Fast Inversion of Length- and Angle-Preserving Matrices. - Kevin Wu (Graphics Gems, 1994)

Using transition test to understand timing behavior of logic circuits on UltraSPARCTM T2 family. - Liang-Chi Chen; Paul Dickinson; Peter Dahlgren; Scott Davidson 001; Olivier Caty; Kevin Wu (ITC, 2009)

Reliability study of LED driver - A case study of black box testing. - Song Lan; Cher Ming Tan; Kevin Wu (Microelectron. Reliab., 2012)

Methodology of reliability enhancement for high power LED driver. - Song Lan; Cher Ming Tan; Kevin Wu (Microelectron. Reliab., 2014)

Helium: lifting high-performance stencil kernels from stripped x86 binaries to halide DSL code. - Charith Mendis; Jeffrey Bosboom; Kevin Wu; Shoaib Kamil 001; Jonathan Ragan-Kelley; Sylvain Paris; Qin Zhao; Saman P. Amarasinghe (PLDI, 2015)

Cloud-Based Web Services for Endangered Language Analysis (Invited Paper). - Ashik Samad; Kevin Wu; Min Chen 009 (IRI, 2016)

Understanding the use of circumvention tools to bypass online censorship. - Yi Mou; Kevin Wu; David J. Atkin (New Media Soc., 2016)

Learning scene gist with convolutional neural networks to improve object recognition. - Kevin Wu; Eric Wu; Gabriel Kreiman (CISS, 2018)

Conditional Infilling GANs for Data Augmentation in Mammogram Classification. - Eric Wu; Kevin Wu; David D. Cox; William Lotter (RAMBO+BIA+TIA@MICCAI, 2018)

Detecting Spies in IoT Systems using Cyber-Physical Correlation. - Brent Lagesse; Kevin Wu; Jaynie Shorb; Zealous Zhu (PerCom Workshops, 2018)

Automated Hidden Sensor Detection in Sensor-Rich Spaces. - Brent Lagesse; Kevin Wu; Jaynie Shorb; Zealous Zhu (PerCom Workshops, 2018)

Mixed Membership Recurrent Neural Networks. - Ghazal Fazelnia; Mark Ibrahim; Ceena Modarres; Kevin Wu; John W. Paisley (CoRR, 2018)

Do You See What I See?Detecting Hidden Streaming Cameras Through Similarity of Simultaneous Observation. - Kevin Wu; Brent Lagesse (PerCom, 2019)

Validation of a deep learning mammography model in a population with low screening rates. - Kevin Wu; Eric Wu; Yaping Wu; Hongna Tan; Greg Sorensen; Meiyun Wang; Bill Lotter (CoRR, 2019)

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach. - 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; et al. (CoRR, 2019)

Mixed membership recurrent neural networks for modeling customer purchases. - Ghazal Fazelnia; Mark Ibrahim; Ceena Modarres; Kevin Wu; John W. Paisley (ICAIF, 2020)

Bilingual Multi-word Expressions, Multiple-correspondence, and their cultivation from parallel patents: The Chinese-English case. - Benjamin K. Tsou; Ka-Po Chow; John Lee 001; Ka-Fai Yip; Yaxuan Ji; Kevin Wu (PACLIC, 2020)

Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms. - Eric Wu; Kevin Wu; William Lotter (CoRR, 2020)

Detecting hidden webcams with delay-tolerant similarity of simultaneous observation. - Kevin Wu; Brent Lagesse (Pervasive Mob. Comput., 2020)

You Had to Be There: Private Video Sharing for Mobile Phones using Fully Homomorphic Encryption. - Brent Lagesse; Gabriel Nguyen; Utsav Goswami; Kevin Wu (PerCom Workshops, 2021)

Explaining medical AI performance disparities across sites with confounder Shapley value analysis. - Eric Wu; Kevin Wu; James Zou 001 (CoRR, 2021)

CONSchema: Schema Matching with Semantics and Constraints. - Kevin Wu; Jing Zhang; Joyce C. Ho (ADBIS (Short Papers), 2023)

BusStopCV: A Real-time AI Assistant for Labeling Bus Stop Accessibility Features in Streetscape Imagery. - Minchu Kulkarni; Chu Li; Jaye Jungmin Ahn; Katrina Oi Yau Ma; Zhihan Zhang 002; Michael Saugstad; Kevin Wu; Yochai Eisenberg; Valerie Novack; Brent C. Chamberlain; Jon E. Froehlich (ASSETS, 2023)

Collecting data when missingness is unknown: a method for improving model performance given under-reporting in patient populations. - Kevin Wu; Dominik Dahlem; Christopher Hane; Eran Halperin; James Zou 001 (CHIL, 2023)

Automation vs. Innovation: Unexplored Strategies to Improve Virtual Care. - Craig E. Kuziemsky; Helen Monkman; Juell Homco; Andrew Liew; Hannah Park; Kevin Wu; Blake J. Lesselroth (CSHI, 2023)

Strong Mixed-Integer Formulations for Transmission Expansion Planning with FACTS Devices. - Kevin Wu; Mathieu Tanneau; Pascal Van Hentenryck (CoRR, 2023)

Towards Fine-Grained Sidewalk Accessibility Assessment with Deep Learning: Initial Benchmarks and an Open Dataset. - Xinlei Liu; Kevin Wu; Minchu Kulkarni; Michael Saugstad; Peyton Anton Rapo; Jeremy Freiburger; Maryam Hosseini; Chu Li; Jon E. Froehlich (ASSETS, 2024)

Regulating AI Adaptation: An Analysis of AI Medical Device Updates. - Kevin Wu; Eric Wu; Kit T. Rodolfa; Daniel E. Ho; James Zou 001 (CHIL, 2024)

DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models. - Yongchan Kwon; Eric Wu; Kevin Wu; James Zou 001 (ICLR, 2024)

ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence. - Kevin Wu; Eric Wu; James Y. Zou (NeurIPS, 2024)

How well do LLMs cite relevant medical references? An evaluation framework and analyses. - Kevin Wu; Eric Wu; Ally Cassasola; Angela Zhang; Kevin Wei; Teresa Nguyen; Sith Riantawan; Patricia Shi Riantawan; Daniel E. Ho; James Zou 001 (CoRR, 2024)

How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior. - Kevin Wu; Eric Wu; James Zou 001 (CoRR, 2024)

FineTuneBench: How well do commercial fine-tuning APIs infuse knowledge into LLMs? - Eric Wu; Kevin Wu; James Zou 001 (CoRR, 2024)

High-Spatial Resolution Transmission and Storage Expansion Planning for High Renewable Grids: A Case Study. - Kevin Wu; Rabab Haider; Pascal Van Hentenryck (CoRR, 2024)

Identifying Students' Code Quality Defects while Contributing to Large Code Bases. - Anshul Shah; Thomas Rexin; Gonzalo Allen-Perez; Kevin Wu; William G. Griswold; Adalbert Gerald Soosai Raj (ITiCSE (1), 2025)

An Analysis of Students' Testing Processes in CS1. - Gonzalo Allen-Perez; Luis Millan; Brandon Nghiem; Kevin Wu; Anshul Shah; Adalbert Gerald Soosai Raj (SIGCSE (1), 2025)

AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration. - Andy Zhou; Kevin Wu; Francesco Pinto; Zhaorun Chen; Yi Zeng 005; Yu Yang 011; Shuang Yang; Sanmi Koyejo; James Zou; Bo Li 026 (CoRR, 2025)

Disentangling Reasoning and Knowledge in Medical Large Language Models. - Rahul Thapa; Qingyang Wu; Kevin Wu; Harrison Zhang; Angela Zhang; Eric Wu; Haotian Ye; Suhana Bedi; Nevin Aresh; Joseph Boen; Shriya Reddy; Ben Athiwaratkun; et al. (CoRR, 2025)

MedCaseReasoning: Evaluating and learning diagnostic reasoning from clinical case reports. - Kevin Wu; Eric Wu; Rahul Thapa; Kevin Wei; Angela Zhang; Arvind Suresh; Jacqueline J. Tao; Min Woo Sun; Alejandro Lozano; James Zou 001 (CoRR, 2025)

Can Large Language Models Match the Conclusions of Systematic Reviews? - Christopher Polzak; Alejandro Lozano; Min Woo Sun; James Burgess; Yuhui Zhang; Kevin Wu; Serena Yeung-Levy (CoRR, 2025)

FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models. - Likun Tan; Kuan-Wei Huang; Kevin Wu (CoRR, 2025)