{"640011":{"#nid":"640011","#data":{"type":"news","title":"Google Awards Computing Student for Outstanding Machine Learning Research","body":[{"value":"\u003Cp\u003ESchool of Computational Science and Engineering (CSE) Ph.D. student\u0026nbsp;\u003Cstrong\u003EXinshi Chen\u003C\/strong\u003E\u0026nbsp;is being recognized for her work in machine learning with a prestigious fellowship.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChen specializes in principled machine learning research with a focus on learning-based algorithm design and deep learning structured data. Her work has garnered the attention of Google and recently received the\u0026nbsp;\u003Ca href=\u0022https:\/\/research.google\/outreach\/phd-fellowship\/recipients\/\u0022\u003E2020 Google Ph.D. Fellowship\u003C\/a\u003E\u0026nbsp;for outstanding graduate research in machine learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of her recent co-authored papers aims to\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2006.13401.pdf\u0022\u003Ecreate a system that can automatically learn an algorithm\u003C\/a\u003E\u0026nbsp;from data and apply the learned algorithm to solve new problems. The paper, developed with CSE Associate Professor\u0026nbsp;\u003Cstrong\u003ELe Song\u003C\/strong\u003E, along with\u0026nbsp;\u003Cstrong\u003EYufei Zhang\u003C\/strong\u003E\u0026nbsp;and\u0026nbsp;\u003Cstrong\u003EChristoph Reisinger\u003C\/strong\u003E\u0026nbsp;of the University of Oxford, will be presented at the\u0026nbsp;\u003Ca href=\u0022https:\/\/nips.cc\/Conferences\/2020\/CallForTutorials\u0022\u003EThirty-fourth Conference on Neural Information Processing Systems\u003C\/a\u003E, which is scheduled for Dec. 6 through 12.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChen said, \u0026ldquo;Both algorithms and deep learning models aim to solve problems and make predictions for various tasks. Our project investigates the connection between traditional algorithms and deep learning models, and the strengths of these two can be combined to help each other.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to Chen, the design of algorithms can be automated and improved upon by learning from data with data-driven components filling the gaps between the rules designed by experts and the real-world observations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;On the other hand, deep learning models can use algorithm structures as inductive bias for designing the architectures, which can improve the data efficiency and interpretability of deep learning models,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;By viewing learning-based algorithms as deep learning models, currently we are designing a theoretical framework to understand their behaviors from the learning theory perspective, by characterizing their generalization, representation abilities, and more,\u0026rdquo; said Chen.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhen asked why she chose to study with the School of CSE despite her machine learning emphasis, Chen said it was due to its interdisciplinary approach to modern science.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;There is a broad range of research topics that CSE faculty are working on, and many of these research topics are closely related to our daily life, including high-performance computing, healthcare, and computational biology. It is very useful to attend the seminars organized by CSE and interact with people with different backgrounds as it can bring in new ideas from communities outside machine learning,\u0026rdquo; she said.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Xinshi Chen is the recipient of the 2020 Google Ph.D. Fellowship for Machine Learning"}],"uid":"34540","created_gmt":"2020-10-08 13:51:39","changed_gmt":"2020-12-04 15:42:57","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2020-10-08T00:00:00-04:00","iso_date":"2020-10-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"640010":{"id":"640010","type":"image","title":"Xinshi Chen","body":null,"created":"1602164968","gmt_created":"2020-10-08 13:49:28","changed":"1602164968","gmt_changed":"2020-10-08 13:49:28","alt":"headshot of woman with dark hair and white shirt","file":{"fid":"243293","name":"XinshiChenHeadshot.jpg","image_path":"\/sites\/default\/files\/images\/XinshiChenHeadshot.jpg","image_full_path":"http:\/\/tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/XinshiChenHeadshot.jpg","mime":"image\/jpeg","size":468199,"path_740":"http:\/\/tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/XinshiChenHeadshot.jpg?itok=zBYbpaAs"}}},"media_ids":["640010"],"groups":[{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"47223","name":"College of Computing"},{"id":"455941","name":"School of Awesome"}],"categories":[],"keywords":[{"id":"4305","name":"cse"},{"id":"3165","name":"google"},{"id":"185278","name":"xinshi Chen"},{"id":"1096","name":"Ph.D."},{"id":"186388","name":"Student Highlight"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}