4 citations · 6 across the 3 of their papers we have counts for
3 papers
quant-ph2023
Proactively incremental-learning QAOA
Lingxiao Li, Jing Li, Yanqi Song +3
Solving optimization problems with high performance is the target of existing works of Quantum Approximate Optimization Algorithm (QAOA). With this intention, we propose an advance…
cs.LG2023★ 2 cited
Monitoring and Adapting ML Models on Mobile Devices
Wei Hao, Zixi Wang, Lauren Hong +5
ML models are increasingly being pushed to mobile devices, for low-latency inference and offline operation. However, once the models are deployed, it is hard for ML operators to tr…
stat.ME2023★ 4 cited
Huber Principal Component Analysis for Large-dimensional Factor Models
Yong He, Lingxiao Li, Dong Liu +1
Factor models have been widely used in economics and finance. However, the heavy-tailed nature of macroeconomic and financial data is often neglected in the existing literature. To…