A5100452710- Advanced Data Storage Technologies
- Wine Industry and Tourism
- Advanced Chemical Sensor Technologies
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Analytical Chemistry and Sensors
- Gas Sensing Nanomaterials and Sensors
- Topic Modeling
- Intelligent Tutoring Systems and Adaptive Learning
- Software Testing and Debugging Techniques
- Blockchain Technology Applications and Security
- Educational Technology and Assessment
- Quantum Information and Cryptography
- Caching and Content Delivery
- Semiconductor materials and devices
- Recommender Systems and Techniques
- Electrostatic Discharge in Electronics
- Cloud Computing and Resource Management
- Horticultural and Viticultural Research
- Online Learning and Analytics
- Parallel Computing and Optimization Techniques
- Algorithms and Data Compression
- Fermentation and Sensory Analysis
- Advancements in Semiconductor Devices and Circuit Design
- Quantum Computing Algorithms and Architecture
East China Normal University
2022-2025
Australian Wine Research Institute
2024
The University of Adelaide
2024
University of California, Riverside
2019
Jilin University
2017
State Key Laboratory of Superhard Materials
2017
In light of the remarkable success large language models (LLMs) in natural understanding and generation, a trend applying LLMs to professional domains with specialized requirements stimulates interest across various fields. It is desirable further understand level intelligence that can be achieved by solving domain-specific problems, as well resources need invested accordingly. This paper studies problem generating high-quality test questions specified knowledge points target cognitive...
Nonvolatile memory (NVM) has the potential as medium for scratchpad (SPM) in embedded devices. Racetrack (RM), particular, is a developing technology that possesses high density and read latency comparable to SRAM. The RM's access operations, however, are based on shift operations. Multiple operations will lead long energy. In this article, SRAM borrowed help shifts reduction. Thus, novel hybrid SRAM+RM SPM presented make use of SRAM's random density. But, there some challenges proposed...
With a view to maintaining the reputation of wine-producing regions among consumers, minimising economic losses caused by wine fraud, and achieving purpose data-driven terroir classification, use an absorbance–transmission fluorescence excitation–emission matrix (A-TEEM) technique has shown great potential based on molecular fingerprinting sample. The effects changes in composition due ageing stability A-TEEM models over time had not been addressed, however, classification blends required...
Predicting hard disk failure effectively and efficiently can prevent the high costs of data loss for storage systems. Disk prediction based on machine learning artificial intelligence has gained notable attention, because its good capabilities. Improving accuracy performance prediction, however, is still a challenging problem. When about to occur, time limited process, including building models predicting. Faster training would promote efficiency model updates, late predictions not only have...
Knowledge tracing models based on deep neural networks are currently widely studied to enhance personalized learning. However, ensure the practical deployment of DNN-based KT models, prediction accuracy, training efficiency, and interpretability should be greatly improved. In this paper, we observe that accuracy can improved by clustering features both students questions. Based observation, a distributed scheme is proposed: (1) it classifies questions technology reduce interaction between...
Electrostatic discharge (ESD) failure is a devastating IC reliability problem. Traditional in-Si PN-junction based on-chip ESD protection structures are becoming unsuitable to at advanced technology nodes due ESD-induced parasitic effects and layout issues [1-3]. On-chip for future chips calls revolutionary solutions. This paper reviews recent advances in developing graphene-based including systematic statistical transient characterization of graphene ribbons (GR) as possible interconnects...