Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024 - Nuria Alina Chandra; Ryan Murtfeldt; Lin Qiu; Arnab Karmakar; Hannah Lee; Emmanuel Tanumihardja; Kevin Farhat; Ben Caffee; Sejin Paik; Changyeon Lee; Jongwook Choi; Aerin Kim; et al. (CoRR, 2025)

PRISM: Complete Online Decentralized Multi-Agent Pathfinding with Rapid Information Sharing using Motion Constraints - Hannah Lee; Zachary Serlin; James Motes; Brendan Long; Marco Morales; Nancy M. Amato (CoRR, 2025)

SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning - Melanie Rieff; Maya Varma; Ossian Rabow; Subathra Adithan; Julie Kim; Ken Chang; Hannah Lee; Nidhi Rohatgi; Christian Bluethgen; Mohamed S. Muneer; Jean-Benoit Delbrouck; Michael Moor (CoRR, 2025)

Synthesized Data Generation for Enhanced Machine Learning in Dental X-ray Analysis: A Novel Approach to Age and Gender Prediction - M. I. R. Shuvo; Awal Ahmed Fime; Samuel Kim; Hannah Lee; Ian Jung; Jong-Hoon Kim; Young-Jin Jung; Dong-Hun Han (8th International Conference on Biomedical Engineering and Applications, ICBEA 2024, Tokyo, Japan, March 18-21, 2024, 2024)

A Novel Large Language Model (LLM) Based Approach for Robotic Collaboration in Search and Rescue Operations - M. I. R. Shuvo; Nafiul Alam; Awal Ahmed Fime; Hannah Lee; Xiangxu Lin; Jong-Hoon Kim (50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024, Chicago, IL, USA, November 3-6, 2024, 2024)

MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens - Anas Awadalla; Le Xue; Oscar Lo; Manli Shu; Hannah Lee; Etash Kumar Guha; Sheng Shen; Mohamed Awadalla; Silvio Savarese; Caiming Xiong; Ran Xu; Yejin Choi; et al. (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens - Anas Awadalla; Le Xue; Oscar Lo; Manli Shu; Hannah Lee; Etash Kumar Guha; Matt Jordan; Sheng Shen; Mohamed Awadalla; Silvio Savarese; Caiming Xiong; Ran Xu; et al. (CoRR, 2024)

The Tug-of-War Between Deepfake Generation and Detection - Hannah Lee; Changyeon Lee; Kevin Farhat; Lin Qiu; Steve Geluso; Aerin Kim; Oren Etzioni (CoRR, 2024)

State estimation for parallel-connected batteries via inverse dynamic modeling - Hannah Lee; Casey Casten; Hosam Fathy (CoRR, 2024)

BLIP3-KALE: Knowledge Augmented Large-Scale Dense Captions - Anas Awadalla; Le Xue; Manli Shu; An Yan; Jun Wang; Senthil Purushwalkam; Sheng Shen; Hannah Lee; Oscar Lo; Jae Sung Park; Etash Kumar Guha; Silvio Savarese; et al. (CoRR, 2024)

Wearable Graphene Tattoo Impedance Tomography for Skin Lesion Differentiation - Hannah Lee; Spencer Denton; Dmitry Kireev; Deji Akinwande; Zane Johnson; Emily Porter (IEEE Biomedical Circuits and Systems Conference, BioCAS 2023, Toronto, ON, Canada, October 19-21, 2023, 2023)

Trajectories of Anxiety Symptoms for COVID-19 Patients Using Multimodal Data Collected from Telemedicine - Sumi Sung; Su Hwan Kim; Youlim Kim; Mirinae You; Hannah Lee; Soojin Her; Ye Seul Bae; Eui Kyu Chie (Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22 - 25 May 2023, 2023)

Parallel Hierarchical Composition Conflict-Based Search for Optimal Multi-Agent Pathfinding - Hannah Lee; James Motes; Marco Morales; Nancy M. Amato (IEEE Robotics Autom. Lett., 2021)

Impact of Local Electrodes on Brain Stroke Type Differentiation using Electrical Impedance Tomography - Hannah Lee; Jared Culpepper; Ali Farshkaran; Barry McDermott; Emily Porter (43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, Mexico, November 1-5, 2021, 2021)

A Non-Intrusive Speech Intelligibility Estimation Method Based on Deep Learning Using Autoencoder Features - Yoonhee Kim; Deokgyu Yun; Hannah Lee; Seung Ho Choi (IEICE Trans. Inf. Syst., 2020)

Multi-Robot Task and Motion Planning With Subtask Dependencies - James Motes; Read Sandström; Hannah Lee; Shawna L. Thomas; Nancy M. Amato (IEEE Robotics Autom. Lett., 2020)

Development of Spatial Quality Control Method for Temperature Observation Data using Cluster Analysis - Yunha Kim; Nooree Min; Hannah Lee; Mi-Lim Ou; Sanghyeon Jeon; Myung-jin Hyun (Proceedings of the 8th International Conference on Data Science, Technology and Applications, DATA 2019, Prague, Czech Republic, July 26-28, 2019, 2019)

A Deep Learning-Based Approach to Non-Intrusive Objective Speech Intelligibility Estimation - Deokgyu Yun; Hannah Lee; Seung Ho Choi (IEICE Trans. Inf. Syst., 2018)

Patient Satisfaction with Mobile Health (mHealth) Application for Exercise Intervention in Breast Cancer Survivors - Hannah Lee; Kyeong Eun Uhm; In Yae Cheong; Ji Sung Yoo; Seung Hyun Chung; Yong Hyun Park; Ji Youl Lee; Ji Hye Hwang (J. Medical Syst., 2018)

Adoption of Mobile Apps for Mental Health: Socio-psychological and Technological Factors - Soontae An; Hannah Lee (Wireless Mobile Communication and Healthcare - 7th International Conference, MobiHealth 2017, Vienna, Austria, November 14-15, 2017, Proceedings, 2017)

Collaboration for Human-Centric eGovernment Workflows - Khaled Gaaloul; François Charoy; Andreas Schaad; Hannah Lee (Web Information Systems Engineering - WISE 2007 Workshops, WISE 2007 International Workshops, Nancy, France, December 3, 2007, Proceedings, 2007)