A5100394926- Geographic Information Systems Studies
- Data Management and Algorithms
- Advanced Vision and Imaging
- Remote Sensing and LiDAR Applications
- Advanced Computational Techniques and Applications
- 3D Modeling in Geospatial Applications
- Computer Graphics and Visualization Techniques
- Video Coding and Compression Technologies
- 3D Surveying and Cultural Heritage
- Remote Sensing in Agriculture
- Air Quality Monitoring and Forecasting
- Advanced Image and Video Retrieval Techniques
- Semantic Web and Ontologies
- Geological Modeling and Analysis
- Advanced Database Systems and Queries
- Advanced Image Processing Techniques
- Air Quality and Health Impacts
- Simulation and Modeling Applications
- Advanced Sensor and Control Systems
- Urban Stormwater Management Solutions
- Advanced Decision-Making Techniques
- Speech and Audio Processing
- Educational Technology and Assessment
- Groundwater flow and contamination studies
- Robotics and Sensor-Based Localization
Changsha University of Science and Technology
2020-2025
Yunnan Agricultural University
2025
Wuhan University
2015-2024
China State Construction Engineering (China)
2024
Taiyuan University of Technology
2022-2024
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2015-2024
China University of Petroleum, Beijing
2014-2024
Tsinghua University
2020-2024
Fuzhou University
2017-2024
Hong Kong University of Science and Technology
2024
Abstract The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale training and model parameters, capability has been dramatically improved, leading to human-like performances understanding, synthesizing, common-sense reasoning, etc. Such major leap forward general AI capacity will fundamentally change pattern how personalization is conducted. For one thing, it reform way interaction between humans systems. Instead being...
We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as preliminary step, demonstrates remarkable capabilities. Through RL, naturally emerges with numerous powerful intriguing behaviors. However, it encounters challenges such poor readability, language mixing. To address these issues further enhance performance, we DeepSeek-R1, which incorporates...
SUMMARY Certificateless public key cryptography simplifies the complex certificate management in traditional and resolves escrow problem identitybased cryptography. The certificateless signature scheme is studied widely as an important primitive. Following pioneering work done by Al‐Riyami et al. , many schemes using bilinear pairings have been proposed ever since. However, relative computation cost of pairing approximately 20 times higher than that scalar multiplication over elliptic curve...
ABSTRACT Developing an accurate model that can effectively simulate groundwater levels is of immense significance for water resource management and aquifer protection. To achieve this, it crucial to identify key factors in remote sensing, topography, meteorology, improve hydrological models enhance prediction accuracy. This study proposes a multistep modelling framework, the RF‐PSO‐GRNN algorithm model, accuracy level simulations data‐scarce hilly regions. The framework combines random...
AbstractLight detection and ranging (lidar) sensors, both at the terrestrial airborne levels, have recently emerged as useful tools for three-dimensional (3D) reconstruction of vegetated environments. One such laser scanner (TLS) is Intelligent Laser Ranging Imaging System (ILRIS-3D). The objective this research was to develop approaches use ILRIS-3D data retrieve structural information an artificial tree in a controlled laboratory experiment. key crown-level parameters investigated study...
Biometric authentication schemes, i.e., fingerprint and face authentication, raise serious privacy concerns. To alleviate such concerns, hand has been proposed recently. However, existing schemes use dedicated hardware, as infrared or depth cameras, which are not available on commodity mobile devices. In this paper, we present EchoHand, a high accuracy presentation attack resistant scheme that complements camera-based 2-dimensional geometry recognition of one with active acoustic sensing the...
The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale training and model parameters, capability has been dramatically improved, leading to human-like performances understanding, synthesizing, common-sense reasoning, etc. Such major leap-forward general AI capacity will change pattern how personalization is conducted. For one thing, it reform way interaction between humans systems. Instead being passive medium...
In online social networks, because one's private information can be co-owned and disclosed by peers, a new type of privacy concern, i.e., concern about peer disclosure (IPCPD), looms large. Should member an network offered decision control to veto ex-ante the his/her peers? There has been no theoretical research on effectiveness decisional alleviate such concern. Drawing communication management perspective impression theory, this study proposes three-way interaction effect among three...
Trajectory prediction is one of the core functions autonomous driving. Modeling spatial-aware interactions and temporal motion patterns for observed vehicles are critical accurate trajectory prediction. Most recent works on utilize recurrent neural networks (RNNs) to model usually need convolutional (CNNs) additionally capture spatial interactions. Although Transformer, a multi-head attention-based network, has shown its notable ability in many sequence-modeling tasks (e.g., machine...
Climate change studies require consistent, long time series, surface reflectance data. The characterization of the bidirectional distribution function (BRDF) is important for normalizing solar radiation reflected from earth's surface. We evaluated four BRDF models to identify preferred approach normalization multiyear National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer (AVHRR) SPOT4-VEGETATION (VGT) composite images a common illumination viewing geometry....
The Tibetan Plateau is among the region’s most sensitive areas to global climate change. observation data from 113 meteorological stations on and surrounding regions in China for 1971–2017 were used analyze periodic oscillations trends precipitation extreme multiple time scales ensemble empirical mode decomposition. relationship between sea-surface temperature (SST) anomalies was also explored. results as follows. (1) timing of extreme-precipitation events highlands consistent, with...
Unmanned aerial vehicles (UAVs) open new methods for efficient and rapid transportation in urban logistics distribution, where task allocation is a significant issue. In systems, the energy status of UAVs critical factor ensuring mission fulfillment. While extensive literature addresses consumption during tasks, feasibility replenishment must be addressed, which introduces additional uncertainty to allocation. This paper realizes multi-tasking, considering UAVs, ensure that tasks can...
A multiple sensor payload for a multi-rotor based UAV platform was developed and tested measuring land surface albedo spectral measurements at user-defined spatial, temporal, resolutions. The system includes Matrice 600 with an RGB camera set of four downward pointing radiation sensors including pyranometer, quantum sensor, VIS NIR spectrometers, reflected radiation. companion ground unit consisting second identical simultaneously measure downwelling measured by the are used calculating...