Selected Publications
Representation Learning:
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Towards Robustness Analysis of E-commerce Ranking System (WWW 2024)
Ningfei Wang, Yupin Huang, Han Cheng, Jiri Gesi, Vivek Mittal
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Beyond Self-learned Attention: Mitigating Attention Bias in Transformer-based Models Using Attention Guidance
Jiri Gesi, Iftekhar Ahmed
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Behavior-driven Query Similarity Prediction based on Pre-trained Language Models for E-Commerce Search (SIGIReCom 2023)
Yupin Huang, Jiri Gesi, Xinyu Hong, Han Cheng, Kai Zhong, Vivek Mittal, Qingjun Cui, Vamsi Salaka
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Out of Time: A Case Study of Using Team and Modification Representation Learning for Improving Bug Report Resolution Time Prediction in Ebay
Jiri Gesi, Hanzhang Wang, Bochang Wang, Andrew Truelove, Joontae Park, Iftekhar Ahmed
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Code Clone Detection Using Representation Learning
Jiri Gesi, Andrew Trulove, Faraz Yazdani
Machine Learning Bias:
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Feature Bias in Machine Learning Models: An In-Depth Exploration for Software Engineering Tasks
Jiri Gesi
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Leveraging Feature Bias for Scalable Misprediction Explanation of Machine Learning Models (ICSE 2023)
Jiri Gesi, Xinyun Shen, Yunfan Geng, Qihong Chen, Iftekhar Ahmed
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An Empirical Examination of the Impact of Bias on Just-in-time Defect Prediction (EMSE 2023)
Jiri Gesi, Jiawei Li, Iftekhar Ahmed
Software Verification:
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Code Smells in Machine Learning Systems
Jiri Gesi, Siqi Liu, Jiawei Li, Iftekhar Ahmed, Nachiappan Nagappan, David Lo, Eduardo Santana de Almeida, Pavneet Singh Kochhar, Lingfeng Bao
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Evaluating and Improving Static Analysis Tools Via Differential Mutation Analysis (QRS 2021)
Alex Groce, Iftekhar Ahmed, Josselin Feist, Gustavo Grieco, Jiri Gesi, Mehran Meidani
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Personalized Web Services Interface Design Using Interactive Computational Search (TSE 2018)
Jiri Gesi