{"id":193,"date":"2023-02-27T15:37:10","date_gmt":"2023-02-27T14:37:10","guid":{"rendered":"https:\/\/wp.unil.ch\/aail\/?page_id=193"},"modified":"2026-01-22T11:58:22","modified_gmt":"2026-01-22T10:58:22","slug":"conference-proceedings","status":"publish","type":"page","link":"https:\/\/wp.unil.ch\/aail\/conference-proceedings\/","title":{"rendered":"Conference Proceedings"},"content":{"rendered":"\n<p><strong>Erd\u00f6s Number: 4<\/strong> (Erd\u00f6s &gt; Noga Alon &gt; Rudolf Fleischer &gt; Jiong Guo &gt; Yash Raj Shrestha)<\/p>\n\n\n\n<p><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Amgain, S., Shrestha, P., Khanal, B., Devkota, A., Shrestha, Y. R., Baek, S., Gyawali, P., &amp; Bhattarai, B. (2026). <strong>Local K-Similarity Constraint for Federated Learning with Label Noise.<\/strong> In <em>Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2026)<\/em>.<a href=\"https:\/\/arxiv.org\/abs\/2511.06169\"> paper<\/a><\/li>\n\n\n\n<li>Feng, Y., Feuerriegel, S., &amp; Shrestha, Y. R. (2026). <strong>Contextualizing Recommendation Explanations with LLMs: A User Study. <\/strong><em>International AAAI Conference on Web and Social Media (ICWSM).<\/em> <a href=\"https:\/\/arxiv.org\/pdf\/2501.12152\">paper<\/a><\/li>\n\n\n\n<li>Bashardoust, A., Feng, Y., Geissler, D., Feuerriegel, S., &amp; Shrestha, Y. R. (2026).<strong> The Effect of Education in Prompt Engineering: Evidence from Journalists.<\/strong> <em>International AAAI Conference on Web and Social Media (ICWSM).<\/em> <a href=\"https:\/\/arxiv.org\/pdf\/2409.12320\">paper<\/a><\/li>\n\n\n\n<li>Tataro\u011flu \u00d6zbulak, G. A, Shrestha, Y. R., &amp; Calbimonte, J. P. (2025).&nbsp;<strong>CAST-GNN: Continual adaptive learning for custom spatio-temporal knowledge graphs via graph neural networks.<\/strong>&nbsp;<em>Proceedings of the IEEE International Conference on Data Mining (ICDM 2025).<\/em>&nbsp;IEEE. <a href=\"https:\/\/video.computer.org\/ICDM25\/32BZcfa5naHqFqjafGuURs-DM925-tataroglu.mp4.html\">video<\/a><\/li>\n\n\n\n<li>Feng, Y., Choudhary, V., &amp; Shrestha, Y. R. (2025). <strong>Noise, Adaptation, and Strategy: Assessing LLM Fidelity in Decision-Making.<\/strong> <em>Conference on Empirical Methods in Natural Language Processing (EMNLP).<\/em> <a href=\"https:\/\/arxiv.org\/pdf\/2508.15926\">paper<\/a><\/li>\n\n\n\n<li>Tataro\u011flu \u00d6zbulak, G. A., Shrestha, Y. R., &amp; Calbimonte, J.-P. (2025). <strong>STKGNN: Scalable Spatio-Temporal Knowledge Graph Reasoning for Activity Recognition.<\/strong> <em>Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM).<\/em> <a href=\"https:\/\/wp.unil.ch\/aail\/files\/2025\/11\/presentation_cikm_gozde.pdf\">paper<\/a><\/li>\n\n\n\n<li>Koju, S., Bastola, S., Shrestha, P., Amgain, S., Shrestha, Y. R., Poudel, R. P., &amp; Bhattarai, B. (2025). <strong>Surgical Vision World Model.<\/strong>&nbsp;<em>MICCAI<\/em> <a href=\"https:\/\/arxiv.org\/pdf\/2503.02904\">paper<\/a><\/li>\n\n\n\n<li>Pokhrel, Sandesh, Sanjay Bhandari, Sharib Ali, Tryphon Lambrou, Anh Nguyen, Yash Raj Shrestha, Angus Watson, Danail Stoyanov, Prashnna Gyawali, and Binod Bhattarai. (2025) <strong>NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision.<\/strong> <em>MIUA<\/em> <a href=\"https:\/\/arxiv.org\/pdf\/2412.01590?\">paper<\/a><\/li>\n\n\n\n<li>Khanal, B., Pokhrel, S., Bhandari, S., Rana, R., Shrestha, N., Gurung, R.B., Linte, C.A., Watson, A.J., Shrestha, Y.R. and Bhattarai, B., (2025). <strong>Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models. <\/strong> <em>MICCAI<\/em> <a href=\"https:\/\/arxiv.org\/pdf\/2505.07001\">paper<\/a><\/li>\n\n\n\n<li>Pokhrel, S., Bhandari, S., Vasquez, E., Shrestha, YR &amp; Bhattarai, B. (2024). <strong>Cross-task Data Augmentation by Pseudo-label Generation for Region-based Coronary Artery Instance Segmentation.<\/strong> In&nbsp;<em>MICCAI Workshop on Data Engineering in Medical Imaging&nbsp;<\/em>(pp. 166-175). Cham: Springer Nature Switzerland. <a href=\"https:\/\/arxiv.org\/pdf\/2310.05990\">paper<\/a><\/li>\n\n\n\n<li>Jamet, H., Manderlier, M., Shrestha, Y. R. and Vlachos, M. (2024). <strong>Evaluation and simplification of text difficulty using LLMs in the context of recommending texts in French to facilitate language learning.<\/strong> In&nbsp;<em>Proceedings of the 18th ACM Conference on Recommender Systems&nbsp;(pp. 987-992).<\/em> <a href=\"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3640457.3688181\">paper<\/a><\/li>\n\n\n\n<li>Poudel, P., Shrestha, P., Amgain, S., Shrestha, Y. R., Gyawali, P. &amp; Bhattarai B. (2024). <strong>CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities.<\/strong> In&nbsp;<em>International Conference on Medical Image Computing and Computer-Assisted Intervention&nbsp;<\/em>(pp. 102-112). Cham: Springer Nature Switzerland. <a href=\"https:\/\/arxiv.org\/pdf\/2407.08648\">paper<\/a><\/li>\n\n\n\n<li>Bashardoust, A., Feuerriegel, S., &amp; Shrestha, Y. R. (2024). <strong>Comparing the willingness to share for human-generated vs. AI-generated fake news.<\/strong>&nbsp;<em>Proceedings of the ACM on Human-Computer Interaction, 8<\/em>(CSCW2): 1-21. <a href=\"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3687028\">paper<\/a><\/li>\n\n\n\n<li>Jamet H, Shrestha YR, Vlachos M (2024). <strong>Difficulty Estimation and Simplification of French Texts Using LLMs.<\/strong> In&nbsp;<em>International Conference on Intelligent Tutoring Systems<\/em>&nbsp;(pp. 395-404). Cham: Springer Nature Switzerland. <a href=\"https:\/\/arxiv.org\/pdf\/2407.18061\">paper<\/a><\/li>\n\n\n\n<li>Bashardoust, A., Negin, S., Haki, K., &amp; Shrestha, Y. R. (2023) <strong>Employing Machine Learning to Advance Agent-based Modeling in Information Systems Research (ICIS) <\/strong><em>International Conference on Information Systems<\/em>. <a href=\"https:\/\/arodes.hes-so.ch\/record\/13491?v=pdf\">paper<\/a><\/li>\n\n\n\n<li>Herath, S., J\u00f3hannsson, J. G., Shrestha, Y. R., &amp; von Krogh, G. F. (2023).<strong>&nbsp;Artificial Intelligence-\u200b\u200b\u200bAugmented Decision Making in Supply Chain Monitoring: An Action Design Research Study.<\/strong> Presented at the <em>European Conference on Information Systems (ECIS 2023)<\/em>, Kristiansand, Norway, June 2023.&nbsp;<a href=\"https:\/\/aisel.aisnet.org\/ecis2023_rp\/282\/\" data-type=\"URL\" data-id=\"https:\/\/aisel.aisnet.org\/ecis2023_rp\/282\/\">paper<\/a><\/li>\n\n\n\n<li>Keidar, D., Zhong, M., Zhang, C., Shrestha, Y. R., &amp; Paudel, B. (2021).&nbsp;<strong>Towards Automatic Bias Detection in Knowledge Graphs<\/strong>.<em> <\/em>In <em>Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Findings (EMNLP 2021).<\/em> Nov 7\u201311, 2021&nbsp;<a href=\"https:\/\/aclanthology.org\/2021.findings-emnlp.321\/\">paper<\/a>&nbsp;<a href=\"https:\/\/underline.io\/lecture\/38292-towards-automatic-bias-detection-in-knowledge-graphs\">video<\/a><\/li>\n\n\n\n<li>Arduini, M., Noci, L., Pirovano, F., Zhang, C., Shrestha, Y. R., &amp; Paudel, B. (2020).&nbsp;<strong>Adversarial learning for debiasing knowledge graph embeddings.<\/strong><em>&nbsp;<\/em>In <em>MLG 2020: 16th International Workshop on Miningand Learning with Graphs \u2013 A Workshop at the KDD Conference<\/em>, August 24,2020, San Diego, CA.ACM, New York, NY, USA, 7 pages&nbsp;<a href=\"https:\/\/www.mlgworkshop.org\/2020\/papers\/MLG2020_paper_39.pdf\">paper<\/a>&nbsp;<a href=\"https:\/\/www.youtube.com\/watch?v=a5fFOKc5os8\">video<\/a><\/li>\n\n\n\n<li>Leopold F., Shrestha, Y. R. &amp; Paudel, B. (2020).&nbsp;<strong>A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records.<\/strong>&nbsp;In <em>BioKDD 2020: 19th International Workshop on Data Mining in Bioinformatics<\/em>, August 24, 2020, San Diego, CA.ACM, New York, NY, USA&nbsp;<a href=\"https:\/\/www.researchgate.net\/publication\/342338696_A_Deep_Learning_Pipeline_for_Patient_Diagnosis_Prediction_Using_Electronic_Health_Records\">paper<\/a>&nbsp;<a href=\"https:\/\/www.youtube.com\/watch?v=DcNcrAOZ-wM&amp;list=PLF7zSWyxw2NbPcHIw-eULAtSfCc02WDa8\">video<\/a><\/li>\n\n\n\n<li>Shrestha, Y. R., &amp; Yang, Y. (2019).&nbsp;<strong>Fairness in Algorithmic Decision-Making: Applications in Multi-Winner Voting, Machine Learning, and Recommender Systems.<\/strong>&nbsp;<em>Algorithms<\/em>, 12(9), 199.&nbsp;<a href=\"https:\/\/www.mdpi.com\/1999-4893\/12\/9\/199\">paper<\/a><\/li>\n\n\n\n<li>Yang, Y., Shrestha, Y. R., &amp; Guo, J. (2016).&nbsp;<strong>How Hard Is Bribery with Distance Restrictions?<\/strong>&nbsp;In <em>Proceedings of European Conference on Artificial Intelligence,<\/em> 363-371&nbsp;<a href=\"https:\/\/ebooks.iospress.nl\/publication\/44778\">paper<\/a><\/li>\n\n\n\n<li>Yang, Y., Shrestha, Y. R., Li, W., &amp; Guo, J. (2016).&nbsp;<strong>Kernelization of two path searching problems on split graphs.<\/strong>&nbsp;In <em>Frontiers in Algorithmics , Lecture Notes in Computer Science,<\/em> 238-249.&nbsp;<a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-39817-4_23\">paper<\/a><\/li>\n\n\n\n<li>Mnich, M., Shrestha, Y. R., &amp; Yang, Y. (2015).&nbsp;<strong>When does Schwartz conjecture hold?<\/strong>&nbsp;In <em>Proceedings of the International Joint Conference on Artificial Intelligence<\/em>, 603-609&nbsp;<a href=\"https:\/\/www.ijcai.org\/Proceedings\/15\/Papers\/091.pdf\">paper<\/a><\/li>\n\n\n\n<li>Guo, J., Shrestha, Y. R., &amp; Yang, Y. (2015).&nbsp;<strong>How Credible is the Prediction of a Party-Based Election?<\/strong>&nbsp;In <em>Proceedings of the International Conference on Autonomous Agents and Multiagent Systems<\/em>, 1431-1439. International Foundation for Autonomous Agents and Multiagent Systems.&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/10.5555\/2772879.2773335\">paper<\/a><\/li>\n\n\n\n<li>Yang, Y., Shrestha, Y. R., &amp; Guo, J. (2015).&nbsp;<strong>How Hard is Bribery in Party Based Elections?.<\/strong><em>&nbsp;<\/em>In <em>Proceedings of the International Conference on Autonomous Agents and Multiagent Systems<\/em>,1725-1726. International Foundation for Autonomous Agents and Multiagent Systems.&nbsp;<a href=\"https:\/\/dl.acm.org\/doi\/10.5555\/2772879.2773405\">paper<\/a><\/li>\n\n\n\n<li>Guo, J., Shrestha, Y. R. (2014).&nbsp;<strong>Controlling Two-stage Voting Rules<\/strong>,<em> <\/em>In <em>Proceedings of European Conference on Artificial Intelligence, Frontiers of Artificial Intelligence and Applications<\/em>, 263, 411-416&nbsp;<a href=\"https:\/\/ebooks.iospress.nl\/publication\/36975\">paper<\/a><\/li>\n\n\n\n<li>Guo, J., &amp; Shrestha, Y. R. (2014)&nbsp;<strong>Parameterized Complexity of Edge Interdiction<\/strong>&nbsp;<strong>Problems.<\/strong> In: <em>Computing and Combinatorics, Lecture Notes in Computer Science<\/em>, vol. 8591, 166-178&nbsp;<a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-08783-2_15\">paper<\/a><\/li>\n\n\n\n<li>Guo, J., &amp; Shrestha, Y. R. (2014).&nbsp;<strong>Complexity of Disjoint \u03a0-Vertex Deletion for Disconnected Forbidden Subgraphs.<\/strong>&nbsp;In <em>Algorithms and Computation, Lecture Notes in Computer Science<\/em>, vol. 8344, 286-297&nbsp;<a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-04657-0_27\">paper<\/a><\/li>\n\n\n\n<li>Guo, J., &amp; Shrestha, Y. R. (2012).&nbsp;<strong>Kernelization and Parameterized Complexity of Star Editing and Union Editing.<\/strong>&nbsp;In <em>Algorithms and Computation, Lecture Notes in Computer Science<\/em>, vol. 7676, 126-135&nbsp;<a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-642-35261-4_16\">paper<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Erd\u00f6s Number: 4 (Erd\u00f6s &gt; Noga Alon &gt; Rudolf Fleischer &gt; Jiong Guo &gt; Yash Raj Shrestha)<\/p>\n","protected":false},"author":1002583,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","footnotes":""},"class_list":["post-193","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/wp.unil.ch\/aail\/wp-json\/wp\/v2\/pages\/193","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.unil.ch\/aail\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.unil.ch\/aail\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/aail\/wp-json\/wp\/v2\/users\/1002583"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/aail\/wp-json\/wp\/v2\/comments?post=193"}],"version-history":[{"count":4,"href":"https:\/\/wp.unil.ch\/aail\/wp-json\/wp\/v2\/pages\/193\/revisions"}],"predecessor-version":[{"id":2826,"href":"https:\/\/wp.unil.ch\/aail\/wp-json\/wp\/v2\/pages\/193\/revisions\/2826"}],"wp:attachment":[{"href":"https:\/\/wp.unil.ch\/aail\/wp-json\/wp\/v2\/media?parent=193"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}