Designing a Morphogenetic System for Evolvable Hardware. - Justin Lee; Joaquin Sitte (Australian Conference on Artificial Intelligence, 2004)

A gate-level model for morphogenetic evolvable hardware. - Justin Lee; Joaquin Sitte (FPT, 2004)

Formation of a geometric pattern with a mobile wireless sensor network. - Justin Lee; Svetha Venkatesh; Mohan Kumar (J. Field Robotics, 2004)

Chapter 11 Issues in the Scalability of Gate-Level Morphogenetic Evolvable Hardware. - Justin Lee; Joaquin Sitte (Recent Advances in Artificial Life, 2005)

Pair-Wise Sequence Analysis using Information Specific Algorithm. - Justin Lee; Xiong Wang (CIT, 2006)

Gate-level Morphogenetic Evolvable Hardware for Scalability and Adaptation on FPGAs. - Justin Lee; Joaquin Sitte (AHS, 2006)

Jump: a system for interactive, tangible queries of paper. - Michael A. Terry; Janet Cheung; Justin Lee; Terry Park; Nigel Williams (Graphics Interface, 2007)

Phantom evaluation of an image-guided navigation system based on electromagnetic tracking and open source software. - Ralph Lin; Peng Cheng; David Lindisch; Filip Banovac; Justin Lee; Kevin Cleary (Image-Guided Procedures, 2008)

Don't touch: social appropriateness of touch sensor placement on interactive lumalive e-textime shirts. - Sylvia H. Cheng; Connor Dickie; Andreas Hanewich-Hollatz; Roel Vertegaal; Justin Lee (CHI Extended Abstracts, 2011)

Acoustic Hazard Detection for Pedestrians With Obscured Hearing. - Justin Lee; Andry Rakotonirainy (IEEE Trans. Intell. Transp. Syst., 2011)

Lensless computational imaging through deep learning. - Ayan Sinha; Justin Lee; Shuai Li; George Barbastathis (CoRR, 2017)

Geometric Realizations of the 3D Associahedron (Multimedia Exposition). - Satyan L. Devadoss; Daniel D. Johnson 001; Justin Lee; Jackson Warley (SoCG, 2018)

Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study. - Derek Howard; Marta Maslej; Justin Lee; Jacob Ritchie; Geoffrey Woollard; Leon French (CoRR, 2019)

A software tool for protein sequence alignment. - Justin Lee; Shawn X. Wang (Int. J. Bioinform. Res. Appl., 2020)

Human-Autonomy Teaming with Learning Capable Agents: Performance and Workload Outcomes. - Julia L. Wright; Justin Lee; Jacquelyn A. Schreck (AHFE (6), 2021)

MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar. - Michail Mamalakis; Pankaj Garg; Tom Nelson; Justin Lee; Jim M. Wild; Richard H. Clayton (Comput. Medical Imaging Graph., 2021)

stratamatch: Prognostic Score Stratification Using a Pilot Design. - Rachael C. Aikens; Joseph Rigdon; Justin Lee; Michael T. M. Baiocchi; Andrew B. Goldstone; Peter Chiu; Y. Joseph Woo; Jonathan H. Chen (R J., 2021)

A Neural Pairwise Ranking Model for Readability Assessment. - Justin Lee; Sowmya Vajjala (ACL (Findings), 2022)

DSS: Drawing Dynamic Graphs with Spectral Sparsification. - Amyra Meidiana; Seok-Hee Hong 001; Yanyi Pu; Justin Lee; Peter Eades; Jinwook Seo (EuroVis (Short Papers), 2022)

Modernizing Open-Set Speech Language Identification. - Mustafa Eyceoz; Justin Lee; Homayoon S. M. Beigi (CoRR, 2022)

The elephant in the room: attention to salient scene features increases with comedic expertise. - Ori Amir; Konrad J. Utterback; Justin Lee; Kevin S. Lee; Suehyun Kwon; Dave M. Carroll; Alexandra Papoutsaki (Cogn. Process., 2022)

Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle. - Michail Mamalakis; Pankaj Garg; Tom Nelson; Justin Lee; Andrew J. Swift; Jim M. Wild; Richard H. Clayton (Comput. Medical Imaging Graph., 2023)

Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology. - Sai Chowdary Gullapally; Yibo Zhang; Nitin Kumar Mittal; Deeksha Kartik; Sandhya Srinivasan; Kevin Rose; Daniel Shenker; Dinkar Juyal; Harshith Padigela; Raymond Biju; Victor Minden; Chirag Maheshwari; et al. (CoRR, 2023)

Boundary Attention Mapping (BAM): Fine-grained saliency maps for segmentation of Burn Injuries. - Mahla Abdolahnejad; Justin Lee; Hannah Chan; Alex Morzycki; Olivier Ethier; Anthea Mo; Peter X. Liu; Joshua N. Wong; Colin Hong; Rakesh Joshi (CoRR, 2023)

ContriMix: Unsupervised disentanglement of content and attribute for domain generalization in microscopy image analysis. - Tan H. Nguyen; Dinkar Juyal; Jin Li; Aaditya Prakash; Shima Nofallah; Chintan Shah; Sai Chowdary Gullapally; Michael Griffin; Anand Sampat; John Abel; Justin Lee; Amaro Taylor-Weiner (CoRR, 2023)

Robust Open-Set Spoken Language Identification and the CU MultiLang Dataset. - Mustafa Eyceoz; Justin Lee; Siddharth Pittie; Homayoon S. M. Beigi (CoRR, 2023)

The Importance of Prompt Tuning for Automated Neuron Explanations. - Justin Lee; Tuomas P. Oikarinen; Arjun Chatha; Keng-Chi Chang; Yilan Chen 002; Tsui-Wei Weng (CoRR, 2023)

Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar. - Michail Mamalakis; Pankaj Garg; Tom Nelson; Justin Lee; Andrew J. Swift; James M. Wild; Richard H. Clayton (Artif. Intell. Medicine, 2023)

ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology. - Tan H. Nguyen; Dinkar Juyal; Jin Li; Aaditya Prakash; Shima Nofallah; Chintan Shah; Sai Chowdary Gullapally; Limin Yu; Michael Griffin; Anand Sampat; John Abel; Justin Lee; et al. (COMPAY@MICCAI, 2024)

Methods, Applications, and Directions of Learning-to-Rank in NLP Research. - Justin Lee; Gabriel Bernier-Colborne; Tegan Maharaj; Sowmya Vajjala (NAACL-HLT (Findings), 2024)

MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs. - Jihyung Kil; Zheda Mai; Justin Lee; Arpita Chowdhury; Zihe Wang; Kerrie Cheng; Lemeng Wang; Ye Liu; Wei-Lun Chao (NeurIPS, 2024)

CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs. - Jihyung Kil; Zheda Mai; Justin Lee; Zihe Wang; Kerrie Cheng; Lemeng Wang; Ye Liu; Arpita Chowdhury; Wei-Lun Chao (CoRR, 2024)

Survival Analysis for Cancers of the Brain, CNS and Bone using Retrieval Augmented Generation on the SEER Database. - Jyothi Vaidyanathan; Shourya Gupta; Justin Lee; Srikanth Prabhu; Saptarshi Sengupta (AAAI Spring Symposia, 2025)

Novel CNN-Based Approach for Burn Severity Assessment and Fine-Grained Boundary Segmentation in Burn Images. - Mahla Abdolahnejad; Justin Lee; Hannah Chan; Alex Morzycki; Olivier Ethier; Anthea Mo; Peter X. Liu; Joshua N. Wong; Colin Hong; Rakesh Joshi (IEEE Trans. Instrum. Meas., 2025)

Command R7B Arabic: A Small, Enterprise Focused, Multilingual, and Culturally Aware Arabic LLM. - Yazeed Alnumay; Alexandre Barbet; Anna Bialas; William Darling; Shaan Desai; Joan Devassy; Kyle Duffy; Stephanie Howe; Olivia Lasche; Justin Lee; Anirudh Shrinivason; Jennifer Tracey (CoRR, 2025)

Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points. - Justin Lee; Behnaz Moradijamei; Heman Shakeri (CoRR, 2025)