Yiming Sun

16 papers A* 1A 1B 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Retrieval-Augmented Multi-scale Framework for County-Level Crop Yield Prediction Across Large Regions.
CoRR
Yiming Sun, Qi Cheng, Licheng Liu, Runlong Yu, Yiqun Xie, Xiaowei Jia
2026 J jnl
Role-Aware Conditional Inference for Spatiotemporal Ecosystem Carbon Flux Prediction.
CoRR
Yiming Sun, Runlong Yu, Rongchao Dong, Shuo Chen, Licheng Liu, Youmi Oh, Qianlai Zhuang, Yiqun Xie, Xiaowei Jia
2026 — conf
X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI.
KDD (1)
Yiming Sun, Shuo Chen, Shengyu Chen, Chonghao Qiu, Licheng Liu, Youmi Oh, Sparkle L. Malone, Gavin McNicol, Qianlai Zhuang, Chris Smith, Yiqun Xie, Xiaowei Jia
2025 A conf
Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems.
SDM
Yiming Sun, Runlong Yu, Runxue Bao, Yiqun Xie, Ye Ye, Xiaowei Jia
2025 A* conf
Multi-Scale Graph Learning for Anti-Sparse Downscaling.
AAAI
Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia
2025 J jnl
Multi-Scale Graph Learning for Anti-Sparse Downscaling.
CoRR
Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia
2025 J jnl
Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models.
CoRR
Xumeng Wen, Shun Zheng, Zhen Xu, Yiming Sun, Jiang Bian
2025 J jnl
X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI.
CoRR
Yiming Sun, Shuo Chen, Shengyu Chen, Chonghao Qiu, Licheng Liu, Youmi Oh, Sparkle L. Malone, Gavin McNicol, Qianlai Zhuang, Chris Smith, Yiqun Xie, Xiaowei Jia
2024 J jnl
Learning Multimodal Cues of Children's Uncertainty.
CoRR
Qi Cheng, Mert Inan, Rahma Mbarki, Grace Grmek, Theresa Choi, Yiming Sun, Kimele Persaud, Jenny Wang, Malihe Alikhani
2024 — conf
Online Transfer Learning for RSV Case Detection.
ICHI
Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F. Cooper, Jessi Espino, Harry Hochheiser, Marian G. Michaels, John M. Aronis, Chenxi Song, Ye Ye
2024 J jnl
Online Transfer Learning for RSV Case Detection.
CoRR
Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F. Cooper, Jessi Espino, Harry Hochheiser, Marian G. Michaels, John M. Aronis, Ye Ye
2024 J jnl
Transfer Learning with Clinical Concept Embeddings from Large Language Models.
CoRR
Yuhe Gao, Runxue Bao, Yuelyu Ji, Yiming Sun, Chenxi Song, Jeffrey P. Ferraro, Ye Ye
2023 J jnl
A Survey of Heterogeneous Transfer Learning.
CoRR
Runxue Bao, Yiming Sun, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye
2023 B conf
Learning Multimodal Cues of Children's Uncertainty.
SIGDIAL
Qi Cheng, Mert Inan, Rahma Mbarki, Grace Grmek, Theresa Choi, Yiming Sun, Kimele Persaud, Jenny Wang, Malihe Alikhani
2023 — conf
Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning.
ICHI
Yuelyu Ji, Yuhe Gao, Runxue Bao, Qi Li, Disheng Liu, Yiming Sun, Ye Ye
2023 J jnl
Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning.
CoRR
Yuelyu Ji, Yuhe Gao, Runxue Bao, Qi Li, Disheng Liu, Yiming Sun, Ye Ye