Collaboration for Human-Centric eGovernment Workflows. - Khaled Gaaloul; François Charoy; Andreas Schaad; Hannah Lee (WISE Workshops, 2007)

Adoption of Mobile Apps for Mental Health: Socio-psychological and Technological Factors. - Soontae An; Hannah Lee (MobiHealth, 2017)

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)

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 (DATA, 2019)

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)

Impact of Local Electrodes on Brain Stroke Type Differentiation using Electrical Impedance Tomography. - Hannah Lee; Jared Culpepper; Ali Farshkaran; Barry McDermott; Emily Porter (EMBC, 2021)

Parallel Hierarchical Composition Conflict-Based Search for Optimal Multi-Agent Pathfinding. - Hannah Lee; James Motes; Marco Morales 001; Nancy M. Amato (IEEE Robotics Autom. Lett., 2021)

Wearable Graphene Tattoo Impedance Tomography for Skin Lesion Differentiation. - Hannah Lee; Spencer Denton; Dmitry Kireev; Deji Akinwande; Zane Johnson; Emily Porter (BioCAS, 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 (MIE, 2023)

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 (ICBEA, 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 (IECON, 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 001; Mohamed Awadalla; Silvio Savarese; Caiming Xiong; Ran Xu 001; Yejin Choi 001; et al. (NeurIPS, 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 001; Mohamed Awadalla; Silvio Savarese; Caiming Xiong; Ran Xu 001; 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 090; Senthil Purushwalkam; Sheng Shen 001; Hannah Lee; Oscar Lo; Jae Sung Park; Etash Kumar Guha; Silvio Savarese; et al. (CoRR, 2024)

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 001; 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)