Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning. - Yuelyu Ji; Yuhe Gao; Runxue Bao; Qi Li; Disheng Liu; Yiming Sun 004; Ye Ye 002 (ICHI, 2023)

Learning Multimodal Cues of Children's Uncertainty. - Qi Cheng; Mert Inan; Rahma Mbarki; Grace Grmek; Theresa Choi; Yiming Sun 004; Kimele Persaud; Jenny Wang; Malihe Alikhani (SIGDIAL, 2023)

A Survey of Heterogeneous Transfer Learning. - Runxue Bao; Yiming Sun 004; Yuhe Gao; Jindong Wang 001; Qiang Yang 001; Haifeng Chen; Zhi-Hong Mao; Ye Ye 002 (CoRR, 2023)

Online Transfer Learning for RSV Case Detection. - Yiming Sun 004; Yuhe Gao; Runxue Bao; Gregory F. Cooper; Jessi Espino; Harry Hochheiser; Marian G. Michaels; John M. Aronis; Chenxi Song; Ye Ye 002 (ICHI, 2024)

Online Transfer Learning for RSV Case Detection. - Yiming Sun 004; Yuhe Gao; Runxue Bao; Gregory F. Cooper; Jessi Espino; Harry Hochheiser; Marian G. Michaels; John M. Aronis; Ye Ye 002 (CoRR, 2024)

Transfer Learning with Clinical Concept Embeddings from Large Language Models. - Yuhe Gao; Runxue Bao; Yuelyu Ji; Yiming Sun 004; Chenxi Song; Jeffrey P. Ferraro; Ye Ye 002 (CoRR, 2024)

Multi-Scale Graph Learning for Anti-Sparse Downscaling. - Yingda Fan; Runlong Yu; Janet R. Barclay; Alison P. Appling; Yiming Sun 004; Yiqun Xie; Xiaowei Jia (AAAI, 2025)

Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems. - Yiming Sun 004; Runlong Yu; Runxue Bao; Yiqun Xie; Ye Ye 002; Xiaowei Jia (SDM, 2025)

Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models. - Xumeng Wen; Shun Zheng 001; Zhen Xu; Yiming Sun 004; Jiang Bian 002 (CoRR, 2025)

X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI. - Yiming Sun 004; Shuo Chen; Shengyu Chen; Chonghao Qiu; Licheng Liu; Youmi Oh; Sparkle L. Malone; Gavin McNicol; Qianlai Zhuang; Chris Smith; Yiqun Xie; Xiaowei Jia (CoRR, 2025)