Sparse Winograd Convolutional Neural Networks on Small-scale Systolic Arrays. - Feng Shi 006; Haochen Li; Yuhe Gao; Benjamin Kuschner; Song-Chun Zhu (FPGA, 2019)

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)

Deep Spectral Q-learning with Application to Mobile Health. - Yuhe Gao; Chengchun Shi; Rui Song 006 (CoRR, 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)

Large Language Model for Causal Decision Making. - Haitao Jiang; Lin Ge; Yuhe Gao; Jianian Wang; Rui Song 006 (CoRR, 2023)

Monitoring of Winter Wheat Leaf Age Based on Remote Sensing and ECMWF Reanalysis Data. - Yuhe Gao; Fangzhao Zhang; Ruixuan Liu; Jibo Zhang; Zixun Liu; Zhenhai Li (DTPI, 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; 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)

A Review of Reinforcement Learning in Financial Applications. - Yahui Bai; Yuhe Gao; Runzhe Wan; Sheng Zhang 027; Rui Song 006 (CoRR, 2024)

A Method of Image Restoration for Distortion of Object in Water-Air Cross-Media. - Yuhe Gao; Jishen Jia; Lei Cai; Meng Zhou; Haojie Chai; Jinze Jia (Int. J. Distributed Sens. Networks, 2024)