An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram. - William Han; Jielin Qiu; Jiacheng Zhu; Mengdi Xu; Douglas Weber; Bo Li 026; Ding Zhao (CoRR, 2022)

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 (EACL (Findings), 2023)

Can Brain Signals Reveal Inner Alignment with Human Languages? - Jielin Qiu; William Han; Jiacheng Zhu; Mengdi Xu; Douglas Weber; Bo Li 026; Ding Zhao (EMNLP (Findings), 2023)

Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report. - Jielin Qiu; Jiacheng Zhu; Shiqi Liu 005; William Han; Jingqi Zhang; Chaojing Duan; Michael A. Rosenberg; Emerson Liu; Douglas Weber; Ding Zhao (ML4H@NeurIPS, 2023)

Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding. - Jielin Qiu; Jiacheng Zhu; Shiqi Liu 005; William Han; Jingqi Zhang; Chaojing Duan; Michael A. Rosenberg; Emerson Liu; Douglas Weber; Ding Zhao (CoRR, 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 026; Ding Zhao; Lijuan Wang (CoRR, 2023)

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 (CHIL, 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 026; Lijuan Wang (CVPR, 2024)

Embodied Executable Policy Learning with Language-based Scene Summarization. - Jielin Qiu; Mengdi Xu; William Han; Seungwhan Moon; Ding Zhao (NAACL-HLT, 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)

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 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (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 005; Lijuan Wang (CoRR, 2024)

Evaluating Durability: Benchmark Insights into Multimodal Watermarking. - Jielin Qiu; William Han; Xuandong Zhao; Shangbang Long; Christos Faloutsos; Lei Li 005 (CoRR, 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)

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 001; Ding Zhao (ACL (Findings), 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 (ACL (Findings), 2025)

Feature-EndoGaussian: Feature Distilled Gaussian Splatting in Surgical Deformable Scene Reconstruction. - Kai Li; Junhao Wang; William Han; Ding Zhao (CoRR, 2025)

Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications. - Xilun Zhang; Shiqi Liu 005; Peide Huang; William Jongwon Han; Yiqi Lyu; Mengdi Xu; Ding Zhao (IEEE Robotics Autom. Lett., 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, 2025)

Behavior Injection: Preparing Language Models for Reinforcement Learning. - Zhepeng Cen; Yihang Yao; William Han; Zuxin Liu; Ding Zhao (CoRR, 2025)