A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing. - Tiansheng Huang; Weiwei Lin 001; Yin Li; Ligang He; Shaoliang Peng (J. Signal Process. Syst., 2019)

Virtual Machine Consolidation for NUMA Systems: A Hybrid Heuristic Grey Wolf Approach. - Kangli Hu; Weiwei Lin 001; Tiansheng Huang; Keqin Li 001; Like Ma (ICPADS, 2020)

Stochastic Client Selection for Federated Learning with Volatile Clients. - Tiansheng Huang; Weiwei Lin 001; Keqin Li 001; Albert Y. Zomaya (CoRR, 2020)

Asynchronous Online Service Placement and Task Offloading for Mobile Edge Computing. - Xin Li 116; Xinglin Zhang; Tiansheng Huang (SECON, 2021)

Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply. - Tiansheng Huang; Weiwei Lin 001; Ying Li 001; Xiumin Wang; Qingbo Wu 003; Rui Li 047; Ching-Hsien Hsu; Albert Y. Zomaya (CoRR, 2021)

An Ant Colony Optimization-Based Multiobjective Service Replicas Placement Strategy for Fog Computing. - Tiansheng Huang; Weiwei Lin 001; Chennian Xiong; Rui Pan; Jingxuan Huang (IEEE Trans. Cybern., 2021)

An Efficiency-Boosting Client Selection Scheme for Federated Learning With Fairness Guarantee. - Tiansheng Huang; Weiwei Lin 001; Wentai Wu; Ligang He; Keqin Li 001; Albert Y. Zomaya (IEEE Trans. Parallel Distributed Syst., 2021)

Achieving Personalized Federated Learning with Sparse Local Models. - Tiansheng Huang; Shiwei Liu 003; Li Shen 008; Fengxiang He; Weiwei Lin 001; Dacheng Tao (CoRR, 2022)

Contribution-based Federated Learning client selection. - Weiwei Lin 001; Yinhai Xu; Bo Liu 001; Dongdong Li; Tiansheng Huang; Fang Shi (Int. J. Intell. Syst., 2022)

Adaptive Processor Frequency Adjustment for Mobile-Edge Computing With Intermittent Energy Supply. - Tiansheng Huang; Weiwei Lin 001; Xiaobin Hong; Xiumin Wang; Qingbo Wu 003; Rui Li 047; Ching-Hsien Hsu; Albert Y. Zomaya (IEEE Internet Things J., 2022)

Stochastic Client Selection for Federated Learning With Volatile Clients. - Tiansheng Huang; Weiwei Lin 001; Li Shen 008; Keqin Li 001; Albert Y. Zomaya (IEEE Internet Things J., 2022)

VFedCS: Optimizing Client Selection for Volatile Federated Learning. - Fang Shi; Chunchao Hu; Weiwei Lin 001; Lisheng Fan; Tiansheng Huang; Wentai Wu (IEEE Internet Things J., 2022)

Energy-Efficient Computation Offloading for UAV-Assisted MEC: A Two-Stage Optimization Scheme. - Weiwei Lin 001; Tiansheng Huang; Xin Li 116; Fang Shi; Xiumin Wang; Ching-Hsien Hsu (ACM Trans. Internet Techn., 2022)

FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. - Yan Sun; Li Shen 008; Tiansheng Huang; Liang Ding 006; Dacheng Tao (ICLR, 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 001 (NeurIPS, 2023)

Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives. - Sihao Hu; Tiansheng Huang; Fatih Ilhan; Selim Furkan Tekin; Ling Liu 001 (TPS-ISA, 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 001 (WWW (Companion Volume), 2023)

Joint Task Offloading and Service Placement for Mobile Edge Computing: An Online Two-Timescale Approach. - Xin Li 116; Xinglin Zhang; Tiansheng Huang (IEEE Trans. Cloud Comput., 2023)

Fusion of Global and Local Knowledge for Personalized Federated Learning. - Tiansheng Huang; Li Shen 008; Yan Sun; Weiwei Lin 001; Dacheng Tao (Trans. Mach. Learn. Res., 2023)

Resource- Efficient Transformer Pruning for Finetuning of Large Models. - Fatih Ilhan; Gong Su; Selim Furkan Tekin; Tiansheng Huang; Sihao Hu; Ling Liu 001 (CVPR, 2024)

Personalized Privacy Protection Mask Against Unauthorized Facial Recognition. - Ka-Ho Chow; Sihao Hu; Tiansheng Huang; Ling Liu 001 (ECCV (82), 2024)

LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity. - Selim F. Tekin; Fatih Ilhan; Tiansheng Huang; Sihao Hu; Ling Liu 001 (EMNLP (Findings), 2024)

Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack. - Tiansheng Huang; Sihao Hu; Ling Liu 001 (NeurIPS, 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 001 (NeurIPS, 2024)

Adaptive Deep Neural Network Inference Optimization with EENet. - Fatih Ilhan; Ka-Ho Chow; Sihao Hu; Tiansheng Huang; Selim F. Tekin; Wenqi Wei 001; Yanzhao Wu 001; Myungjin Lee; Ramana Kompella; Hugo Latapie; Gaowen Liu; Ling Liu 001 (WACV, 2024)

ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. - Sihao Hu; Tiansheng Huang; Ka-Ho Chow; Wenqi Wei 001; Yanzhao Wu 001; Ling Liu 001 (WWW, 2024)

Vaccine: Perturbation-aware Alignment for Large Language Model. - Tiansheng Huang; Sihao Hu; Ling Liu 001 (CoRR, 2024)

PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models. - Sihao Hu; Tiansheng Huang; Ling Liu 001 (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 001 (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 001 (CoRR, 2024)

Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning. - Tiansheng Huang; Sihao Hu; Fatih Ilhan; Selim Furkan Tekin; Ling Liu 001 (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 001 (CoRR, 2024)

Data Poisoning and Leakage Analysis in Federated Learning. - Wenqi Wei 001; Tiansheng Huang; Zachary Yahn; Anoop Singhal; Margaret Loper; Ling Liu 001 (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 001 (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 008 (CoRR, 2024)

H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs. - Selim Furkan Tekin; Fatih Ilhan; Tiansheng Huang; Sihao Hu; Zachary Yahn; Ling Liu 001 (CoRR, 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 001; Weikun Zhang; Keyan Chen 003; Yuanjie Lin (Displays, 2024)

Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition. - Ka-Ho Chow; Sihao Hu; Tiansheng Huang; Fatih Ilhan; Wenqi Wei 001; Ling Liu 001 (Proc. Priv. Enhancing Technol., 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 001 (ICLR, 2025)

Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models. - Biao Yi; Tiansheng Huang; Sishuo Chen; Tong Li 011; Zheli Liu; Zhixuan Chu; Yiming Li 004 (ICLR, 2025)

Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation. - Tiansheng Huang; Sihao Hu; Fatih Ilhan; Selim Furkan Tekin; Ling Liu 001 (CoRR, 2025)

Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation. - Yibo Wang; Tiansheng Huang; Li Shen 008; Huanjin Yao; Haotian Luo; Rui Liu; Naiqiang Tan; Jiaxing Huang 001; Dacheng Tao (CoRR, 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 006; Li Shen 008; Dacheng Tao (CoRR, 2025)

Multi-Agent Reinforcement Learning with Focal Diversity Optimization. - Selim Furkan Tekin; Fatih Ilhan; Tiansheng Huang; Sihao Hu; Zachary Yahn; Ling Liu 001 (CoRR, 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 001 (CoRR, 2025)

CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning. - Biao Yi; Tiansheng Huang; Baolei Zhang; Tong Li 011; Lihai Nie; Zheli Liu; Li Shen 008 (CoRR, 2025)

R1-Compress: Long Chain-of-Thought Compression via Chunk Compression and Search. - Yibo Wang; Li Shen 008; Huanjin Yao; Tiansheng Huang; Rui Liu; Naiqiang Tan; Jiaxing Huang 001; Kai Zhang 008; Dacheng Tao (CoRR, 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 001 (CoRR, 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 001 (CoRR, 2025)

Gradient Surgery for Safe LLM Fine-Tuning. - Biao Yi; Jiahao Li; Baolei Zhang; Lihai Nie; Tong Li 011; Tiansheng Huang; Zheli Liu (CoRR, 2025)