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20212024
most citedMolecular distance matrix prediction based on graph convolutional networks

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-learning

Zhuyang Xie, Yan Yang, Yankai Yu +3

Dense video captioning aims to detect and describe all events in untrimmed videos. This paper presents a dense video captioning network called Multi-Concept Cyclic Learning (MCCL),…

cond-mat.supr-con2022★ 1 cited

Prediction of superconducting properties of materials based on machine learning models

Jie Hu, Yongquan Jiang, Yang Yan +1

The application of superconducting materials is becoming more and more widespread. Traditionally, the discovery of new superconducting materials relies on the experience of experts…

cond-mat.mtrl-sci2022

Hardness prediction of age-hardening aluminum alloy based on ensemble learning

Houchen Zuo, Yongquan Jiang, Yan Yang +2

With the rapid development of artificial intelligence, the combination of material database and machine learning has driven the progress of material informatics. Because aluminum a…

cond-mat.mtrl-sci2021★ 1 cited

Prediction of properties of metal alloy materials based on machine learning

Houchen Zuo, Yongquan Jiang, Yan Yang +1

Density functional theory and its optimization algorithm are the main methods to calculate the properties in the field of materials. Although the calculation results are accurate,…

physics.chem-ph2021★ 4 cited

Molecular distance matrix prediction based on graph convolutional networks

Xiaohui Lin, Yongquan Jiang, Yan Yang

Molecular structure has important applications in many fields. For example, some studies show that molecular spatial information can be used to achieve better prediction results wh…