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4,096 results on '"Yang, Liping"'

58. RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce

Author

Yang, Liping, Niu, Xiaxia, and Wu, Jun

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

It is reported that the number of online payment users in China has reached 854 million; with the emergence of community e-commerce platforms, the trend of integration of e-commerce and social applications is increasingly intense. Community e-commerce is not a mature and sound comprehensive e-commerce with fewer categories and low brand value. To effectively retain community users and fully explore customer value has become an important challenge for community e-commerce operators. Given the above problems, this paper uses the data-driven method to study the prediction of community e-commerce customers' repurchase behaviour. The main research contents include 1. Given the complex problem of feature engineering, the classic model RFM in the field of customer relationship management is improved, and an improved model is proposed to describe the characteristics of customer buying behaviour, which includes five indicators. 2. In view of the imbalance of machine learning training samples in SMOTE-ENN, a training sample balance using SMOTE-ENN is proposed. The experimental results show that the machine learning model can be trained more effectively on balanced samples. 3. Aiming at the complexity of the parameter adjustment process, an automatic hyperparameter optimization method based on the TPE method was proposed. Compared with other methods, the model's prediction performance is improved, and the training time is reduced by more than 450%. 4. Aiming at the weak prediction ability of a single model, the soft voting based RF-LightgBM model was proposed. The experimental results show that the RF-LighTGBM model proposed in this paper can effectively predict customer repurchase behaviour, and the F1 value is 0.859, which is better than the single model and previous research results., Comment: 15 pages, 8 figures, 5 tables, 20 refences

Published
2021

59. Generic Newton polygons for $L$-functions of $(A,B)$-exponential sums

Author

Yang, Liping and Zhang, Hao

Subjects
Mathematics - Number Theory, 11T06, 11T23, 11S40
Abstract

In this paper, we consider the following $(A, B)$-polynomial $f$ over finite field: $$f(x_0,x_1,\cdots,x_n)=x_0^Ah(x_1,\cdots,x_n)+g(x_1,\cdots,x_n)+P_B(1/x_0),$$ where $h$ is a Deligne polynomial of degree $d$, $g$ is an arbitrary polynomial of degree $< dB/(A+B)$ and $P_B(y)$ is a one-variable polynomial of degree $\le B$. Let $\Delta$ be the Newton polyhedron of $f$ at infinity. We show that $\Delta$ is generically ordinary if $p\equiv 1 \mod D$, where $D$ is a constant only determined by $\Delta$. In other words, we prove that the Adolphson--Sperber conjecture is true for $\Delta$., Comment: 16 pages

Published
2021

60. Newton polygons for $L$-functions of generalized Kloosterman sums

Author

Wang, Chunlin and Yang, Liping

Subjects
Mathematics - Number Theory
Abstract

In this paper, we study the Newton polygons for the $L$-functions of $n$-variable generalized Kloosterman sums. Generally, the Newton polygon has a topological lower bound, called the Hodge polygon. In order to determine the Hodge polygon, we explicitly construct a basis of the top dimensional Dwork cohomology. Using Wan's decomposition theorem and diagonal local theory, we obtain when the Newton polygon coincides with the Hodge polygon. In particular, we concretely get the slope sequence for $L$-function of $\bar{F}(\bar{\lambda},x):=\sum_{i=1}^nx_i^{a_i}+\bar{\lambda}\prod_{i=1}^nx_i^{-1}$., Comment: 19 pages

Published
2021

82. Enhancing the HSV-1-mediated antitumor immune response by suppressing Bach1

Author

Pan, Chaohu, Cai, Qiaomei, Li, Xiaorong, Li, Lili, Yang, Liping, Chen, Yu, Liu, Junxiao, Liu, Wancheng, Gao, Meiling, Sui, Tianqi, Wang, Xiaoyang, Fan, Huiming, Ruan, Jiayin, Shi, Yueyue, Chen, Saihua, Cheng, Lucy S, Liu, Jiayong, Yang, Heng, and Cheng, Genhong

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Immunology, Sexually Transmitted Infections, Genetics, Infectious Diseases, Cancer, 2.1 Biological and endogenous factors, Aetiology, Animals, Basic-Leucine Zipper Transcription Factors, Herpesvirus 1, Human, Immunity, Melanoma, Mice, Oncolytic Virotherapy, Oncolytic Viruses, United States, IFN stimulated genes, Bach1, HSV-1, Hemin, Antitumor immunity, Biochemistry and Cell Biology
Abstract

BackgroundIn 2015, herpes simplex virus 1 (HSV-1)-derived talimogene laherparepvec (T-VEC) was the first oncolytic virus approved by the US Food and Drug Administration as a therapeutic agent for cancer treatment. However, its antitumor application is limited to local treatment of melanoma, and there is a lack of understanding of the mechanisms underlying the regulation of HSV-1 replication in cancer cells and the associated antitumor immunity. We hypothesized that increasing the replication capacity of HSV-1 in tumor cells would enhance the antitumor effect of this virus.MethodsWe systematically identified IFN-stimulated genes induced by HSV-1 by performing functional screens and clarified the mechanism by which BACH1 acts against HSV-1. Then, we tested the effect of BACH1 deficiency on immunogenic cell death induced by HSV-1. Furthermore, we investigated the antitumor effect of BACH1 deficiency on HSV-1 in MCA205 and B16 murine tumor models.ResultsWe identified eight IFN-stimulated genes (ISGs) controlling HSV-1 replication, among which BTB and CNC homology 1 (BACH1) suppressed HSV-1 replication by inhibiting the transcription of ICP4, ICP27, and UL39. Loss of Bach1 function not only increased HSV-1 proliferation but also promoted HSV-1-induced cell apoptosis, HMGB1 secretion, and calreticulin exposure in tumor cells. More importantly, hemin, an FDA-approved drug known to downregulate BACH1, significantly enhanced HSV-1-mediated antitumor activity with increased T lymphocyte infiltration at the tumor site.ConclusionsOur studies uncovered a novel antiviral activity of BACH1 and provided a new strategy for improving the clinical efficiency of the oncolytic virus HSV-1.

Published
2022

83. Next-Day Bitcoin Price Forecast Based on Artificial intelligence Methods

Author

Yang, Liping

Subjects
Quantitative Finance - Statistical Finance, Computer Science - Machine Learning
Abstract

In recent years, Bitcoin price prediction has attracted the interest of researchers and investors. However, the accuracy of previous studies is not well enough. Machine learning and deep learning methods have been proved to have strong prediction ability in this area. This paper proposed a method combined with Ensemble Empirical Mode Decomposition (EEMD) and a deep learning method called long short-term memory (LSTM) to research the problem of next-day Bitcoin price forecast.

Published
2021

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