| Machine learning for next‐generation intelligent transportation systems: A survey T Yuan, W da Rocha Neto, CE Rothenberg, K Obraczka, C Barakat, ... Transactions on emerging telecommunications technologies 33 (4), e4427, 2022 | 136 | 2022 |
| Deep reinforcement learning for multimedia traffic control in software defined networking X Huang, T Yuan, G Qiao, Y Ren IEEE Network 32 (6), 35-41, 2018 | 113 | 2018 |
| Dynamic modeling for foldable origami space membrane structure with contact-impact during deployment T Yuan, Z Liu, Y Zhou, J Liu Multibody System Dynamics 50, 1-24, 2020 | 51 | 2020 |
| Dynamic controller assignment in software defined internet of vehicles through multi-agent deep reinforcement learning T Yuan, W da Rocha Neto, CE Rothenberg, K Obraczka, C Barakat, ... IEEE Transactions on Network and Service Management 18 (1), 585-596, 2020 | 44 | 2020 |
| Balance-based SDN controller placement and assignment with minimum weight matching T Yuan, X Huang, M Ma, J Yuan 2018 IEEE International Conference on Communications (ICC), 1-6, 2018 | 38 | 2018 |
| Harnessing UAVs for fair 5G bandwidth allocation in vehicular communication via deep reinforcement learning T Yuan, CE Rothenberg, K Obraczka, C Barakat, T Turletti IEEE Transactions on Network and Service Management 18 (4), 4063-4074, 2021 | 28 | 2021 |
| Improving Quality of Experience in multimedia Internet of Things leveraging machine learning on big data X Huang, K Xie, S Leng, T Yuan, M Ma Future Generation Computer Systems 86, 1413-1423, 2018 | 27 | 2018 |
| Harnessing machine learning for next-generation intelligent transportation systems: a survey T Yuan, WB da Rocha Neto, C Rothenberg, K Obraczka, C Barakat, ... Proceedings of the computational intelligence, communication systems and …, 2019 | 16 | 2019 |
| Edge intelligence empowered UAV s for automated wind farm monitoring in smart grids HM Chung, S Maharjan, Y Zhang, F Eliassen, T Yuan GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 14 | 2020 |
| AccDecoder: Accelerated decoding for neural-enhanced video analytics T Yuan, L Mi, W Wang, H Dai, X Fu IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023 | 13 | 2023 |
| Utility-optimized flow-level bandwidth allocation in hybrid SDNs X Huang, T Yuan, M Ma IEEE Access 6, 20279-20290, 2018 | 12 | 2018 |
| DACOM: Learning delay-aware communication for multi-agent reinforcement learning T Yuan, HM Chung, J Yuan, X Fu Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 11763 …, 2023 | 11 | 2023 |
| Migration to software-defined networks: The customers' view T Yuan, X Huang, M Ma, P Zhang China Communications 14 (10), 1-11, 2017 | 9 | 2017 |
| Utility-optimized bandwidth and power allocation for non-orthogonal multiple access in software defined 5G networks X Huang, T Yuan, Y Zhang Journal of Network and Computer Applications 113, 75-86, 2018 | 8 | 2018 |
| Dynamic modeling and simulation for pneumatic landing airbag system with frictional contact B Lei, T Yuan, J Liu, C Liu Thin-Walled Structures 195, 111417, 2024 | 4 | 2024 |
| A temporal–spatial analysis on the socioeconomic development of rural villages in Thailand and Vietnam based on satellite image data F Wölk, T Yuan, K Kis-Katos, X Fu Computer Communications 203, 146-162, 2023 | 3 | 2023 |
| PP-MARL: Efficient Privacy-Preserving MARL for Cooperative Intelligence in Communication T Yuan, HM Chung, X Fu arXiv preprint arXiv:2204.12064, 2022 | 3 | 2022 |
| Utility-based network bandwidth allocation in the hybrid SDNs X Huang, T Yuan, M Ma, P Zhang GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 3 | 2017 |
| BiSwift: Bandwidth orchestrator for multi-stream video analytics on edge L Sun, W Wang, T Yuan, L Mi, H Dai, Y Liu, X Fu IEEE INFOCOM 2024-IEEE Conference on Computer Communications, 1181-1190, 2024 | 2 | 2024 |
| Accelerated Neural Enhancement for Video Analytics With Video Quality Adaptation L Mi, T Yuan, W Wang, H Dai, L Sun, J Zheng, G Chen, X Fu IEEE/ACM Transactions on Networking, 2024 | 2 | 2024 |