Yoon, Jinsung

42 publications

ICLR 2025 BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Liu Haisu, Quan Shi, Zachary S Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan O Arik, Danqi Chen, Tao Yu

NeurIPS 2025 Hybrid Latent Reasoning via Reinforcement Learning Zhenrui Yue, Bowen Jin, Huimin Zeng, Honglei Zhuang, Zhen Qin, Jinsung Yoon, Lanyu Shang, Jiawei Han, Dong Wang

ICML 2025 LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan O Arik

TMLR 2025 LLM-Guided Self-Supervised Tabular Learning with Task-Specific Pre-Text Tasks Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan O Arik, Jinsung Yoon

ICLR 2025 Learn-by-Interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan O Arik

ICLR 2025 Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan O Arik

NeurIPS 2025 MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Jinwoo Shin, Sercan O Arik, Tomas Pfister

ICML 2025 Retrieval Augmented Time Series Forecasting Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan O Arik, Jinsung Yoon

TMLR 2025 SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling Jiefeng Chen, Jie Ren, Xinyun Chen, Chengrun Yang, Ruoxi Sun, Jinsung Yoon, Sercan O Arik

ECML-PKDD 2025 Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble Han-Jun Choi, Hyunsung Kim, Minho Lee, Minchul Jeong, Changjo Kim, Jinsung Yoon, Sang-Ki Ko

TMLR 2024 ASPEST: Bridging the Gap Between Active Learning and Selective Prediction Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan O Arik, Somesh Jha, Tomas Pfister

ICML 2024 Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning Sungwon Han, Jinsung Yoon, Sercan O Arik, Tomas Pfister

TMLR 2024 Provable Membership Inference Privacy Zachary Izzo, Jinsung Yoon, Sercan O Arik, James Zou

WACV 2023 Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister

TMLR 2023 Interpretable Mixture of Experts Aya Abdelsalam Ismail, Sercan O Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister

TMLR 2023 Invariant Structure Learning for Better Generalization and Causal Explainability Yunhao Ge, Sercan O Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister

CHIL 2023 Rediscovery of CNN’s Versatility for Text-Based Encoding of Raw Electronic Health Records Eunbyeol Cho, Minjae Lee, Kyunghoon Hur, Jiyoun Kim, Jinsung Yoon, Edward Choi

TMLR 2023 SPADE: Semi-Supervised Anomaly Detection Under Distribution Mismatch Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O Arik, Tomas Pfister

TMLR 2022 LIMIS: Locally Interpretable Modeling Using Instance-Wise Subsampling Jinsung Yoon, Sercan O Arik, Tomas Pfister

NeurIPSW 2022 Provable Membership Inference Privacy Zachary Izzo, Jinsung Yoon, Sercan O Arik, James Zou

TMLR 2022 Self-Supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O Arik, Chen-Yu Lee, Tomas Pfister

ICMLW 2022 Towards Group Robustness in the Presence of Partial Group Labels Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister

ICLR 2021 Clairvoyance: A Pipeline Toolkit for Medical Time Series Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar

NeurIPS 2021 Controlling Neural Networks with Rule Representations Sungyong Seo, Sercan Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister

CVPR 2021 CutPaste: Self-Supervised Learning for Anomaly Detection and Localization Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister

ICLR 2021 Learning and Evaluating Representations for Deep One-Class Classification Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister

ICML 2020 Data Valuation Using Reinforcement Learning Jinsung Yoon, Sercan Arik, Tomas Pfister

NeurIPS 2020 Interpretable Sequence Learning for Covid-19 Forecasting Sercan Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long Le, Vikas Menon, Shashank Singh, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister

NeurIPS 2020 VIME: Extending the Success of Self- and Semi-Supervised Learning to Tabular Domain Jinsung Yoon, Yao Zhang, James Jordon, Mihaela van der Schaar

MLHC 2019 ASAC: Active Sensing Using Actor-Critic Models Jinsung Yoon, James Jordon, Mihaela Schaar

NeurIPS 2019 Differentially Private Bagging: Improved Utility and Cheaper Privacy than Subsample-and-Aggregate James Jordon, Jinsung Yoon, Mihaela van der Schaar

ICLR 2019 INVASE: Instance-Wise Variable Selection Using Neural Networks Jinsung Yoon, James Jordon, Mihaela van der Schaar

ICLR 2019 KnockoffGAN: Generating Knockoffs for Feature Selection Using Generative Adversarial Networks James Jordon, Jinsung Yoon, Mihaela van der Schaar

ICLR 2019 PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees James Jordon, Jinsung Yoon, Mihaela van der Schaar

NeurIPS 2019 Time-Series Generative Adversarial Networks Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar

ICLR 2018 Deep Sensing: Active Sensing Using Multi-Directional Recurrent Neural Networks Jinsung Yoon, William R. Zame, Mihaela van der Schaar

AAAI 2018 DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks Changhee Lee, William R. Zame, Jinsung Yoon, Mihaela van der Schaar

ICML 2018 GAIN: Missing Data Imputation Using Generative Adversarial Nets Jinsung Yoon, James Jordon, Mihaela Schaar

ICLR 2018 GANITE: Estimation of Individualized Treatment Effects Using Generative Adversarial Nets Jinsung Yoon, James Jordon, Mihaela van der Schaar

ICML 2018 RadialGAN: Leveraging Multiple Datasets to Improve Target-Specific Predictive Models Using Generative Adversarial Networks Jinsung Yoon, James Jordon, Mihaela Schaar

AAAI 2017 Personalized Donor-Recipient Matching for Organ Transplantation Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar

ICML 2016 ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission Jinsung Yoon, Ahmed Alaa, Scott Hu, Mihaela Schaar