Tiansheng Huang

According to our database, Tiansheng Huang authored at least 37 papers between 2019 and 2024.

Collaborative distances:

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

2024

Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition.

Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Fatih Ilhan, Wenqi Wei, Ling Liu

Proc. Priv. Enhancing Technol., 2024

CIFTC-Net: Cross information fusion network with transformer and CNN for polyp segmentation.

Xinyu Li, Qiaohong Liu, Xuewei Li, Tiansheng Huang, Min Lin, Xiaoxiang Han, Weikun Zhang, Keyan Chen, Yuanjie Lin

Displays, 2024

H³Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs.

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

CoRR, 2024

Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation.

Guozhi Liu, Weiwei Lin, Tiansheng Huang, Ruichao Mo, Qi Mu, Li Shen

CoRR, 2024

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey.

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

CoRR, 2024

Data Poisoning and Leakage Analysis in Federated Learning.

Wenqi Wei, Tiansheng Huang, Zachary Yahn, Anoop Singhal, Margaret Loper, Ling Liu

CoRR, 2024

Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation.

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

CoRR, 2024

Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning.

Tiansheng Huang, Gautam Bhattacharya, Pratik Joshi, Josh Kimball, Ling Liu

CoRR, 2024

Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning.

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

CoRR, 2024

Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning.

Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ka-Ho Chow, Margaret L. Loper, Ling Liu

CoRR, 2024

A Survey on Large Language Model-Based Game Agents.

Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim F. Tekin, Gaowen Liu, Ramana Kompella, Ling Liu

CoRR, 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

ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain.

Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu

Proceedings of the ACM on Web Conference 2024, 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

LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Personalized Privacy Protection Mask Against Unauthorized Facial Recognition.

Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Ling Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

Resource- Efficient Transformer Pruning for Finetuning of Large Models.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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