- Complexity and Algorithms in Graphs
- Optimization and Search Problems
- Cryptography and Data Security
- Advanced Graph Theory Research
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Target Tracking and Data Fusion in Sensor Networks
- Caching and Content Delivery
- Computational Geometry and Mesh Generation
- Graph Labeling and Dimension Problems
- Ideological and Political Education
- Bayesian Modeling and Causal Inference
- Software Engineering Research
- Rough Sets and Fuzzy Logic
- Underwater Acoustics Research
- Industrial Technology and Control Systems
- Mobile Crowdsensing and Crowdsourcing
- Blind Source Separation Techniques
- Access Control and Trust
- Advanced Wireless Communication Techniques
- Higher Education Learning Practices
- Aquaculture Nutrition and Growth
- Transportation Planning and Optimization
- Internet of Things and AI
- graph theory and CDMA systems
Ocean University of China
2013-2024
Jiangxi Transportation Research Institute
2024
Changji University
2021
Jiangsu Police Officer College
2021
Inner Mongolia Medical University
2021
Anhui Normal University
2021
Shijiazhuang University
2020
Institute of Archaeology
2020
PLA Army Engineering University
2020
National Astronomical Observatories
2017
Mobile app ecosystems have experienced tremendous growth in the last six years. This has triggered research on dynamic analysis of performance, security, and correctness properties mobile apps ecosystem. Exploration execution using automated UI actions emerged as an important tool for this research. However, existing largely developed analysis-specific automation techniques, wherein logic exploring is intertwined with analyzing properties. PUMA a programmable framework that separates these...
Social networks allow rapid spread of ideas and innovations while negative information can also propagate widely. When a user receives two opposing opinions, they tend to believe the one arrives first. Therefore, once misinformation or rumor is detected, containment method introduce positive cascade competing against rumor. Given budget k, blocking problem asks for k seed users trigger such that number who are not influenced by be maximized. The prior works have shown approximated within...
Social networks allow rapid spread of ideas and innovations while the negative information can also propagate widely. When cascades with different opinions reaching same user, cascade arriving first is most likely to be taken by user. Therefore, once misinformation or rumor detected, a natural containment method introduce positive competing against rumor. Given budget k, blocking problem asks for k seed users trigger such that number who are not influenced maximized. The prior works have...
Dietary astaxanthin (AST) exhibits the ability to resist lipid accumulation and stimulate hepatic autophagy. Natural AST predominantly exists in stable esterified forms. More importantly, our previous study, docosahexaenoic acid-acylated monoester (AST-DHA) possessed better stability, bioavailability, neuroprotective than free diester form. However, AST-DHA mechanisms of action regulating obese phenotype autophagy central nervous system remain unclear.High-fat diet (HFD)-fed C57BL/6J mice...
The RecSys Challenge 2017 focuses on recommending proper or potentially interested users for job postings. Different from traditional recommendation tasks, most of the items (jobs) to be recommended are cold-items without interaction history. To address this problem, paper introduces an effective integration method. whole framework consists integrations in 4 different levels: feature-level, model-level, data-level and approach-level. First, we extract features users' jobs' profiles make...
The k-core, a kind of structure graphs, is maximal connected subgraph with the minimum degree greater than or equal to k, and has been used in many fields. maximum k such that k-core contains u K value u. Especially, for an edge-weighted graph, vertex sum weights all its incident edges. core decomposition problem on static graphs maintenance dynamic have studied unweighted graphs. We improve algorithm suit but it costs too much update values vertices after change large by using directly....
In this paper, we propose a novel particle filter (PF), which uses bank of singular-value-decomposition based sampling Kalman filters (SVDSKF) to obtain the importance proposal distribution. This has two properties. Firstly, it allows incorporate latest observations into prior updating routine and, secondly inherits advantage having good numerical stability from (SVD). The convergence results simulations made confirm that proposed PF method outperforms standard bootstrap as well other local...
AI has surpassed humans across a variety of tasks such as image classification, playing games (e.g., go, "Starcraft" and poker), protein structure prediction. However, at the same time, is also bearing serious controversies. Many researchers argue that little substantial progress been made for in recent decades. In this paper, author (1) explains why controversies about exist; (2) discriminates two paradigms research, termed "weak AI" "strong (a.k.a. artificial general intelligence); (3)...
Expert systems are widely used for software fault diagnosis. Knowledge in these Systems could be learned from different ways, such as human expert, machine learning and etc.. The scale of the knowledge is increasing quickly, due to development testing tools techniques. However, it a big challenge integrate sources. In this paper, novel fusion method based on D-S theory provided meet its application practical diagnosis shows satisfied results.
Community detection can help analyze the structural features and functions of complex networks, plays important roles in many aspects such as project recommendation network evolution analysis. Therefore, community has always been a hot topic field networks. Although various community-detection methods have proposed, how to improve their accuracy efficiency is still an ambition pursued by researchers. In view this, this paper proposes method for networks based on node influence First, nodes...
Emulsified asphalt has become a popular green material in modern road construction due to its environmentally friendly and energy-saving characteristics. The method of obtaining residues is crucial for accurately evaluating the performance emulsified ensuring quality construction. evaporated 3% 6% SBR modified SBS were obtained by low-temperature evaporation (LTE) direct heating (DH) method, respectively. rheological properties tested temperature frequency sweeping (TFS), multi-stress creep...
Since 1993, astronomers and engineers from more than 100 institutions in 20 different countries including China, have engaged the international mega-science project—the Square Kilometre Array (SKA), which will be world’s largest synthesis radio telescope. The SKA is currently its pre-construction phase, China has been playing a very active role. participated 6 of total 10 work packages, carried out R&D dish array, aperture wideband single pixel feeds, phased array signal data transport,...