1 citations · 1 across the 3 of their papers we have counts for
4 papers
LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation
Shali Jiang, Hua Zheng, Boyang Liu +40
Knowledge distillation (KD) transfers a single scalar prediction from a large foundation model (FM) to compact vertical models (VMs), suffering from diminishing transfer ratio -- t…
Machine learning the arrow of time in solid-state spins
Xiang-Qian Meng, Zhide Lu, Ya-Nan Lu +9
Understanding the emergence of the thermodynamic arrow of time in microscopic systems is of fundamental importance, particularly given that unitary evolution preserves time-reversa…
Dynamical freezing and enhanced magnetometry in an interacting spin ensemble
Ya-Nan Lu, Dong Yuan, Yixuan Ma +10
Understanding and controlling non-equilibrium dynamics in quantum many-body systems is a fundamental challenge in modern physics, with profound implications for advancing quantum t…
Hybrid entanglement and error correction in a scalable quantum network node
Xiu-Ying Chang, Pan-Yu Hou, Wen-Gang Zhang +7
Recent breakthroughs have ushered the quantum network into a new era, where quantum information can be stored, transferred, and processed across multiple nodes on a metropolitan sc…