A5100507059- Advanced biosensing and bioanalysis techniques
- Gene expression and cancer classification
- Remote Sensing and Land Use
- Speech and Audio Processing
- Speech Recognition and Synthesis
- Educational Systems and Policies
- Infrared Target Detection Methodologies
- Remote Sensing and LiDAR Applications
- Digital Imaging for Blood Diseases
- Advanced Data Compression Techniques
- Neural Networks and Applications
- Music and Audio Processing
- Private Equity and Venture Capital
- Sensor Technology and Measurement Systems
- Medical Imaging and Analysis
- DNA and Nucleic Acid Chemistry
- Advanced Image and Video Retrieval Techniques
- Innovation in Digital Healthcare Systems
- Advanced Image Fusion Techniques
- Multimodal Machine Learning Applications
- Domain Adaptation and Few-Shot Learning
- Remote-Sensing Image Classification
- Engineering Technology and Methodologies
- International Business and FDI
- AI in cancer detection
Northwestern Polytechnical University
2024-2025
Xinjiang University
2023-2025
Shanghai University
2024
Tsinghua University
2023-2024
Tianjin University of Finance and Economics
2024
Institute of Electronics
1990
Real-time detection of Remote Sensing Imagery (RSI) with a wide background and small targets is challenging in various fields. Multimodal data fusion enhancing CNNs Transformers can improve performance. The approach combines complementary information from different modalities leverages CNNs' feature extraction capabilities. capture global learn sequence dependency without requiring large samples. goal to achieve accurate efficient target applications such as fire detection, military...
This paper empirically examines how sources of partner diversity affect the duration international joint ventures (JVs). We argue that synergy effect among multi-party JVs causes complementary advantages and business resource diversity, which is conducive to survival relationship. Our estimation results show partners not only alleviates death risk venture, but also reduces probability sole proprietorship them. Moreover, can significantly stimulate tendency output ventures' R&D innovation,...
Text is ubiquitous in our visual world, conveying crucial information, such as documents, websites, and everyday photographs. In this work, we propose UReader, a first exploration of universal OCR-free visually-situated language understanding based on the Multimodal Large Language Model (MLLM). By leveraging shallow text recognition ability MLLM, only finetuned 1.2% parameters training cost much lower than previous work following domain-specific pretraining finetuning paradigms. Concretely,...
With the development of deep learning, speaker recognition systems have shown increasingly better performance. The generalization ability models is also an important aspect performance evaluation. Typically, a baseline system used to compare against improved demonstrate enhancements. However, we cannot determine differences in learned voiceprint features between and system. This paper introduces based on ECAPA-TDNN model. It utilizes stable learning eliminate sample correlation employs...
Sister chromatid exchange (SCE) is an interchange of genetic material between replication products at homologous loci. Various chemical agents or other environmental physical factors can cause SCE concentrations insufficient to produce significant change in chromosome morphology. A method for automatic detection presented. By searching the zero-crossing points average integrated optical density ratio, SCEs are detected and located accurately. In a preliminary experiment with 266 chromosomes,...
Histopathological images are one of the common diagnostic tools used in medical field. However, complex cellular and tissue structures inside colorectal cancer histopathological make it difficult for physicians to perform efficient diagnosis quantitative analysis. Therefore, this study proposed a multi-task learning-based pathology image classification method Multi-TransPathoNet (A transfer neural network with learning, Multi-TransPathoNet) detection visualization output histopathology...