{"id":2503,"date":"2025-08-06T01:36:43","date_gmt":"2025-08-06T01:36:43","guid":{"rendered":"https:\/\/kdd2025.kdd.org\/?page_id=2503"},"modified":"2025-08-06T01:40:01","modified_gmt":"2025-08-06T01:40:01","slug":"awards","status":"publish","type":"page","link":"https:\/\/kdd2025.kdd.org\/awards\/","title":{"rendered":"Awards"},"content":{"rendered":"\n<h1 class=\"wp-block-heading has-text-align-center\">Awards<\/h1>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Research Innovation Award<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\">George Karypis, University of Minnesota<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Rising Star Award<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\">Carl Yang, Emory Computer Science<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Test of Time Award \u2013 Research<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>Collaborative Deep Learning for Recommender Systems\u200b<\/strong> <\/p>\n\n\n\n<p class=\"has-text-align-center\">Hao Wang, Naiyan Wang, Dit-Yan Yeung<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Test of Time Award \u2013 Applied Data Science<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>&#8216;Beating the News&#8217; with EMBERS: Forecasting Civil Unrest Using Open Source Indicators\u200b<\/strong> <\/p>\n\n\n\n<p class=\"has-text-align-center\">Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Khandpur, Parang Saraf, Wei Wang, Jose Cadenv, Anil Vullikanti, Gizem Korkmaz, Chris Kuhlman, Achla Marath, Liang Zhao, Ting Hua, Feng Chen, Chang Tien L, Bert Huang, Aravind Srinivasan, \u200bKhoa Trinh, Lise Getoor, \u200bGraham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Summers, Youssef Fayed, \u200bJaime Arredondo,Dipak Gupta, David Mares<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Dissertation Award<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>Computational Methods for Human Networks and High-Stakes Decisions<\/strong> <\/p>\n\n\n\n<p class=\"has-text-align-center\">Serina Chang<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Dissertation Award \u2013 Runner Up<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>Structure-Enhanced Text Mining For Science<\/strong>\u200b <\/p>\n\n\n\n<p class=\"has-text-align-center\">Yu Zhang<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Dissertation Award \u2013 Honorable Mention<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>Data Quality-Aware Graph Machine Learning\u200b<\/strong><\/p>\n\n\n\n<p class=\"has-text-align-center\">Yu Wang<br><br><\/p>\n\n\n\n<p class=\"has-text-align-center\"><strong>Trustworthy Transfer Learning\u200b<\/strong> <\/p>\n\n\n\n<p class=\"has-text-align-center\">Jun Wu<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Best Paper Award \u2013 Research<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>Improving Group Robustness on Spurious Correlation via Evidential Alignment\u200b<\/strong> <\/p>\n\n\n\n<p class=\"has-text-align-center\">Wenqian Ye, Guangtao Zheng, Aidong Zhang<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Runner up for the Best Paper Award \u2013 Research<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>Monitoring Robustness and Individual Fairness\u200b<\/strong> <\/p>\n\n\n\n<p class=\"has-text-align-center\">Ashutosh Gupta, Thomas A. Henzinger, Konstantin Kueffner, Kaushik Mallik, David Pape<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Honorable Mention for the Best Paper Award \u2013 Research<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>SIGEM: A Simple Yet Effective Similarity Based Graph Embedding Method<\/strong> <\/p>\n\n\n\n<p class=\"has-text-align-center\">Masoud Reyhani Hamedani, Jeong-Seok Oh, \u200bSeong-Un Cho, \u200bSang-Wook Kim<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Best Student Paper Award \u2013 Research<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity<\/strong><\/p>\n\n\n\n<p class=\"has-text-align-center\">Shiyin Tan, Dongyuan Li, Renhe Jiang, Zhen Wang, Xingtong Yu, Manabu Okumura<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Runner up for the Best Student Paper Award \u2013 Research<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention<\/strong> <\/p>\n\n\n\n<p class=\"has-text-align-center\">Wen Xiong, Jinduo Liu, Junzhong Ji, Fenglong Ma<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Honorable Mention for the Best Student Paper Award \u2013 Research<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>Verification of Incomplete Graph Unlearning Through Adversarial Perturbations<\/strong> <\/p>\n\n\n\n<p class=\"has-text-align-center\">Kun Wu, Wendy Hui Wang<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Best Paper Award \u2013 Applied Data Science<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>Evaluating Decision Rules Across Many Weak Experiments\u200b<\/strong> <\/p>\n\n\n\n<p class=\"has-text-align-center\">Winston Chou, Colin Gray, \u200bNathan Kallus, Aur\u00e9lien Bibaut, Simon Ejdemyr<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Runner Up for the Best Paper \u2013 Applied Data Science<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>Put Teacher in Student\u2019s Shoes: Cross-Distillation for Ultra-compact Model Compression Framework<\/strong> <\/p>\n\n\n\n<p class=\"has-text-align-center\">Maolin Wang, Jun Chu, Sicong Xie, Xiaoling Zhang, Yap Zhao, Wenliang Zhong, Xiangyu Zhao<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Honorable Mentions for the Best Paper \u2013 Applied Data Science<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>Web Scale Graph Mining for Cyber Threat Intelligence\u200b<\/strong><\/p>\n\n\n\n<p class=\"has-text-align-center\">Scott Freitas, Amir Gharib<br><br><\/p>\n\n\n\n<p class=\"has-text-align-center\"><strong>VLM as Policy: Common-Law Content Moderation Framework for Short Video Platform\u200b<\/strong> <\/p>\n\n\n\n<p class=\"has-text-align-center\">Xingyu Lu, Tianke Zhang, Chang Meng, Xiaobei Wang, Jinpeng Wang, YiFan Zhang, Shisong Tang, Changyi Liu, Haojie Ding, Kaiyu Jiang, Kaiyu Tang, Bin Wen, Hai-Tao Zheng, Fan Yeng, Tingting Gao, Di Zhang, Kun Gai<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Best Paper Award \u2013 Dataset and Benchmark Track<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark\u200b<\/strong> Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Yada Zhu, Julian Shun<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Runner Ups for the Best Paper \u2013 Dataset and Benchmark Track<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center\"><strong>A Guide to Misinformation Detection Data and Evaluation\u200b<\/strong><\/p>\n\n\n\n<p class=\"has-text-align-center\">Camille Thibault, Jacob-Junqi Tian, Gabrielle Peloquin-Skulski, \u200bTaylor Lynn Curtis, James Zhou, Florence Laflamme, Yuxiang Guan, Reihaneh Rabbany, Jean-Francois Godbout, Kellin Pelrine<\/p>\n\n\n\n<p class=\"has-text-align-center\"><strong>HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark\u200b<\/strong> <\/p>\n\n\n\n<p class=\"has-text-align-center\">Jianqing Zhang, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao,Qiang Yang<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\"><strong>Audience Appreciation Awards<\/strong><\/h2>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size\"><strong>August Round<\/strong><\/p>\n\n\n\n<p class=\"has-text-align-center\"><strong>LLMLight: Large Language Models as Traffic Signal Control Agents<\/strong>\u200b<\/p>\n\n\n\n<p class=\"has-text-align-center\">Siqi Lai, Zhao Xu, Weijia Zhang, Hao Liu, and Hui Xiong\u200b<\/p>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size\"><strong>February Round<\/strong><\/p>\n\n\n\n<p class=\"has-text-align-center\"><strong>Theory Instead of Experiment (TIE): A Creator Valuation System at Tencent<\/strong>\u200b<\/p>\n\n\n\n<p class=\"has-text-align-center\">Lei Huang and Juanjuan Zhang<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Awards Research Innovation Award George Karypis, University of Minnesota Rising Star Award Carl Yang, Emory Computer Science Test of Time Award \u2013 Research Collaborative Deep Learning for Recommender Systems\u200b Hao Wang, Naiyan Wang, Dit-Yan Yeung Test of Time Award \u2013 Applied Data Science &#8216;Beating the News&#8217; with EMBERS: Forecasting Civil Unrest Using Open Source Indicators\u200b [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-2503","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/pages\/2503","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/comments?post=2503"}],"version-history":[{"count":8,"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/pages\/2503\/revisions"}],"predecessor-version":[{"id":2512,"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/pages\/2503\/revisions\/2512"}],"wp:attachment":[{"href":"https:\/\/kdd2025.kdd.org\/wp-json\/wp\/v2\/media?parent=2503"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}