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cs.LG2026
Width-Independent Compressibility of Deep Neural Networks
Hong-Yi Wang, Mingze Wang, Liu Ziyin
It has long been known that well-trained neural networks can be compressed very strongly without affecting their performance, an important phenomenon that remains poorly understood…
quant-ph2026
Measuring unconventional causal structures in monitored dynamics
Hong-Yi Wang, Haifeng Tang, Xiao-Liang Qi
Causality underpins all logical reasoning. However, the causal structure in quantum processes can be far from intuitive, often differing from its classical counterpart in relativit…
nucl-th2026
Revisiting p-B Fusion: Updated Cross-sections, Reactivity, and Energy Balance
Hong-Yi Wang, Yu-Qi Li, Qian Wu +1
Recent experimental progress has substantially improved the available cross-section data for the p-B fusion reaction, particularly in energy regions that previously lacked d…