- Stochastic processes and financial applications
- Topic Modeling
- Risk and Portfolio Optimization
- IoT and Edge/Fog Computing
- Blockchain Technology Applications and Security
- Complex Network Analysis Techniques
- Cloud Computing and Resource Management
- Advanced Optical Network Technologies
- Data Management and Algorithms
- Balance, Gait, and Falls Prevention
- Advanced Graph Neural Networks
- Supply Chain and Inventory Management
- Diabetic Foot Ulcer Assessment and Management
- Biomedical Text Mining and Ontologies
- Climate Change Policy and Economics
- Text and Document Classification Technologies
- Peer-to-Peer Network Technologies
- Sustainable Supply Chain Management
- Image Retrieval and Classification Techniques
- Mobile Agent-Based Network Management
- Ophthalmology and Visual Impairment Studies
- Sentiment Analysis and Opinion Mining
- Caching and Content Delivery
- Advanced Text Analysis Techniques
- Economic theories and models
Xi’an University of Posts and Telecommunications
2023-2024
Monash University
2024
China Telecom
2019-2023
Nanjing University of Science and Technology
2006-2023
China Telecom (China)
2019-2023
Chinese Academy of Sciences
2012-2023
Fudan University
2023
Shanghai National Accounting Institute
2023
Didi Chuxing (China)
2023
Shandong Institute of Automation
2022-2023
Postural control is a complex skill based on the interaction of dynamic sensorimotor processes, and can be challenging for people with deficits in sensory functions. The foot plantar center pressure (COP) has often been used quantitative assessment postural control. Previously, COP was mainly measured by force plates or complicated expensive insole-based measurement systems. Although some low-cost instrumented insoles have developed, their ability to accurately estimate trajectory not...
Abstract Community search, which aims to retrieve important communities (i.e., subgraphs) for a given query vertex, has been widely studied in the literature. In recent, plenty of research is conducted detect influential communities, where each vertex network associated with an influence value. Nevertheless, there paucity work that can support personalized requirement. this paper, we propose new problem, i.e., maximal community search. Given graph G , integer k and u aim obtain most by...
Community detection is a fundamental problem in social network analysis, and most existing studies focus on unsigned graphs, i.e., treating all relationships as positive. However, friend foe naturally exist many real-world applications. Ignoring the signed information may lead to unstable communities. To better describe communities, we propose novel model, named k-truss, which leverages properties of k-truss balanced triangle. We prove that identifying maximum NP-hard. deal with large...
We propose a new method for query expansion called "term similarity tree model" (TSTM). Term is built to represent and estimate similarities between terms. Based on TSTM, we use restriction overlay implement expansion. This can cluster terms automatically, make the process of more flexible controllable, control noise effectively. In addition, parameters TSTM be adjusted easily meet requirements different types queries. TREC data used test method. The experiments show that outperforms...
The inductive inference of the knowledge graph aims to complete potential relations between new unknown entities in graph. Most existing methods are based on entity-independent features such as structure information and relationship inference. However, neighborhood these is often too sparse obtain enough build effectively. In this work, we propose a method that fuses ontology information. Based enclosing subgraph, bring feature embeddings concepts corresponding learn semantic implicit...
This paper aims to investigate the effects of vertical competition or cooperation along a supply chain on product innovation under reference effect. To this end, we develop game-theoretical models cooperative and non-cooperative chains analyse optimal decisions upstream manufacturer downstream retailer. Then, investment levels are compared. We find that whether is higher depends critically strength In particular, although stronger effect lowers in chain, it may instead increase if retailer...
Taxonomies, which organize domain concepts into hierarchical structures, are crucial for building knowledge systems and downstream applications. As evolves, taxonomies need to be continuously updated include new concepts.Previous approaches have mainly focused on adding the leaf nodes of existing tree, does not fully utilize taxonomy’s is unable update original taxonomy structure (usually involving non-leaf nodes). In this paper, we propose a two-stage method called ATTEMPT completion. Our...
Abstract The emerging Space-Air-Ground, Artificial intelligence, blockchain and Vehicle-to-everything technology in Integrated Internet of Things (IoT) enables vehicles to communicate with other roadside units (RSU), which improves communication efficiency driving safety. Due the rich data IoT, it is easy for illegal persons steal or deceive users. While reasonably allocating resources complete transmission task, still a challenge ensure security vehicle users IoT. In this paper, we study...
In view of the difficult interoperations, information sharing and barely reused among existing power quality software systems, this paper presents a aided service platform which by using multi-agent technology can dynamically compose basic web services to implement advanced functions meet rapidly changing business demands flexibly. The aid like monitoring data management, harmonic analysis, evaluating effect disturbance loads design check parameters filter SVC systems are implemented on...
Flink is regarded as a promising distributed data processing engine for unifying bounded and unbounded data. Unbalanced workloads upon multiple workers/task managers/servers in the bring congestion, which will lead to quality of service (QoS) decreasing. The balanced load distribution could efficiently improve QoS. Besides, existing works are lagging behind current version. To distribute workers evenly, resource-oriented balancing task scheduling (RoLBTS) mechanism proposed. capacities CPU,...
Zhou and Li [49] by virtue of stochastic linear-quadratic control theory studied the optimal portfolio problems with asset price process satisfying a diffusion differential equation, proposed celebrated LQ framework efficient frontier for given problem. In this paper, we consider based on jump-diffusion equation. Similarly, also arrive at selection The conclusions obtained here can be regarded as natural generalization work [49].
<abstract><p>This paper first studies the quantile hedging problem of contingent claims in an uncertain market model. A special kind no-arbitrage, that is, absence immediate profit, is characterized. Instead traditional no-arbitrage targeting whole market, profit depends on confidence level portfolio manager for risk. We prove condition holds if and only initial price each risky asset lies between $ \alpha $-optimistic value $-pessimistic its discounted at end period. The bounds...
With the rapid development of information technology, broadcasting services provide a lot convenience for people's life. The way people obtain has become more and abundant, penetration rate increased number multimedia applications day by day, scale network users been significantly improved. However, there are still some obvious new pain points in today's service system. This article will combine actual needs, use blockchain smart contracts as support to design future broadcast Relying on...