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Your search keyword '"Li, Guoxuan"' showing total 179 results
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179 results on '"Li, Guoxuan"'

10. CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

Author

Dong, Zhiwei, Li, Guoxuan, Liao, Yue, Wang, Fei, Ren, Pengju, and Qian, Chen

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Keypoint-based detectors have achieved pretty-well performance. However, incorrect keypoint matching is still widespread and greatly affects the performance of the detector. In this paper, we propose CentripetalNet which uses centripetal shift to pair corner keypoints from the same instance. CentripetalNet predicts the position and the centripetal shift of the corner points and matches corners whose shifted results are aligned. Combining position information, our approach matches corner points more accurately than the conventional embedding approaches do. Corner pooling extracts information inside the bounding boxes onto the border. To make this information more aware at the corners, we design a cross-star deformable convolution network to conduct feature adaption. Furthermore, we explore instance segmentation on anchor-free detectors by equipping our CentripetalNet with a mask prediction module. On MS-COCO test-dev, our CentripetalNet not only outperforms all existing anchor-free detectors with an AP of 48.0% but also achieves comparable performance to the state-of-the-art instance segmentation approaches with a 40.2% MaskAP. Code will be available at https://github.com/KiveeDong/CentripetalNet., Comment: Accepted by CVPR2020

Published
2020

28. Solute structure effect on polycyclic aromatics separation from fuel oil: Molecular mechanism and experimental insights.

Author

Liu, Qinghua, Zhu, Ruisong, Zhao, Fei, Song, Minghao, Gui, Chengmin, Yang, Shengchao, Lei, Zhigang, and Li, Guoxuan

Subjects
PETROLEUM as fuel, MOLECULAR dynamics, QUANTUM chemistry, AROMATIC compounds, QUANTUM theory
Abstract

Ionic liquids (ILs) are promising solvents for separating aromatics from fuel oils. However, studies for separate polycyclic aromatics with ILs are rare and insufficient, and the impact of solute structure on extraction performance still needs to be determined. In this work, we use 1‐ethyl‐3‐methylimidazolium bis([trifluoromethyl]sulfonyl)imide ([EMIM][NTF2]) as an extractant to separate 1‐methylnaphthalene, quinoline, and benzothiophene from dodecane mixtures. Liquid–liquid equilibrium experiments identified the optimal operating conditions. Nine solute molecules, including five alkanes and four aromatic hydrocarbons, were used to study the relationship between extraction performance and solute structure. Molecular dynamics simulation and quantum chemistry calculations gave a deep insight and reasonable interpretation of the structure‐performance relationship at the molecular level. An industrial‐scale extraction process was proposed. The IL can be easily regenerated using heptane as a back‐extractive solvent. A high‐purity fuel oil with aromatic content below 0.5 wt% is obtained after 8‐stage extraction. [ABSTRACT FROM AUTHOR]

Published
2024
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40. Phase behavior of sodium and potassium salts in their aqueous solutions: Experiment and computational thermodynamics.

Author

Kang, Hongwei, Li, Guoxuan, and Lei, Zhigang

Subjects
SALTWATER solutions, POTASSIUM salts, SODIUM salts, THERMODYNAMICS, MOLECULAR dynamics, ELECTRICAL conductors
Abstract

With the rapid development of the semiconductor industry, the demand for ultraclean and high‐purity electronic chemicals, especially ultrapure water as a general solvent for cleaning semiconductor chips, has increased dramatically. The distillation process is a good choice for large‐scale production of ultrapure water that can be used to clean semiconductor chips, but there is a lack of basic thermodynamic theory for removing ionic impurities. In this work, the temperature and vapor–liquid phase composition of sodium and potassium salts aqueous solutions at vapor–liquid equilibrium (VLE) were investigated by experiments. The microstructure of each inorganic salt aqueous solution was explored by molecular dynamics simulation and quantum chemical calculation, and the interaction between each ion and water molecule was analyzed. A volatilization mechanism of inorganic salts was proposed, and it was found that the volatilization of inorganic salts in an aqueous solution was affected by the strength of interaction between the dissociated anions and cations and water molecules. Finally, the conductor‐like screening model segment activity coefficient (COSMO‐SAC) model predicted the VLE values of inorganic salt aqueous solutions. The prediction at low concentrations (xs < 0.06) was in good agreement with the experimental data. [ABSTRACT FROM AUTHOR]

Published
2024
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