| Graph neural architecture search Y Gao, H Yang, P Zhang, C Zhou, Y Hu International joint conference on artificial intelligence, 2021 | 160 | 2021 |
| A LBP-based face recognition method with Hamming distance constraint H Yang, Y Wang Fourth international conference on image and graphics (ICIG 2007), 645-649, 2007 | 128 | 2007 |
| Binarized attributed network embedding H Yang, S Pan, P Zhang, L Chen, D Lian, C Zhang 2018 IEEE International Conference on Data Mining (ICDM), 1476-1481, 2018 | 110 | 2018 |
| Graphnas: Graph neural architecture search with reinforcement learning Y Gao, H Yang, P Zhang, C Zhou, Y Hu arXiv preprint arXiv:1904.09981, 2019 | 106 | 2019 |
| Social recommendation with evolutionary opinion dynamics F Xiong, X Wang, S Pan, H Yang, H Wang, C Zhang IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (10), 3804-3816, 2018 | 103 | 2018 |
| Active discriminative network representation learning L Gao, H Yang, C Zhou, J Wu, S Pan, Y Hu IJCAI international joint conference on artificial intelligence, 2018 | 83 | 2018 |
| Collaborative social group influence for event recommendation L Gao, J Wu, Z Qiao, C Zhou, H Yang, Y Hu Proceedings of the 25th ACM international on conference on information and …, 2016 | 75 | 2016 |
| Unsupervised feature learning from time series. Q Zhang, J Wu, H Yang, Y Tian, C Zhang IJCAI, 2322-2328, 2016 | 71 | 2016 |
| Recommendation with multi-source heterogeneous information L Gao, H Yang, J Wu, C Zhou, W Lu, Y Hu IJCAI international joint conference on artificial intelligence, 2018 | 66 | 2018 |
| Guiding cross-lingual entity alignment via adversarial knowledge embedding X Lin, H Yang, J Wu, C Zhou, B Wang 2019 IEEE International conference on data mining (ICDM), 429-438, 2019 | 43 | 2019 |
| Deep active learning for anchor user prediction A Cheng, C Zhou, H Yang, J Wu, L Li, J Tan, L Guo arXiv preprint arXiv:1906.07318, 2019 | 33 | 2019 |
| Diffusion network embedding Y Shi, M Lei, H Yang, L Niu Pattern Recognition 88, 518-531, 2019 | 31 | 2019 |
| Exploratory adversarial attacks on graph neural networks for semi-supervised node classification X Lin, C Zhou, J Wu, H Yang, H Wang, Y Cao, B Wang Pattern Recognition 133, 109042, 2023 | 29 | 2023 |
| Temporal sensitive heterogeneous graph neural network for news recommendation Z Ji, M Wu, H Yang, JEA Íñigo Future Generation Computer Systems 125, 324-333, 2021 | 29 | 2021 |
| Global and local influence-based social recommendation Q Zhang, J Wu, H Yang, W Lu, G Long, C Zhang Proceedings of the 25th ACM international on conference on information and …, 2016 | 25 | 2016 |
| Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data P Wang, P Zhang, C Zhou, Z Li, H Yang Data Mining and Knowledge Discovery 31, 32-64, 2017 | 24 | 2017 |
| Exploratory adversarial attacks on graph neural networks X Lin, C Zhou, H Yang, J Wu, H Wang, Y Cao, B Wang 2020 IEEE International Conference on Data Mining (ICDM), 1136-1141, 2020 | 22 | 2020 |
| Predicting the epidemics trend of COVID-19 using epidemiological-based generative adversarial networks H Wang, G Tao, J Ma, S Jia, L Chi, H Yang, Z Zhao, J Tao IEEE Journal of Selected Topics in Signal Processing 16 (2), 276-288, 2022 | 20 | 2022 |
| Low-bit quantization for attributed network representation learning H Yang, S Pan, L Chen, C Zhou, P Zhang IJCAI International Joint Conference on Artificial Intelligence, 2019 | 20 | 2019 |
| GraphNAS++: Distributed architecture search for graph neural networks Y Gao, P Zhang, H Yang, C Zhou, Y Hu, Z Tian, Z Li, J Zhou IEEE Transactions on Knowledge and Data Engineering 35 (7), 6973-6987, 2022 | 16 | 2022 |
Chuan ZhouAcademy of Mathematics and Systems Science, Chinese Academy of Sciences在 amss.ac.cn 的电子邮件经过验证
