Tiansheng Huang

According to our database, Tiansheng Huang authored at least 70 papers between 2019 and 2026.

Collaborative distances:

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

2026

Decentralized Federated Learning With Period Gradient Tracking Over Time-Varying Networks.

Fang Shi, Yuehong Chen, Qiong Huang, Tiansheng Huang, Guozhi Liu, Li Shen

IEEE Trans. Parallel Distributed Syst., July, 2026

Personalized Face Privacy Protection From a Single Image.

Zachary Yahn, Fatih Ilhan, Tiansheng Huang, Selim F. Tekin, Sihao Hu, Yichang Xu, Margaret Loper, Ling Liu

CoRR, May, 2026

Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding.

Fatih Ilhan, Gaowen Liu, Ramana Rao Kompella, Selim Furkan Tekin, Tiansheng Huang, Zachary Yahn, Yichang Xu, Ling Liu

CoRR, March, 2026

A Multi-Agent Perception-Action Alliance for Efficient Long Video Reasoning.

Yichang Xu, Gaowen Liu, Ramana Rao Kompella, Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Zachary Yahn, Ling Liu

CoRR, March, 2026

BlockEdge: A Hybrid Blockchain Framework for Secure and Efficient Collaboration in EEC Environments.

Wangbo Shen, Weiwei Lin, Tiansheng Huang, Xinyi Hu, Mian Guo, Haijie Wu

ACM Trans. Internet Techn., February, 2026

PokéLLMon: A Grounding and Reasoning Benchmark for Large Language Models in Pokémon Battles.

Sihao Hu, Tiansheng Huang, Gaowen Liu, Ramana Kompella, Ling Liu

ACM Trans. Internet Techn., February, 2026

Matching Accounts on Blockchain via Pseudo Fine-tuning of Language Models.

Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Greg Eisenhauer, Margaret L. Loper, Ling Liu

ACM Trans. Intell. Syst. Technol., February, 2026

Surgery: Mitigating Harmful Fine-Tuning for Large Language Models via Attention Sink.

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

CoRR, February, 2026

Mitigating Safety Tax via Distribution-Grounded Refinement in Large Reasoning Models.

Yingsha Xie, Tiansheng Huang, Enneng Yang, Rui Min, Wenjie Lu, Xiaochun Cao, Naiqiang Tan, Li Shen

CoRR, February, 2026

GradCloak: Gradient Obfuscation for Privacy-Preserving Distributed Learning as a Service.

Wenqi Wei, Tiansheng Huang, Sihao Hu, Xinxin Fan, Rui Zhang, Jingya Zhou, Ling Liu

IEEE Trans. Serv. Comput., 2026

Prodigal: Backdoor defense for federated learning beyond robust aggregation.

Guozhi Liu, Weiwei Lin, Tiansheng Huang, Fang Shi, Xiumin Wang, Li Shen

Knowl. Based Syst., 2026

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

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

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning.

Biao Yi, Tiansheng Huang, Baolei Zhang, Tong Li, Lihai Nie, Zheli Liu, Li Shen

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Rebellion: Noise-Robust Reasoning Training for Audio Reasoning Models.

Tiansheng Huang, Virat Shejwalkar, Oscar Chang, Milad Nasr, Ling Liu

CoRR, November, 2025

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

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

ACM Trans. Intell. Syst. Technol., October, 2025

FedHFT: Efficient Federated Finetuning with Heterogeneous Edge Clients.

Fatih Ilhan, Selim Furkan Tekin, Tiansheng Huang, Gaowen Liu, Ramana Kompella, Greg Eisenhauer, Yingyan Celine Lin, Calton Pu, Ling Liu

CoRR, October, 2025

Pharmacist: Safety Alignment Data Curation for Large Language Models against Harmful Fine-tuning.

Guozhi Liu, Qi Mu, Tiansheng Huang, Xinhua Wang, Li Shen, Weiwei Lin, Zhang Li

CoRR, October, 2025

AdaptiveFL: Communication-Adaptive Federated Learning Under Dynamic Bandwidth.

Guozhi Liu, Weiwei Lin, Tiansheng Huang, Fang Shi, Wentai Wu, Li Shen

IEEE Trans. Neural Networks Learn. Syst., September, 2025

Gradient Surgery for Safe LLM Fine-Tuning.

Biao Yi, Jiahao Li, Baolei Zhang, Lihai Nie, Tong Li, Tiansheng Huang, Zheli Liu

CoRR, August, 2025

Language-Vision Planner and Executor for Text-to-Visual Reasoning.

Yichang Xu, Gaowen Liu, Ramana Rao Kompella, Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Zachary Yahn, Ling Liu

CoRR, June, 2025

R1-Compress: Long Chain-of-Thought Compression via Chunk Compression and Search.

Yibo Wang, Li Shen, Huanjin Yao, Tiansheng Huang, Rui Liu, Naiqiang Tan, Jiaxing Huang, Kai Zhang, Dacheng Tao

CoRR, May, 2025

Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable.

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

CoRR, March, 2025

Multi-Agent Reinforcement Learning with Focal Diversity Optimization.

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

CoRR, February, 2025

TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs.

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

CoRR, January, 2025

Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation.

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

CoRR, January, 2025

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

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

IEEE Trans. Inf. Forensics Secur., 2025

Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation.

Yibo Wang, Tiansheng Huang, Li Shen, Huanjin Yao, Haotian Luo, Rui Liu, Naiqiang Tan, Jiaxing Huang, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models.

Biao Yi, Tiansheng Huang, Sishuo Chen, Tong Li, Zheli Liu, Zhixuan Chu, Yiming Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Adversarial Attention Perturbations for Large Object Detection Transformers.

Zachary Yahn, Selim Furkan Tekin, Fatih Ilhan, Sihao Hu, Tiansheng Huang, Yichang Xu, Margaret Loper, Ling Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

FedHFT: Efficient Federated Fine-tuning with Heterogeneous Edge Clients.

Fatih Ilhan, Selim Furkan Tekin, Tiansheng Huang, Gaowen Liu, Ramana Kompella, Greg Eisenhauer, Yingyan Celine Lin, Calton Pu, Ling Liu

Proceedings of the 7th IEEE International Conference on Cognitive Machine Intelligence, 2025

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

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

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

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack.

Tiansheng Huang, Sihao Hu, Ling Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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