A5101381217- Advanced Neural Network Applications
- Radiation Detection and Scintillator Technologies
- Data Stream Mining Techniques
- Semantic Web and Ontologies
- Capital Investment and Risk Analysis
- Simulation Techniques and Applications
- Particle Detector Development and Performance
- Big Data and Business Intelligence
- CCD and CMOS Imaging Sensors
- Advanced Data Storage Technologies
- Academic integrity and plagiarism
University of California, Berkeley
2024
University of Notre Dame
2024
Guangzhou Vocational College of Science and Technology
2023
The scaling laws have become the de facto guidelines for designing large language models (LLMs), but they were studied under assumption of unlimited computing resources both training and inference. As LLMs are increasingly used as personalized intelligent assistants, their customization (i.e., learning through fine-tuning) deployment onto resource-constrained edge devices will more prevalent. An urging open question is how a environment would affect design choices LLM. We study this problem...
Compute-in-memory (CIM) accelerators using non-volatile memory (NVM) devices offer promising solutions for energy-efficient and low-latency Deep Neural Network (DNN) inference execution. However, practical deployment is often hindered by the challenge of dealing with massive amount model weight parameters impacted inherent device variations within computing-in-memory (NVCIM) accelerators. This issue significantly offsets their advantages increasing training overhead, time needed mapping...
Industrial and Operations Research (IEOR) is an interdisciplinary field that leverages mathematical, statistical, computational techniques to design, analyze, optimize complex systems. In the context of Simulation for Enterprise-Scale Systems course, knowledge gained from IEOR can be applied address a range issues related financial modeling, risk analysis, decision- making within corporations. One area where simulation particularly prevalent in markets, price fluctuations create significant...
Aim/Purpose: The purpose of this study is to explore the correlation between contract cheating and online education in China, which has become a major concern due extensive promotion worldwide amid COVID-19 pandemic. Background: Contract cheating, also known as academic ghostwriting, refers act students outsourcing assignments third parties, who complete work on their behalf. With development education, incidence rising progressively. Whilst numerous scholars have conducted research causes,...