Tangential curved planar reformation for topological and orientation invariant visualization of vascular trees. - Noah Lee; Matthias Rasch (EMBC, 2006)

Interactive segmentation for geographic atrophy in retinal fundus images. - Noah Lee; R. Theodore Smith; Andrew F. Laine (ACSCC, 2008)

Interactive image analysis in age-related macular degeneration (AMD) and Stargardt disease (STGD). - R. Theodore Smith; Noah Lee; Jian Chen 014; Mihai Busuioc; Andrew F. Laine (ACSCC, 2008)

Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images. - Noah Lee; Andrew F. Laine; R. Theodore Smith (ISBI, 2008)

True-false lumen segmentation of aortic dissection using multi-scale wavelet analysis and generative-discriminative model matching. - Noah Lee; Hüseyin Tek; Andrew F. Laine (Computer-Aided Diagnosis, 2008)

Concept Detection in Longitudinal Brain MR Images Using Multi-Modal Cues. - Jesus J. Caban; Noah Lee; Shahram Ebadollahi; Andrew Laine; John R. Kender (ISBI, 2009)

Interactive segmentation in multimodal brain imagery using a Bayesian transductive learning approach. - Noah Lee; Jesus Caban; Shahram Ebadollahi; Andrew Laine (Computer-Aided Diagnosis, 2009)

A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration. - Jian Chen 014; Jie Tian 001; Noah Lee; Jian Zheng 001; R. Theodore Smith; Andrew F. Laine (IEEE Trans. Biomed. Eng., 2010)

Automatic Group Sparse Coding. - Fei Wang 001; Noah Lee; Jimeng Sun 001; Jianying Hu; Shahram Ebadollahi (AAAI, 2011)

Mining Electronic Medical Records to Explore the Linkage between Healthcare Resource Utilization and Disease Severity in Diabetic Patients. - Noah Lee; Andrew F. Laine; Jianying Hu; Fei Wang 001; Jimeng Sun 001; Shahram Ebadollahi (HISB, 2011)

Towards a deep learning approach to brain parcellation. - Noah Lee; Andrew F. Laine; Arno Klein (ISBI, 2011)

Synergizing human-machine intelligence: Visualizing, labeling, and mining the electronic health record. - Noah Lee (2011)

Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach. - Fei Wang 001; Noah Lee; Jianying Hu; Jimeng Sun 001; Shahram Ebadollahi (KDD, 2012)

A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data. - Fei Wang 001; Noah Lee; Jianying Hu; Jimeng Sun 001; Shahram Ebadollahi; Andrew F. Laine (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Mindboggling morphometry of human brains. - Arno Klein; Satrajit S. Ghosh; Forrest Sheng Bao; Joachim Giard; Yrjö Häme; Eliezer Stavsky; Noah Lee; Brian Rossa; Martin Reuter 001; Elias Chaibub Neto; Anisha Keshavan (PLoS Comput. Biol., 2017)

The Engineering Implications of Code Maintenance in Practice. - Noah Lee; Rui Abreu 001; Mehmet Yatbaz; Hang Qu; Nachiappan Nagappan (ICSME, 2022)

Code Quality Prediction Under Super Extreme Class Imbalance. - Noah Lee; Rui Abreu 001; Nachiappan Nagappan (ISSRE Workshops, 2022)

Workgraph: personal focus vs. interruption for engineers at Meta. - Yifen Chen; Peter C. Rigby; Yulin Chen; Kun Jiang; Nader Dehghani; Qianying Huang; Peter Cottle; Clayton Andrews; Noah Lee; Nachiappan Nagappan (ESEC/SIGSOFT FSE, 2022)

Can Large Language Models Capture Dissenting Human Voices? - Noah Lee; Na An; James Thorne (EMNLP, 2023)

Scalable Deep Learning for Pilot Performance Analysis Using Multimodal Physiological Time Series. - Noah Lee; Patrick W. Moore; Laura J. Brattain (HPEC, 2023)

Robust Fine-Tuning of Vision-Language Models for Domain Generalization. - Kevin Vogt-Lowell; Noah Lee; Theodoros Tsiligkaridis; Marc Vaillant (HPEC, 2023)

Can Large Language Models Infer and Disagree Like Humans? - Noah Lee; Na Min An; James Thorne (CoRR, 2023)

Redrawing the 2012 map of the Maryland congressional districts. - Noah Lee; Hyunwoo Park; Sangho Shim (CoRR, 2023)

ORPO: Monolithic Preference Optimization without Reference Model. - Jiwoo Hong; Noah Lee; James Thorne (EMNLP, 2024)

Margin-aware Preference Optimization for Aligning Diffusion Models without Reference. - Jiwoo Hong; Sayak Paul; Noah Lee; Kashif Rasul; James Thorne; Jongheon Jeong (CoRR, 2024)

Evaluating the Consistency of LLM Evaluators. - Noah Lee; Jiwoo Hong; James Thorne (COLING, 2025)

Cross-lingual Transfer of Reward Models in Multilingual Alignment. - Jiwoo Hong; Noah Lee; Rodrigo Martínez-Castaño; César Rodríguez; James Thorne (NAACL (Short Papers), 2025)

The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. - Seungone Kim; Juyoung Suk; Ji Yong Cho; Shayne Longpre; Chaeeun Kim; Dongkeun Yoon; Guijin Son; Yejin Choi 001; Sheikh Shafayat; Jinheon Baek; Sue Hyun Park; Hyeonbin Hwang; et al. (NAACL (Long Papers), 2025)

AlphaPO - Reward shape matters for LLM alignment. - Aman Gupta; Shao Tang; Qingquan Song; Sirou Zhu; Jiwoo Hong; Ankan Saha; Viral Gupta; Noah Lee; Eunki Kim; Jason Zhu; Natesh Pillai; S. Sathiya Keerthi (CoRR, 2025)

On the Robustness of Reward Models for Language Model Alignment. - Jiwoo Hong; Noah Lee; Eunki Kim; Guijin Son; Woojin Chung; Aman Gupta; Shao Tang; James Thorne (CoRR, 2025)