- Immune Cell Function and Interaction
- Risk and Portfolio Optimization
- Inflammatory Biomarkers in Disease Prognosis
- Cytomegalovirus and herpesvirus research
- Stochastic processes and financial applications
- Fuzzy Systems and Optimization
- Technology Adoption and User Behaviour
- Collaboration in agile enterprises
- Viral-associated cancers and disorders
- Digital Marketing and Social Media
- Probabilistic and Robust Engineering Design
- Insurance and Financial Risk Management
- Advanced Data Compression Techniques
- Quality and Supply Management
- Microgrid Control and Optimization
- Image Retrieval and Classification Techniques
- Agricultural risk and resilience
- Multi-Criteria Decision Making
- Advanced Image and Video Retrieval Techniques
- Sentiment Analysis and Opinion Mining
- Quality and Safety in Healthcare
- Probability and Risk Models
- Statistical Methods and Inference
- Lymphoma Diagnosis and Treatment
- Topic Modeling
Huazhong Agricultural University
2025
Center of Hubei Cooperative Innovation for Emissions Trading System
2025
Zhejiang University of Finance and Economics
2013-2024
Tianjin University
2024
Sun Yat-sen University
2022-2023
State Key Laboratory of Oncology in South China
2023
Sun Yat-sen University Cancer Center
2022-2023
Hunan University of Finance and Economics
2019-2023
Donghua University
2022
Jilin University of Finance and Economics
2021
Nasopharyngeal carcinoma (NPC) and Epstein-Barr virus (EBV)-associated gastric (EBVaGC) are two major EBV-associated epithelial malignancies, both of which characterized by the infiltration a large number lymphocytes, including natural killer (NK) cells. Although NK cells can prevent development EBV-infected tumor often develop resistance to surveillance Elucidating interactions between will facilitate more effective NK-mediated therapies for treating malignancies. Here we investigated...
Purpose Social shopping website (SSW) introduce the social side into process, thus making “window” or browsing more interesting for customers. The purpose of this paper is to investigate customer online experience and its antecedents (i.e. information quality interaction) consequences urge buy impulsively continuous intention) in context SSW. Design/methodology/approach A survey questionnaire was distributed visitors SSW collect data, partial least squares technology used test research...
In this paper, we propose a content-based image retrieval (CBIR) approach using color and texture features extracted from block truncation coding based on binary ant colony optimization (BACOBTC). First, present near-optimized common bitmap scheme for BTC. Then, convert the to two quantizers image-utilizing BACOBTC. Subsequently, features, i.e., histogram feature (CHF) bit pattern (BHF) are measure similarity between query target in database retrieve desired image. The performance of...
In this paper, we propose an effective image retrieval approach using block truncation coding compressed data stream based on edge-based quantization (EQBTC). First, is into corresponding quantisers and a bitmap by EQBTC. Then, the are used for colour feature extraction, whereby grey luminance edge extraction. Subsequently, two features, histogram (CHF) overall structure (OSF), computed to measure similarity between images specific distance metric computation. The results presented in paper...
Hiding a message in compression codes can reduce transmission costs and simultaneously make the more secure. This paper presents an adaptive reversible data hiding scheme that is able to provide large embedding capacity while improving quantity of modified images. The proposed employs quantization level difference (QLD) interpolation technique adaptively embed secret information into pixels each absolute moment block truncation coding (AMBTC)-compressed block, except for positions two...
Nowadays, as the Internet services increase faster than ever before, government systems are reinvented E‐government services. Therefore, procurement sectors have to face challenges brought by explosion of service information. This paper presents a novel method for (eGP) search optimal scheme (OPS). Item‐based collaborative filtering and Bayesian approach used evaluate select candidate get top‐ M recommendations such that involved computation load can be alleviated. A trapezoidal fuzzy number...
Delta operator-based implementation over the conventional shift operator approach has been applied to direct form based structure, and satisfactory performance including low roundoff noise gain coefficient sensitivity, achieved. However, for delta not into lattice filter structure. In this paper, a novel structure is derived on operator. The expression of proposed derived. For an Nth order digital filter, requires 5N + 1 multipliers, which yields same complexity as normalized A numerical...
In this paper, we introduce two new classes of acceptability indexes, named quasi‐concave indexes and coherent for portfolio vectors. We establish the one‐to‐one correspondence between (coherent, resp.) convex risk measures derive representation results measures. Finally, based on these results, These can be considered as a kind multivariate extension univariate introduced by Cherny Madan (2009) Rosazza Gianin Sgarra (2013), respectively.
The aim of this paper is to construct two new classes multivariate risk statistics, and study their properties. We, first, introduce the shortfall statistics divergence statistics. Then, basic properties are studied, representation results provided. Furthermore, coherency also characterized by means corresponding loss function. Finally, entropic given illustrate proposed relationship between discussed.
In this paper, we investigate representation results for set-valued law invariant coherent and convex risk measures, which can be considered as a extension of the multivariate scalar measures studied in literature. We further introduce new class named distortion version introduced The relationship between weighted value at is also given.
In this paper, we study how to evaluate the risk of a financial portfolio, whose components may be dependent and come from different markets or involve more than one kind currencies, while also take into consideration uncertainty about time value money. Namely, introduce new class measures, named set-valued dynamic measures for bounded discrete-time processes that are adapted given filtration. The horizon can finite infinite. We investigate representation results them by making full use...