Haytham Fayek

19 papers A* 3A 1Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Fine-Grained Traceability for Transparent ML Pipelines.
WWW
Liping Chen, Mujie Liu, Haytham Fayek
2026 J jnl
Fine-Grained Traceability for Transparent ML Pipelines.
CoRR
Liping Chen, Mujie Liu, Haytham Fayek
2026 A* conf
When to Invoke: Refining LLM Fairness with Toxicity Assessment.
WWW
Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham Fayek, Xiaodong Li, Feng Xia
2026 J jnl
When to Invoke: Refining LLM Fairness with Toxicity Assessment.
CoRR
Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham Fayek, Xiaodong Li, Feng Xia
2026 A* conf
When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation.
WWW
Jing Ren, Bowen Li, Ziqi Xu, Xikun Zhang, Haytham Fayek, Xiaodong Li
2026 J jnl
When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation.
CoRR
Jing Ren, Bowen Li, Ziqi Xu, Xinkun Zhang, Haytham Fayek, Xiaodong Li
2025 J jnl
Foundation Models for Anomaly Detection: Vision and Challenges.
AI Mag.
Jing Ren, Tao Tang, Hong Jia, Ziqi Xu, Haytham Fayek, Xiaodong Li, Suyu Ma, Xiwei Xu, Feng Xia
2025 J jnl
Foundation Models for Anomaly Detection: Vision and Challenges.
CoRR
Jing Ren, Tao Tang, Hong Jia, Haytham Fayek, Xiaodong Li, Suyu Ma, Xiwei Xu, Feng Xia
2025 J jnl
Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions.
CoRR
Nannan Huang, Haytham Fayek, Xiuzhen Zhang
2025 A conf
LiteFat: Lightweight Spatio-Temporal Graph Learning for Real-Time Driver Fatigue Detection.
IROS
Jing Ren, Suyu Ma, Hong Jia, Xiwei Xu, Ivan Lee, Haytham Fayek, Xiaodong Li, Feng Xia
2025 J jnl
LiteFat: Lightweight Spatio-Temporal Graph Learning for Real-Time Driver Fatigue Detection.
CoRR
Jing Ren, Suyu Ma, Hong Jia, Xiwei Xu, Ivan Lee, Haytham Fayek, Xiaodong Li, Feng Xia
2024 — conf
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias.
EACL (1)
Nannan Huang, Haytham Fayek, Xiuzhen Zhang
2024 J jnl
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias.
CoRR
Nannan Huang, Haytham Fayek, Xiuzhen Zhang
2023 J jnl
Autonomous Satellite Wildfire Detection Using Hyperspectral Imagery and Neural Networks: A Case Study on Australian Wildfire.
Remote. Sens.
Kathiravan Thangavel, Dario Spiller, Roberto Sabatini, Stefania Amici, Sarathchandrakumar Thottuchirayil Sasidharan, Haytham Fayek, Pier Marzocca
2023 J jnl
Continual Deep Learning for Time Series Modeling.
Sensors
Sio-Iong Ao, Haytham Fayek
2023 J jnl
Examining Bias in Opinion Summarisation Through the Perspective of Opinion Diversity.
CoRR
Nannan Huang, Lin Tian, Haytham Fayek, Xiuzhen Zhang
2023 — conf
Examining Bias in Opinion Summarisation through the Perspective of Opinion Diversity.
WASSA@ACL
Nannan Huang, Lin Tian, Haytham Fayek, Xiuzhen Zhang
2023 — conf
IberLEF 2023 AuTexTification: Automated Text Identification Shared Task - Team OD-21.
IberLEF@SEPLN
Rinaldo Gagiano, Haytham Fayek, Maria Myung-Hee Kim, Jennifer Biggs, Xiuzhen Zhang
2023 J jnl
Trusted Autonomous Operations of Distributed Satellite Systems Using Optical Sensors.
Sensors
Kathiravan Thangavel, Dario Spiller, Roberto Sabatini, Stefania Amici, Nicolas Longépé, Pablo A. Servidia, Pier Marzocca, Haytham Fayek, Luigi Ansalone