Qi Cao

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Cheng XueqiChinese Academy of SciencesVerified email at ict.ac.cn
Bingbing XuAssociate professor, Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Keting CenVerified email at ict.ac.cn
Shuchang TaoInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Yunfan WuInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Junjie HuangCollege of Computer and Information Science, Southwest University, ChinaVerified email at swu.edu.cn
Liang HouInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Fei SunAssociate Professor, Institute of Computing Technology, CAS; AlibabaVerified email at ict.ac.cn
Yunqi QiuInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
(Robin) Wentao OuyangAlibaba GroupVerified email at alibaba-inc.com
Kaike ZhangInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Yige YuanPh.D. student, Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Ruobing XieSenior researcher, TencentVerified email at tencent.com
Hao GaoInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Jiangli ShaoData Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Yuanhao LiuInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
hongjian zoutencentVerified email at tencent.com

Qi Cao

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

Verified email at ict.ac.cn - Homepage

Adversarial Attack and Defense Trustworthy AI Algorithm Audits


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Graph Wavelet Neural Network B Xu, H Shen, Q Cao, Y Qiu, X Cheng	446	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	267	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	159	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	137	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	75	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	55	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	41	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	36	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	32	2023
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	22*	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	21	2022
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	16	2021
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	15	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	15	2019
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	13	2023
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	12	2023
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	12	2023
Anae: Learning node context representation for attributed network embedding K Cen, H Shen, J Gao, Q Cao, B Xu, X Cheng arXiv preprint arXiv:1906.08745, 2019	11*	2019
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	10*	2024

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