Performance Analysis of Semi-Supervised Learning Methods under Different Missing Label Patterns. - Fatih Ilhan; Emre Mumcuoglu (SIU, 2020)

Spatio-Temporal Crime Prediction with Temporally Hierarchical Convolutional Neural Networks. - Fatih Ilhan; Selim F. Tekin; Bilgin Aksoy (SIU, 2020)

LSTM-Based Online Learning with Extended Kalman Filter Based Training Algorithm. - Fatih Ilhan; Nuri Mert Vural; Suleyman Serdar Kozat (SIU, 2020)

Online Shortest Path Learning via Convex Optimization. - Nuri Mert Vural; Burak Altas; Fatih Ilhan; Suleyman Serdar Kozat (SIU, 2020)

Shortest Path Learning in Non-Stationary Enviroments via Online Convex Optimization. - Nuri Mert Vural; Burak Altas; Fatih Ilhan; Suleyman Serdar Kozat (SIU, 2020)

Achieving Online Regression Performance of LSTMs with Simple RNNs. - Nuri Mert Vural; Fatih Ilhan; Selim Firat Yilmaz; Suleyman Serdar Kozat (CoRR, 2020)

Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks. - Oguzhan Karaahmetoglu; Fatih Ilhan; Ismail Balaban; Suleyman Serdar Kozat (CoRR, 2020)

Modeling of Spatio-Temporal Hawkes Processes With Randomized Kernels. - Fatih Ilhan; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2020)

Spatio-temporal Weather Forecasting and Attention Mechanism on Convolutional LSTMs. - Selim Furkan Tekin; Oguzhan Karaahmetoglu; Fatih Ilhan; Ismail Balaban; Suleyman Serdar Kozat (CoRR, 2021)

Achieving Online Regression Performance of LSTMs With Simple RNNs. - Nuri Mert Vural; Fatih Ilhan; Selim Firat Yilmaz; Salih Ergüt; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2022)

STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. - Ka Ho Chow; Ling Liu 001; Wenqi Wei 001; Fatih Ilhan; Yanzhao Wu 001 (CVPR, 2023)

ScaleFL: Resource-Adaptive Federated Learning with Heterogeneous Clients. - Fatih Ilhan; Gong Su; Ling Liu 001 (CVPR, 2023)

Scalable Federated Learning with System Heterogeneity. - Fatih Ilhan; Gong Su; Qingyang Wang 001; Ling Liu 001 (ICDCS, 2023)

Model Cloaking against Gradient Leakage. - Wenqi Wei 001; Ka-Ho Chow; Fatih Ilhan; Yanzhao Wu 001; Ling Liu 001 (ICDM, 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)

EENet: Learning to Early Exit for Adaptive Inference. - Fatih Ilhan; Ling Liu 001; Ka Ho Chow; Wenqi Wei 001; Yanzhao Wu 001; Myungjin Lee; Ramana Kompella; Hugo Latapie; Gaowen Liu (CoRR, 2023)

Markovian RNN: An Adaptive Time Series Prediction Network With HMM-Based Switching for Nonstationary Environments. - Fatih Ilhan; Oguzhan Karaahmetoglu; Ismail Balaban; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2023)

Comparison and evaluation of augmented reality technologies for designing interactive materials. - Mustafa Sat; Fatih Ilhan; Erman Yükseltürk (Educ. Inf. Technol., 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)

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

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)

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)

H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs. - Selim Furkan Tekin; Fatih Ilhan; Tiansheng Huang; Sihao Hu; Zachary Yahn; Ling Liu 001 (CoRR, 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)

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)

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)

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)