A5100706220- Network Security and Intrusion Detection
- Topology Optimization in Engineering
- Internet Traffic Analysis and Secure E-voting
- Advanced Malware Detection Techniques
- Traffic Prediction and Management Techniques
- Topic Modeling
- Adversarial Robustness in Machine Learning
- Advanced Multi-Objective Optimization Algorithms
- Plant responses to elevated CO2
- Plant Stress Responses and Tolerance
- Transportation Planning and Optimization
- Metaheuristic Optimization Algorithms Research
- Geotechnical Engineering and Underground Structures
- Advanced Algorithms and Applications
- Plant nutrient uptake and metabolism
- Formal Methods in Verification
- Data Quality and Management
- Railway Engineering and Dynamics
- Human Mobility and Location-Based Analysis
- Natural Language Processing Techniques
- Anomaly Detection Techniques and Applications
- Photosynthetic Processes and Mechanisms
- Traffic control and management
- Power Systems and Renewable Energy
- Garlic and Onion Studies
Harbin Institute of Technology
2022-2024
Fudan University
2023-2024
Tianjin University of Technology
2024
Hunan University
2023-2024
Fujian Agriculture and Forestry University
2023
Chinese Academy of Sciences
2011-2023
Guangzhou University
2021-2023
Institute of Information Engineering
2022-2023
Shanghai Jiao Tong University
2020-2023
China University of Mining and Technology
2023
Author name ambiguity causes inadequacy and inconvenience in academic information retrieval, which raises the necessity of author disambiguation (AND). Existing AND methods can be divided into two categories: models focusing on content to distinguish whether papers are written by same author, relation represent as edges network quantify similarity among papers. However, former requires adequate labeled samples informative negative samples, also ineffective measuring high-order connections...
Traffic prediction has drawn increasing attention due to its essential role in smart city applications. To achieve precise predictions, a large number of approaches have been proposed model spatial dependencies and temporal dynamics. Despite their superior performance, most existing studies focus datasets that are usually geographic scales, e.g., citywide, while ignoring the results on specific regions. However, many scenarios, for example, route planning time-dependent road networks, only...
Hydrothermal chimneys are indicators of hydrothermal activity and therefore important in ocean research. Because the complex terrain suspended solids water around chimneys, it is difficult to measure them with traditional methods. In this paper we propose an innovative method shape color by a rotary laser scanning (RLS) system. By combining multiple scans taken from different angles extracting information surface can create visual models as described figure 1. The proposed was implemented...
The network community always pays its attention to find better methods for traffic classification, which is crucial Internet Service Providers (ISPs) provide QoS users. Prior works on classification mainly focus their attentions dividing into different categories based application layer protocols (such as HTTP, Bit Torrent etc.). Making from another point of view, we divide content types. Our technology an attempt solve the problem traffic, contains unknown and proprietary (i.e., no publicly...
The spin and orbital magnetic moments of the Fe3O4 epitaxial ultrathin film synthesized by plasma assisted simultaneous oxidization on MgO(100) have been studied with X-ray circular dichroism. retains a rather large total moment, i.e., (2.73 ± 0.15) μB/f.u., which is ∼70% that for bulk-like Fe3O4. A significant unquenched moment up to 0.54 0.05 μB/f.u. was observed, could come from symmetry breaking at Fe3O4/MgO interface. Such sizable will add capacities Fe3O4-based spintronics devices in...
The pervasiveness of GPS-enabled devices and wireless communication technologies results in a proliferation traffic data intelligent transportation systems, where prediction is often essential to enable reliability safety. Many recent studies target using deep learning techniques. They model spatio-temporal dependencies among states by achieve good overall performance. However, existing ignore the bias on models, which refers non-uniformed performance distribution across road segments,...
This paper deals with targeted testing of timed systems whose models may have uncontrollable behavior. The activity is viewed as a game between the tester and system under test (SUT) towards given purpose. SUT modeled Timed Game Automaton purpose specified in CTL formula. We employ solver UPPAAL-TIGA to check if ture w.r.t. model, yes, generate winning strategy use it for black-box conformance implementation. Specifically, we show that case checking yields negative result, can still...
Predicting neurological outcomes after cardiac arrest remains a major issue. This study aimed to identify novel biomarkers capable of predicting prognosis arrest. Expression profiles GSE29540 and GSE92696 were downloaded from the Gene Omnibus (GEO) database obtain differentially expressed genes (DEGs) between high low brain performance category (CPC) scoring subgroups. Weighted gene co-expression network analysis (WGCNA) was used screen key modules crossover in these datasets. The...