Tiansheng Huang

According to our database, Tiansheng Huang authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models.

Sihao Hu, Tiansheng Huang, Ling Liu

CoRR, 2024

Vaccine: Perturbation-aware Alignment for Large Language Model.

Tiansheng Huang, Sihao Hu, Ling Liu

CoRR, 2024

Adaptive Deep Neural Network Inference Optimization with EENet.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Fusion of Global and Local Knowledge for Personalized Federated Learning.

Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao

Trans. Mach. Learn. Res., 2023

Joint Task Offloading and Service Placement for Mobile Edge Computing: An Online Two-Timescale Approach.

Xin Li, Xinglin Zhang, Tiansheng Huang

IEEE Trans. Cloud Comput., 2023

Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems.

Fatih Ilhan, Selim Furkan Tekin, Sihao Hu, Tiansheng Huang, Ka Ho Chow, Ling Liu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives.

Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Ling Liu

Proceedings of the 5th IEEE International Conference on Trust, 2023

Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training.

Tiansheng Huang, Sihao Hu, Ka Ho Chow, Fatih Ilhan, Selim F. Tekin, Ling Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy.

Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Energy-Efficient Computation Offloading for UAV-Assisted MEC: A Two-Stage Optimization Scheme.

Weiwei Lin, Tiansheng Huang, Xin Li, Fang Shi, Xiumin Wang, Ching-Hsien Hsu

ACM Trans. Internet Techn., 2022

VFedCS: Optimizing Client Selection for Volatile Federated Learning.

Fang Shi, Chunchao Hu, Weiwei Lin, Lisheng Fan, Tiansheng Huang, Wentai Wu

IEEE Internet Things J., 2022

Stochastic Client Selection for Federated Learning With Volatile Clients.

Tiansheng Huang, Weiwei Lin, Li Shen, Keqin Li, Albert Y. Zomaya

IEEE Internet Things J., 2022

Adaptive Processor Frequency Adjustment for Mobile-Edge Computing With Intermittent Energy Supply.

Tiansheng Huang, Weiwei Lin, Xiaobin Hong, Xiumin Wang, Qingbo Wu, Rui Li, Ching-Hsien Hsu, Albert Y. Zomaya

IEEE Internet Things J., 2022

Contribution-based Federated Learning client selection.

Weiwei Lin, Yinhai Xu, Bo Liu, Dongdong Li, Tiansheng Huang, Fang Shi

Int. J. Intell. Syst., 2022

Achieving Personalized Federated Learning with Sparse Local Models.

Tiansheng Huang, Shiwei Liu, Li Shen, Fengxiang He, Weiwei Lin, Dacheng Tao

CoRR, 2022

2021

An Efficiency-Boosting Client Selection Scheme for Federated Learning With Fairness Guarantee.

Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya

IEEE Trans. Parallel Distributed Syst., 2021

An Ant Colony Optimization-Based Multiobjective Service Replicas Placement Strategy for Fog Computing.

Tiansheng Huang, Weiwei Lin, Chennian Xiong, Rui Pan, Jingxuan Huang

IEEE Trans. Cybern., 2021

Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply.

Tiansheng Huang, Weiwei Lin, Ying Li, Xiumin Wang, Qingbo Wu, Rui Li, Ching-Hsien Hsu, Albert Y. Zomaya

CoRR, 2021

Asynchronous Online Service Placement and Task Offloading for Mobile Edge Computing.

Xin Li, Xinglin Zhang, Tiansheng Huang

Proceedings of the 18th Annual IEEE International Conference on Sensing, 2021

2020

Stochastic Client Selection for Federated Learning with Volatile Clients.

Tiansheng Huang, Weiwei Lin, Keqin Li, Albert Y. Zomaya

CoRR, 2020

Virtual Machine Consolidation for NUMA Systems: A Hybrid Heuristic Grey Wolf Approach.

Kangli Hu, Weiwei Lin, Tiansheng Huang, Keqin Li, Like Ma

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

2019

A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing.

Tiansheng Huang, Weiwei Lin, Yin Li, Ligang He, Shaoliang Peng

J. Signal Process. Syst., 2019