| 2026 | ACL | A Dynamic Self-Evolving Extraction System. | Moin Aminnaseri, Hannah Kim, Estevam Hruschka |
| 2026 | EACL | RECAP: REwriting Conversations for Intent Understanding in Agentic Planning. | Kushan Mitra, Dan Zhang, Hannah Kim, Estevam Hruschka |
| 2025 | EMNLP | AIPOM: Agent-aware Interactive Planning for Multi-Agent Systems. | Hannah Kim, Kushan Mitra, Chen Shen, Dan Zhang, Estevam Hruschka |
| 2024 | ACL | Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks. | Aditi Mishra, Sajjadur Rahman, Kushan Mitra, Hannah Kim, Estevam Hruschka |
| 2024 | CHI | Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels. | Xinru Wang, Hannah Kim, Sajjadur Rahman, Kushan Mitra, Zhengjie Miao |
| 2024 | EACL | MEGAnno+: A Human-LLM Collaborative Annotation System. | Hannah Kim, Kushan Mitra, Rafael Li Chen, Sajjadur Rahman, Dan Zhang |
| 2024 | FIE | WIP: Identifying Tutorial Affordances for Interdisciplinary Learning Environments. | Hannah Kim, Sergei L. Kosakovsky Pond, Stephen MacNeil |
| 2023 | CHI | Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks. | Frederick Choi, Sajjadur Rahman, Hannah Kim, Dan Zhang |
| 2023 | ICCV | SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving. | Shuai Yuan, Shuzhi Yu, Hannah Kim, Carlo Tomasi |
| 2023 | IJCAI | Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks. | Hannah Kim, Celia Cintas, Girmaw Abebe Tadesse, Skyler Speakman |
| 2023 | WWW | Weedle: Composable Dashboard for Data-Centric NLP in Computational Notebooks. | Nahyun Kwon, Hannah Kim, Sajjadur Rahman, Dan Zhang, Estevam Hruschka |
| 2022 | ECCV | Optical Flow Training Under Limited Label Budget via Active Learning. | Shuai Yuan, Xian Sun, Hannah Kim, Shuzhi Yu, Carlo Tomasi |
| 2022 | EMNLP | Low-resource Interactive Active Labeling for Fine-tuning Language Models. | Seiji Maekawa, Dan Zhang, Hannah Kim, Sajjadur Rahman, Estevam Hruschka |
| 2019 | AAAI | Understanding Actors and Evaluating Personae with Gaussian Embeddings. | Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li |
| 2017 | AAAI | PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering. | Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park |
| 2015 | KDD | Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization. | Hannah Kim, Jaegul Choo, Jingu Kim, Chandan K. Reddy, Haesun Park |
| 2014 | HCI | CamouFAB: Real-Time Generation of Camouflage Pattern Using Optic Fiber Display. | Woon Jung Cho, Jin-Hee Yang, Hannah Kim, Dong-Hyun Kang, Minsun Kim, Ja Hyung Lee, Yong-Jun Kim, Joohyeon Lee, Kwang-Hee Han |
| 2013 | HCI | CamouLED: Real-Time Generation of Pixel Pattern for Camouflage. | Woon Jung Cho, Hye-Kyoung Seo, Hannah Kim, Jiyeun Lee, Dong-Hyun Kang, Min-Ki Kim, Kwang-Hee Han |
| 2008 | VTC | An Adaptive K-best Algorithm without SNR Estimation for MIMO Systems. | Bong-seok Kim, Hannah Kim, Kwonhue Choi |