Y Ye, S Hou, Y Fan, Y Qian, Y Zhang, S Sun, Q Peng, K Laparo
arXiv preprint arXiv:2003.12232, 2020
68 2020 Distilling meta knowledge on heterogeneous graph for illicit drug trafficker detection on social media Y Qian, Y Zhang, Y Ye, C Zhang
Advances in Neural Information Processing Systems 34, 26911-26923, 2021
42 2021 Y Ye, S Hou, Y Fan, Y Zhang, Y Qian, S Sun, Q Peng, M Ju, W Song, ...
IEEE Journal of Biomedical and Health Informatics 24 (10), 2755-2764, 2020
32 2020 Disentangled dynamic heterogeneous graph learning for opioid overdose prediction Q Wen, Z Ouyang, J Zhang, Y Qian, Y Ye, C Zhang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
25 2022 Adapting distilled knowledge for few-shot relation reasoning over knowledge graphs Y Zhang, Y Qian, Y Ye, C Zhang
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022
23 2022 Co-modality graph contrastive learning for imbalanced node classification Y Qian, C Zhang, Y Zhang, Q Wen, Y Ye, C Zhang
Advances in Neural Information Processing Systems 35, 15862-15874, 2022
21 2022 Rep2vec: Repository embedding via heterogeneous graph adversarial contrastive learning Y Qian, Y Zhang, Q Wen, Y Ye, C Zhang
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
19 2022 Adapting meta knowledge with heterogeneous information network for covid-19 themed malicious repository detection Y Qian, Y Zhang, Y Ye, C Zhang
International Joint Conference on Artificial Intelligence (IJCAI), 2021
16 2021 Malicious repositories detection with adversarial heterogeneous graph contrastive learning Y Qian, Y Zhang, N Chawla, Y Ye, C Zhang
Proceedings of the 31st ACM International Conference on Information …, 2022
15 2022 dstyle-gan: Generative adversarial network based on writing and photography styles for drug identification in darknet markets Y Zhang, Y Qian, Y Fan, Y Ye, X Li, Q Xiong, F Shao
Proceedings of the 36th Annual computer security applications conference …, 2020
15 2020 Community mitigation: A data-driven system for covid-19 risk assessment in a hierarchical manner Y Ye, Y Fan, S Hou, Y Zhang, Y Qian, S Sun, Q Peng, M Ju, W Song, ...
Proceedings of the 29th ACM International Conference on Information …, 2020
13 2020 Adversarial cross-view disentangled graph contrastive learning Q Wen, Z Ouyang, C Zhang, Y Qian, Y Ye, C Zhang
arXiv, 2022
10 2022 Hypergraph Contrastive Learning for Drug Trafficking Community Detection T Ma, Y Qian, C Zhang, Y Ye
2023 IEEE International Conference on Data Mining (ICDM), 1205-1210, 2023
9 2023 Graph contrastive learning with cross-view reconstruction Q Wen, Z Ouyang, C Zhang, Y Qian, Y Ye, C Zhang
arXiv preprint arXiv:2209.07699, 2022
9 2022 \documentclass [12pt]{minimal}\usepackage {amsmath}\usepackage {wasysym}\usepackage {amsfonts}\usepackage {amssymb}\usepackage {amsbsy}\usepackage {upgreek}\usepackage … Y Ye, S Hou, Y Fan, Y Qian, Y Zhang, S Sun, Q Peng, K Laparo
arXiv: 2003.12232, 2020
5 2020 𝛼-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19 Y Ye, S Hou, Y Fan, Y Qian, Y Zhang, S Sun, Q Peng, K Laparo
arXiv preprint arXiv:2003.12232, 2020
4 2020 Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement Y Qian, T Ma, C Zhang, Y Ye
Companion Proceedings of the ACM on Web Conference 2024, 859-862, 2024
3 2024 Adaptive expansion for hypergraph learning.(2023) Y Qian, T Ma, C Zhang, Y Ye
2 2023 (\alpha\)-Satellite: An AI-driven system and benchmark datasets for hierarchical community-level risk assessment to help combat COVID-19 Y Yanfang, H Shifu, F Yujie, Q Yiyue, Z Yiming, S Shiyu, P Qian, ...
arXiv preprint arXiv:2003.12232, 2020
2 2020 GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning Q Wen, Z Ouyang, C Zhang, Y Qian, C Zhang, Y Ye
The 40th Conference on Uncertainty in Artificial Intelligence, 0
2 