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Shunpeng Pang

Showing results (1-10 of 9) with videos related to

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Scientific Reports|April 9, 2026
High-precision automated grading of flue-cured tobacco leaves based on hierarchical feature fusionShunpeng Pang, Xiaowei Xin, Wei Ge, et al.
Peerj|December 15, 2023
A deep learning method for drug-target affinity prediction based on sequence interaction information miningMingjian Jiang, Yunchang Shao, Yuanyuan Zhang, et al.
Scientific Reports|July 10, 2023
Intelligent large-scale flue-cured tobacco grading based on deep densely convolutional networkXiaowei Xin, Huili Gong, Ruotong Hu, et al.
Journal of Chemical Information and Modeling|April 22, 2025
SeqMG-RPI: A Sequence-Based Framework Integrating Multi-Scale RNA Features and Protein Graphs for RNA-Protein Interaction PredictionTeng Ma, Mingjian Jiang, Shunpeng Pang, et al.
Optics Express|March 5, 2024
Combination of near-infrared spectroscopy with Wasserstein generative adversarial networks for rapidly detecting raw material quality for formula productsXiaowei Xin, Junhua Jia, Shunpeng Pang, et al.
Biomimetics (Basel, Switzerland)|August 25, 2023
Deep Learning in the Ubiquitous Human-Computer Interactive 6G Era: Applications, Principles and ProspectsChunlei Chen, Huixiang Zhang, Jinkui Hou, et al.
Briefings in Bioinformatics|October 1, 2025
Dual-protein embedding-based graph model with dynamic attention for interaction predictionShunpeng Pang, Mingjian Jiang, Shugang Zhang, et al.
Journal of Chemical Information and Modeling|September 17, 2025
ProtGeoNet-Pocket: A Binding Site Prediction Approach Integrating Sequence, Geometry, and Graph StructureMingjian Jiang, Zhi Zhang, Teng Ma, et al.
BMC Biology|March 31, 2026
A novel method for drug-target affinity prediction by integrating predicted evolutionary information and multi-scale protein graphsMingjian Jiang, Huaibin Hang, Zihao Cui, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Scientific Reports|April 9, 2026
High-precision automated grading of flue-cured tobacco leaves based on hierarchical feature fusionShunpeng Pang, Xiaowei Xin, Wei Ge, et al.
Peerj|December 15, 2023
A deep learning method for drug-target affinity prediction based on sequence interaction information miningMingjian Jiang, Yunchang Shao, Yuanyuan Zhang, et al.
Scientific Reports|July 10, 2023
Intelligent large-scale flue-cured tobacco grading based on deep densely convolutional networkXiaowei Xin, Huili Gong, Ruotong Hu, et al.
Journal of Chemical Information and Modeling|April 22, 2025
SeqMG-RPI: A Sequence-Based Framework Integrating Multi-Scale RNA Features and Protein Graphs for RNA-Protein Interaction PredictionTeng Ma, Mingjian Jiang, Shunpeng Pang, et al.
Optics Express|March 5, 2024
Combination of near-infrared spectroscopy with Wasserstein generative adversarial networks for rapidly detecting raw material quality for formula productsXiaowei Xin, Junhua Jia, Shunpeng Pang, et al.
Biomimetics (Basel, Switzerland)|August 25, 2023
Deep Learning in the Ubiquitous Human-Computer Interactive 6G Era: Applications, Principles and ProspectsChunlei Chen, Huixiang Zhang, Jinkui Hou, et al.
Briefings in Bioinformatics|October 1, 2025
Dual-protein embedding-based graph model with dynamic attention for interaction predictionShunpeng Pang, Mingjian Jiang, Shugang Zhang, et al.
Journal of Chemical Information and Modeling|September 17, 2025
ProtGeoNet-Pocket: A Binding Site Prediction Approach Integrating Sequence, Geometry, and Graph StructureMingjian Jiang, Zhi Zhang, Teng Ma, et al.
BMC Biology|March 31, 2026
A novel method for drug-target affinity prediction by integrating predicted evolutionary information and multi-scale protein graphsMingjian Jiang, Huaibin Hang, Zihao Cui, et al.
Pageof 1