Noah Lee - RankMe

39 papers A* 7A 1B 1Journal 14Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Margin-Aware Preference Optimization for Aligning Diffusion Models Without Reference. AAAI Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong
2025	J	`jnl`	AlphaPO - Reward shape matters for LLM alignment. CoRR Aman Gupta, Shao Tang, Qingquan Song, Sirou Zhu, Jiwoo Hong, Ankan Saha, Viral Gupta, Noah Lee, Eunki Kim, Jason Zhu, Natesh S. Pillai, S. Sathiya Keerthi
2025	A*	`conf`	AlphaPO: Reward Shape Matters for LLM Alignment. ICML Aman Gupta, Shao Tang, Qingquan Song, Sirou Zhu, Jiwoo Hong, Ankan Saha, Viral Gupta, Noah Lee, Eunki Kim, Siyu Zhu, Parag Agrawal, Natesh S. Pillai, S. Sathiya Keerthi
2025	—	`conf`	Cross-lingual Transfer of Reward Models in Multilingual Alignment. NAACL (Short Papers) Jiwoo Hong, Noah Lee, Rodrigo Martínez-Castaño, César Rodríguez, James Thorne
2025	B	`conf`	Evaluating the Consistency of LLM Evaluators. COLING Noah Lee, Jiwoo Hong, James Thorne
2025	J	`jnl`	KoDi: A Korean Diffusion Model for Bilingual Text-to-Image Generation and Cultural Fidelity. IEEE Access Kyuheon Jung, Noah Lee, Sungchul Choi
2025	A*	`conf`	On the Robustness of Reward Models for Language Model Alignment. ICML Jiwoo Hong, Noah Lee, Eunki Kim, Guijin Son, Woojin Chung, Aman Gupta, Shao Tang, James Thorne
2025	J	`jnl`	On the Robustness of Reward Models for Language Model Alignment. CoRR Jiwoo Hong, Noah Lee, Eunki Kim, Guijin Son, Woojin Chung, Aman Gupta, Shao Tang, James Thorne
2025	—	`conf`	The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. NAACL (Long Papers) Seungone Kim, Juyoung Suk, Ji Yong Cho, Shayne Longpre, Chaeeun Kim, Dongkeun Yoon, Guijin Son, Yejin Choi, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo
2024	J	`jnl`	Cross-lingual Transfer of Reward Models in Multilingual Alignment. CoRR Jiwoo Hong, Noah Lee, Rodrigo Martínez-Castaño, César Rodríguez, James Thorne
2024	J	`jnl`	Evaluating the Consistency of LLM Evaluators. CoRR Noah Lee, Jiwoo Hong, James Thorne
2024	J	`jnl`	Margin-aware Preference Optimization for Aligning Diffusion Models without Reference. CoRR Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong
2024	A*	`conf`	ORPO: Monolithic Preference Optimization without Reference Model. EMNLP Jiwoo Hong, Noah Lee, James Thorne
2024	J	`jnl`	ORPO: Monolithic Preference Optimization without Reference Model. CoRR Jiwoo Hong, Noah Lee, James Thorne
2024	J	`jnl`	The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. CoRR Seungone Kim, Juyoung Suk, Ji Yong Cho, Shayne Longpre, Chaeeun Kim, Dongkeun Yoon, Guijin Son, Yejin Choi, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo
2023	A*	`conf`	Can Large Language Models Capture Dissenting Human Voices? EMNLP Noah Lee, Na An, James Thorne
2023	J	`jnl`	Can Large Language Models Infer and Disagree Like Humans? CoRR Noah Lee, Na Min An, James Thorne
2023	J	`jnl`	Redrawing the 2012 map of the Maryland congressional districts. CoRR Noah Lee, Hyunwoo Park, Sangho Shim
2023	—	`conf`	Robust Fine-Tuning of Vision-Language Models for Domain Generalization. HPEC Kevin Vogt-Lowell, Noah Lee, Theodoros Tsiligkaridis, Marc Vaillant
2023	J	`jnl`	Robust Fine-Tuning of Vision-Language Models for Domain Generalization. CoRR Kevin Vogt-Lowell, Noah Lee, Theodoros Tsiligkaridis, Marc Vaillant
2023	—	`conf`	Scalable Deep Learning for Pilot Performance Analysis Using Multimodal Physiological Time Series. HPEC Noah Lee, Patrick W. Moore, Laura J. Brattain
2022	—	`conf`	Code Quality Prediction Under Super Extreme Class Imbalance. ISSRE Workshops Noah Lee, Rui Abreu, Nachiappan Nagappan
2022	A	`conf`	The Engineering Implications of Code Maintenance in Practice. ICSME Noah Lee, Rui Abreu, Mehmet Yatbaz, Hang Qu, Nachiappan Nagappan
2022	—	`conf`	Workgraph: personal focus vs. interruption for engineers at Meta. ESEC/SIGSOFT FSE Yifen Chen, Peter C. Rigby, Yulin Chen, Kun Jiang, Nader Dehghani, Qianying Huang, Peter Cottle, Clayton Andrews, Noah Lee, Nachiappan Nagappan
2017	J	`jnl`	Mindboggling morphometry of human brains. PLoS Comput. Biol. Arno Klein, Satrajit S. Ghosh, Forrest Sheng Bao, Joachim Giard, Yrjö Häme, Eliezer Stavsky, Noah Lee, Brian Rossa, Martin Reuter, Elias Chaibub Neto, Anisha Keshavan
2013	J	`jnl`	A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data. IEEE Trans. Pattern Anal. Mach. Intell. Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, Shahram Ebadollahi, Andrew F. Laine
2012	A*	`conf`	Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach. KDD Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, Shahram Ebadollahi
2011	A*	`conf`	Automatic Group Sparse Coding. AAAI Fei Wang, Noah Lee, Jimeng Sun, Jianying Hu, Shahram Ebadollahi
2011	—	`conf`	Mining Electronic Medical Records to Explore the Linkage between Healthcare Resource Utilization and Disease Severity in Diabetic Patients. HISB Noah Lee, Andrew F. Laine, Jianying Hu, Fei Wang, Jimeng Sun, Shahram Ebadollahi
2011	—	`—`	Synergizing human-machine intelligence: Visualizing, labeling, and mining the electronic health record. Noah Lee
2011	—	`conf`	Towards a deep learning approach to brain parcellation. ISBI Noah Lee, Andrew F. Laine, Arno Klein
2010	J	`jnl`	A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration. IEEE Trans. Biomed. Eng. Jian Chen, Jie Tian, Noah Lee, Jian Zheng, R. Theodore Smith, Andrew F. Laine
2009	—	`conf`	Concept Detection in Longitudinal Brain MR Images Using Multi-Modal Cues. ISBI Jesus J. Caban, Noah Lee, Shahram Ebadollahi, Andrew Laine, John R. Kender
2009	—	`conf`	Interactive segmentation in multimodal brain imagery using a Bayesian transductive learning approach. Computer-Aided Diagnosis Noah Lee, Jesus Caban, Shahram Ebadollahi, Andrew Laine
2008	—	`conf`	Interactive image analysis in age-related macular degeneration (AMD) and Stargardt disease (STGD). ACSCC R. Theodore Smith, Noah Lee, Jian Chen, Mihai Busuioc, Andrew F. Laine
2008	—	`conf`	Interactive segmentation for geographic atrophy in retinal fundus images. ACSCC Noah Lee, R. Theodore Smith, Andrew F. Laine
2008	—	`conf`	Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images. ISBI Noah Lee, Andrew F. Laine, R. Theodore Smith
2008	—	`conf`	True-false lumen segmentation of aortic dissection using multi-scale wavelet analysis and generative-discriminative model matching. Computer-Aided Diagnosis Noah Lee, Hüseyin Tek, Andrew F. Laine
2006	—	`conf`	Tangential curved planar reformation for topological and orientation invariant visualization of vascular trees. EMBC Noah Lee, Matthias Rasch