activity
20242026
most citedDeep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing

4 citations · 15 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Object-Oriented Programming

Tianyang Wang, Ziqian Bi, Keyu Chen +12

Object-Oriented Programming (OOP) has become a crucial paradigm for managing the growing complexity of modern software systems, particularly in fields like machine learning, deep l…

cs.CL20251 cited

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications

Pohsun Feng, Ziqian Bi, Yizhu Wen +14

Artificial intelligence (AI), machine learning, and deep learning have become transformative forces in big data analytics and management, enabling groundbreaking advancements acros…

cs.CL20251 cited

Surveying the MLLM Landscape: A Meta-Review of Current Surveys

Ming Li, Keyu Chen, Ziqian Bi +12

The rise of Multimodal Large Language Models (MLLMs) has become a transformative force in the field of artificial intelligence, enabling machines to process and generate content ac…

cs.CL2025

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer

Benji Peng, Xuanhe Pan, Yizhu Wen +13

This book explores the role of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in driving the progress of big data analytics and management. The book fo…

cs.CL2025

Deep Learning and Machine Learning -- Natural Language Processing: From Theory to Application

Keyu Chen, Cheng Fei, Ziqian Bi +23

With a focus on natural language processing (NLP) and the role of large language models (LLMs), we explore the intersection of machine learning, deep learning, and artificial intel…