| An efficiency-boosting client selection scheme for federated learning with fairness guarantee T Huang, W Lin, W Wu, L He, K Li, AY Zomaya IEEE Transactions on Parallel and Distributed Systems 32 (7), 1552-1564, 2020 | 189 | 2020 |
| Stochastic client selection for federated learning with volatile clients T Huang, W Lin, L Shen, K Li, AY Zomaya IEEE Internet of Things Journal 9 (20), 20055-20070, 2022 | 75 | 2022 |
| An ant colony optimization-based multiobjective service replicas placement strategy for fog computing T Huang, W Lin, C Xiong, R Pan, J Huang IEEE Transactions on Cybernetics 51 (11), 5595-5608, 2020 | 69 | 2020 |
| Fedspeed: Larger local interval, less communication round, and higher generalization accuracy Y Sun, L Shen, T Huang, L Ding, D Tao ICLR 2023, 2023 | 27 | 2023 |
| Achieving personalized federated learning with sparse local models T Huang, S Liu, L Shen, F He, W Lin, D Tao arXiv preprint arXiv:2201.11380, 2022 | 23 | 2022 |
| Asynchronous online service placement and task offloading for mobile edge computing X Li, X Zhang, T Huang 2021 18th Annual IEEE International Conference on Sensing, Communication …, 2021 | 16 | 2021 |
| Energy-efficient computation offloading for UAV-assisted MEC: A two-stage optimization scheme W Lin, T Huang, X Li, F Shi, X Wang, CH Hsu ACM Transactions on Internet Technology (TOIT) 22 (1), 1-23, 2021 | 11 | 2021 |
| Adaptive processor frequency adjustment for mobile-edge computing with intermittent energy supply T Huang, W Lin, X Hong, X Wang, Q Wu, R Li, CH Hsu, AY Zomaya IEEE Internet of Things Journal 9 (10), 7446-7462, 2021 | 9 | 2021 |
| Fusion of global and local knowledge for personalized federated learning T Huang, L Shen, Y Sun, W Lin, D Tao Transactions on Machine Learning Research, 2023 | 8 | 2023 |
| Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives S Hu, T Huang, F İlhan, SF Tekin, L Liu IEEE Trust, Privacy and Security 2023, 2023 | 6 | 2023 |
| Pok\'eLLMon: A Human-Parity Agent for Pok\'emon Battles with Large Language Models S Hu, T Huang, L Liu arXiv preprint arXiv:2402.01118, 2024 | 3 | 2024 |
| Vaccine: Perturbation-aware alignment for large language model T Huang, S Hu, L Liu arXiv preprint arXiv:2402.01109, 2024 | 2 | 2024 |
| Joint task offloading and service placement for mobile edge computing: An online two-timescale approach X Li, X Zhang, T Huang IEEE Transactions on Cloud Computing, 2023 | 1 | 2023 |
| Hierarchical deep neural network inference for device-edge-cloud systems F Ilhan, SF Tekin, S Hu, T Huang, KH Chow, L Liu Companion Proceedings of the ACM Web Conference 2023, 302-305, 2023 | 1 | 2023 |
| Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning SF Tekin, F Ilhan, T Huang, S Hu, KH Chow, ML Loper, L Liu arXiv preprint arXiv:2404.04434, 2024 | | 2024 |
| A Survey on Large Language Model-Based Game Agents S Hu, T Huang, F Ilhan, S Tekin, G Liu, R Kompella, L Liu arXiv preprint arXiv:2404.02039, 2024 | | 2024 |
| Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning S Furkan Tekin, F Ilhan, T Huang, S Hu, KH Chow, ML Loper, L Liu arXiv e-prints, arXiv: 2404.04434, 2024 | | 2024 |
| Adaptive Deep Neural Network Inference Optimization with EENet F Ilhan, KH Chow, S Hu, T Huang, S Tekin, W Wei, Y Wu, M Lee, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training T Huang, S Hu, KH Chow, F Ilhan, S Tekin, L Liu Neural Information Processing Systems 2023, 2023 | | 2023 |
| FusionShot: Boosting Few Shot Learners with Focal-Diversity Optimized Ensemble Method SF Tekin, F Ilhan, S Hu, T Huang, L Liu | | |
Weiwei Lin(林伟伟)South China University of Technology; Peng Cheng LaboratoryVerified email at scut.edu.cn
