Haytham Fayek

According to our database, Haytham Fayek authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation.

Jing Ren, Bowen Li, Ziqi Xu, Xinkun Zhang, Haytham Fayek, Xiaodong Li

CoRR, January, 2026

When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation.

Jing Ren, Bowen Li, Ziqi Xu, Xikun Zhang, Haytham Fayek, Xiaodong Li

Proceedings of the ACM Web Conference 2026, 2026

When to Invoke: Refining LLM Fairness with Toxicity Assessment.

Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham Fayek, Xiaodong Li, Feng Xia

Proceedings of the ACM Web Conference 2026, 2026

Fine-Grained Traceability for Transparent ML Pipelines.

Liping Chen, Mujie Liu, Haytham Fayek

Proceedings of the ACM Web Conference 2026, 2026

2025

Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions.

Nannan Huang, Haytham Fayek, Xiuzhen Zhang

CoRR, August, 2025

Foundation Models for Anomaly Detection: Vision and Challenges.

Jing Ren, Tao Tang, Hong Jia, Haytham Fayek, Xiaodong Li, Suyu Ma, Xiwei Xu, Feng Xia

CoRR, February, 2025

Foundation Models for Anomaly Detection: Vision and Challenges.

Jing Ren, Tao Tang, Hong Jia, Ziqi Xu, Haytham Fayek, Xiaodong Li, Suyu Ma, Xiwei Xu, Feng Xia

AI Mag., 2025

LiteFat: Lightweight Spatio-Temporal Graph Learning for Real-Time Driver Fatigue Detection.

Jing Ren, Suyu Ma, Hong Jia, Xiwei Xu, Ivan Lee, Haytham Fayek, Xiaodong Li, Feng Xia

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024

Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias.

Nannan Huang, Haytham Fayek, Xiuzhen Zhang

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Continual Deep Learning for Time Series Modeling.

Sio-Iong Ao, Haytham Fayek

Sensors, August, 2023

Trusted Autonomous Operations of Distributed Satellite Systems Using Optical Sensors.

Kathiravan Thangavel, Dario Spiller, Roberto Sabatini, Stefania Amici, Nicolas Longépé, Pablo A. Servidia, Pier Marzocca, Haytham Fayek, Luigi Ansalone

Sensors, March, 2023

Autonomous Satellite Wildfire Detection Using Hyperspectral Imagery and Neural Networks: A Case Study on Australian Wildfire.

Kathiravan Thangavel, Dario Spiller, Roberto Sabatini, Stefania Amici, Sarathchandrakumar Thottuchirayil Sasidharan, Haytham Fayek, Pier Marzocca

Remote. Sens., February, 2023

Examining Bias in Opinion Summarisation through the Perspective of Opinion Diversity.

Nannan Huang, Lin Tian, Haytham Fayek, Xiuzhen Zhang

Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

IberLEF 2023 AuTexTification: Automated Text Identification Shared Task - Team OD-21.

Rinaldo Gagiano, Haytham Fayek, Maria Myung-Hee Kim, Jennifer Biggs, Xiuzhen Zhang

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023