017
Graph convolutional networks using heat kernel for semi-supervised learning B Xu, H Shen, Q Cao, K Cen, X Cheng Proceedings of the 28th International Joint Conference on Artificial …, 2019	177	2019
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks Q Cao, H Shen, J Gao, B Wei, X Cheng Proceedings of the 13th International Conference on Web Search and Data …, 2020	156	2020
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field B Xu, H Shen, B Sun, R An, Q Cao, X Cheng Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4537-4545, 2021	84	2021
Single Node Injection Attack against Graph Neural Networks S Tao, Q Cao, H Shen, J Huang, Y Wu, X Cheng Proceedings of the 30th ACM International Conference on Information …, 2021	75	2021
Conditional gans with auxiliary discriminative classifier L Hou, Q Cao, H Shen, S Pan, X Li, X Cheng International Conference on Machine Learning, 8888-8902, 2022	47	2022
Signed Bipartite Graph Neural Networks J Huang, H Shen, Q Cao, S Tao, X Cheng Proceedings of the 30th ACM International Conference on Information …, 2021	47	2021
Negative Can Be Positive: Signed Graph Neural Networks for Recommendation J Huang, R Xie, Q Cao, H Shen, S Zhang, F Xia, X Cheng Information Processing & Management 60 (4), 103403, 2023	37	2023
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? H Tan, F Sun, W Yang, Y Wang, Q Cao, X Cheng Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024	27*	2024
Adversarial Immunization for Certifiable Robustness on Graphs S Tao, H Shen, Q Cao, L Hou, X Cheng Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021	25*	2021
INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering Y Wu, Q Cao, H Shen, S Tao, X Cheng Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022	23	2022
Adversarial camouflage for node injection attack on graphs S Tao, Q Cao, H Shen, Y Wu, L Hou, F Sun, X Cheng Information Sciences 649, 119611, 2023	21	2023
Robust Recommender System: A Survey and Future Directions K Zhang, Q Cao, F Sun, Y Wu, S Tao, H Shen, X Cheng arXiv preprint arXiv:2309.02057, 2023	20	2023
Predicting the Popularity of Online Content with Group-specific Models Q Cao, H Shen, H Gao, J Gao, X Cheng Proceedings of the 26th International Conference on World Wide Web Companion …, 2017	18	2017
Self-supervised gans with label augmentation L Hou, H Shen, Q Cao, X Cheng Advances in Neural Information Processing Systems 34, 13019-13031, 2021	17	2021
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph K Zhang, Q Cao, G Fang, B Xu, H Zou, H Shen, X Cheng Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023	16	2023
Temporal convolutional networks for popularity prediction of messages on social medias J Shao, H Shen, Q Cao, X Cheng Information Retrieval: 25th China Conference, CCIR 2019, Fuzhou, China …, 2019	16	2019
Towards generalizable graph contrastive learning: An information theory perspective Y Yuan, B Xu, H Shen, Q Cao, K Cen, W Zheng, X Cheng Neural Networks, 106125, 2024	15	2024
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation J Huang, Q Cao, R Xie, S Zhang, F Xia, H Shen, X Cheng International Conference on Database Systems for Advanced Applications, 373-388, 2023	14	2023

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