My current research interests roughly lie on the intersection of machine learning, algorithmic design, and AI applications in healthcare. More specifically, I am interested in (1) the design of learning algorithms that are able to construct explanations for their predictions in terms of high-level concepts and (2) the broad applications that said algorithms may have in scenarios where transparency is not an option (such as in healthcare). For some more details on the general direction of my research, please refer to my Gates Cambridge scholar profile.

Below you can find a list of some of my publications, including their respective venues, papers, code, and presentations (when applicable). For a possibly more up-to-date list, however, please take refer to my Google Scholar profile.


Workshop Publications (Refereed)

  1. Efficient Decompositional Rule Extraction for Deep Neural Networks
    To appear at the 1st NeurIPS Workshop on eXplainable AI approaches for debugging and diagnosis (XAI4Debugging@NeurIPS), 2021
    Mateo Espinosa Zarlenga, Zohreh Shams, Mateja Jamnik.

Conference Publications (Refereed and Archived)

  1. An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems
    The 24th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2019
    Yu Gan, Yanqi Zhang, Dailun Cheng, Ankitha Shetty, Priyal Rathi, Nayan Katarki, Ariana Bruno, Justin Hu, Brian Ritchken, Brendon Jackson, Kelvin Hu, Meghna Pancholi, Yuan He, Brett Clancy, Chris Colen, Fukang Wen, Catherine Leung, Siyuan Wang, Leon Zaruvinsky, Mateo Espinosa Zarlenga, Rick Lin, Zhongling Liu, Jake Padilla, Christina Delimitrou.

Journal Publications (Refereed and Archived)

  1. Unveiling the Hardware and Software Implications of Microservices in Cloud and Edge Systems
    IEEE Micro, 2020
    Yu Gan, Yanqi Zhang, Dailun Cheng, Ankitha Shetty, Priyal Rathi, Nayan Katarki, Ariana Bruno, Justin Hu, Brian Ritchken, Brendon Jackson, Kelvin Hu, Meghna Pancholi, Yuan He, Brett Clancy, Chris Colen, Fukang Wen, Catherine Leung, Siyuan Wang, Leon Zaruvinsky, Mateo Espinosa Zarlenga, Rick Lin, Zhongling Liu, Jake Padilla, Christina Delimitrou.