A5100458087- Global Financial Crisis and Policies
- Data Visualization and Analytics
- Advanced Graph Theory Research
- Matrix Theory and Algorithms
- Multimodal Machine Learning Applications
- Graph Labeling and Dimension Problems
- Numerical methods in inverse problems
- Algebraic and Geometric Analysis
- Video Analysis and Summarization
- Time Series Analysis and Forecasting
- Human Pose and Action Recognition
- Complex Systems and Time Series Analysis
- Data Management and Algorithms
- Advanced Mathematical Modeling in Engineering
- Acoustic Wave Phenomena Research
- Financial Risk and Volatility Modeling
- IoT and Edge/Fog Computing
- Advanced Optimization Algorithms Research
- Advanced Measurement and Detection Methods
- Multilevel Inverters and Converters
- Multimedia Communication and Technology
- Advanced biosensing and bioanalysis techniques
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- graph theory and CDMA systems
Shandong University
2020-2025
Georgia State University
2025
Qufu Normal University
2025
Shandong University of Science and Technology
2023-2024
Shandong Academy of Sciences
2024
Northeast Electric Power University
2023-2024
Beijing Forestry University
2024
Wuhan University
2024
Qilu University of Technology
2024
State Forestry and Grassland Administration
2024
We introduce LAVILA, a new approach to learning video-language representations by leveraging Large Language Models (LLMs). repurpose pre-trained LLMs be conditioned on visual input, and finetune them create automatic video narrators. Our auto-generated narrations offer number of advantages, including dense coverage long videos, better temporal synchronization the information text, much higher diversity text. The embedding learned contrastively with these outperforms previous state-of-the-art...
Tetracycline antibiotics are widely used in human medical treatment, control of animal disease, and agricultural feed because their broad spectrum action, high efficiency, low cost. The excessive use arbitrary discharge antibiotic wastewater have become increasingly serious problems, the current sewage-treatment process is not ideal for treating water contaminated with tetracycline antibiotics, leading to prominent pollution imminent need its removal. In order understand necessity removing...
Time-series data-usually presented in the form of lines-plays an important role many domains such as finance, meteorology, health, and urban informatics. Yet, little has been done to support interactive exploration large-scale time-series data, which requires a clutter-free visual representation with low-latency interactions. In this paper, we contribute novel line-segment-based KD-tree method enable analysis time series. Our enables not only fast queries over series selected regions...
Three-dimensional (3D) printing is emerging as an innovative technology, which widely used in cardiovascular disease at bench and bedside. During the last decade, with development of 3D industry, many printed models have been clinic, because it can provide advantage haptic feedback, direct manipulation, enhanced doctors' understanding anatomy underlying pathologies. In addition to preparation models, technology also shows great application potential regenerative medicine has advantages...
Abstract In this paper, we introduce Canis, a high‐level domain‐specific language that enables declarative specifications of data‐driven chart animations. By leveraging data‐enriched SVG charts, its grammar animations can be applied to the charts created by existing construction tools. With designers select marks from partition selected into mark units based on data attributes, and apply animation effects units, with control when start. The Canis compiler automatically synthesizes Lottie...
It is challenging to handle the non-linear power consumption model, complex workflow structures, and diverse user-defined deadlines for energy-efficient scheduling in sustainable cloud computing. Although metaheuristics are very attractive solve this problem, most of existing work regards problem as a black-box ignores use domain knowledge. To make up their shortcomings, paper tailors an energy-aware intelligent algorithm (EIS) with three new mechanisms. First, we derive optimal execution...
We introduce VideoPrism, a general-purpose video encoder that tackles diverse understanding tasks with single frozen model. pretrain VideoPrism on heterogeneous corpus containing 36M high-quality video-caption pairs and 582M clips noisy parallel text (e.g., ASR transcripts). The pretraining approach improves upon masked autoencoding by global-local distillation of semantic embeddings token shuffling scheme, enabling to focus primarily the modality while leveraging invaluable associated...
ABSTRACT The composition of animal gut microbiota is significantly affected by a variety factors. Seasonal variation in environmental factors believed to have significant impact on the mammalian microbiota. Therefore, studying seasonal differences diversity wildlife great importance explore their ecological adaptability. This study compared short‐faced moles ( Scaptochirus moschatus ) spring, summer, and autumn using 16S rRNA amplification sequencing. Our results reveal function Compared...
Plant functional traits are adaptive formed by interactions between plants and the environment. Considering Three-River Headwaters Region as a case study, this study systematically analyzed relationship plant environmental factors in cold regions. The results show that there were significant differences among different vegetation types (herbs, shrubs, arbor plants). Leaf such leaf area (LA), length (LL), width (LW), circumference (LC), shape coefficient (SC) showed same trends herbs, plants....
Background and aims: Grazing mowing are widely adopted management practices for the semiarid steppe in China that profoundly affect greenhouse gas (GHG) flux grassland ecosystems. However, general mechanisms CH4 N2O fluxes response to grazing remain poorly understood. Thus, we conducted year-round measurements of investigate effect on fluxes. Methods: Using manual static chamber chromatography, measured from grazing-exclusion, sites June 2019 2020 Hulunbuir Grassland, Inner Mongolia....
Videos are big, complex to pre-process, and slow train on. State-of-the-art large-scale video models trained on clusters of 32 or more GPUs for several days. As a consequence, academia largely ceded the training large industry. In this paper, we show how still state-of-the-art model single machine with eight consumer-grade in day. We identify three bottlenecks, IO, CPU, GPU computation, optimize each. The result is highly efficient pipeline. For comparable architectures, our pipeline...
This article discusses current trends of intellectual migration process in the world and mechanisms contributing to it. Diasporas considered as factor "brain drain" growth problem a way keeping connections between donor country migrants. Considered CIDESAL project MICAL observatory contributed implement system accounting migrants competence. We analyzed modern technologies identification intelligent used world. Features development Russia were identified, structure processes was through...
We present a novel multi-level representation of time series called OM3 that facilitates efficient interactive progressive visualization large data stored in database and supports various interactions such as resizing, panning, zooming, visual query. Based on our proposed line-segment aggregation, this can produce error-free line visualizations preserve the shape windows arbitrary sizes. To reduce interaction latency, we develop an incremental tree-based query strategy to support...
The recent advance in vision-language models is largely attributed to the abundance of image-text data. We aim replicate this success for video-language models, but there simply not enough human-curated video-text data available. thus resort fine-tuning a model from strong image-language baseline with synthesized instructional resulting then used auto-label millions videos generate high-quality captions. show adapted performs well on wide range benchmarks. For instance, it surpasses best...