| RTFN: A robust temporal feature network for time series classification Z Xiao, X Xu, H Xing, S Luo, P Dai, D Zhan Information sciences 571, 65-86, 2021 | 167 | 2021 |
| SelfMatch: Robust semisupervised time‐series classification with self‐distillation H Xing, Z Xiao, D Zhan, S Luo, P Dai, K Li International Journal of Intelligent Systems 37 (11), 8583-8610, 2022 | 110 | 2022 |
| Deep contrastive representation learning with self-distillation Z Xiao, H Xing, B Zhao, R Qu, S Luo, P Dai, K Li, Z Zhu IEEE Transactions on Emerging Topics in Computational Intelligence, 2023 | 109 | 2023 |
| Enhancing the Reliability of Services in NFV with the Cost-Efficient Redundancy Scheme W Ding, H Yu, S Luo IEEE ICC, 1-6, 2017 | 104 | 2017 |
| CapMatch: Semi-supervised contrastive transformer capsule with feature-based knowledge distillation for human activity recognition Z Xiao, H Tong, R Qu, H Xing, S Luo, Z Zhu, F Song, L Feng IEEE Transactions on Neural Networks and Learning Systems, 2023 | 96 | 2023 |
| Densely knowledge-aware network for multivariate time series classification Z Xiao, H Xing, R Qu, L Feng, S Luo, P Dai, B Zhao, Y Dai IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024 | 90 | 2024 |
| Evolutionary multi-objective reinforcement learning based trajectory control and task offloading in UAV-assisted mobile edge computing F Song, H Xing, X Wang, S Luo, P Dai, Z Xiao, B Zhao IEEE Transactions on Mobile Computing 22 (12), 7387-7405, 2022 | 87 | 2022 |
| Towards Practical and Near-optimal Coflow Scheduling for Data Center Networks S Luo, H Yu, Y Zhao, S Wang, S Yu, L Li IEEE TPDS, 2016 | 78 | 2016 |
| A multiobjective computation offloading algorithm for mobile-edge computing F Song, H Xing, S Luo, D Zhan, P Dai, R Qu IEEE Internet of Things Journal 7 (9), 8780-8799, 2020 | 69 | 2020 |
| Spectrum sensing in cognitive radio: A deep learning based model H Xing, H Qin, S Luo, P Dai, L Xu, X Cheng Transactions on Emerging Telecommunications Technologies 33 (1), e4388, 2022 | 66 | 2022 |
| Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach F Song, H Xing, X Wang, S Luo, P Dai, K Li Future Generation Computer Systems 128, 333-348, 2022 | 63 | 2022 |
| Fast incremental flow table aggregation in SDN S Luo, H Yu, L Li 23rd ICCCN, 1-8, 2014 | 63 | 2014 |
| Swing State: Consistent Updates for Stateful and Programmable Data Planes S Luo, H Yu, L Vanbever Symposium on SDN Research (SOSR), 2017 | 59 | 2017 |
| An integer encoding grey wolf optimizer for virtual network function placement H Xing, X Zhou, X Wang, S Luo, P Dai, K Li, H Yang Applied Soft Computing 76, 575-594, 2019 | 53 | 2019 |
| An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing H Xing, J Zhu, R Qu, P Dai, S Luo, MA Iqbal Swarm and Evolutionary Computation 68, 101012, 2022 | 45 | 2022 |
| Practical flow table aggregation in SDN S Luo, H Yu, L Li Computer Networks 92, 72-88, 2015 | 40 | 2015 |
| Efficient file dissemination in data center networks with priority-based adaptive multicast S Luo, H Yu, K Li, H Xing IEEE JSAC (https://shouxi.github.io/publications/jsac20-pam.pdf) 38 (6 …, 2020 | 32 | 2020 |
| Minimizing average coflow completion time with decentralized scheduling S Luo, H Yu, Y Zhao, B Wu, S Wang IEEE ICC, 307-312, 2015 | 29 | 2015 |
| Fast lossless traffic migration for SDN updates L Luo, H Yu, S Luo, M Zhang IEEE ICC, 5803-5808, 2015 | 25 | 2015 |
| Achieving Fast and Lightweight SDN Updates with Segment Routing L Luo, H Yu, S Luo, M Zhang, S Yu IEEE GLOBECOM, 1-6, 2016 | 20 | 2016 |
