Kevin Wu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 29

Top Topics

Mixed Membership

Homomorphic Encryption

Top Venues

PerCom Workshops

Publications

Kevin Wu, Eric Wu, Kit T. Rodolfa, Daniel E. Ho, James Zou
Regulating AI Adaptation: An Analysis of AI Medical Device Updates. CoRR (2024)
Kevin Wu, Eric Wu, Ally Cassasola, Angela Zhang, Kevin Wei, Teresa Nguyen, Sith Riantawan, Patricia Shi Riantawan, Daniel E. Ho, James Zou
How well do LLMs cite relevant medical references? An evaluation framework and analyses. CoRR (2024)
Yongchan Kwon, Eric Wu, Kevin Wu, James Zou
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models. ICLR (2024)
Kevin Wu, Eric Wu, James Zou
How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior. CoRR (2024)
Minchu Kulkarni, Chu Li, Jaye Jungmin Ahn, Katrina Oi Yau Ma, Zhihan Zhang, Michael Saugstad, Kevin Wu, Yochai Eisenberg, Valerie Novack, Brent Chamberlain, Jon E. Froehlich
BusStopCV: A Real-time AI Assistant for Labeling Bus Stop Accessibility Features in Streetscape Imagery. ASSETS (2023)
Craig E. Kuziemsky, Helen Monkman, Juell Homco, Andrew Liew, Hannah Park, Kevin Wu, Blake J. Lesselroth
Automation vs. Innovation: Unexplored Strategies to Improve Virtual Care. CSHI (2023)
Kevin Wu, Mathieu Tanneau, Pascal Van Hentenryck
Strong Mixed-Integer Formulations for Transmission Expansion Planning with FACTS Devices. CoRR (2023)
Yongchan Kwon, Eric Wu, Kevin Wu, James Zou
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models. CoRR (2023)
Kevin Wu, Dominik Dahlem, Christopher Hane, Eran Halperin, James Zou
Collecting data when missingness is unknown: a method for improving model performance given under-reporting in patient populations. CHIL (2023)
Kevin Wu, Jing Zhang, Joyce C. Ho
CONSchema: Schema Matching with Semantics and Constraints. ADBIS (Short Papers) (2023)
Brent Lagesse, Gabriel Nguyen, Utsav Goswami, Kevin Wu
You Had to Be There: Private Video Sharing for Mobile Phones using Fully Homomorphic Encryption. PerCom Workshops (2021)
Eric Wu, Kevin Wu, James Zou
Explaining medical AI performance disparities across sites with confounder Shapley value analysis. CoRR (2021)
Eric Wu, Kevin Wu, William Lotter
Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms. CoRR (2020)
Benjamin K. Tsou, Ka-Po Chow, John Lee, Ka-Fai Yip, Yaxuan Ji, Kevin Wu
Bilingual Multi-word Expressions, Multiple-correspondence, and their cultivation from parallel patents: The Chinese-English case. PACLIC (2020)
Kevin Wu, Brent Lagesse
Detecting hidden webcams with delay-tolerant similarity of simultaneous observation. Pervasive Mob. Comput. 65 (2020)
Ghazal Fazelnia, Mark Ibrahim, Ceena Modarres, Kevin Wu, John W. Paisley
Mixed membership recurrent neural networks for modeling customer purchases. ICAIF (2020)
Kevin Wu, Brent Lagesse
Do You See What I See?Detecting Hidden Streaming Cameras Through Similarity of Simultaneous Observation. PerCom (2019)
William Lotter, Abdul Rahman Diab, Bryan Haslam, Jiye G. Kim, Giorgia Grisot, Eric Wu, Kevin Wu, Jorge Onieva Onieva, Jerrold L. Boxerman, Meiyun Wang, Mack Bandler, Gopal Vijayaraghavan, A. Gregory Sorensen
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach. CoRR (2019)
Kevin Wu, Brent Lagesse
Do You See What I See? Detecting Hidden Streaming Cameras Through Similarity of Simultaneous Observation. CoRR (2019)
Kevin Wu, Eric Wu, Yaping Wu, Hongna Tan, Greg Sorensen, Meiyun Wang, Bill Lotter
Validation of a deep learning mammography model in a population with low screening rates. CoRR (2019)
Eric Wu, Kevin Wu, David D. Cox, William Lotter
Conditional Infilling GANs for Data Augmentation in Mammogram Classification. RAMBO+BIA+TIA@MICCAI (2018)
Kevin Wu, Eric Wu, Gabriel Kreiman
Learning Scene Gist with Convolutional Neural Networks to Improve Object Recognition. CoRR (2018)
Brent Lagesse, Kevin Wu, Jaynie Shorb, Zealous Zhu
Automated Hidden Sensor Detection in Sensor-Rich Spaces. PerCom Workshops (2018)
Kevin Wu, Eric Wu, Gabriel Kreiman
Learning scene gist with convolutional neural networks to improve object recognition. CISS (2018)
Ghazal Fazelnia, Mark Ibrahim, Ceena Modarres, Kevin Wu, John W. Paisley
Mixed Membership Recurrent Neural Networks. CoRR (2018)
Eric Wu, Kevin Wu, David D. Cox, William Lotter
Conditional Infilling GANs for Data Augmentation in Mammogram Classification. CoRR (2018)
Brent Lagesse, Kevin Wu, Jaynie Shorb, Zealous Zhu
Detecting Spies in IoT Systems using Cyber-Physical Correlation. PerCom Workshops (2018)
Ashik Samad, Kevin Wu, Min Chen
Cloud-Based Web Services for Endangered Language Analysis (Invited Paper). IRI (2016)
Yi Mou, Kevin Wu, David J. Atkin
Understanding the use of circumvention tools to bypass online censorship. New Media Soc. 18 (5) (2016)
Charith Mendis, Jeffrey Bosboom, Kevin Wu, Shoaib Kamil, Jonathan Ragan-Kelley, Sylvain Paris, Qin Zhao, Saman P. Amarasinghe
Helium: lifting high-performance stencil kernels from stripped x86 binaries to halide DSL code. PLDI (2015)
Song Lan, Cher Ming Tan, Kevin Wu
Methodology of reliability enhancement for high power LED driver. Microelectron. Reliab. 54 (6-7) (2014)
Song Lan, Cher Ming Tan, Kevin Wu
Reliability study of LED driver - A case study of black box testing. Microelectron. Reliab. 52 (9-10) (2012)
Liang-Chi Chen, Paul Dickinson, Peter Dahlgren, Scott Davidson, Olivier Caty, Kevin Wu
T2 family. ITC (2009)