Collaborative mobile edge computation offloading for IoT over fiber-wireless networks H Guo, J Liu, H Qin IEEE Network 32 (1), 66-71, 2018 | 95 | 2018 |
Discriminator-weighted offline imitation learning from suboptimal demonstrations H Xu, X Zhan, H Yin, H Qin International Conference on Machine Learning, 24725-24742, 2022 | 63 | 2022 |
Network-wide traffic states imputation using self-interested coalitional learning H Qin, X Zhan, Y Li, X Yang, Y Zheng Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 29 | 2021 |
Collaborative computation offloading for mobile-edge computing over fiber-wireless networks H Guo, J Liu, H Qin, H Zhang GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 26 | 2017 |
Robust spatio-temporal purchase prediction via deep meta learning H Qin, S Ke, X Yang, H Xu, X Zhan, Y Zheng Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4312-4319, 2021 | 14 | 2021 |
CSCAD: Correlation structure-based collective anomaly detection in complex system H Qin, X Zhan, Y Zheng IEEE Transactions on Knowledge and Data Engineering 35 (5), 4634-4645, 2022 | 8 | 2022 |
Instructbio: A large-scale semi-supervised learning paradigm for biochemical problems F Wu, H Qin, S Li, SZ Li, X Zhan, J Xu arXiv preprint arXiv:2304.03906, 2023 | 3 | 2023 |
FlexSSL: A Generic and Efficient Framework for Semi-Supervised Learning H Qin, X Zhan, Y Li, Y Zheng arXiv preprint arXiv:2312.16892, 2023 | | 2023 |
Enhancing semi-supervised learning via self-interested coalitional learning H Qin, X Zhan, H Xu | | |