A5101746299- PAPR reduction in OFDM
- Traffic Prediction and Management Techniques
- Wireless Signal Modulation Classification
- Energy Load and Power Forecasting
- Neurotransmitter Receptor Influence on Behavior
- Image and Signal Denoising Methods
- Constraint Satisfaction and Optimization
- Robotic Path Planning Algorithms
- Biomedical Text Mining and Ontologies
- Optical Wireless Communication Technologies
- Human Mobility and Location-Based Analysis
- Age of Information Optimization
- Scheduling and Timetabling Solutions
- Neuroscience and Neuropharmacology Research
- Power Line Communications and Noise
- Traffic control and management
- Vehicular Ad Hoc Networks (VANETs)
- Topic Modeling
- Robotics and Automated Systems
- Context-Aware Activity Recognition Systems
- Text and Document Classification Technologies
- Data Visualization and Analytics
- Memory and Neural Mechanisms
Shenzhen University
2023-2024
Sun Yat-sen University
2023
Henan University of Technology
2022
This paper introduces IRIS, an immersive Robot Interaction System leveraging Extended Reality (XR), designed for robot data collection and interaction across multiple simulators, benchmarks, real-world scenarios. While existing XR-based systems provide efficient intuitive solutions large-scale collection, they are often challenging to reproduce reuse. limitation arises because current highly tailored simulator-specific use cases environments. IRIS is a novel, easily extendable framework that...
In the medical field, text classification based on natural language process (NLP) has shown good results and great practical application prospects such as clinical value, but most existing research focuses English electronic record data, there is less processing task for Chinese records. Most of current records are non-institutionalized texts, which generally have low utilization rates inconsistent terminology, often mingling patients’ symptoms, medications, diagnoses, other essential...
Electricity consumption behaviors are influenced by various external and internal factors such as climate, location, building type, consumer characteristics even other energy consumption. In order to investigate the electricity of diverse consumers, we propose a methodology based on canonical correlation analysis explore among consumption, gas climate change under different circumstances. We first preprocess three multivariable datasets that contain 24-value daily data in one-year period,...
3D visual grounding (3DVG) aims to locate objects in a scene with natural language descriptions. Supervised methods have achieved decent accuracy, but closed vocabulary and limited understanding ability. Zero-shot mostly utilize large models (LLMs) handle descriptions, yet suffer from slow inference speed. To address these problems, this work, we propose zero-shot method that reformulates the 3DVG task as Constraint Satisfaction Problem (CSP), where variables constraints represent their...
Considering the traffic environment with highmoving vehicles, orthogonal time frequency space (OTFS) has become an emerging technology to handle rapid timevarying channels via vehicular communications. Due sparse representation of delay-Doppler (DD) domain, related channel information can be estimated by means embedded pilot technique. However, uncertainties unknown and burst noise incur system performance degradation issues. To tackle this problem, in paper, we propose a novel gated...