A5100611384- Topic Modeling
- Multimodal Machine Learning Applications
- Domain Adaptation and Few-Shot Learning
- Simulation and Modeling Applications
- Global trade and economics
- Evaluation Methods in Various Fields
- Evaluation and Optimization Models
- Regional Development and Environment
- Agriculture Sustainability and Environmental Impact
- Urban and Freight Transport Logistics
- Advanced Manufacturing and Logistics Optimization
- Advanced Fiber Optic Sensors
- E-commerce and Technology Innovations
- Mobile Agent-Based Network Management
- Gut microbiota and health
- Advanced Computational Techniques and Applications
- Civil and Geotechnical Engineering Research
- Complex Network Analysis Techniques
- Food Supply Chain Traceability
- Natural Language Processing Techniques
- Probiotics and Fermented Foods
- International Business and FDI
- Safety and Risk Management
- Service-Oriented Architecture and Web Services
- Noise Effects and Management
Tsinghua University
2023
Hetao College
2021
Nankai University
2018
Huaiyin Institute of Technology
2009-2014
Multimodal semantic understanding often has to deal with uncertainty, which means the obtained messages tend refer multiple targets. Such uncertainty is problematic for our interpretation, including inter- and intra-modal uncertainty. Little effort studied modeling of this particularly in pretraining on unlabeled datasets fine-tuning task-specific downstream datasets. In paper, we project representations all modalities as probabilistic distributions via a Probability Distribution Encoder...
In recent years, the revival of ancestral halls has been rapidly gaining momentum across various regions in China. This paper takes eastern region Hubei Province as a case study and, based on extensive fieldwork, investigates main reasons behind accelerated contemporary China and social issues concealed this phenomenon. The key identified include: (1) serious tendency for excessive comparison construction negative impact values; (2) deep penetration grassroots administrative power into...
This paper aims to enhance students' comprehensive practical abilities in the field of architectural acoustics through teaching reforms, especially terms how effectively apply acoustic knowledge entire process site planning and design. In response disconnect between theory practice traditional physics courses, this proposes introduction a combined experimental model that integrates noise measurement simulation. Through model, students can not only master basic theories principles but also...
The paper points out the importance of storage location optimization in Automated Storage and Retrieval Systems to logistics enterprises, analyzes general situation current assignment methods reveals their shortcomings. It then designs intelligent decision module for assignment, including background flow design, mathematical model construction on optimizing solution based genetic algorithm, operation tested by simulation, etc. Finally, it concludes that provides technical support enterprises...
Internet media has gradually replaced the existence of traditional and become main place for people to express their views opinions on social events. Based huge user base, after events occur, a large number users promote derivation dissemination topics form public opinion. The fast communication process wide coverage have brought higher requirements supervision opinion is an important expression sociological intelligence at present, multisource text mining technology commonly used based...
The urban public logistics information platform will integrate various resources of the city effectively, improve operation efficiency, and reduce cost, enhance integral competitiveness, thus further advance function benefit system. paper has analyzed demand characteristics, main types contents information, requirements data exchange mode platform. Basing on these analyses, it put forward modules structure design platform, carried out instance study by taking Zhanjiang for example, as may...
In this report, we propose a video-language pretraining (VLP) based solution \cite{kevin2022egovlp} for the EPIC-KITCHENS-100 Multi-Instance Retrieval (MIR) challenge. Especially, exploit recently released Ego4D dataset \cite{grauman2021ego4d} to pioneer Egocentric VLP from dataset, objective, and development set. Based on above three designs, develop pretrained model that is able transfer its egocentric video-text representation MIR benchmark. Furthermore, devise an adaptive multi-instance...
The evaluation index system of brand value for transport enterprises is constructed, and the various factors that influence are introduced. On basis confirming weights indexes by a group analytic hierarchy process using established Fuzzy-AHP model, typical enterprise in Huai'an City empirically analyzed calculated, methods given to improve value.
In the field of multimodal understanding and generation, tackling inherent uncertainties is essential for mitigating ambiguous interpretations across multiple targets. We introduce Probability Distribution Encoder (PDE), a versatile, plug-and-play module that utilizes sequence-level feature-level interactions to model these as probabilistic distributions. Furthermore, we demonstrate its adaptability by seamlessly integrating PDE into established frameworks, culminating in models like...
The modular intelligent management information system is an important approach to improve the work efficiency and service satisfaction of container freight station. Firstly, paper describes framework business process station, as well design idea which includes developing flow, overall scheme, function modules, programming, database running system. Finally, it concludes advantages practical application this suggests a prospect on positive significance development technologies in ports.
Modern logistics is the organic part of agricultural product supply chain, and it playing an important role in modern industry. In order to effectively satisfy demands consumers, manufacturing machining enterprises must synthetically consider biologic attributes products characteristics different providers for selecting optimized scheme. According products, main influence factors scheme selection are divided into cost, time, quality, flexibility convenience. Then after calculating distances...
Multimodal semantic understanding often has to deal with uncertainty, which means the obtained messages tend refer multiple targets. Such uncertainty is problematic for our interpretation, including inter- and intra-modal uncertainty. Little effort studied modeling of this particularly in pre-training on unlabeled datasets fine-tuning task-specific downstream datasets. In paper, we project representations all modalities as probabilistic distributions via a Probability Distribution Encoder...