A5100329603- Advanced Multi-Objective Optimization Algorithms
- Metaheuristic Optimization Algorithms Research
- Adaptive Dynamic Programming Control
- Video Analysis and Summarization
- Plant Molecular Biology Research
- Evolutionary Algorithms and Applications
- Plant Gene Expression Analysis
- Multimodal Machine Learning Applications
- Reinforcement Learning in Robotics
- Radiomics and Machine Learning in Medical Imaging
- Subtitles and Audiovisual Media
- Lung Cancer Diagnosis and Treatment
- Seismology and Earthquake Studies
- Robotic Path Planning Algorithms
- Emotion and Mood Recognition
- Technology and Security Systems
- Intelligent Tutoring Systems and Adaptive Learning
- Anomaly Detection Techniques and Applications
- Wireless Signal Modulation Classification
- Arsenic contamination and mitigation
- Artificial Intelligence in Education
- Data Mining Algorithms and Applications
- Geochemistry and Geologic Mapping
- Phytochemicals and Antioxidant Activities
- Evacuation and Crowd Dynamics
Tianjin University
2023-2025
Beijing University of Posts and Telecommunications
2023-2025
Jiangsu Normal University
2009-2023
Yangzhou University
2023
China Mobile (China)
2022
PLA Army Engineering University
2020-2021
China Geological Survey
2021
Plant-specific TCP transcription factors play vital roles in the controlling of growth, development, and stress response processes. Extensive researches have been carried out numerous species, however, there hasn’t any information available about genes sweet potato ( Ipomoea batatas L.). In this study, a genome-wide analysis was to explore evolution function potato. Altogether, 18 IbTCPs were identified cloned. The expression profiles differed dramatically different organs or stages leaf...
MicroRNA319 (miR319) plays a key role in plant growth, development, and multiple resistance by repressing the expression of targeted TEOSINTE BRANCHED/CYCLOIDEA/PCF (TCP) genes. Two members, IbmiR319a IbmiR319c, were discovered miR319 gene family sweet potato (Ipomoea batatas [L.] Lam). Here, we focused on biological function potential molecular mechanism response to drought stress potato. Blocking transgenic (MIM319) resulted slim tender phenotype greater sensitivity stress. Microscopic...
Sweet potato is a globally important tuber crop valued for its high nutritional value. Following harvesting, the tubers are typically stored up to several months, but little known about changes in global metabolites during this period. Here, widely targeted metabolomics approach was used analyze metabolic three sweet cultivars with different flesh colors postharvest storage. A total of 496 were characterized. The metabolite profiles before and after storage compared, results indicated that...
Personality detection is a fundamental task for user psychology research. One of the biggest challenges in personality lies quantitative limitation labeled data collected by completing questionnaire, which very time-consuming and labor-intensive. Most existing works are mainly devoted to learning rich representations posts based on data. However, they still suffer from inherent weakness amount labels, potentially restricts capability model deal with unseen In this paper, we construct...
Abstract Specific emitter identification (SEI) is an emerging device authentication technology, which depends on the inherent hardware characteristics of wireless devices. By analysing received signal, a specific can be extracted at receiver and used for association. Most existing SEI schemes focus under closed sets. In view explosive growth number IoT devices, based generative adversarial networks, this study proposes method that considers unknown emitters. The reconstruction network to...
Social learning particle swarm optimization (SL-PSO) allows individuals to learn from others improve the scalability with easy parameter settings. However, it still suffers poor convergence for those multi-modal problems due loss of diversity. To both diversity and convergence, this paper proposes a novel algorithm apply mechanism molecular interactions SL-PSO, in which attraction aims repulsion intends enhance In experiments, we compare our SL-PSO other representative PSO evolutionary...
This paper focuses on mining association rules in multivariate time series. Common rule algorithms can only be applied to transactional data, and a typical application is market basket analysis. If we want apply these time-series changes need made. During temporal mining, the natural ordering of data interval between left right patterns considered. reviews some methods for proposes two similar frequent single series, both scalable efficient. The pattern pruning clustering reduce number...
News captioning aims to describe an image with its news article body as input. It greatly relies on a set of detected named entities, including real-world people, organizations, and places. This paper exploits commonsense knowledge understand entities for captioning. By ``understand'', we mean correlating the content common sense in wild, which helps agent 1) distinguish semantically similar 2) using words outside training corpora. Our approach consists three modules: (a) Filter Module...
The main challenges of sequential estimations underwater navigation applications are the internal/external measurement noise and missing situations. A quadratic interpolation-based variational Bayesian filter (QIVBF) is proposed to solve problem information or insufficiency. interpolation used improve observed vector for precision stability when environment changed lost. state vector, predicted error covariance matrix, matrix derived based on method. Simulation results demonstrate...
In view of the lack quantitative research on personalized learning characteristics (PLC), education oriented knowledge graph (EOKG) is utilized. Firstly, properties specified EOKG are studied. Secondly, in EOKG, division surface (DS) based edges among knowledge-points put forward to quantitatively define boundary that students have mastered and not mastered. Thirdly, DS, static dynamic PLC described. Fourthly, method model students' status given. The measurement provides an effective for education.
Multimodal personality assessment aims to identify and express human traits in videos. Existing methods primarily focus on multimodal fusion while ignoring the inherent psychological clues essential for this interdisciplinary task. Modality clues: are stable over time due their genetic environmental origins, resulting data. Trait multiple often co-occur with non-negligible correlations, which can collectively aid trait identification. To simultaneously capture above clues, we propose a novel...
Abstract Differential evolution (DE) algorithm is a classical natural-inspired optimization algorithm, which has good performance. However, with the deepening of research, some researchers found that quality candidate solution population in differential poor and its global search ability not enough when solving problem. Therefore, order to solve above problems, we propose an adaptive based on data processing method (ADEDPM). In this paper, preprocessing implemented by k -means clustering...
Participatory sensing (PS) is a novel and promising network paradigm for achieving flexible scalable coverage with low deploying cost, by encouraging mobile users to participate contribute their smartphones as sensors. In this work, we consider general PS system model location-dependent time-sensitive tasks, which generalizes the existing models in literature. We focus on task scheduling user-centric system, where each participating user will make his individual decision (including both...