Tiansheng Huang

76 papers A* 9A 1B 2Journal 58Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multi-Agent Perception-Action Alliance for Efficient Long Video Reasoning. CoRR Yichang Xu, Gaowen Liu, Ramana Rao Kompella, Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Zachary Yahn, Ling Liu
2026	J	`jnl`	Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding. CoRR Fatih Ilhan, Gaowen Liu, Ramana Rao Kompella, Selim Furkan Tekin, Tiansheng Huang, Zachary Yahn, Yichang Xu, Ling Liu
2026	J	`jnl`	BlockEdge: A Hybrid Blockchain Framework for Secure and Efficient Collaboration in EEC Environments. ACM Trans. Internet Techn. Wangbo Shen, Weiwei Lin, Tiansheng Huang, Xinyi Hu, Mian Guo, Haijie Wu
2026	J	`jnl`	GradCloak: Gradient Obfuscation for Privacy-Preserving Distributed Learning as a Service. IEEE Trans. Serv. Comput. Wenqi Wei, Tiansheng Huang, Sihao Hu, Xinxin Fan, Rui Zhang, Jingya Zhou, Ling Liu
2026	—	`conf`	H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs. EACL (Volume 1: Long Papers) Selim Furkan Tekin, Fatih Ilhan, Sihao Hu, Tiansheng Huang, Yichang Xu, Zachary Yahn, Ling Liu
2026	J	`jnl`	Matching Accounts on Blockchain via Pseudo Fine-tuning of Language Models. ACM Trans. Intell. Syst. Technol. Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Greg Eisenhauer, Margaret L. Loper, Ling Liu
2026	J	`jnl`	Mitigating Safety Tax via Distribution-Grounded Refinement in Large Reasoning Models. CoRR Yingsha Xie, Tiansheng Huang, Enneng Yang, Rui Min, Wenjie Lu, Xiaochun Cao, Naiqiang Tan, Li Shen
2026	J	`jnl`	PokéLLMon: A Grounding and Reasoning Benchmark for Large Language Models in Pokémon Battles. ACM Trans. Internet Techn. Sihao Hu, Tiansheng Huang, Gaowen Liu, Ramana Kompella, Ling Liu
2026	J	`jnl`	Prodigal: Backdoor defense for federated learning beyond robust aggregation. Knowl. Based Syst. Guozhi Liu, Weiwei Lin, Tiansheng Huang, Fang Shi, Xiumin Wang, Li Shen
2026	J	`jnl`	Surgery: Mitigating Harmful Fine-Tuning for Large Language Models via Attention Sink. CoRR Guozhi Liu, Weiwei Lin, Tiansheng Huang, Ruichao Mo, Qi Mu, Xiumin Wang, Li Shen
2025	J	`jnl`	AdaptiveFL: Communication-Adaptive Federated Learning Under Dynamic Bandwidth. IEEE Trans. Neural Networks Learn. Syst. Guozhi Liu, Weiwei Lin, Tiansheng Huang, Fang Shi, Wentai Wu, Li Shen
2025	J	`jnl`	Adversarial Attention Perturbations for Large Object Detection Transformers. CoRR Zachary Yahn, Selim Furkan Tekin, Fatih Ilhan, Sihao Hu, Tiansheng Huang, Yichang Xu, Margaret Loper, Ling Liu
2025	A*	`conf`	Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack. ICML Tiansheng Huang, Gautam Bhattacharya, Pratik Joshi, Joshua Kimball, Ling Liu
2025	A*	`conf`	Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation. ICLR Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu
2025	J	`jnl`	CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning. CoRR Biao Yi, Tiansheng Huang, Baolei Zhang, Tong Li, Lihai Nie, Zheli Liu, Li Shen
2025	—	`conf`	FedHFT: Efficient Federated Fine-tuning with Heterogeneous Edge Clients. CogMI Fatih Ilhan, Selim Furkan Tekin, Tiansheng Huang, Gaowen Liu, Ramana Kompella, Greg Eisenhauer, Yingyan Celine Lin, Calton Pu, Ling Liu
2025	J	`jnl`	FedHFT: Efficient Federated Finetuning with Heterogeneous Edge Clients. CoRR Fatih Ilhan, Selim Furkan Tekin, Tiansheng Huang, Gaowen Liu, Ramana Kompella, Greg Eisenhauer, Yingyan Celine Lin, Calton Pu, Ling Liu
2025	J	`jnl`	Gradient Surgery for Safe LLM Fine-Tuning. CoRR Biao Yi, Jiahao Li, Baolei Zhang, Lihai Nie, Tong Li, Tiansheng Huang, Zheli Liu
2025	J	`jnl`	Language-Vision Planner and Executor for Text-to-Visual Reasoning. CoRR Yichang Xu, Gaowen Liu, Ramana Rao Kompella, Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Zachary Yahn, Ling Liu
2025	J	`jnl`	Multi-Agent Reinforcement Learning with Focal Diversity Optimization. CoRR Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Zachary Yahn, Ling Liu
2025	J	`jnl`	Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation. CoRR Yibo Wang, Tiansheng Huang, Li Shen, Huanjin Yao, Haotian Luo, Rui Liu, Naiqiang Tan, Jiaxing Huang, Dacheng Tao
2025	J	`jnl`	Pharmacist: Safety Alignment Data Curation for Large Language Models against Harmful Fine-tuning. CoRR Guozhi Liu, Qi Mu, Tiansheng Huang, Xinhua Wang, Li Shen, Weiwei Lin, Zhang Li
2025	A*	`conf`	Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models. ICLR Biao Yi, Tiansheng Huang, Sishuo Chen, Tong Li, Zheli Liu, Zhixuan Chu, Yiming Li
2025	J	`jnl`	Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models. CoRR Biao Yi, Tiansheng Huang, Sishuo Chen, Tong Li, Zheli Liu, Zhixuan Chu, Yiming Li
2025	J	`jnl`	R1-Compress: Long Chain-of-Thought Compression via Chunk Compression and Search. CoRR Yibo Wang, Li Shen, Huanjin Yao, Tiansheng Huang, Rui Liu, Naiqiang Tan, Jiaxing Huang, Kai Zhang, Dacheng Tao
2025	J	`jnl`	Rebellion: Noise-Robust Reasoning Training for Audio Reasoning Models. CoRR Tiansheng Huang, Virat Shejwalkar, Oscar Chang, Milad Nasr, Ling Liu
2025	J	`jnl`	Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning. ACM Trans. Intell. Syst. Technol. Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Margaret Loper, Ling Liu
2025	J	`jnl`	Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable. CoRR Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Zachary Yahn, Yichang Xu, Ling Liu
2025	J	`jnl`	Targeted Vaccine: Safety Alignment for Large Language Models Against Harmful Fine-Tuning via Layer-Wise Perturbation. IEEE Trans. Inf. Forensics Secur. Guozhi Liu, Weiwei Lin, Qi Mu, Tiansheng Huang, Ruichao Mo, Yuren Tao, Li Shen
2025	J	`jnl`	TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs. CoRR Yan Sun, Tiansheng Huang, Liang Ding, Li Shen, Dacheng Tao
2025	J	`jnl`	Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation. CoRR Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu
2024	J	`jnl`	A Survey on Large Language Model-Based Game Agents. CoRR Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim F. Tekin, Gaowen Liu, Ramana Kompella, Ling Liu
2024	A	`conf`	Adaptive Deep Neural Network Inference Optimization with EENet. WACV 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
2024	J	`jnl`	Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning. CoRR Tiansheng Huang, Gautam Bhattacharya, Pratik Joshi, Josh Kimball, Ling Liu
2024	J	`jnl`	Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation. CoRR Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu
2024	J	`jnl`	CIFTC-Net: Cross information fusion network with transformer and CNN for polyp segmentation. Displays Xinyu Li, Qiaohong Liu, Xuewei Li, Tiansheng Huang, Min Lin, Xiaoxiang Han, Weikun Zhang, Keyan Chen, Yuanjie Lin
2024	J	`jnl`	Data Poisoning and Leakage Analysis in Federated Learning. CoRR Wenqi Wei, Tiansheng Huang, Zachary Yahn, Anoop Singhal, Margaret Loper, Ling Liu
2024	J	`jnl`	Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition. Proc. Priv. Enhancing Technol. Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Fatih Ilhan, Wenqi Wei, Ling Liu
2024	J	`jnl`	H CoRR Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Zachary Yahn, Ling Liu
2024	J	`jnl`	Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey. CoRR Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu
2024	—	`conf`	LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity. EMNLP (Findings) Selim F. Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ling Liu
2024	J	`jnl`	LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity. CoRR Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ling Liu
2024	J	`jnl`	Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning. CoRR Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu
2024	A*	`conf`	Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack. NeurIPS Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim F. Tekin, Ling Liu
2024	—	`conf`	Personalized Privacy Protection Mask Against Unauthorized Facial Recognition. ECCV (82) Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Ling Liu
2024	J	`jnl`	Personalized Privacy Protection Mask Against Unauthorized Facial Recognition. CoRR Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Ling Liu
2024	J	`jnl`	PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models. CoRR Sihao Hu, Tiansheng Huang, Ling Liu
2024	A*	`conf`	Resource- Efficient Transformer Pruning for Finetuning of Large Models. CVPR Fatih Ilhan, Gong Su, Selim Furkan Tekin, Tiansheng Huang, Sihao Hu, Ling Liu
2024	J	`jnl`	Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning. CoRR Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ka-Ho Chow, Margaret L. Loper, Ling Liu
2024	J	`jnl`	Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation. CoRR Guozhi Liu, Weiwei Lin, Tiansheng Huang, Ruichao Mo, Qi Mu, Li Shen
2024	J	`jnl`	Vaccine: Perturbation-aware Alignment for Large Language Model. CoRR Tiansheng Huang, Sihao Hu, Ling Liu
2024	A*	`conf`	Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack. NeurIPS Tiansheng Huang, Sihao Hu, Ling Liu
2024	A*	`conf`	ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. WWW Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu
2023	A*	`conf`	FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. ICLR Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao
2023	J	`jnl`	FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. CoRR Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao
2023	J	`jnl`	Fusion of Global and Local Knowledge for Personalized Federated Learning. CoRR Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
2023	J	`jnl`	Fusion of Global and Local Knowledge for Personalized Federated Learning. Trans. Mach. Learn. Res. Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
2023	—	`conf`	Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems. WWW (Companion Volume) Fatih Ilhan, Selim Furkan Tekin, Sihao Hu, Tiansheng Huang, Ka Ho Chow, Ling Liu
2023	J	`jnl`	Joint Task Offloading and Service Placement for Mobile Edge Computing: An Online Two-Timescale Approach. IEEE Trans. Cloud Comput. Xin Li, Xinglin Zhang, Tiansheng Huang
2023	—	`conf`	Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives. TPS-ISA Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Ling Liu
2023	J	`jnl`	Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives. CoRR Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Ling Liu
2023	A*	`conf`	Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training. NeurIPS Tiansheng Huang, Sihao Hu, Ka Ho Chow, Fatih Ilhan, Selim F. Tekin, Ling Liu
2022	J	`jnl`	Achieving Personalized Federated Learning with Sparse Local Models. CoRR Tiansheng Huang, Shiwei Liu, Li Shen, Fengxiang He, Weiwei Lin, Dacheng Tao
2022	J	`jnl`	Adaptive Processor Frequency Adjustment for Mobile-Edge Computing With Intermittent Energy Supply. IEEE Internet Things J. Tiansheng Huang, Weiwei Lin, Xiaobin Hong, Xiumin Wang, Qingbo Wu, Rui Li, Ching-Hsien Hsu, Albert Y. Zomaya
2022	J	`jnl`	Contribution-based Federated Learning client selection. Int. J. Intell. Syst. Weiwei Lin, Yinhai Xu, Bo Liu, Dongdong Li, Tiansheng Huang, Fang Shi
2022	J	`jnl`	Energy-Efficient Computation Offloading for UAV-Assisted MEC: A Two-Stage Optimization Scheme. ACM Trans. Internet Techn. Weiwei Lin, Tiansheng Huang, Xin Li, Fang Shi, Xiumin Wang, Ching-Hsien Hsu
2022	J	`jnl`	Stochastic Client Selection for Federated Learning With Volatile Clients. IEEE Internet Things J. Tiansheng Huang, Weiwei Lin, Li Shen, Keqin Li, Albert Y. Zomaya
2022	J	`jnl`	VFedCS: Optimizing Client Selection for Volatile Federated Learning. IEEE Internet Things J. Fang Shi, Chunchao Hu, Weiwei Lin, Lisheng Fan, Tiansheng Huang, Wentai Wu
2021	J	`jnl`	Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply. CoRR Tiansheng Huang, Weiwei Lin, Ying Li, Xiumin Wang, Qingbo Wu, Rui Li, Ching-Hsien Hsu, Albert Y. Zomaya
2021	J	`jnl`	An Ant Colony Optimization-Based Multiobjective Service Replicas Placement Strategy for Fog Computing. IEEE Trans. Cybern. Tiansheng Huang, Weiwei Lin, Chennian Xiong, Rui Pan, Jingxuan Huang
2021	J	`jnl`	An Efficiency-Boosting Client Selection Scheme for Federated Learning With Fairness Guarantee. IEEE Trans. Parallel Distributed Syst. Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya
2021	B	`conf`	Asynchronous Online Service Placement and Task Offloading for Mobile Edge Computing. SECON Xin Li, Xinglin Zhang, Tiansheng Huang
2020	J	`jnl`	An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee. CoRR Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya
2020	J	`jnl`	Stochastic Client Selection for Federated Learning with Volatile Clients. CoRR Tiansheng Huang, Weiwei Lin, Keqin Li, Albert Y. Zomaya
2020	B	`conf`	Virtual Machine Consolidation for NUMA Systems: A Hybrid Heuristic Grey Wolf Approach. ICPADS Kangli Hu, Weiwei Lin, Tiansheng Huang, Keqin Li, Like Ma
2019	J	`jnl`	A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing. J. Signal Process. Syst. Tiansheng Huang, Weiwei Lin, Yin Li, Ligang He, Shaoliang Peng