A5103127370- Advanced Text Analysis Techniques
- Topic Modeling
- Semantic Web and Ontologies
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Advanced Computing and Algorithms
- Traditional Chinese Medicine Studies
- Advanced Image and Video Retrieval Techniques
- Electrowetting and Microfluidic Technologies
- Vehicle License Plate Recognition
- Microfluidic and Capillary Electrophoresis Applications
- Handwritten Text Recognition Techniques
- Biometric Identification and Security
- Microfluidic and Bio-sensing Technologies
Tsinghua University
2023-2024
Hebei University of Science and Technology
2023
Xiamen University
2014
Recent years have witnessed significant advances brought by microfluidic biochips in automating biochemical protocols. Accurate preparation of fluid samples is an essential component these protocols, where concentration prediction and generation are critical. Equipped with the advantages convenient fabrication control, mixers demonstrate huge potential sample preparation. Although finite element analysis (FEA) most commonly used simulation method for accurate a given mixer, it time-consuming...
New intent discovery is of great value to natural language processing, allowing for a better understanding user needs and providing friendly services. However, most existing methods struggle capture the complicated semantics discrete text representations when limited or no prior knowledge labeled data available. To tackle this problem, we propose novel clustering framework, USNID, <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">u</b>...
New intent discovery is of great value to natural language processing, allowing for a better understanding user needs and providing friendly services. However, most existing methods struggle capture the complicated semantics discrete text representations when limited or no prior knowledge labeled data available. To tackle this problem, we propose novel clustering framework, USNID, unsupervised semi-supervised new discovery, which has three key technologies. First, it fully utilizes mine...
Discovering the semantics of multimodal utterances is essential for understanding human language and enhancing human-machine interactions. Existing methods manifest limitations in leveraging nonverbal information discerning complex unsupervised scenarios. This paper introduces a novel clustering method (UMC), making pioneering contribution to this field. UMC unique approach constructing augmentation views data, which are then used perform pre-training establish well-initialized...
Multimodal biometric recognition is a technology that combines multiple features for identity verification and access control. It can be applied to system control improve security convenience. The basic principles application fields of multimodal have been widely studied applied. By integrating biological such as fingerprints, iris, voice, facial features, etc., higher provided because these high uniqueness unforgeability. Compared with traditional methods, does not require memorizing...
Bag Of computational verbs (BoCV) is a new framework based on verb theory. In this framework, similarities are summed up or averaged. The value of result put into bag as an entry for description in order that many can make the final feature vector implicitly. A novel model called spatiotemporal (SVB) proposed and it trained supervised learning manner two classes classification problem. While application same problem not confined to model. We compare with some baseline methods, e.g. histogram...