| 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 | 274 | 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 | 126 | 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 | 94 | 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 | 56 | 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 | 43 | 2023 |
| 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 | 35 | 2024 |
| 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 | 33 | 2022 |
| Vaccine: Perturbation-aware alignment for large language models against harmful fine-tuning attack T Huang, S Hu, L Liu The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 22* | 2024 |
| 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 | 20 | 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 | 18 | 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 | 15 | 2024 |
| 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 | 15 | 2021 |
| Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack T Huang, S Hu, F Ilhan, SF Tekin, L Liu The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 14* | 2024 |
| Harmful fine-tuning attacks and defenses for large language models: A survey T Huang, S Hu, F Ilhan, SF Tekin, L Liu arXiv preprint arXiv:2409.18169, 2024 | 13 | 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 | 13 | 2024 |
| Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training T Huang, S Hu, KH Chow, F Ilhan, S Tekin, L Liu The Thirty-Seventh Annual Conference on Neural Information Processing Systems, 2023 | 13 | 2023 |
| 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 | 11 | 2021 |
| Booster: Tackling harmful fine-tuning for large language models via attenuating harmful perturbation T Huang, S Hu, F Ilhan, SF Tekin, L Liu ICLR2025, 2024 | 10 | 2024 |
| Antidote: Post-fine-tuning safety alignment for large language models against harmful fine-tuning T Huang, G Bhattacharya, P Joshi, J Kimball, L Liu arXiv preprint arXiv:2408.09600, 2024 | 9 | 2024 |
| ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain S Hu, T Huang, KH Chow, W Wei, Y Wu, L Liu Proceedings of the ACM on Web Conference 2024, 2807-2816, 2024 | 9 | 2024 |
Ling LiuGeorgia Institute of TechnologyVerificeret mail på cc.gatech.edu