Justin Lee

According to our database, Justin Lee authored at least 30 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Methods, Applications, and Directions of Learning-to-Rank in NLP Research.

Justin Lee, Gabriel Bernier-Colborne, Tegan Maharaj, Sowmya Vajjala

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

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, September, 2023

The Importance of Prompt Tuning for Automated Neuron Explanations.

Justin Lee, Tuomas P. Oikarinen, Arjun Chatha, Keng-Chi Chang, Yilan Chen, Tsui-Wei Weng

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

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

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

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, Marc Thibault, Zvi Goldstein, Luke Novak, Nidhi Chandra, Justin Lee, Aaditya Prakash, Chintan Shah, John Abel, Darren Fahy, Amaro Taylor-Weiner, Anand Sampat

CoRR, 2023

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

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

Modernizing Open-Set Speech Language Identification.

Mustafa Eyceoz, Justin Lee, Homayoon S. M. Beigi

CoRR, 2022

DSS: Drawing Dynamic Graphs with Spectral Sparsification.

Amyra Meidiana, Seok-Hee Hong, Yanyi Pu, Justin Lee, Peter Eades, Jinwook Seo

Proceedings of the 24th Eurographics Conference on Visualization, 2022

A Neural Pairwise Ranking Model for Readability Assessment.

Justin Lee, Sowmya Vajjala

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

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

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

Human-Autonomy Teaming with Learning Capable Agents: Performance and Workload Outcomes.

Julia L. Wright, Justin Lee, Jacquelyn A. Schreck

Proceedings of the Advances in Simulation and Digital Human Modeling, 2021

2020

A software tool for protein sequence alignment.

Justin Lee, Shawn X. Wang

Int. J. Bioinform. Res. Appl., 2020

2019

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

2018

Geometric Realizations of the 3D Associahedron (Multimedia Exposition).

Satyan L. Devadoss, Daniel D. Johnson, Justin Lee, Jackson Warley

Proceedings of the 34th International Symposium on Computational Geometry, 2018

2017

Lensless computational imaging through deep learning.

Ayan Sinha, Justin Lee, Shuai Li, George Barbastathis

CoRR, 2017

2011

Acoustic Hazard Detection for Pedestrians With Obscured Hearing.

Justin Lee, Andry Rakotonirainy

IEEE Trans. Intell. Transp. Syst., 2011

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

Proceedings of the International Conference on Human Factors in Computing Systems, 2011

2008

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

Proceedings of the Medical Imaging 2008: Visualization, 2008

2007

Jump: a system for interactive, tangible queries of paper.

Michael A. Terry, Janet Cheung, Justin Lee, Terry Park, Nigel Williams

Proceedings of the Graphics Interface 2007 Conference, May 28-30, 2007, Montreal, Canada, 2007

2006

Gate-level Morphogenetic Evolvable Hardware for Scalability and Adaptation on FPGAs.

Justin Lee, Joaquin Sitte

Proceedings of the First NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2006), 2006

Pair-Wise Sequence Analysis using Information Specific Algorithm.

Justin Lee, Xiong Wang

Proceedings of the Sixth International Conference on Computer and Information Technology (CIT 2006), 2006

2005

Chapter 11 Issues in the Scalability of Gate-Level Morphogenetic Evolvable Hardware.

Justin Lee, Joaquin Sitte

Proceedings of the Recent Advances in Artificial Life, 2005

2004

Formation of a geometric pattern with a mobile wireless sensor network.

Justin Lee, Svetha Venkatesh, Mohan Kumar

J. Field Robotics, 2004

A gate-level model for morphogenetic evolvable hardware.

Justin Lee, Joaquin Sitte

Proceedings of the 2004 IEEE International Conference on Field-Programmable Technology, 2004

Designing a Morphogenetic System for Evolvable Hardware.

Justin Lee, Joaquin Sitte

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004