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Bibek Paudel

Towards Automatic Bias Detection in Knowledge Graphs


Sep 19, 2021
Daphna Keidar, Mian Zhong, Ce Zhang, Yash Raj Shrestha, Bibek Paudel

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* Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Findings (EMNLP 2021). Nov 7--11, 2021 
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Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks


Feb 25, 2021
Bibek Paudel, Abraham Bernstein

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* Proceedings of the Web Conference 2021 (WWW '21), April 19--23, 2021, Ljubljana, Slovenia 
 * Web Conference 2021 (WWW '21) 
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Adversarial Learning for Debiasing Knowledge Graph Embeddings


Jun 29, 2020
Mario Arduini, Lorenzo Noci, Federico Pirovano, Ce Zhang, Yash Raj Shrestha, Bibek Paudel

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A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records


Jun 23, 2020
Leopold Franz, Yash Raj Shrestha, Bibek Paudel

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* BIOKDD 2020 
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Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning


Mar 21, 2019
Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen

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* This paper is accepted by WWW'19 
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Interaction Embeddings for Prediction and Explanation in Knowledge Graphs


Mar 12, 2019
Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen

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* This paper is accepted by WSDM2019 
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Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality


Dec 29, 2018
Bibek Paudel, Sandro Luck, Abraham Bernstein

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* The First International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA), co-organized with the 12th ACM International Conference on Web Search and Data Mining, 2019, Melbourne, Australia 
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