A5100694346- Concrete and Cement Materials Research
- Innovative concrete reinforcement materials
- Anomaly Detection Techniques and Applications
- Multimodal Machine Learning Applications
- Reproductive System and Pregnancy
- Endometriosis Research and Treatment
- Recycling and utilization of industrial and municipal waste in materials production
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Asphalt Pavement Performance Evaluation
- Infrastructure Maintenance and Monitoring
- Geotechnical Engineering and Soil Stabilization
- Power Transformer Diagnostics and Insulation
- Speech Recognition and Synthesis
- Human Pose and Action Recognition
- Software System Performance and Reliability
- Advanced Image and Video Retrieval Techniques
- Energy Load and Power Forecasting
- Speech and dialogue systems
- Advanced Battery Materials and Technologies
- Aerosol Filtration and Electrostatic Precipitation
- Time Series Analysis and Forecasting
- Recycled Aggregate Concrete Performance
- Video Surveillance and Tracking Methods
- Advancements in Battery Materials
Shandong Provincial Hospital
2022-2025
North China Electric Power University
2008-2025
Shandong First Medical University
2024
University of Shanghai for Science and Technology
2024
Shaanxi University of Science and Technology
2024
Northeast Normal University
2024
Simon Fraser University
2023
Shandong University
2022-2023
China Three Gorges University
2023
Taiyuan University of Technology
2023
Bioinspired aerogel materials obtained by precisely imitating biological structures demonstrate extraordinary performance.
Document retrieval techniques form the foundation for development of large-scale information systems. The prevailing methodology is to construct a bi-encoder and compute semantic similarity. However, such scalar similarity difficult reflect enough impedes our comprehension results. In addition, this computational process mainly emphasizes global semantics ignores fine-grained relationship between query complex text in document. paper, we propose new method called $\textbf{Ge}$neration...
Predicting the cooling capacity of converter valves is crucial for maintaining stability and efficiency high-voltage direct current (HVDC) systems. This task involves handling complex, multi-dimensional time-series data with strong inter-variable dependencies temporal dynamics. Traditional machine learning methods, while effective in static scenarios, struggle to capture these dependencies, existing deep models often lack ability jointly model spatial relationships. To address challenges, we...
Document retrieval techniques form the foundation for development of large-scale information systems. The prevailing methodology is to construct a bi-encoder and compute semantic similarity. However, such scalar similarity difficult reflect enough impedes our comprehension results. In addition, this computational process mainly emphasizes global semantics ignores fine-grained relationship between query complex text in document. paper, we propose new method called Generation Augmented...
ABSTRACT To reduce carbon emissions of an integrated energy system (IES), and decrease curtailment wind solar due to the “power determined by heat” characteristics combined heat power (CHP) units, this paper proposes a low‐carbon economic optimal scheduling model IES that considers thermal coupled with CHP. First, alleviate coupling electric power, collector (STC)‐CHP unit is developed integrating STC traditional CHP in IES. In addition, hydrogen utilization equipment, including fuel cell...
Converter stations are pivotal in high-voltage direct current (HVDC) systems, enabling power conversion between an alternating (AC) and a (DC) while ensuring efficient stable energy transmission. Fault detection converter is crucial for maintaining their reliability operational safety. This paper focuses on image-based of five common faults: metal corrosion, discoloration desiccant breathers, insulator breakage, hanging foreign objects, valve cooling water leakage. Despite advancements deep...
In order to further explore the performance of mixture with waste tire rubber (WTR) and amorphous poly alpha olefin (APAO) modified asphalt, 12%WTR+4%APAO 15%WTR+4%APAO asphalt mixtures were selected as research objectives. The matrix WTR SBS prepared for comparative analysis. Through design, optimum asphalt-aggregate ratio five was determined respectively. volumetric parameters resilient modulus studied. laboratory performances studied by standard Marshall stability test, wheel tracking...
Ad-hoc search calls for the selection of appropriate answers from a massive-scale corpus. Nowadays, embedding-based retrieval (EBR) becomes promising solution, where deep learning based document representation and ANN techniques are allied to handle this task. However, major challenge is that index can be too large fit into memory, given considerable size answer In work, we tackle problem with Bi-Granular Document Representation, lightweight sparse embeddings indexed standby in memory...
Abstract Background Adenomyosis is a commonly observed benign gynecological disease that affects the quality of life and social psychology women childbearing age. However, because unknown etiology incidence adenomyosis, its pathophysiological mechanism remains unclear; further, no noninvasive, accurate, individualized diagnostic methods are available, treatment efficacy evaluations limited. Notably, interaction between changes in microecological environment female reproductive tract human...
Under the circumstances of China's smart grid construction, this paper designs an intelligent management system based on objective orderly consumption and demand-side management. The basic principles are shown hardware structure is described. Then, main functions suggested, including data collection, load analysis, demand ex-post efficiency assessment. suggested will achieve real-time transferring reading, meet requirement dynamic pricing. Additionally, form a new type two-way interactive...
Channel estimation is very important for suppressing interference and de-multiplexing signals. First, the structure of OFDM receiver system based on IEEE 802.11 a established. Then, least square (LS) channel algorithm mainly studied. Combing with character preamble frame in 802.11a protocol, by using two long training symbol sequences de-noising technology filters, novel simple method to estimate proposed. Simulations are done some aspects such as mean error (MSE), constellation map...
Chinese Spell Checking (CSC) is a widely used technology, which plays vital role in speech to text (STT) and optical character recognition (OCR). Most of the existing CSC approaches relying on BERT architecture achieve excellent performance. However, limited by scale foundation model, BERT-based method does not work well few-shot scenarios, showing certain limitations practical applications. In this paper, we explore using an in-context learning named RS-LLM (Rich Semantic based LLMs)...
We propose XRDMatch, a semi-supervised learning framework that integrates consistency regularization and pseudo-labeling. Using X-ray diffraction patterns as descriptors, it effectively addresses data scarcity by leveraging abundant unlabeled data.
In-context learning (ICL) allows large language models (LLMs) to adapt new tasks directly from the given demonstrations without requiring gradient updates. While recent advances have expanded context windows accommodate more demonstrations, this approach increases inference costs necessarily improving performance. To mitigate these issues, We propose StreamAdapter, a novel that updates model parameters at test time, eliminating need for explicit in-context demonstrations. StreamAdapter...
Converter stations are pivotal in High Voltage Direct Current (HVDC) systems, enabling power conversion between Alternating (AC) and (DC), while ensuring efficient stable energy transmission. Fault detection converter is crucial for maintaining their reliability operational safety. This paper focuses on image-based of five common faults: metal corrosion, discoloration desiccant breathers, insulator breakage, hanging foreign objects, valve cooling water leakage. Despite advancements deep...
Predicting the cooling capacity of converter valves is crucial for maintaining stability and efficiency high-voltage direct current (HVDC) systems. This task involves handling complex, multi-dimensional time-series data with strong inter-variable dependencies temporal dynamics. Traditional machine learning methods, while effective in static scenarios, struggle to capture these dependencies, existing deep models often lack ability jointly model spatial relationships. To address challenges, we...
Magnesium oxychloride cement is an air-hardening cementitious material formed by the reaction of magnesium oxide and chloride solution. This kind has high strength folding pressure ratio, which unmatched performance ordinary concrete. article tests modification status after adding organic solution, provides reference for processing design components in future.