EMM: Energy-aware mobility management for mobile edge computing in ultra dense networks Y Sun, S Zhou, J Xu IEEE Journal on Selected Areas in Communications 35 (11), 2637-2646, 2017 | 413 | 2017 |
Adaptive learning-based task offloading for vehicular edge computing systems Y Sun, X Guo, J Song, S Zhou, Z Jiang, X Liu, Z Niu IEEE Transactions on vehicular technology 68 (4), 3061-3074, 2019 | 321 | 2019 |
Energy-aware analog aggregation for federated learning with redundant data Y Sun, S Zhou, D Gündüz ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-7, 2020 | 124 | 2020 |
Learning-based task offloading for vehicular cloud computing systems Y Sun, X Guo, S Zhou, Z Jiang, X Liu, Z Niu 2018 IEEE International Conference on Communications (ICC), 1-7, 2018 | 117 | 2018 |
Exploiting moving intelligence: Delay-optimized computation offloading in vehicular fog networks S Zhou, Y Sun, Z Jiang, Z Niu IEEE Communications Magazine 57 (5), 49-55, 2019 | 97 | 2019 |
Dynamic scheduling for over-the-air federated edge learning with energy constraints Y Sun, S Zhou, Z Niu, D Gündüz IEEE Journal on Selected Areas in Communications 40 (1), 227-242, 2021 | 85 | 2021 |
Task replication for vehicular edge computing: A combinatorial multi-armed bandit based approach Y Sun, J Song, S Zhou, X Guo, Z Niu 2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018 | 69 | 2018 |
Distributed task replication for vehicular edge computing: Performance analysis and learning-based algorithm Y Sun, S Zhou, Z Niu IEEE Transactions on Wireless Communications 20 (2), 1138-1151, 2020 | 50 | 2020 |
Deep joint source-channel coding for semantic communications J Xu, TY Tung, B Ai, W Chen, Y Sun, DD Gündüz IEEE Communications Magazine 61 (11), 42-48, 2023 | 26 | 2023 |
Dolphins: Dataset for collaborative perception enabled harmonious and interconnected self-driving R Mao, J Guo, Y Jia, Y Sun, S Zhou, Z Niu Proceedings of the Asian Conference on Computer Vision, 4361-4377, 2022 | 26 | 2022 |
Heterogeneous coded computation across heterogeneous workers Y Sun, J Zhao, S Zhou, D Gunduz 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 22 | 2019 |
Edge learning with timeliness constraints: Challenges and solutions Y Sun, W Shi, X Huang, S Zhou, Z Niu IEEE communications magazine 58 (12), 27-33, 2020 | 20 | 2020 |
E2M2: Energy efficient mobility management in dense small cells with mobile edge computing J Xu, Y Sun, L Chen, S Zhou 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 17 | 2017 |
Time-correlated sparsification for efficient over-the-air model aggregation in wireless federated learning Y Sun, S Zhou, Z Niu, D Gündüz ICC 2022-IEEE International Conference on Communications, 3388-3393, 2022 | 16 | 2022 |
Meet: Mobility-enhanced edge intelligence for smart and green 6g networks Y Sun, B Xie, S Zhou, Z Niu IEEE communications magazine 61 (1), 64-70, 2022 | 12 | 2022 |
Coded computation across shared heterogeneous workers with communication delay Y Sun, F Zhang, J Zhao, S Zhou, Z Niu, D Gündüz IEEE Transactions on Signal Processing 70, 3371-3385, 2022 | 12 | 2022 |
Coded computation over heterogeneous workers with random task arrivals F Zhang, Y Sun, S Zhou IEEE Communications Letters 25 (7), 2338-2342, 2021 | 11 | 2021 |
MOB-FL: Mobility-aware federated learning for intelligent connected vehicles B Xie, Y Sun, S Zhou, Z Niu, Y Xu, J Chen, D Gunduz ICC 2023-IEEE International Conference on Communications, 3951-3957, 2023 | 9 | 2023 |
Mass: Mobility-aware sensor scheduling of cooperative perception for connected automated driving Y Jia, R Mao, Y Sun, S Zhou, Z Niu IEEE Transactions on Vehicular Technology, 2023 | 7 | 2023 |
Online V2X scheduling for raw-level cooperative perception Y Jia, R Mao, Y Sun, S Zhou, Z Niu ICC 2022-IEEE International Conference on Communications, 309-314, 2022 | 7 | 2022 |