{"685356":{"#nid":"685356","#data":{"type":"event","title":"School of CSE Seminar Series: Wei-Lun (Harry) Chao","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Wei-Lun (Harry) Chao, associate professor at the Ohio State University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 31, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Kai Wang\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EInterpretable AI: A Goal-Oriented, User-Centric Perspective\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E How do deep learning \u201cvision\u201d models arrive at their predictions? This fundamental question has motivated a vibrant line of work in explainable and interpretable AI (XAI). In this talk, I will introduce XAI from a goal-oriented, user-centric perspective, emphasizing explanations that serve scientists\u2019 and practitioners\u2019 needs rather than merely optimizing proxy metrics. I will then showcase milestones from Imageomics (\u003Ca href=\u0022https:\/\/imageomics.osu.edu\/)%E2%80%94an\u0022\u003Ehttps:\/\/imageomics.osu.edu\/)\u003C\/a\u003E -- an emerging interdisciplinary field to make biological traits computable from images\u2014including Finer-CAM and interpretable transformers for precise, fine-grained attribution; sparse autoencoders (SAE) that uncover meaningful features for scientific discovery; BioCLIP, a vision foundation model built for the Tree of Life; and Static Segmentation by Tracking (SST) for specimen image analysis. I will conclude with a discussion on the future research opportunities in this exciting frontier.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Wei-Lun (Harry) Chao (\u003Ca href=\u0022https:\/\/cse.osu.edu\/people\/chao.209\u0022 id=\u0022OWA2a9ae790-9145-c433-a432-92b60e0f3e3c\u0022 title=\u0022https:\/\/cse.osu.edu\/people\/chao.209\u0022\u003Ehttps:\/\/cse.osu.edu\/people\/chao.209\u003C\/a\u003E) is an Associate Professor and College of Engineering Innovation Scholar in Computer Science and Engineering at The Ohio State University (OSU). His research focuses on machine learning and computer vision, with applications spanning visual recognition, autonomous driving, biology, and healthcare. He aims to develop fundamental understandings and robust, widely applicable algorithms to tackle real-world challenges. He is particularly interested in learning from imperfect data, including limited, noisy, heterogeneous, distribution-shifting, and inaccessible data. His contributions have been recognized by several awards and honors, including the OSU Early Career Distinguished Scholar Award (2025) and CVPR Best Student Paper Award (2024). Before joining OSU in 2019, he was a Postdoctoral Associate at Cornell University (2018\u20132019), working with Kilian Weinberger and Mark Campbell. He earned his Ph.D. in Computer Science from the University of Southern California (2013\u20132018) under the supervision of Fei Sha.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Wei-Lun (Harry) Chao, associate professor at the Ohio State University\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;October 31, 2:00-3:00 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda 114\u003Cbr\u003E\u003Cstrong\u003EHost:\u003C\/strong\u003E\u0026nbsp;Kai Wang\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003EInterpretable AI: A Goal-Oriented, User-Centric Perspective\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"School of CSE hosts a seminar from Ohio State University Associate Professor Wei-Lun (Harry) Chao"}],"uid":"36319","created_gmt":"2025-09-29 15:32:41","changed_gmt":"2025-10-31 12:49:34","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-10-31T14:00:00-04:00","event_time_end":"2025-10-31T15:00:00-04:00","event_time_end_last":"2025-10-31T15:00:00-04:00","gmt_time_start":"2025-10-31 18:00:00","gmt_time_end":"2025-10-31 19:00:00","gmt_time_end_last":"2025-10-31 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda 114","extras":[],"hg_media":{"678174":{"id":"678174","type":"image","title":"Wei-Lun--Harry--Chao.png","body":null,"created":"1759160020","gmt_created":"2025-09-29 15:33:40","changed":"1759160020","gmt_changed":"2025-09-29 15:33:40","alt":"Wei-Lun (Harry) Chao CSE","file":{"fid":"262167","name":"Wei-Lun--Harry--Chao.png","image_path":"\/sites\/default\/files\/2025\/09\/29\/Wei-Lun--Harry--Chao.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/09\/29\/Wei-Lun--Harry--Chao.png","mime":"image\/png","size":1747101,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/09\/29\/Wei-Lun--Harry--Chao.png?itok=LSudlfDn"}}},"media_ids":["678174"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKai Wang (kwang692@gatech.edu)\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}