Tiansheng Huang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Topics

Selection Scheme

Facial Recognition

Top Venues

IEEE Internet Things J.

IEEE Trans. Cybern.

Publications

Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu
Adaptive Deep Neural Network Inference Optimization with EENet. WACV (2024)
Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. WWW (2024)
Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim F. Tekin, Gaowen Liu, Ramana Kompella, Ling Liu
A Survey on Large Language Model-Based Game Agents. CoRR (2024)
Tiansheng Huang, Sihao Hu, Ling Liu
Vaccine: Perturbation-aware Alignment for Large Language Model. CoRR (2024)
Sihao Hu, Tiansheng Huang, Ling Liu
PokéLLMon: A Human-Parity Agent for Pokémon Battles with Large Language Models. CoRR (2024)
Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ka-Ho Chow, Margaret L. Loper, Ling Liu
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning. CoRR (2024)
Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu
Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning. CoRR (2024)
Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Ling Liu
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition. CoRR (2024)
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) (2024)
Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Ling Liu
Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives. CoRR (2023)
Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
Fusion of Global and Local Knowledge for Personalized Federated Learning. CoRR (2023)
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)
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)
Xin Li, Xinglin Zhang, Tiansheng Huang
Joint Task Offloading and Service Placement for Mobile Edge Computing: An Online Two-Timescale Approach. IEEE Trans. Cloud Comput. 11 (4) (2023)
Fatih Ilhan, Selim Furkan Tekin, Sihao Hu, Tiansheng Huang, Ka Ho Chow, Ling Liu
Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems. WWW (Companion Volume) (2023)
Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Ling Liu
Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives. TPS-ISA (2023)
Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. ICLR (2023)
Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. CoRR (2023)
Fang Shi, Chunchao Hu, Weiwei Lin, Lisheng Fan, Tiansheng Huang, Wentai Wu
VFedCS: Optimizing Client Selection for Volatile Federated Learning. IEEE Internet Things J. 9 (24) (2022)
Weiwei Lin, Tiansheng Huang, Xin Li, Fang Shi, Xiumin Wang, Ching-Hsien Hsu
Energy-Efficient Computation Offloading for UAV-Assisted MEC: A Two-Stage Optimization Scheme. ACM Trans. Internet Techn. 22 (1) (2022)
Tiansheng Huang, Shiwei Liu, Li Shen, Fengxiang He, Weiwei Lin, Dacheng Tao
Achieving Personalized Federated Learning with Sparse Local Models. CoRR (2022)
Tiansheng Huang, Weiwei Lin, Xiaobin Hong, Xiumin Wang, Qingbo Wu, Rui Li, Ching-Hsien Hsu, Albert Y. Zomaya
Adaptive Processor Frequency Adjustment for Mobile-Edge Computing With Intermittent Energy Supply. IEEE Internet Things J. 9 (10) (2022)
Weiwei Lin, Yinhai Xu, Bo Liu, Dongdong Li, Tiansheng Huang, Fang Shi
Contribution-based Federated Learning client selection. Int. J. Intell. Syst. 37 (10) (2022)
Tiansheng Huang, Weiwei Lin, Li Shen, Keqin Li, Albert Y. Zomaya
Stochastic Client Selection for Federated Learning With Volatile Clients. IEEE Internet Things J. 9 (20) (2022)
Xin Li, Xinglin Zhang, Tiansheng Huang
Asynchronous Online Service Placement and Task Offloading for Mobile Edge Computing. SECON (2021)
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 (2021)
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. IEEE Trans. Parallel Distributed Syst. 32 (7) (2021)
Tiansheng Huang, Weiwei Lin, Chennian Xiong, Rui Pan, Jingxuan Huang
An Ant Colony Optimization-Based Multiobjective Service Replicas Placement Strategy for Fog Computing. IEEE Trans. Cybern. 51 (11) (2021)
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 (2020)
Tiansheng Huang, Weiwei Lin, Keqin Li, Albert Y. Zomaya
Stochastic Client Selection for Federated Learning with Volatile Clients. CoRR (2020)
Kangli Hu, Weiwei Lin, Tiansheng Huang, Keqin Li, Like Ma
Virtual Machine Consolidation for NUMA Systems: A Hybrid Heuristic Grey Wolf Approach. ICPADS (2020)
Tiansheng Huang, Weiwei Lin, Yin Li, Ligang He, Shaoliang Peng
A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing. J. Signal Process. Syst. 91 (10) (2019)