李琴｜成都大学｜学者主页

期刊论文

2025

Experiences of help-seeking among adolescents with depression: a qualitative systematic review protocol

Li Qin, Xiaobo Yu, Patraporn Bhatarosakoon

Jbi Evidence Synthesis，Vol. 23, No. 9

DOI

2011

鞭毛蛋白与IL-12协同诱导人NK细胞产生IFN-γ机制的探讨

李琴，刘昀，吴长有

《中国免疫学杂志》

2010

噬菌体技术筛选广谱炎症相关趋化因子抑制剂先导物

李琴，孙晗笑，李秀英，莫雪梅，张光

《免疫学杂志》

2010

变形链球菌细胞壁对EAhy926细胞TLR4、IL-6和IL-8表达的影响

李琴，王一松，郑群，赵志鹏，平国玲，张力平

《微生物学报》

2010

结核性胸水中PPD特异性多功能效应型记忆T细胞表型和功能研究

乔丹，李丽，李琴，劳穗华，张贤兰，吴长有

《中国免疫学杂志》

2010

变形链球菌培养上清对EAhy926细胞增殖活性和TLR4表达的影响

李琴，王一松，平国玲，张力平

《中国病原生物学杂志》

2009

链球菌蛋白对RAW264.7小鼠巨噬细胞免疫学活性的调节作用

王艳，李琴，王一松，陈辉，郑群，平国玲，张力平

《细胞与分子免疫学杂志》

2009

慢性乙型肝炎病毒感染者外周血单个核细胞特异产生γ-干扰素的研究

周晖，李琴，吴长有，江楚文，陈学福

《实用医学杂志》

2009

环孢素A对白色念珠菌诱导产生IL-17的抑制作用

权志博，刘昀，李琴，乔丹，吴长有

《中国免疫学杂志》

会议论文

2009

慢性乙肝病毒感染者外周血单个核细胞特异产生IFN-γ研究

周晖，李琴，吴长有，江楚文

《中华医学会第八次全国检验医学学术会议暨中华医学会检验分会成立30周年庆典大会资料汇编》

2008

轻型链球菌对EAHY926细胞Toll样受体表达及IL-6产生的影响

王一松，曹宁，李琴，平国玲，张力平

《2008年中国微生物学会学术年会》

预印本

2026

Super-Resolution of Solar Magnetograms via Adaptive Stratified Ensemble Learning with Uncertainty Estimation

Sina Norouzi Kandalan, Haodi Jiang, Jason T. L. Wang, Qin Li

arXiv preprint

2026

Reconstructing Synthetic SDO/AIA 193 A EUV Images from He I 10830 A Observations with Diffusion Model Translator

Marco Marena, Qin Li, Haimin Wang, Haodi Jiang, Prajwal Shah, Bo Shen

arXiv preprint

2026

Toward Operational Solar Flare Peak Flux Nowcasting: A Strategy Combining Real-Time Data, Machine Learning, and NOAA Flare Detection Criteria

Kangwoo Yi, Qin Li, Haodi Jiang, Meiqi Wang, Haimin Wang, Bo Shen

arXiv preprint

2026

Physics-Informed Neural Networks for Fast Multilayer Spectral Inversion of Hα 6562.8 A and Ca II 8542.1 A Spectra

Ziyang Zhang, Qin Li, Vasyl B. Yurchyshyn, Kangwoo Yi, Haimin Wang, Wenda Cao, Bo Shen

arXiv preprint

2026

Cross-Modal Solar Image Synthesis: Adapting the Surya Foundation Model from He I 10830 Å to EUV Translation and Coronal Hole Segmentation

Marco Marena, Andrés Muñoz Jaramillo, Qin Li, Haodi Jiang, Jinghao Cao, Wen He, Ziyang Zhang, Chenxi Yuan, Chao Wang, Haimin Wang, Bo Shen

arXiv preprint

2025

MVPinn: Integrating Milne-Eddington Inversion with Physics-Informed Neural Networks for GST/NIRIS Observations

Qin Li, Bo Shen, Haodi Jiang, Vasyl B. Yurchyshyn, Taylor Baildon, Kangwoo Yi, Wenda Cao, Haimin Wang

arXiv preprint

2025

Improving the Spatial Resolution of GONG Solar Images to GST Quality Using Deep Learning

Chenyang Li, Qin Li, Haimin Wang, Bo Shen

arXiv preprint

2025

Reconstruction of Solar EUV Irradiance Using CaII K Images and SOHO/SEM Data with Bayesian Deep Learning and Uncertainty Quantification

Haodi Jiang, Qin Li, Jason T. L. Wang, Haimin Wang, Serena Criscuoli

arXiv preprint

2025

Comparing LSTM-Based Sequence-to-Sequence Forecasting Strategies for 24-Hour Solar Proton Flux Profiles Using GOES Data

Kangwoo Yi, Bo Shen, Qin Li, Haimin Wang, Yong-Jae Moon, Jaewon Lee, Hwanhee Lee

arXiv preprint

2025

Solar Alfvenic Pulses and Mesoscale Solar Wind

Jeongwoo Lee, Manolis K. Georgoulis, Rahul Sharma, Nour E. Raouafi, Qin Li, Haimin Wang

arXiv preprint

DOI

2025

Physics-informed Attention-enhanced Fourier Neural Operator for Solar Magnetic Field Extrapolations

Jinghao Cao, Qin Li, Mengnan Du, Haimin Wang, Bo Shen

arXiv preprint

2024

Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges

Bo Shen, Marco Marena, Chenyang Li, Qin Li, Haodi Jiang, Mengnan Du, Jiajun Xu, Haimin Wang

arXiv preprint

2024

Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network

Chunhui Xu, Jason T. L. Wang, Haimin Wang, Haodi Jiang, Qin Li, Yasser Abduallah, Yan Xu

arXiv preprint

2024

Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model

Yutao Du, Qin Li, Raghav Gnanasambandam, Mengnan Du, Haimin Wang, Bo Shen

arXiv preprint

2022

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network

Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang

arXiv preprint

DOI

2022

Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine Learning Methods

Hewei Zhang, Qin Li, Yanxing Yang, Ju Jing, Jason T. L. Wang, Haimin Wang, Zuofeng Shang

arXiv preprint

DOI

2022

Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks

Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang

arXiv preprint

DOI

2022

A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data

Haodi Jiang, Qin Li, Zhihang Hu, Nian Liu, Yasser Abduallah, Ju Jing, Genwei Zhang, Yan Xu, Wynne Hsu, Jason T. L. Wang, Haimin Wang

arXiv preprint

DOI

2021

Tracing Halpha Fibrils through Bayesian Deep Learning

Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang

arXiv preprint

DOI

2020

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations

Gelu Nita, Manolis Georgoulis, Irina Kitiashvili, Viacheslav Sadykov, Enrico Camporeale, Alexander Kosovichev, Haimin Wang, Vincent Oria, Jason Wang, Rafal Angryk, Berkay Aydin, Azim Ahmadzadeh, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus Martens, Ryan McGranaghan, Edward Semones, John Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu

arXiv preprint

精选作品

期刊论文

Experiences of help-seeking among adolescents with depression: a qualitative systematic review protocol

鞭毛蛋白与IL-12协同诱导人NK细胞产生IFN-γ机制的探讨

噬菌体技术筛选广谱炎症相关趋化因子抑制剂先导物

变形链球菌细胞壁对EAhy926细胞TLR4、IL-6和IL-8表达的影响

结核性胸水中PPD特异性多功能效应型记忆T细胞表型和功能研究

变形链球菌培养上清对EAhy926细胞增殖活性和TLR4表达的影响

链球菌蛋白对RAW264.7小鼠巨噬细胞免疫学活性的调节作用

慢性乙型肝炎病毒感染者外周血单个核细胞特异产生γ-干扰素的研究

环孢素A对白色念珠菌诱导产生IL-17的抑制作用

会议论文

慢性乙肝病毒感染者外周血单个核细胞特异产生IFN-γ研究

轻型链球菌对EAHY926细胞Toll样受体表达及IL-6产生的影响

预印本

Super-Resolution of Solar Magnetograms via Adaptive Stratified Ensemble Learning with Uncertainty Estimation

Reconstructing Synthetic SDO/AIA 193 A EUV Images from He I 10830 A Observations with Diffusion Model Translator

Toward Operational Solar Flare Peak Flux Nowcasting: A Strategy Combining Real-Time Data, Machine Learning, and NOAA Flare Detection Criteria

Physics-Informed Neural Networks for Fast Multilayer Spectral Inversion of Hα 6562.8 A and Ca II 8542.1 A Spectra

Cross-Modal Solar Image Synthesis: Adapting the Surya Foundation Model from He I 10830 Å to EUV Translation and Coronal Hole Segmentation

MVPinn: Integrating Milne-Eddington Inversion with Physics-Informed Neural Networks for GST/NIRIS Observations

Improving the Spatial Resolution of GONG Solar Images to GST Quality Using Deep Learning

Reconstruction of Solar EUV Irradiance Using CaII K Images and SOHO/SEM Data with Bayesian Deep Learning and Uncertainty Quantification

Comparing LSTM-Based Sequence-to-Sequence Forecasting Strategies for 24-Hour Solar Proton Flux Profiles Using GOES Data

Solar Alfvenic Pulses and Mesoscale Solar Wind

Physics-informed Attention-enhanced Fourier Neural Operator for Solar Magnetic Field Extrapolations

Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges

Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network

Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network

Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine Learning Methods

Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks

A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data

Tracing Halpha Fibrils through Bayesian Deep Learning

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations