A5040383374- Advanced Wireless Communication Technologies
- Face and Expression Recognition
- Electrospun Nanofibers in Biomedical Applications
- Advanced Antenna and Metasurface Technologies
- Domain Adaptation and Few-Shot Learning
- Human Pose and Action Recognition
- Image Retrieval and Classification Techniques
- Anomaly Detection Techniques and Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Cellulose Research Studies
- Traffic Prediction and Management Techniques
- UAV Applications and Optimization
- Risk and Safety Analysis
- Generative Adversarial Networks and Image Synthesis
- Satellite Communication Systems
- IoT Networks and Protocols
- Surface Modification and Superhydrophobicity
- Safety Systems Engineering in Autonomy
- Time Series Analysis and Forecasting
- Video Surveillance and Tracking Methods
- Integrated Energy Systems Optimization
- Advanced Sensor and Energy Harvesting Materials
- Remote-Sensing Image Classification
- Engineering and Test Systems
- Autonomous Vehicle Technology and Safety
South China Agricultural University
2024
Jiangsu University
2023-2024
Monash University
2024
Tibet University
2022-2023
Chongqing University
2023
Deep contrastive clustering has recently gained significant attention due to its advantageous ability leverage the learning paradigm for joint representation and clustering. However, previous deep approaches mostly focus on instance discrimination or cluster discrimination, which often overlook rich semantic information latent in vast <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">intermediate</i> levels of granularity between instances...
Developing high-performance and low-cost protein purification materials is of great importance to meet the demands for highly purified proteins in biotechnological industries. Herein, a facile strategy was developed design construct high-efficiency absorption separation media by combining aerogels’ molding techniques impregnation processes. Poly (ethylene-co-vinyl alcohol) (EVOH) nanofibrous aerogels (NFAs) were modified grafting butane tetracarboxylic acid (BTCA) over them situ. This...
Estimating the joint distribution of on-road agents' future trajectories is essential for autonomous driving. In this technical report, we propose a next-generation framework multi-agent trajectory prediction called QCNeXt. First, adopt query-centric encoding paradigm task prediction. Powered by scheme, our scene encoder equipped with permutation equivariance on set elements, roto-translation invariance in space dimension, and translation time dimension. These properties not only enable...
Anticipating the multimodality of future events lays foundation for safe autonomous driving. However, multimodal motion prediction traffic agents has been clouded by lack ground truth. Existing works predominantly adopt winner-take-all training strategy to tackle this challenge, yet still suffer from limited trajectory diversity and misaligned mode confidence. While some approaches address these limitations generating excessive candidates, they necessitate a post-processing stage identify...
To effectively quantify the reliability levels of electricity-hydrogen integrated energy systems (EH-IESs), a evaluation method EH-IESs is proposed considering flexible operation hydrogen supply networks (HSNs) in this paper. The multi-state Markov models alkaline electrolyzers (AELs) and dispenser units (DPs) de-rated states are first established. Then, mechanism HSNs based on characteristics fuel cell vehicles (HFCVs) tube trailers (HTTs). An optimal load shedding model developed to...