3 citations · 3 across the 8 of their papers we have counts for
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cs.IR2024
Towards Automated Model Design on Recommender Systems
Tunhou Zhang, Dehua Cheng, Yuchen He +10
The increasing popularity of deep learning models has created new opportunities for developing AI-based recommender systems. Designing recommender systems using deep neural network…
quant-ph2024
qGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers
Junyao Zhang, Guanglei Zhou, Feng Cheng +6
Noisy Intermediate-Scale Quantum (NISQ) computers are currently limited by their qubit numbers, which hampers progress towards fault-tolerant quantum computing. A major challenge i…
cs.AR2024★ 3 cited
A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models
Cong Guo, Feng Cheng, Zhixu Du +21
The rapid development of large language models (LLMs) has significantly transformed the field of artificial intelligence, demonstrating remarkable capabilities in natural language…