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1,628 results on '"Liu, Hongfei"'

5. Elimination of the confrontation between theory and experiment in flexoelectric Bi2GeO5

Author

Cao, Yuying, Zhang, Xulong, Zhou, Long, Liu, Hongfei, Gao, Hua, Zheng, Fu, and Ma, Zhi

Subjects
Condensed Matter - Materials Science, Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Other Condensed Matter
Abstract

In this paper, we have investigated the flexoelectric effect of Bi2GeO5(BGO), successfully predicted the maximum flexoelectric coefficient of BGO, and tried to explore the difference between experimental and simulated flexoelectric coefficients., Comment: 15 pages,6 figures

Published
2023

11. Document-level Relation Extraction with Cross-sentence Reasoning Graph

Author

Liu, Hongfei, Kang, Zhao, Zhang, Lizong, Tian, Ling, and Hua, Fujun

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Social and Information Networks
Abstract

Relation extraction (RE) has recently moved from the sentence-level to document-level, which requires aggregating document information and using entities and mentions for reasoning. Existing works put entity nodes and mention nodes with similar representations in a document-level graph, whose complex edges may incur redundant information. Furthermore, existing studies only focus on entity-level reasoning paths without considering global interactions among entities cross-sentence. To these ends, we propose a novel document-level RE model with a GRaph information Aggregation and Cross-sentence Reasoning network (GRACR). Specifically, a simplified document-level graph is constructed to model the semantic information of all mentions and sentences in a document, and an entity-level graph is designed to explore relations of long-distance cross-sentence entity pairs. Experimental results show that GRACR achieves excellent performance on two public datasets of document-level RE. It is especially effective in extracting potential relations of cross-sentence entity pairs. Our code is available at https://github.com/UESTC-LHF/GRACR., Comment: This paper is accepted by PAKDD 2023

Published
2023

12. Effect of brackish water irrigation on photosynthesis of winter jujube

Author

CONG Xin, WANG Tong, PANG Guibin, XU Lirong, XU Zhenghe, LIU Hongfei, and ZHEN Yuyue

Subjects
winter jujube, brackish water, photosynthesis, fitting, Agriculture (General), S1-972, Irrigation engineering. Reclamation of wasteland. Drainage, TC801-978
Abstract

【Objective】 Brackish waters including saline groundwater and treated wastewater have been increasingly used as a complimentary irrigation water resource in regions where freshwater is scarce. In the paper we investigate the effect of various concentrations of saltine irrigation water on photosynthetic characteristics of winter jujube. 【Method】 The experiment was conducted in 2020 in a jujube orchard, with the winter jujubes irrigated by mixtures of saltine groundwater and freshwater at concentrations of 1 (S1), 2 (S2), 3 (S3), 4 (S4) and 5 g/L (S5), respectively. In each treatment, we measured the spaciotemporal changes in soil water and salt, as well as the photosynthetic traits of the jujubes. 【Result】 Net photosynthetic rate, transpiration and stomatal conductance of the plant leaves varied with irrigation salinity nonlinearly, all peaking in S3 or S4. Compared with other treatments, S3 and S4 reduced the SPAD, maximum fluorescence and maximum quantum efficiency significantly. Compared to S1, S3 and S4 increased the apparent quantum efficiency, maximum net photosynthetic rate, light compensation point, and dark respiration rate, but reduced the light saturation point. These indicate that, although S3 and S4 reduced the range of available light intensity, they improved the physiological activity and efficient photosynthesis of the jujube leaves. 【Conclusion】 Irrigating the winter jujubes with saline water at concentration of 1-3 g/L during the fruit enlargement period can prevent light reaction inhibition and promote efficient photosynthesis. However, irrigation with water salinity exceeding 4 g/L led to salinity stress, thereby significantly reducing light energy utilization efficiency. To minimize soil salt accumulation and improve growth and development of the winter jujube, maintaining irrigation water salinity around 3 g/L is most beneficial.

Published
2024
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14. Surface Engineering and Protective Coating Towards Advanced Manufacturing and Remanufacturing Applications

Author

Liu, Hongfei, Meng, Tzee Luai, Gong, Na, Chan, Wai Luen, Karyappa, Rahul, Wei, Yuefan, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A.M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Maharjan, Niroj, editor, and He, Wei, editor

Published
2024
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15. On Porosity and Its Mitigation and Closure in Additively Manufactured Alloys

Author

Meng, Tzee Luai, Gong, Na, Chan, Wai Luen, Karyappa, Rahul, Wei, Yuefan, Cheng, Henry Kuo Feng, Liu, Hongfei, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A.M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Maharjan, Niroj, editor, and He, Wei, editor

Published
2024
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17. Estimation of Solar Observations with the Five-hundred-meter Aperture Spherical Radio Telescope (FAST)

Author

Qian, Lei, Pan, Zhichen, Liu, Hongfei, Gan, Hengqian, Yu, Jinglong, Zhao, Lei, Lu, Jiguang, Sun, Cun, Yan, Jingye, and Jiang, Peng

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Solar and Stellar Astrophysics
Abstract

We present the estimation of the solar observation with the Five-hundred-meter Aperture Spherical radio Telescope (FAST). For both the quite Sun and the Sun with radio bursts, when pointing directly to the Sun, the total power received by FAST would be out of the safe operational range of the signal chain, even resulting in the damage to the receiver. As a conclusion, the Sun should be kept at least $\sim 2^{\circ}$ away from the main beam during the observing at $\sim 1.25 {\ \rm GHz}$. The separation for lower frequency should be larger. For simplicity, the angular separation between the FAST beam and the Sun is suggested to be $\sim 5^{\circ}$ for observations on 200 MHz or higher bands., Comment: 5 pages, 2 figures. Accepted by RAA

Published
2022
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19. Research advances on the association between human milk oligosaccharides and infant health

Author

JIANG Yikang, DONG Ling, LIU Hongfei, PAN Lina, HU Yibo, PENG Xiyang, KANG Wenli, PENG Xiaoyu, WANG Jiaqi, and LI Wei

Subjects
human milk, oligosaccharides, intestinal health, immune, brain development, infant formula, Food processing and manufacture, TP368-456
Abstract

Human milk oligosaccharides （HMOs） are a group of complex glycans in human milk and play an important role in promoting the growth and development of infants, and more than 200 kinds of HMOs have been identified so far. In this paper, the types and structures of HMOs and their roles in improving infant intestinal health, promoting immune system development and brain development were reviewed. The application status of HMOs was summarized, the possibility and necessity of industrial production and application of HMOs in the future were prospected.

Published
2024
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46. Self-paced Principal Component Analysis

Author

Kang, Zhao, Liu, Hongfei, Li, Jiangxin, Zhu, Xiaofeng, and Tian, Ling

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning
Abstract

Principal Component Analysis (PCA) has been widely used for dimensionality reduction and feature extraction. Robust PCA (RPCA), under different robust distance metrics, such as l1-norm and l2, p-norm, can deal with noise or outliers to some extent. However, real-world data may display structures that can not be fully captured by these simple functions. In addition, existing methods treat complex and simple samples equally. By contrast, a learning pattern typically adopted by human beings is to learn from simple to complex and less to more. Based on this principle, we propose a novel method called Self-paced PCA (SPCA) to further reduce the effect of noise and outliers. Notably, the complexity of each sample is calculated at the beginning of each iteration in order to integrate samples from simple to more complex into training. Based on an alternating optimization, SPCA finds an optimal projection matrix and filters out outliers iteratively. Theoretical analysis is presented to show the rationality of SPCA. Extensive experiments on popular data sets demonstrate that the proposed method can improve the state of-the-art results considerably.

Published
2021

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