| Few-shot network anomaly detection via cross-network meta-learning K Ding, Q Zhou, H Tong, H Liu Proceedings of the Web Conference 2021, 2448-2456, 2021 | 106 | 2021 |
| Attent: Active attributed network alignment Q Zhou, L Li, X Wu, N Cao, L Ying, H Tong Proceedings of the Web Conference 2021, 3896-3906, 2021 | 23 | 2021 |
| JuryGCN: quantifying jackknife uncertainty on graph convolutional networks J Kang, Q Zhou, H Tong Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 20 | 2022 |
| ADMIRING: Adversarial multi-network mining Q Zhou, L Li, N Cao, L Ying, H Tong 2019 IEEE International Conference on Data Mining (ICDM), 1522-1527, 2019 | 20 | 2019 |
| Dissecting cross-layer dependency inference on multi-layered inter-dependent networks Y Yan, Q Zhou, J Li, T Abdelzaher, H Tong Proceedings of the 31st ACM International Conference on Information …, 2022 | 15 | 2022 |
| Towards real time team optimization Q Zhou, L Li, H Tong 2019 IEEE International Conference on Big Data (Big Data), 1008-1017, 2019 | 10 | 2019 |
| Extra explaining team recommendation in networks Q Zhou, L Li, N Cao, N Buchler, H Tong Proceedings of the 12th ACM Conference on Recommender Systems, 492-493, 2018 | 9 | 2018 |
| Node classification beyond homophily: Towards a general solution Z Xu, Y Chen, Q Zhou, Y Wu, M Pan, H Yang, H Tong Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 8 | 2023 |
| Adversarial attacks on multi-network mining: Problem definition and fast solutions Q Zhou, L Li, N Cao, L Ying, H Tong IEEE Transactions on Knowledge and Data Engineering 35 (1), 96-107, 2021 | 8 | 2021 |
| Pacer: Network embedding from positional to structural Y Yan, Y Hu, Q Zhou, L Liu, Z Zeng, Y Chen, M Pan, H Chen, M Das, ... Proceedings of the ACM on Web Conference 2024, 2485-2496, 2024 | 4 | 2024 |
| Learning node abnormality with weak supervision Q Zhou, K Ding, H Liu, H Tong Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| Genius: Subteam Replacement with Clustering-based Graph Neural Networks C Hu, Q Zhou, H Tong Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | | 2024 |
| Closed-loop network anomaly detection Q Zhou University of Illinois at Urbana-Champaign, 2023 | | 2023 |
| GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network C Hu, Q Zhou, H Tong arXiv preprint arXiv:2211.04100, 2022 | | 2022 |
| explaining team recommendation in networks Q Zhou, L Li, N Cao, N Buchler, H Tong RecSys' 18 Proceedings of the 12th ACM Conference on Recommender Systems, 2018 | | 2018 |
