A5100722724- Distributed and Parallel Computing Systems
- Topic Modeling
- Data Mining Algorithms and Applications
- Multimodal Machine Learning Applications
- Particle Detector Development and Performance
- Particle accelerators and beam dynamics
- Advanced Neural Network Applications
- Domain Adaptation and Few-Shot Learning
- Superconducting Materials and Applications
- Advanced Data Storage Technologies
- Particle Accelerators and Free-Electron Lasers
- Image Processing and 3D Reconstruction
- Generative Adversarial Networks and Image Synthesis
- Air Quality and Health Impacts
- Video Surveillance and Tracking Methods
- Image Enhancement Techniques
- Rough Sets and Fuzzy Logic
- Privacy-Preserving Technologies in Data
- Visual Attention and Saliency Detection
- Markov Chains and Monte Carlo Methods
- Geotechnical Engineering and Underground Structures
- Natural Language Processing Techniques
- Digital Media and Visual Art
- Stochastic Gradient Optimization Techniques
- Peer-to-Peer Network Technologies
Institute of Art
2022-2024
Hohai University
2018-2024
State Key Laboratory of Remote Sensing Science
2020-2024
Beijing Normal University
2022-2024
Shanghai University
2023-2024
University of South Australia
2023-2024
Nanjing Tech University
2024
Brookhaven National Laboratory
2020-2024
Monash University
2024
China Jiliang University
2024
BackgroundExposure to cold spells is associated with mortality. However, little known about the global mortality burden of spells.MethodsA three-stage meta-analytical method was used estimate by means a time series dataset 1960 locations across 59 countries (or regions). First, we fitted location-specific, spell-related associations using quasi-Poisson regression distributed lag non-linear model period up 21 days. Second, built multivariate meta-regression between location-specific and seven...
Accelerator physics relies on numerical algorithms to solve optimization problems in online accelerator control and tasks such as experimental design model calibration simulations. The effectiveness of discovering ideal solutions for complex challenges with limited resources often determines the problem complexity these methods can address. community has recognized advantages Bayesian algorithms, which leverage statistical surrogate models objective functions effectively address challenges,...
Abstract. Over past decades, a lot of global land-cover products have been released, however, these is still lack map with fine classification system and spatial resolution simultaneously. In this study, novel 30-m for the year 2015 (GLC_FCS30-2015) was produced by combining time-series Landsat imagery high-quality training data from GSPECLib (Global Spatial Temporal Spectra Library) on Google Earth Engine computing platform. First, were developed applying series rigorous filters to MCD43A4...
The recently released ChatGPT has demonstrated surprising abilities in natural language understanding and generation. Machine translation relies heavily on the of Thus, this paper, we explore how to assist machine with ChatGPT. We adopt several prompts a wide range translations. Our experimental results show that designed can achieve comparable or better performance over commercial systems for high-resource further evaluate quality using multiple references, achieves superior compared...
The growth in the use of online advertising to foster brand awareness over recent years is largely attributable ubiquity social media. One pivotal technology contributing success frequency capping, a mechanism that enables marketers control number times an ad shown specific user. However, very foundation this being scrutinized as industry gravitates towards solutions prioritize user privacy. This paper delves into issue reach measurement and optimization within context $k$-anonymity,...
Video question answering (VideoQA) is challenging given its multimodal combination of visual understanding and natural language processing. While most existing approaches ignore the appearance-motion information at different temporal scales, it unknown how to incorporate multilevel processing capacity a deep learning model with such multiscale information. Targeting these issues, this paper proposes novel Multilevel Hierarchical Network (MHN) sampling for VideoQA. MHN comprises two modules,...
Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This an opportune time artificial intelligence (AI) be included from start at this and all phases that lead up experiments. second annual workshop organized by AI4EIC working group, which recently took place, centered on exploring current prospective application areas of AI EIC. not only beneficial EIC, but also provides valuable...
Clarifying the salt ion composition characteristics and influence factors of soil salinization wasteland in Kashgar River Basin is high importance for saline land improvement utilization this region. We studied salinity through classical statistics, principal component analysis grey relational theory. The results showed that total content had a T-shaped distribution pattern profile. As most important ions, Cl−, Na+, SO42− have vertical differentiation from top to bottom Correlation was...
Titanium is widely used as surgical bone implants due to its excellent mechanical properties, corrosion resistance, and good biocompatibility. However, chronic inflammation bacterial infections caused by titanium implants, they are still at risk of failure in interfacial integration severely limiting their broad clinical application. In this work, chitosan gels crosslinked with glutaraldehyde were prepared successfully loaded silver nanoparticles (nAg) catalase nanocapsules (n (CAT)) achieve...
The rapid development of mobile computing (e.g., health, payments, and smart homes) has brought great convenience to our lives. It is well-known that the security privacy user information from these applications services critical. Without prevention provided by an authentication mechanism, safety vulnerabilities may accumulate, such as illegal intrusion access resulting in data leakage fraudulent abuse. Luckily, two-factor (2FA) protocols can secure communication for computing. As we...
Recent studies show that the novel wireless charging technology can extend lifetime of Wireless Sensor Networks (WSNs) towards perpetual operations. Recharging Vehicles (RVs) be applied in WSNs to recharge sensors conveniently via devices. Most existing work focused only on energy replenishment whereas ignored sensor activity management. In this paper, we propose a new framework jointly schedule and recharging save traveling RVs. First, two schemes manage activity: balanced clustering...
Abstract. We analyze a multi-day photochemical smog episode to understand the oxidative capacity and radical chemistry of polluted atmosphere in Hong Kong Pearl River Delta (PRD) region. A box model based on Master Chemical Mechanism (MCM v3.2) is constrained by an intensive set field observations elucidate budgets ROX (ROX=OH+HO2+RO2) NO3 radicals. Highly abundant precursors (i.e., O3, HONO carbonyls), nitrogen oxides (NOX) volatile organic compounds (VOCs) facilitate strong production...
Nicotine is a potent parasympathomimetic stimulant and an important natural alkaloid mainly found in the Nicotiana genus of plants. It can directly threaten ecological security human health tobacco waste, wastewater, other forms production. Therefore, it basis nicotine pollution prevention great application value to explore efficient wide range nicotinophilic bacteria for industry environmental protection. In this study, one bacterium was isolated from soil, which accumulated waste over 50...
Abstract. The amount of impervious surface is an important indicator in the monitoring intensity human activity and environmental change. use remote sensing techniques only means accurately carrying out global mapping surfaces covering large areas. Optical imagery can capture reflectance characteristics, while synthetic aperture radar (SAR) images be used to provide information on structure dielectric properties materials. In addition, night-time light (NTL) detect thus a priori...