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cs.LG2026
Trainability-Oriented Hybrid Quantum Regression via Geometric Preconditioning and Curriculum Optimization
Qingyu Meng, Yangshuai Wang
Quantum neural networks (QNNs) have attracted growing interest for scientific machine learning, yet in regression settings they often suffer from limited trainability under noisy g…
cs.LG2025
Efficient Mathematical Reasoning Models via Dynamic Pruning and Knowledge Distillation
Fengming Yu, Qingyu Meng, Haiwei Pan +1
With the rapid development of deep learning, large language models have shown strong capabilities in complex reasoning tasks such as mathematical equation solving. However, their s…