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11
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Introduction
My interests include smart tourism, predicting traffic at tourism sites, mobility analysis, and anomaly detection in human-machine interactions. I use big data mining, machine learning and other techniques to support my research.
Skills and Expertise
Current institution
Publications
Publications (11)
Few-shot fault diagnosis aims to detect novel faults with only a few labeled samples in each category. Most of the few-shot learning (FSL)–based fault diagnosis models use meta-learning frameworks because of their effectiveness and simplicity. However, these models often fail to be generalized in unseen working conditions that exhibit domain shifts...
Existing tourism demand forecasting models mainly focus on forecasting demands of relatively long time spans at a single destination. These studies lack considering the evolution of demand patterns or presume fixed interaction structures among multiple destinations, limiting their applications during uncertain times when demands and their interacti...
A scenic area website is playing an increasingly important role in tourist decision-making process. On the basis of SERVQUAL scale and by taking the features of scenic area website into account, a fuzzy comprehensive evaluation approach is introduced to evaluate the service quality of the website. The evaluation system comprises five dimensions: us...
Ridesharing has emerged as an alternative transportation mode along road networks around the world. Rideshare matching problem is vital to improve the sustainable development of ridesharing systems. This paper aims to address the stable two-sided satisfied matching problem considering the participants’ psychological perception. First of all, we inv...
Owing to the complexity of decision environment, not all the attributes in multiple attribute decision making are quantitative. There are also some qualitative attributes, which are related to the integration of multiple attribute decision making (MADM) and linguistic multiple attribute decision making (LMADM). The specific method for composite mul...
In the social network, trust information features dynamic and incomplete. The experts' weight information is unknown beforehand, or there is not enough reliable sources. The dynamic process of trust propagation is analyzed, a new TS-UTOWA operator for multipath propagation is introduced, and an innovative D-UTOWA operator is proposed for trust aggr...
Tourism industry develops rapidly, becoming the world’s largest industry quickly, which brings about huge economic and social benefits. However, it also brings about many problems at the same time, for example, the management is not perfect, the scenic spot environmental pollution is serious and so on. These reduce the tourist satisfaction seriousl...
The multi-attribute making problems have taken highly attention, in which the attribute information are interval linguistic variables. Both confirming weight and aggregating information are crucial for an interval linguistic multi-attribute decision making (ILMADM) problem. For the sake of deriving the attribute weights, the interval linguistic sta...
In this study, a hybrid forecasting model based on Empirical Mode Decomposition (EMD) and Least Squares Support Vector Machines (LSSVMs) is proposed to predict tourism demand (i.e. the maximal number of arrivals in a short time interval). The proposed approach first uses EMD decompose the complicated data into a finite set of Intrinsic Mode Functio...
To set up a resort’s equilibrium tourist flow assignment model, the tour line features of the tourists are considered. This model firstly initiates a tourist equilibrium distribution model for the resort and then gets an optimal approximate solution when a tourist group reaches a certain scale. Next, the resort’s tourist equilibrium shunting model...
