System level analysis of fast, per-core DVFS using on-chip switching regulators. - Wonyoung Kim; Meeta Sharma Gupta; Gu-Yeon Wei; David M. Brooks (HPCA, 2008)

A method for opinion mining of product reviews using association rules. - Wonyoung Kim; Joonsuk Ryu; Kyu Il Kim; Ung-Mo Kim (ICIS, 2009)

Mining association rules in tree structured XML data. - Juryon Paik; Junghyun Nam; Wonyoung Kim; Joonsuk Ryu; Ung-Mo Kim (ICIS, 2009)

Mining opinions from messenger. - Joonsuk Ryu; Wonyoung Kim; Kyu Il Kim; Ung-Mo Kim (ICIS, 2009)

Mining Reputation of Person/Product from Comment and Reply on UCC/Internet Article. - Joonsuk Ryu; Wonyoung Kim; Jaeho Jeong; Ungmo Kim (ICIC (1), 2010)

RBAC-based access control for privacy preserving in semantic web. - Kyu Il Kim; Wonyoung Kim; Joonsuk Ryu; Hyuk Jin Ko; Ung-Mo Kim; Woo Jun Kang (ICUIMC, 2010)

Voltage Smoothing: Characterizing and Mitigating Voltage Noise in Production Processors via Software-Guided Thread Scheduling. - Vijay Janapa Reddi; Svilen Kanev; Wonyoung Kim; Simone Campanoni; Michael D. Smith 001; Gu-Yeon Wei; David M. Brooks (MICRO, 2010)

Mining Frequent Itemsets with Normalized Weight in Continuous Data Streams. - Younghee Kim; Wonyoung Kim; Ungmo Kim (J. Inf. Process. Syst., 2010)

A fully-integrated 3-level DC/DC converter for nanosecond-scale DVS with fast shunt regulation. - Wonyoung Kim; David M. Brooks; Gu-Yeon Wei (ISSCC, 2011)

Voltage Noise in Production Processors. - Vijay Janapa Reddi; Svilen Kanev; Wonyoung Kim; Simone Campanoni; Michael D. Smith 001; Gu-Yeon Wei; David M. Brooks (IEEE Micro, 2011)

A Fully-Integrated 3-Level DC-DC Converter for Nanosecond-Scale DVFS. - Wonyoung Kim; David M. Brooks; Gu-Yeon Wei (IEEE J. Solid State Circuits, 2012)

A fully integrated battery-connected switched-capacitor 4: 1 voltage regulator with 70% peak efficiency using bottom-plate charge recycling. - Tao Tong; Xuan Zhang 001; Wonyoung Kim; David M. Brooks; Gu-Yeon Wei (CICC, 2013)

An analytic formulation for positive-unlabeled learning via weighted integral probability metric. - Yongchan Kwon; Wonyoung Kim; Masashi Sugiyama; Myunghee Cho Paik (CoRR, 2019)

Principled learning method for Wasserstein distributionally robust optimization with local perturbations. - Yongchan Kwon; Wonyoung Kim; Joong-Ho Won; Myunghee Cho Paik (ICML, 2020)

Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric. - Yongchan Kwon; Wonyoung Kim; Masashi Sugiyama; Myunghee Cho Paik (Mach. Learn., 2020)

Industry's First 7.2 Gbps 512GB DDR5 Module. - Sung Joo Park; Jonghoon J. Kim; Kun Joo; Young-Ho Lee; Kyoungsun Kim; Young-Tae Kim; Woo-Jin Na; IkJoon Choi; Hye-Seung Yu; Wonyoung Kim; Ju-Yeon Jung; Jaejun Lee; et al. (HCS, 2021)

Doubly Robust Thompson Sampling with Linear Payoffs. - Wonyoung Kim; Gi-Soo Kim; Myunghee Cho Paik (NeurIPS, 2021)

Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits. - Wonyoung Kim; Kyungbok Lee; Myunghee Cho Paik (AAAI, 2023)

Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits. - Wonyoung Kim; Myunghee Cho Paik; Min-hwan Oh (AISTATS, 2023)

Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback. - Wonyoung Kim; Garud Iyengar; Assaf Zeevi (ICML, 2023)

Pareto Front Identification with Regret Minimization. - Wonyoung Kim; Garud Iyengar; Assaf Zeevi (CoRR, 2023)

A Doubly Robust Approach to Sparse Reinforcement Learning. - Wonyoung Kim; Garud Iyengar; Assaf Zeevi (AISTATS, 2024)

Learning the Pareto Front Using Bootstrapped Observation Samples. - Wonyoung Kim; Garud Iyengar; Assaf Zeevi (AISTATS, 2025)

Linear Bandits with Partially Observable Features. - Wonyoung Kim; Sungwoo Park; Garud Iyengar; Assaf Zeevi; Min-hwan Oh (CoRR, 2025)

Adaptive Data Augmentation for Thompson Sampling. - Wonyoung Kim (CoRR, 2025)