An Analysis of Write-in Marks on Optical Scan Ballots. - Theron Ji; Eric Kim; Raji Srikantan; Alan Tsai; Arel Cordero; David A. Wagner 001 (EVT/WOTE, 2011)

Work in progress: Outreach assessment: Measuring engagement: An integrated approach for learning. - Lizabeth Schlemer; John Y. Oliver; Katherine C. Chen; Sofia Rodriguez Mata; Eric Kim (FIE, 2012)

Sudden noise source localization system for intelligent automobile application with acoustic sensors. - Suwon Shon; Eric Kim; Jongsung Yoon; Hanseok Ko (ICCE, 2012)

Operator-Assisted Tabulation of Optical Scan Ballots. - Kai Wang 059; Nicholas Carlini; Eric Kim; Ivan Motyashov; Daniel Nguyen; David A. Wagner 001 (EVT/WOTE, 2012)

Memoryless Control Design for Persistent Surveillance under Safety Constraints - Eduardo Arvelo; Eric Kim; Nuno C. Martins (CoRR, 2012)

Maximal persistent surveillance under safety constraints. - Eduardo Arvelo; Eric Kim; Nuno C. Martins (ICRA, 2013)

Improved Support for Machine-assisted Ballot-level Audits. - Eric Kim; Nicholas Carlini; Andrew Chang; George Yiu; Kai Wang 059; David A. Wagner 001 (EVT/WOTE, 2013)

A Part-Based, Multiresolution, TensorFaces Approach to Image-Based Facial Verification. - Eric Kim (2016)

Breast Density Classification with Deep Convolutional Neural Networks. - Nan Wu; Krzysztof J. Geras; Yiqiu Shen; Jingyi Su; Sungheon Gene Kim; Eric Kim; Stacey Wolfson; Linda Moy; Kyunghyun Cho (ICASSP, 2018)

Structure and variability in human tongue muscle anatomy. - Maureen L. Stone; Jonghye Woo; Junghoon Lee; Tera Poole; Amy Seagraves; Michael Chung; Eric Kim; Emi Z. Murano; Jerry L. Prince; Silvia S. Blemker (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Complete the Look: Scene-Based Complementary Product Recommendation. - Wang-Cheng Kang; Eric Kim; Jure Leskovec; Charles Rosenberg 001; Julian J. McAuley (CVPR, 2019)

Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors. - M. Alex O. Vasilescu; Eric Kim (CoRR, 2019)

Is That What I Think It Is? Impact of Screen Size on User Ability to Identify Human Activities. - Ronnie Bush; Sheiloh Carlos; Earl Dean; Eric Kim; Amy Miranda; Rob Semmens; Lawrence G. Shattuck; John Dillard; Alejandro Hernandez (AHFE (17), 2020)

CausalX: Causal eXplanations and Block Multilinear Factor Analysis. - M. Alex O. Vasilescu; Eric Kim; Xiao S. Zeng (ICPR, 2020)

Bootstrapping Complete The Look at Pinterest. - Eileen Li; Eric Kim; Andrew Zhai; Josh Beal; Kunlong Gu (KDD, 2020)

Shop The Look: Building a Large Scale Visual Shopping System at Pinterest. - Raymond Shiau; Hao-Yu Wu; Eric Kim; Yue Li Du; Anqi Guo; Zhiyuan Zhang; Eileen Li; Kunlong Gu; Charles Rosenberg 001; Andrew Zhai (KDD, 2020)

Differences between human and machine perception in medical diagnosis. - Taro Makino; Stanislaw Jastrzebski; Witold Oleszkiewicz; Celin Chacko; Robin Ehrenpreis; Naziya Samreen; Chloe Chhor; Eric Kim; Jiyon Lee; Kristine Pysarenko; Beatriu Reig; Hildegard Toth; et al. (CoRR, 2020)

Toward Transformer-Based Object Detection. - Josh Beal; Eric Kim; Eric Tzeng; Dong Huk Park; Andrew Zhai; Dmitry Kislyuk (CoRR, 2020)

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. - Nan Wu; Jason Phang; Jungkyu Park 001; Yiqiu Shen; Zhe Huang 005; Masha Zorin; Stanislaw Jastrzebski; Thibault Févry; Joe Katsnelson; Eric Kim; Stacey Wolfson; Ujas Parikh; et al. (IEEE Trans. Medical Imaging, 2020)

Multidisciplinary Sprint Program Achieved Specialty-Specific EHR Optimization in 20 Clinics. - Amber Sieja; Eric Kim; Heather L. Holmstrom; Stephen Rotholz; Chen-Tan Lin; Christine Gonzalez; Cortney Arellano; Sarah Hutchings; Denise Henderson; Katie Markley (Appl. Clin. Inform., 2021)

Lessons from the first DBTex Challenge. - Jungkyu Park 001; Yoel Shoshan; Robert Martí; Pablo Gómez del Campo; Vadim Ratner; Daniel Khapun; Aviad Zlotnick; Ella Barkan; Flora Gilboa-Solomon; Jakub Chledowski; Jan Witowski; Alexandra Millet; et al. (Nat. Mach. Intell., 2021)

3D-GMIC: an efficient deep neural network to find small objects in large 3D images. - Jungkyu Park 001; Jakub Chledowski; Stanislaw Jastrzebski; Jan Witowski; Yanqi Xu; Linda Du; Sushma Gaddam; Eric Kim; Alana Lewin; Ujas Parikh; Anastasia Plaunova; Sardius Chen; et al. (CoRR, 2022)

MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. - Saket Gurukar; Nikil Pancha; Andrew Zhai; Eric Kim; Samson Hu; Srinivasan Parthasarathy 001; Charles Rosenberg 001; Jure Leskovec (Proc. VLDB Endow., 2022)

Closer Look at Efficient Inference Methods: A Survey of Speculative Decoding. - Hyun Ryu; Eric Kim (CoRR, 2024)

An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects. - Jungkyu Park 001; Jakub Chledowski; Stanislaw Jastrzebski; Jan Witowski; Yanqi Xu; Linda Du; Sushma Gaddam; Eric Kim; Alana Lewin; Ujas Parikh; Anastasia Plaunova; Sardius Chen; et al. (IEEE Trans. Medical Imaging, 2024)

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset. - Ebrahim Farahmand; Reza Rahimi Azghan; Nooshin Taheri-Chatrudi; Eric Kim; Gautham Krishna Gudur; Edison Thomaz; Giulia Pedrielli; Pavan K. Turaga; Hassan Ghasemzadeh 001 (CoRR, 2025)

Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications Globally. - Agam Shah; Siddhant Sukhani; Huzaifa Pardawala; Saketh Budideti; Riya Bhadani; Rudra Gopal; Siddhartha Somani; Michael Galarnyk; Soungmin Lee; Arnav Hiray; Akshar Ravichandran; Eric Kim; et al. (CoRR, 2025)