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Tiansheng Huang
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2020 – today
- 2024
- [j11]Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Fatih Ilhan
, Wenqi Wei, Ling Liu:
Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition. Proc. Priv. Enhancing Technol. 2024(4): 381-392 (2024) - [c11]Fatih Ilhan, Gong Su, Selim Furkan Tekin, Tiansheng Huang, Sihao Hu, Ling Liu:
Resource- Efficient Transformer Pruning for Finetuning of Large Models. CVPR 2024: 16206-16215 - [c10]Ka-Ho Chow
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition. ECCV (82) 2024: 434-450 - [c9]Selim F. Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ling Liu:
LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity. EMNLP (Findings) 2024: 11951-11966 - [c8]Fatih Ilhan
Adaptive Deep Neural Network Inference Optimization with EENet. WACV 2024: 1362-1371 - [c7]Sihao Hu
ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. WWW 2024: 2807-2816 - [i19]Tiansheng Huang, Sihao Hu, Ling Liu:
Vaccine: Perturbation-aware Alignment for Large Language Model. CoRR abs/2402.01109 (2024) - [i18]Sihao Hu, Tiansheng Huang, Ling Liu:
PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models. CoRR abs/2402.01118 (2024) - [i17]Sihao Hu, Tiansheng Huang, Fatih Ilhan
A Survey on Large Language Model-Based Game Agents. CoRR abs/2404.02039 (2024) - [i16]Selim Furkan Tekin, Fatih Ilhan
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning. CoRR abs/2404.04434 (2024) - [i15]Tiansheng Huang, Sihao Hu, Fatih Ilhan
Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning. CoRR abs/2405.18641 (2024) - [i14]Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Ling Liu:
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition. CoRR abs/2407.13975 (2024) - [i13]Tiansheng Huang, Gautam Bhattacharya, Pratik Joshi, Josh Kimball, Ling Liu:
Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning. CoRR abs/2408.09600 (2024) - [i12]Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu:
Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation. CoRR abs/2409.01586 (2024) - [i11]Wenqi Wei, Tiansheng Huang, Zachary Yahn, Anoop Singhal, Margaret Loper, Ling Liu:
Data Poisoning and Leakage Analysis in Federated Learning. CoRR abs/2409.13004 (2024) - [i10]Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu:
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey. CoRR abs/2409.18169 (2024) - [i9]Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ling Liu:
LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity. CoRR abs/2410.03953 (2024) - [i8]Guozhi Liu, Weiwei Lin, Tiansheng Huang, Ruichao Mo, Qi Mu, Li Shen:
Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation. CoRR abs/2410.09760 (2024) - 2023
- [j10]Xin Li
Joint Task Offloading and Service Placement for Mobile Edge Computing: An Online Two-Timescale Approach. IEEE Trans. Cloud Comput. 11(4): 3656-3671 (2023) - [j9]Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao:
Fusion of Global and Local Knowledge for Personalized Federated Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c6]Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao:
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. ICLR 2023 - [c5]Tiansheng Huang, Sihao Hu, Ka Ho Chow, Fatih Ilhan, Selim F. Tekin, Ling Liu:
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training. NeurIPS 2023 - [c4]Sihao Hu, Tiansheng Huang, Fatih Ilhan
Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives. TPS-ISA 2023: 297-306 - [c3]Fatih Ilhan
Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems. WWW (Companion Volume) 2023: 302-305 - [i7]Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao:
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. CoRR abs/2302.10429 (2023) - [i6]Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao:
Fusion of Global and Local Knowledge for Personalized Federated Learning. CoRR abs/2302.11051 (2023) - [i5]Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Ling Liu:
Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives. CoRR abs/2310.01152 (2023) - 2022
- [j8]Weiwei Lin
Contribution-based Federated Learning client selection. Int. J. Intell. Syst. 37(10): 7235-7260 (2022) - [j7]Tiansheng Huang
Adaptive Processor Frequency Adjustment for Mobile-Edge Computing With Intermittent Energy Supply. IEEE Internet Things J. 9(10): 7446-7462 (2022) - [j6]Tiansheng Huang
Stochastic Client Selection for Federated Learning With Volatile Clients. IEEE Internet Things J. 9(20): 20055-20070 (2022) - [j5]Fang Shi
VFedCS: Optimizing Client Selection for Volatile Federated Learning. IEEE Internet Things J. 9(24): 24995-25010 (2022) - [j4]Weiwei Lin, Tiansheng Huang, Xin Li
Energy-Efficient Computation Offloading for UAV-Assisted MEC: A Two-Stage Optimization Scheme. ACM Trans. Internet Techn. 22(1): 4:1-4:23 (2022) - [i4]Tiansheng Huang, Shiwei Liu, Li Shen, Fengxiang He, Weiwei Lin, Dacheng Tao:
Achieving Personalized Federated Learning with Sparse Local Models. CoRR abs/2201.11380 (2022) - 2021
- [j3]Tiansheng Huang
An Ant Colony Optimization-Based Multiobjective Service Replicas Placement Strategy for Fog Computing. IEEE Trans. Cybern. 51(11): 5595-5608 (2021) - [j2]Tiansheng Huang
An Efficiency-Boosting Client Selection Scheme for Federated Learning With Fairness Guarantee. IEEE Trans. Parallel Distributed Syst. 32(7): 1552-1564 (2021) - [c2]Xin Li
Asynchronous Online Service Placement and Task Offloading for Mobile Edge Computing. SECON 2021: 1-9 - [i3]Tiansheng Huang, Weiwei Lin, Ying Li, Xiumin Wang, Qingbo Wu, Rui Li, Ching-Hsien Hsu, Albert Y. Zomaya:
Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply. CoRR abs/2102.05449 (2021) - 2020
- [c1]Kangli Hu, Weiwei Lin, Tiansheng Huang, Keqin Li, Like Ma:
Virtual Machine Consolidation for NUMA Systems: A Hybrid Heuristic Grey Wolf Approach. ICPADS 2020: 569-576 - [i2]Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya:
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee. CoRR abs/2011.01783 (2020) - [i1]Tiansheng Huang, Weiwei Lin, Keqin Li, Albert Y. Zomaya:
Stochastic Client Selection for Federated Learning with Volatile Clients. CoRR abs/2011.08756 (2020)
2010 – 2019
- 2019
- [j1]Tiansheng Huang, Weiwei Lin
A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing. J. Signal Process. Syst. 91(10): 1191-1204 (2019)
Coauthor Index
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