Author

Penglong Jiao

Observed names: Jiao, Penglong, 焦鹏龙

Institution: Shanghai Artificial Intelligence Laboratory

Observed institutions: Chinese University of Hong Kong, Fudan University, Shanghai Artificial Intelligence Laboratory

OpenAlex ID: A5111156072

Developing unbiased estimation of atmospheric methane via machine learning and multiobjective programming based on TROPOMI and GOSAT data

2024 · Ke Li, Kaixu Bai, et al. · Remote Sensing of Environment · 31

InternLM2 Technical Report

2024 · Cai, Zheng, Cao, Maosong, et al. · arXiv (Cornell University) · 29

SSRMF: A sparse spectral reconstruction enhanced matched filter for improving point-source methane emission detection in complex terrain

2025 · Ke Li, Kaixu Bai, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 13

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

2025 · Zhu, Jinguo, Wang, Weiyun, et al. · arXiv (Cornell University) · 12

SCAGAT: A scene-aware ensemble graph attention network for global PM2.5 pollution mapping via land–atmosphere interactions

2025 · Kaixu Bai, Ke Li, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 6

CH4Vision: Machine Learning Estimation of Methane Flux with GaoFen-5 Hyperspectral Imagery

2026 · Ke Li, Penglong Jiao, et al. · Journal of Remote Sensing

基于npp/viirs夜间灯光遥感数据估算上海地区pm 2.5 浓度

2019 · 李珂, Ke Li, et al.

Works count: 7

Citation count: 91

H-index: 5

I10-index: 4