Jinsung Yoon - RankMe

144 papers A* 25A 2C 1Journal 94Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	AcouLetter: Enabling Fine-Grained Mid-Air Alphabetic Thumb Gesture Recognition on Smartphones with Acoustic and Inertial Sensing. IUI Su Yeon Shim, Younho Nam, Jinsung Yoon, Wooyeol Jeong, Young-Joo Suh
2026	J	`jnl`	MARS: Modular Agent with Reflective Search for Automated AI Research. CoRR Jiefeng Chen, Bhavana Dalvi Mishra, Jaehyun Nam, Rui Meng, Tomas Pfister, Jinsung Yoon
2026	J	`jnl`	PaperBanana: Automating Academic Illustration for AI Scientists. CoRR Dawei Zhu, Rui Meng, Yale Song, Xiyu Wei, Sujian Li, Tomas Pfister, Jinsung Yoon
2026	J	`jnl`	PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories. CoRR Hyunsung Kim, Kunhee Lee, Sangwoo Seo, Sang-Ki Ko, Jinsung Yoon, Chanyoung Park
2026	J	`jnl`	Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering. CoRR Jongha Kim, Byungoh Ko, Jeehye Na, Jinsung Yoon, Hyunwoo J. Kim
2026	J	`jnl`	ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review. CoRR Palash Goyal, Mihir Parmar, Yiwen Song, Hamid Palangi, Tomas Pfister, Jinsung Yoon
2026	J	`jnl`	Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models. Trans. Mach. Learn. Res. Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar, Yiwen Song, Long T. Le, Lesly Miculicich, Jinsung Yoon, Rui Zhang, Hamid Palangi, Tomas Pfister
2026	A*	`conf`	TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing. AAAI Jongha Kim, Minseong Bae, Sanghyeok Lee, Jinsung Yoon, Hyunwoo J. Kim
2025	J	`jnl`	ATLAS: Constraints-Aware Multi-Agent Collaboration for Real-World Travel Planning. CoRR Jihye Choi, Jinsung Yoon, Jiefeng Chen, Somesh Jha, Tomas Pfister
2025	J	`jnl`	An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents. CoRR Bowen Jin, Jinsung Yoon, Priyanka Kargupta, Sercan Ö. Arik, Jiawei Han
2025	A*	`conf`	BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval. ICLR Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik, Danqi Chen, Tao Yu
2025	J	`jnl`	Better Prevent than Tackle: Valuing Defense in Soccer Based on Graph Neural Networks. CoRR Hyunsung Kim, Sangwoo Seo, Hoyoung Choi, Tom Boomstra, Jinsung Yoon, Chanyoung Park
2025	J	`jnl`	CoDA: Agentic Systems for Collaborative Data Visualization. CoRR Zichen Chen, Jiefeng Chen, Sercan Ö. Arik, Misha Sra, Tomas Pfister, Jinsung Yoon
2025	J	`jnl`	DS-STAR: Data Science Agent via Iterative Planning and Verification. CoRR Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Tomas Pfister
2025	—	`conf`	Debiasing Online Preference Learning via Preference Feature Preservation. ACL (Findings) Dongyoung Kim, Jinsung Yoon, Jinwoo Shin, Jaehyung Kim
2025	J	`jnl`	Debiasing Online Preference Learning via Preference Feature Preservation. CoRR Dongyoung Kim, Jinsung Yoon, Jinwoo Shin, Jaehyung Kim
2025	J	`jnl`	DocLens : A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding. CoRR Dawei Zhu, Rui Meng, Jiefeng Chen, Sujian Li, Tomas Pfister, Jinsung Yoon
2025	J	`jnl`	ELASTIC: Event-Tracking Data Synchronization in Soccer Without Annotated Event Locations. CoRR Hyunsung Kim, Hoyoung Choi, Sangwoo Seo, Tom Boomstra, Jinsung Yoon, Chanyoung Park
2025	—	`conf`	Embedding-Converter: A Unified Framework for Cross-Model Embedding Transformation. ACL (1) Jinsung Yoon, Sercan Ö. Arik
2025	J	`jnl`	Hybrid Latent Reasoning via Reinforcement Learning. CoRR Zhenrui Yue, Bowen Jin, Huimin Zeng, Honglei Zhuang, Zhen Qin, Jinsung Yoon, Lanyu Shang, Jiawei Han, Dong Wang
2025	A*	`conf`	LLM Alignment as Retriever Optimization: An Information Retrieval Perspective. ICML Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan Ö. Arik
2025	J	`jnl`	LLM Alignment as Retriever Optimization: An Information Retrieval Perspective. CoRR Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan Ö. Arik
2025	J	`jnl`	LLM-Guided Self-Supervised Tabular Learning With Task-Specific Pre-text Tasks. Trans. Mach. Learn. Res. Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan Ö. Arik, Jinsung Yoon
2025	J	`jnl`	LLM-based Multi-Agent Blackboard System for Information Discovery in Data Science. CoRR Alireza Salemi, Mihir Parmar, Palash Goyal, Yiwen Song, Jinsung Yoon, Hamed Zamani, Hamid Palangi, Tomas Pfister
2025	A*	`conf`	Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments. ICLR Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan Ö. Arik
2025	J	`jnl`	Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments. CoRR Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan Ö. Arik
2025	A*	`conf`	Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG. ICLR Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan Ö. Arik
2025	J	`jnl`	MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement. CoRR Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Jinwoo Shin, Sercan Ö. Arik, Tomas Pfister
2025	C	`conf`	Maestro-EVC: Controllable Emotional Voice Conversion Guided by References and Explicit Prosody. ASRU Jinsung Yoon, Wooyeol Jeong, Jio Gim, Young-Joo Suh
2025	J	`jnl`	Maestro-EVC: Controllable Emotional Voice Conversion Guided by References and Explicit Prosody. CoRR Jinsung Yoon, Wooyeol Jeong, Jio Gim, Young-Joo Suh
2025	J	`jnl`	One-Topic-Doesn't-Fit-All: Transcreating Reading Comprehension Test for Personalized Learning. CoRR Jieun Han, Daniel Lee, Haneul Yoo, Jinsung Yoon, Junyeong Park, Suin Kim, So-Yeon Ahn, Alice Oh
2025	—	`conf`	QR-VC: Leveraging Quantization Residuals for Linear Disentanglement in Zero-Shot Voice Conversion. EUSIPCO Youngjun Sim, Jinsung Yoon, Wooyeol Jeong, Young-Joo Suh
2025	A*	`conf`	Retrieval Augmented Time Series Forecasting. ICML Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan Ö. Arik, Jinsung Yoon
2025	J	`jnl`	Retrieval Augmented Time Series Forecasting. CoRR Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan Ö. Arik, Jinsung Yoon
2025	J	`jnl`	SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling. Trans. Mach. Learn. Res. Jiefeng Chen, Jie Ren, Xinyun Chen, Chengrun Yang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik
2025	—	`conf`	SQUARE: Unsupervised Retrieval Adaptation via Synthetic Data. EMNLP (Findings) Jinsung Yoon, Junhao Zeng, Sercan Ö. Arik
2025	J	`jnl`	Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models. CoRR Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar, Yiwen Song, Long T. Le, Lesly Miculicich, Jinsung Yoon, Rui Zhang, Hamid Palangi, Tomas Pfister
2025	J	`jnl`	TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture. CoRR Yongchao Chen, Jiefeng Chen, Rui Meng, Ji Yin, Na Li, Chuchu Fan, Chi Wang, Tomas Pfister, Jinsung Yoon
2025	J	`jnl`	TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing. CoRR Jongha Kim, Minseong Bae, Sanghyeok Lee, Jinsung Yoon, Hyunwoo J. Kim
2025	—	`conf`	Trajectory Imputation in Multi-agent Sports with Derivative-Accumulating Self-ensemble. ECML/PKDD (10) Han-Jun Choi, Hyunsung Kim, Minho Lee, Minchul Jeong, Changjo Kim, Jinsung Yoon, Sang-Ki Ko
2024	J	`jnl`	A compact RTK-GNSS device for high-precision localization of outdoor mobile robots. J. Field Robotics Sung-Jin Lee, Bit Kim, Dongwook Yang, Junseo Kim, Tom Parkinson, Johsan Billingham, Chulwoo Park, Jinsung Yoon, Dae-Young Lee
2024	J	`jnl`	ASPEST: Bridging the Gap Between Active Learning and Selective Prediction. Trans. Mach. Learn. Res. Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Somesh Jha, Tomas Pfister
2024	J	`jnl`	BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval. CoRR Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik, Danqi Chen, Tao Yu
2024	J	`jnl`	Contextual Sprint Classification in Soccer Based on Deep Learning. CoRR Hyunsung Kim, Gun-Hee Joe, Jinsung Yoon, Sang-Ki Ko
2024	J	`jnl`	DBHP: Trajectory Imputation in Multi-Agent Sports Using Derivative-Based Hybrid Prediction. CoRR Hanjun Choi, Hyunsung Kim, Minho Lee, Changjo Kim, Jinsung Yoon, Sang-Ki Ko
2024	A*	`conf`	Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning. ICML Sungwon Han, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
2024	J	`jnl`	Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning. CoRR Sungwon Han, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
2024	J	`jnl`	Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG. CoRR Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan Ö. Arik
2024	A*	`conf`	Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions. EMNLP Jinsung Yoon, Rajarishi Sinha, Sercan Ömer Arik, Tomas Pfister
2024	J	`jnl`	Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions. CoRR Jinsung Yoon, Rajarishi Sinha, Sercan Ö. Arik, Tomas Pfister
2024	J	`jnl`	Provable Membership Inference Privacy. Trans. Mach. Learn. Res. Zachary Izzo, Jinsung Yoon, Sercan Ö. Arik, James Zou
2024	—	`conf`	Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval. EMNLP (Findings) Yanfei Chen, Jinsung Yoon, Devendra Singh Sachan, Qingze Wang, Vincent Cohen-Addad, MohammadHossein Bateni, Chen-Yu Lee, Tomas Pfister
2024	J	`jnl`	Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval. CoRR Yanfei Chen, Jinsung Yoon, Devendra Singh Sachan, Qingze Wang, Vincent Cohen-Addad, MohammadHossein Bateni, Chen-Yu Lee, Tomas Pfister
2024	J	`jnl`	SKQVC: One-Shot Voice Conversion by K-Means Quantization with Self-Supervised Speech Representations. CoRR Youngjun Sim, Jinsung Yoon, Young-Joo Suh
2024	—	`conf`	Search-Adaptor: Embedding Customization for Information Retrieval. ACL (1) Jinsung Yoon, Yanfei Chen, Sercan Ö. Arik, Tomas Pfister
2023	—	`conf`	A Real-Time Keyword Spotting System Based on an End-To-End Binary Convolutional Neural Network in FPGA. COOL CHIPS Jinsung Yoon, Donghyun Lee, Neungyun Kim, Su-Jung Lee, Gil-Ho Kwak, Tae-Hwan Kim
2023	J	`jnl`	ASPEST: Bridging the Gap Between Active Learning and Selective Prediction. CoRR Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Somesh Jha, Tomas Pfister
2023	—	`conf`	Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs. EMNLP (Findings) Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister, Somesh Jha
2023	J	`jnl`	Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs. CoRR Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister, Somesh Jha
2023	A	`conf`	Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. WACV Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister
2023	A*	`conf`	Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM. KDD Hyunsung Kim, Han-Jun Choi, Changjo Kim, Jinsung Yoon, Sang-Ki Ko
2023	J	`jnl`	Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM. CoRR Hyunsung Kim, Han-Jun Choi, Changjo Kim, Jinsung Yoon, Sang-Ki Ko
2023	J	`jnl`	Clairvoyance: A Pipeline Toolkit for Medical Time Series. CoRR Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar
2023	A*	`conf`	Data-Efficient and Interpretable Tabular Anomaly Detection. KDD Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister
2023	J	`jnl`	EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records. npj Digit. Medicine Jinsung Yoon, Michel J. Mizrahi, Nahid Farhady Ghalaty, Thomas Jarvinen, Ashwin S. Ravi, Peter Brune, Fanyu Kong, Dave Anderson, George Lee, Arie Meir, Farhana Bandukwala, Elli Kanal, Sercan Ö. Arik, Tomas Pfister
2023	J	`jnl`	Interpretable Mixture of Experts. Trans. Mach. Learn. Res. Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
2023	J	`jnl`	Invariant Structure Learning for Better Generalization and Causal Explainability. Trans. Mach. Learn. Res. Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister
2023	J	`jnl`	PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series. CoRR Nicasia Beebe-Wang, Sayna Ebrahimi, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
2023	—	`conf`	Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records. CHIL Min Jae Lee, Kyunghoon Hur, Jiyoun Kim, Jinsung Yoon, Edward Choi
2023	J	`jnl`	Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records. CoRR Eunbyeol Cho, Min Jae Lee, Kyunghoon Hur, Jiyoun Kim, Jinsung Yoon, Edward Choi
2023	J	`jnl`	SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch. Trans. Mach. Learn. Res. Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Tomas Pfister
2023	J	`jnl`	Search-Adaptor: Text Embedding Customization for Information Retrieval. CoRR Jinsung Yoon, Sercan Ö. Arik, Yanfei Chen, Tomas Pfister
2023	J	`jnl`	The Design of GNSS/IMU Loosely-Coupled Integration Filter for Wearable EPTS of Football Players. Sensors Mingu Kim, Chulwoo Park, Jinsung Yoon
2022	J	`jnl`	A Deep Learning Approach for Fatigue Prediction in Sports Using GPS Data and Rate of Perceived Exertion. IEEE Access Jeongbin Kim, Hyunsung Kim, Jonghyun Lee, Jaechan Lee, Jinsung Yoon, Sang-Ki Ko
2022	J	`jnl`	Algorithmic fairness in pandemic forecasting: lessons from COVID-19. npj Digit. Medicine Thomas C. Tsai, Sercan Ö. Arik, Benjamin H. Jacobson, Jinsung Yoon, Nate Yoder, Dario Sava, Margaret Mitchell, Garth Graham, Tomas Pfister
2022	—	`conf`	Cost-Efficient and Bias-Robust Sports Player Tracking by Integrating GPS and Video. MLSA@PKDD/ECML Hyunsung Kim, Changjo Kim, Minchul Jeong, Jaechan Lee, Jinsung Yoon, Sang-Ki Ko
2022	J	`jnl`	Data-Efficient and Interpretable Tabular Anomaly Detection. CoRR Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister
2022	J	`jnl`	Interpretable Mixture of Experts for Structured Data. CoRR Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
2022	J	`jnl`	Invariant Structure Learning for Better Generalization and Causal Explainability. CoRR Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister
2022	J	`jnl`	LIMIS: Locally Interpretable Modeling using Instance-wise Subsampling. Trans. Mach. Learn. Res. Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
2022	J	`jnl`	Provable Membership Inference Privacy. CoRR Zachary Izzo, Jinsung Yoon, Sercan Ö. Arik, James Zou
2022	J	`jnl`	SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch. CoRR Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Tomas Pfister
2022	J	`jnl`	Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection. Trans. Mach. Learn. Res. Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Chen-Yu Lee, Tomas Pfister
2022	A*	`conf`	SoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data. KDD Hyunsung Kim, Bit Kim, Dongwook Chung, Jinsung Yoon, Sang-Ki Ko
2022	J	`jnl`	Towards Group Robustness in the presence of Partial Group Labels. CoRR Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister
2021	—	`conf`	6MapNet: Representing Soccer Players from Tracking Data by a Triplet Network. MLSA@PKDD/ECML Hyunsung Kim, Jihun Kim, Dongwook Chung, Jonghyun Lee, Jinsung Yoon, Sang-Ki Ko
2021	J	`jnl`	6MapNet: Representing soccer players from tracking data by a triplet network. CoRR Hyunsung Kim, Jihun Kim, Dongwook Chung, Jonghyun Lee, Jinsung Yoon, Sang-Ki Ko
2021	J	`jnl`	A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan. npj Digit. Medicine Sercan Ö. Arik, Joel Shor, Rajarishi Sinha, Jinsung Yoon, Joseph R. Ledsam, Long T. Le, Michael W. Dusenberry, Nathanael C. Yoder, Kris Popendorf, Arkady Epshteyn, Johan Euphrosine, Elli Kanal, Isaac Jones, Chun-Liang Li, Beth Luan, Joe Mckenna, Vikas Menon, Shashank Singh, Mimi Sun, Ashwin Sura Ravi, Leyou Zhang, Dario Sava, Kane Cunningham, Hiroki Kayama, Thomas C. Tsai, Daisuke Yoneoka, Shuhei Nomura, Hiroaki Miyata, Tomas Pfister
2021	J	`jnl`	Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. CoRR Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister
2021	A*	`conf`	Clairvoyance: A Pipeline Toolkit for Medical Time Series. ICLR Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar
2021	A*	`conf`	Controlling Neural Networks with Rule Representations. NeurIPS Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
2021	J	`jnl`	Controlling Neural Networks with Rule Representations. CoRR Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
2021	A*	`conf`	CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. CVPR Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister
2021	J	`jnl`	CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. CoRR Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister
2021	A*	`conf`	Learning and Evaluating Representations for Deep One-Class Classification. ICLR Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister
2021	J	`jnl`	Self-Trained One-class Classification for Unsupervised Anomaly Detection. CoRR Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Chen-Yu Lee, Tomas Pfister
2020	J	`jnl`	Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN). IEEE J. Biomed. Health Informatics Jinsung Yoon, Lydia N. Drumright, Mihaela van der Schaar
2020	A*	`conf`	Data Valuation using Reinforcement Learning. ICML Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister
2020	J	`jnl`	Dynamic Prediction in Clinical Survival Analysis Using Temporal Convolutional Networks. IEEE J. Biomed. Health Informatics Daniel Jarrett, Jinsung Yoon, Mihaela van der Schaar
2020	J	`jnl`	Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data. IEEE Trans. Biomed. Eng. Changhee Lee, Jinsung Yoon, Mihaela van der Schaar
2020	—	`—`	End-to-End Machine Learning Frameworks for Medicine: Data Imputation, Model Interpretation and Synthetic Data Generation. Jinsung Yoon
2020	J	`jnl`	Hide-and-Seek Privacy Challenge. CoRR James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
2020	—	`conf`	Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification. NeurIPS (Competition and Demos) James Jordon, Daniel Jarrett, Evgeny Saveliev, Jinsung Yoon, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
2020	J	`jnl`	Interpretable Sequence Learning for COVID-19 Forecasting. CoRR Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Nate Yoder, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister
2020	A*	`conf`	Interpretable Sequence Learning for Covid-19 Forecasting. NeurIPS Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister
2020	J	`jnl`	Learning and Evaluating Representations for Deep One-class Classification. CoRR Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister
2020	A*	`conf`	VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain. NeurIPS Jinsung Yoon, Yao Zhang, James Jordon, Mihaela van der Schaar
2019	—	`conf`	ASAC: Active Sensing using Actor-Critic models. MLHC Jinsung Yoon, James Jordon, Mihaela van der Schaar
2019	J	`jnl`	ASAC: Active Sensing using Actor-Critic models. CoRR Jinsung Yoon, James Jordon, Mihaela van der Schaar
2019	J	`jnl`	Data Valuation using Reinforcement Learning. CoRR Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister
2019	A*	`conf`	Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate. NeurIPS James Jordon, Jinsung Yoon, Mihaela van der Schaar
2019	J	`jnl`	Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks. IEEE Trans. Biomed. Eng. Jinsung Yoon, William R. Zame, Mihaela van der Schaar
2019	—	`conf`	INVASE: Instance-wise Variable Selection using Neural Networks. ICLR (Poster) Jinsung Yoon, James Jordon, Mihaela van der Schaar
2019	—	`conf`	KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks. ICLR James Jordon, Jinsung Yoon, Mihaela van der Schaar
2019	—	`conf`	PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees. ICLR (Poster) James Jordon, Jinsung Yoon, Mihaela van der Schaar
2019	J	`jnl`	RL-LIM: Reinforcement Learning-based Locally Interpretable Modeling. CoRR Jinsung Yoon, Sercan Ömer Arik, Tomas Pfister
2019	A*	`conf`	Time-series Generative Adversarial Networks. NeurIPS Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar
2018	—	`conf`	Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks. ICLR (Poster) Jinsung Yoon, William R. Zame, Mihaela van der Schaar
2018	A*	`conf`	DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks. AAAI Changhee Lee, William R. Zame, Jinsung Yoon, Mihaela van der Schaar
2018	—	`ch.`	Design of a Dynamic Data-Driven System for Multispectral Video Processing. Handbook of Dynamic Data Driven Applications Systems Honglei Li, Yanzhou Liu, Kishan Sudusinghe, Jinsung Yoon, Erik Blasch, Mihaela van der Schaar, Shuvra S. Bhattacharyya
2018	J	`jnl`	Feature Selection for Survival Analysis with Competing Risks using Deep Learning. CoRR Carl Rietschel, Jinsung Yoon, Mihaela van der Schaar
2018	A*	`conf`	GAIN: Missing Data Imputation using Generative Adversarial Nets. ICML Jinsung Yoon, James Jordon, Mihaela van der Schaar
2018	J	`jnl`	GAIN: Missing Data Imputation using Generative Adversarial Nets. CoRR Jinsung Yoon, James Jordon, Mihaela van der Schaar
2018	—	`conf`	GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets. ICLR (Poster) Jinsung Yoon, James Jordon, Mihaela van der Schaar
2018	J	`jnl`	MATCH-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks. CoRR Daniel Jarrett, Jinsung Yoon, Mihaela van der Schaar
2018	J	`jnl`	Measuring the quality of Synthetic data for use in competitions. CoRR James Jordon, Jinsung Yoon, Mihaela van der Schaar
2018	J	`jnl`	Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes. IEEE Trans. Biomed. Eng. Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
2018	A*	`conf`	RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks. ICML Jinsung Yoon, James Jordon, Mihaela van der Schaar
2018	J	`jnl`	RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks. CoRR Jinsung Yoon, James Jordon, Mihaela van der Schaar
2018	J	`jnl`	ToPs: Ensemble Learning With Trees of Predictors. IEEE Trans. Signal Process. Jinsung Yoon, William R. Zame, Mihaela van der Schaar
2017	J	`jnl`	Adaptive Ensemble Learning With Confidence Bounds. IEEE Trans. Signal Process. Cem Tekin, Jinsung Yoon, Mihaela van der Schaar
2017	J	`jnl`	Discovery and Clinical Decision Support for Personalized Healthcare. IEEE J. Biomed. Health Informatics Jinsung Yoon, Camelia Davtyan, Mihaela van der Schaar
2017	J	`jnl`	Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural Networks. CoRR Jinsung Yoon, William R. Zame, Mihaela van der Schaar
2017	J	`jnl`	Individualized Risk Prognosis for Critical Care Patients: A Multi-task Gaussian Process Model. CoRR Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
2017	A*	`conf`	Personalized Donor-Recipient Matching for Organ Transplantation. AAAI Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar
2017	J	`jnl`	Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors. CoRR Jinsung Yoon, William R. Zame, Amitava Banerjee, Martin Cadeiras, Ahmed M. Alaa, Mihaela van der Schaar
2017	J	`jnl`	ToPs: Ensemble Learning with Trees of Predictors. CoRR Jinsung Yoon, William R. Zame, Mihaela van der Schaar
2016	J	`jnl`	A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data. CoRR Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
2016	—	`conf`	Adaptive Ensemble Learning with Confidence Bounds for Personalized Diagnosis. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI Cem Tekin, Jinsung Yoon, Mihaela van der Schaar
2016	A*	`conf`	ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission. ICML Jinsung Yoon, Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar
2016	J	`jnl`	Personalized Donor-Recipient Matching for Organ Transplantation. CoRR Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar
2016	J	`jnl`	Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts. CoRR Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
2016	J	`jnl`	Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes. CoRR Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
2015	J	`jnl`	Adaptive Ensemble Learning with Confidence Bounds. CoRR Cem Tekin, Jinsung Yoon, Mihaela van der Schaar