William Jongwon Han

According to our database, William Jongwon Han authored at least 20 papers between 2022 and 2025.

Collaborative distances:

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

2025

Behavior Injection: Preparing Language Models for Reinforcement Learning.

Zhepeng Cen, Yihang Yao, William Han, Zuxin Liu, Ding Zhao

CoRR, May, 2025

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework.

William Han, Chaojing Duan, Zhepeng Cen, Yihang Yao, Xiaoyu Song, Atharva Mhaskar, Dylan Leong, Michael A. Rosenberg, Emerson Liu, Ding Zhao

CoRR, May, 2025

Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications.

Xilun Zhang, Shiqi Liu, Peide Huang, William Jongwon Han, Yiqi Lyu, Mengdi Xu, Ding Zhao

IEEE Robotics Autom. Lett., April, 2025

Feature-EndoGaussian: Feature Distilled Gaussian Splatting in Surgical Deformable Scene Reconstruction.

Kai Li, Junhao Wang, William Han, Ding Zhao

CoRR, March, 2025

Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety.

Yuyou Zhang, Miao Li, William Han, Yihang Yao, Zhepeng Cen, Ding Zhao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training.

Yihang Yao, Zhepeng Cen, Miao Li, William Han, Yuyou Zhang, Emerson Liu, Zuxin Liu, Chuang Gan, Ding Zhao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling.

William Han, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Ding Zhao

CoRR, 2024

Evaluating Durability: Benchmark Insights into Multimodal Watermarking.

Jielin Qiu, William Han, Xuandong Zhao, Shangbang Long, Christos Faloutsos, Lei Li

CoRR, 2024

Entity6K: A Large Open-Domain Evaluation Dataset for Real-World Entity Recognition.

Jielin Qiu, William Han, Winfred Wang, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Christos Faloutsos, Lei Li, Lijuan Wang

CoRR, 2024

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.

Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo

CoRR, 2024

Interpretation of Intracardiac Electrograms Through Textual Representations.

William Jongwon Han, Diana Gómez, Avi Alok, Chaojing Duan, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao

CoRR, 2024

Embodied Executable Policy Learning with Language-based Scene Summarization.

Jielin Qiu, Mengdi Xu, William Han, Seungwhan Moon, Ding Zhao

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos.

Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Ding Zhao, Bo Li, Lijuan Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Interpretation of Intracardiac Electrograms Through Textual Representations.

William Han, Diana Guadalupe Gomez, Avi Alok, Chaojing Duan, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao

Proceedings of the Conference on Health, 2024

2023

MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos.

Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Bo Li, Ding Zhao, Lijuan Wang

CoRR, 2023

Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding.

Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao

CoRR, 2023

Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report.

Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao

Proceedings of the Machine Learning for Health, 2023

Can Brain Signals Reveal Inner Alignment with Human Languages?

Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?

Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram.

William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao

CoRR, 2022