Using Logistic Regression to Analyze the Balance of a Game: The Case of StarCraft II - Hyokun Yun (CoRR, 2011)

How to filter out random clickers in a crowdsourcing-based study? - Sung-Hee Kim; Hyokun Yun; Ji Soo Yi (BELIV, 2012)

Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process - Hyokun Yun; S. V. N. Vishwanathan (CoRR, 2012)

Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs. - Hyokun Yun; S. V. N. Vishwanathan (AISTATS, 2012)

NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion. - Hyokun Yun; Hsiang-Fu Yu; Cho-Jui Hsieh; S. V. N. Vishwanathan; Inderjit S. Dhillon (CoRR, 2013)

Ranking via Robust Binary Classification. - Hyokun Yun; Parameswaran Raman; S. V. N. Vishwanathan (NIPS, 2014)

Distributed Stochastic Optimization of the Regularized Risk. - Shin Matsushima; Hyokun Yun; S. V. N. Vishwanathan (CoRR, 2014)

Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data. - Hyokun Yun; Parameswaran Raman; S. V. N. Vishwanathan (CoRR, 2014)

NOMAD: Nonlocking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion. - Hyokun Yun; Hsiang-Fu Yu; Cho-Jui Hsieh; S. V. N. Vishwanathan; Inderjit S. Dhillon (Proc. VLDB Endow., 2014)

A Scalable Asynchronous Distributed Algorithm for Topic Modeling. - Hsiang-Fu Yu; Cho-Jui Hsieh; Hyokun Yun; S. V. N. Vishwanathan; Inderjit S. Dhillon (WWW, 2015)

WordRank: Learning Word Embeddings via Robust Ranking. - Shihao Ji 001; Hyokun Yun; Pinar Yanardag; Shin Matsushima; S. V. N. Vishwanathan (EMNLP, 2016)

Nomadic Computing for Big Data Analytics. - Hsiang-Fu Yu; Cho-Jui Hsieh; Hyokun Yun; S. V. N. Vishwanathan; Inderjit S. Dhillon (Computer, 2016)

DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression. - Parameswaran Raman; Shin Matsushima; Xinhua Zhang; Hyokun Yun; S. V. N. Vishwanathan (CoRR, 2016)

Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem. - Shin Matsushima; Hyokun Yun; Xinhua Zhang; S. V. N. Vishwanathan (ECML/PKDD (1), 2017)

Deep Active Learning for Named Entity Recognition. - Yanyao Shen; Hyokun Yun; Zachary Chase Lipton; Yakov Kronrod; Animashree Anandkumar (Rep4NLP@ACL, 2017)

Robustness to Capitalization Errors in Named Entity Recognition. - Sravan Babu Bodapati; Hyokun Yun; Yaser Al-Onaizan (W-NUT@EMNLP, 2019)

Scaling Multinomial Logistic Regression via Hybrid Parallelism. - Parameswaran Raman; Sriram Srinivasan 004; Shin Matsushima; Xinhua Zhang; Hyokun Yun; S. V. N. Vishwanathan (KDD, 2019)

Tiering as a Stochastic Submodular Optimization Problem. - Hyokun Yun; Michael Froh; Roshan Makhijani; Brian Luc; Alex Smola; Trishul Chilimbi (CoRR, 2020)

A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone. - Aigerim Bogyrbayeva; Taehyun Yoon; Hanbum Ko; Sungbin Lim; Hyokun Yun; Changhyun Kwon 001 (CoRR, 2021)

MICO: Selective Search with Mutual Information Co-training. - Zhanyu Wang; Xiao Zhang; Hyokun Yun; Choon Hui Teo; Trishul Chilimbi (COLING, 2022)

Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs. - Taehyun Yoon; Jinwon Choi; Hyokun Yun; Sungbin Lim (CoRR, 2023)

Evolutionary Contrastive Distillation for Language Model Alignment. - Julian Katz-Samuels; Zheng Li 018; Hyokun Yun; Priyanka Nigam; Yi Xu 011; Vaclav Petricek; Bing Yin; Trishul Chilimbi (EMNLP (Findings), 2024)

Robust Multi-Task Learning with Excess Risks. - Yifei He; Shiji Zhou; Guojun Zhang; Hyokun Yun; Yi Xu 011; Belinda Zeng; Trishul Chilimbi; Han Zhao 002 (ICML, 2024)

Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment. - Qizhang Feng; Siva Rajesh Kasa; Hyokun Yun; Choon Hui Teo; Sravan Babu Bodapati (CoRR, 2024)

AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs. - Nicholas E. Corrado; Julian Katz-Samuels; Adithya M. Devraj; Hyokun Yun; Chao Zhang; Yi Xu 011; Yi Pan; Bing Yin; Trishul Chilimbi (ACL (1), 2025)

Aligning Large Language Models with Implicit Preferences from User-Generated Content. - Zhaoxuan Tan; Zheng Li 018; Tianyi Liu; Haodong Wang; Hyokun Yun; Ming Zeng 001; Pei Chen; Zhihan Zhang 001; Yifan Gao 001; Ruijie Wang 004; Priyanka Nigam; Bing Yin; et al. (ACL (1), 2025)

Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment. - Qizhang Feng; Siva Rajesh Kasa; Santhosh Kumar Kasa; Hyokun Yun; Choon Hui Teo; Sravan Babu Bodapati (AISTATS, 2025)

RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users. - Suyu Ye; Haojun Shi; Darren Shih; Hyokun Yun; Tanya Roosta; Tianmin Shu (CoRR, 2025)

WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning. - Zhepei Wei; Wenlin Yao; Yao Liu; Weizhi Zhang; Qin Lu; Liang Qiu; Changlong Yu; Puyang Xu; Chao Zhang; Bing Yin; Hyokun Yun; Lihong Li (CoRR, 2025)