{"id":1100,"date":"2025-10-01T17:26:00","date_gmt":"2025-10-01T17:26:00","guid":{"rendered":"https:\/\/www.smreza.com\/profile\/?p=1100"},"modified":"2026-08-05T17:58:17","modified_gmt":"2026-08-05T17:58:17","slug":"new-publication-and-best-paper-recognition-at-icicc-2025-conference","status":"publish","type":"post","link":"https:\/\/www.smreza.com\/profile\/news\/publications\/new-publication-and-best-paper-recognition-at-icicc-2025-conference\/","title":{"rendered":"New Publication and Best Paper Recognition at ICICC 2025 Conference"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">The Data-Driven Decision Making (D3M) Lab is pleased to announce that graduate student <strong>Sravani Malla<\/strong> received <strong>Best Paper recognition<\/strong> for her research titled <strong>&#8220;Enhancing Knowledge Base Completion for Long-tail Entities through Zero-shot Learning&#8221;<\/strong> at the <strong>8th International Conference on Innovative Computing and Communication (ICICC 2025)<\/strong>. The paper was subsequently published in the conference proceedings and is available through Springer Nature.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Publication Information<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Title:<\/strong> <em>Enhancing Knowledge Base Completion for Long-tail Entities through Zero-shot Learning<\/em><br><strong>Conference:<\/strong> 8th International Conference on Innovative Computing and Communication (ICICC 2025)<br><strong>Recognition:<\/strong> Best Paper Award<br><strong>Publication:<\/strong> Springer Nature Conference Proceedings<br><strong>DOI:<\/strong> <a href=\"https:\/\/doi.org\/10.1007\/978-981-96-7137-3_37\">https:\/\/doi.org\/10.1007\/978-981-96-7137-3_37<\/a><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-3a88641f wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full is-resized\"><img fetchpriority=\"high\" decoding=\"async\" width=\"782\" height=\"389\" src=\"https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/08\/enhancing-knowledge-paper.png\" alt=\"enhancing knowledge paper\" class=\"wp-image-1101\" style=\"width:408px;height:auto\" srcset=\"https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/08\/enhancing-knowledge-paper.png 782w, https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/08\/enhancing-knowledge-paper-300x149.png 300w, https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/08\/enhancing-knowledge-paper-768x382.png 768w\" sizes=\"(max-width: 782px) 100vw, 782px\" \/><figcaption class=\"wp-element-caption\">enhancing knowledge paper<\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full is-resized\"><img decoding=\"async\" width=\"491\" height=\"445\" src=\"https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2025\/10\/sravani_-enhance-linkedin.png\" alt=\"sravani_ enhance linkedin\" class=\"wp-image-1104\" style=\"aspect-ratio:1.103396819163558;width:351px;height:auto\" srcset=\"https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2025\/10\/sravani_-enhance-linkedin.png 491w, https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2025\/10\/sravani_-enhance-linkedin-300x272.png 300w\" sizes=\"(max-width: 491px) 100vw, 491px\" \/><figcaption class=\"wp-element-caption\">sravani_ enhance linkedin<\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Knowledge graphs play a critical role in modern artificial intelligence applications, powering search engines, recommendation systems, question-answering platforms, and large language models. However, many knowledge base completion methods struggle when dealing with <strong>long-tail entities<\/strong>, entities that appear infrequently in training data and are therefore often overlooked by traditional machine learning approaches.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To address this challenge, Sravani&#8217;s research introduced a <strong>novel two-stage framework that leverages zero-shot learning for Knowledge Base Completion (KBC)<\/strong>. The proposed approach enables AI systems to make more accurate predictions for underrepresented entities and previously unseen relationships, helping improve the completeness and reliability of knowledge graphs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The project was conducted through collaboration among <strong>Sravani Malla, Dr. Hien Nguyen, Dr. Sayed Mohsin Reza, and Dr. Thien Khai Tran<\/strong>. The work reflects the D3M Lab&#8217;s continued commitment to advancing research in artificial intelligence, machine learning, knowledge representation, and natural language processing.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Receiving the <strong>Best Paper Award<\/strong> at an international conference is a significant accomplishment and recognizes both the technical contribution and the broader impact of the research on the AI community.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Dr. Sayed Reza congratulates Sravani Malla on this outstanding achievement and recognizes the dedication, innovation, and scholarly excellence demonstrated throughout the research process.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><\/h3>\n","protected":false},"excerpt":{"rendered":"<p>The Data-Driven Decision Making (D3M) Lab is pleased to announce that graduate student Sravani Malla received Best Paper recognition for her research titled &#8220;Enhancing Knowledge Base Completion for Long-tail Entities through Zero-shot Learning&#8221; at the 8th International Conference on Innovative Computing and Communication (ICICC 2025). The paper was subsequently published in the conference proceedings and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1101,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[28,37,29,4],"tags":[83,30,5,109],"class_list":["post-1100","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-highlights","category-machine-learning","category-news","category-publications","tag-graduate-research","tag-news","tag-publications","tag-sravani-malla"],"rttpg_featured_image_url":{"full":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/08\/enhancing-knowledge-paper.png",782,389,false],"landscape":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/08\/enhancing-knowledge-paper.png",782,389,false],"portraits":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/08\/enhancing-knowledge-paper.png",782,389,false],"thumbnail":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/08\/enhancing-knowledge-paper-150x150.png",150,150,true],"medium":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/08\/enhancing-knowledge-paper-300x149.png",300,149,true],"large":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/08\/enhancing-knowledge-paper.png",782,389,false],"1536x1536":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/08\/enhancing-knowledge-paper.png",782,389,false],"2048x2048":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/08\/enhancing-knowledge-paper.png",782,389,false]},"rttpg_author":{"display_name":"Sayed Mohsin Reza","author_link":"https:\/\/www.smreza.com\/profile\/author\/smreza\/"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/www.smreza.com\/profile\/category\/highlights\/\" rel=\"category tag\">Highlights<\/a> <a href=\"https:\/\/www.smreza.com\/profile\/category\/machine-learning\/\" rel=\"category tag\">Machine Learning<\/a> <a href=\"https:\/\/www.smreza.com\/profile\/category\/news\/\" rel=\"category tag\">News<\/a> <a href=\"https:\/\/www.smreza.com\/profile\/category\/news\/publications\/\" rel=\"category tag\">Publications<\/a>","rttpg_excerpt":"The Data-Driven Decision Making (D3M) Lab is pleased to announce that graduate student Sravani Malla received Best Paper recognition for her research titled &#8220;Enhancing Knowledge Base Completion for Long-tail Entities through Zero-shot Learning&#8221; at the 8th International Conference on Innovative Computing and Communication (ICICC 2025). The paper was subsequently published in the conference proceedings and&hellip;","_links":{"self":[{"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/posts\/1100","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/comments?post=1100"}],"version-history":[{"count":3,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/posts\/1100\/revisions"}],"predecessor-version":[{"id":1105,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/posts\/1100\/revisions\/1105"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/media\/1101"}],"wp:attachment":[{"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/media?parent=1100"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/categories?post=1100"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/tags?post=1100"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}