Hongzhou Lin

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We propose an approach to accelerate gradient-based optimization algorithms by giving them the ability to exploit curvature information using quasi-Newton update rules. The proposed scheme, called QuickeNing, is generic and can be applied to a large class of first-order methods such as incremental and block-coordinate algorithms; it is also compatible with(More)
Ischemia/reperfusion (I/R) injury plays an essential role in renal transplantation, and represents a crucial risk factor for allograft dysfunction and acute renal failure. Modulation of oxidative stress is an effective therapeutic strategy for I/R injury. Perillyl alcohol (POH), a dietary monoterpene with antioxidant activity is found in a variety of(More)
Matrine (MAT) is an active alkaloid extracted from Radix Sophora flavescens. The present study was to investigate whether MAT could effectively treat Adriamycin-induced nephropathy (AIN). AIN was induced in rats using a single injection of Adriamycin (ADR). Renal interleukin-6 (IL-6), IL-10, IL-17 and transforming growth factor-β (TGF-β) levels, and the(More)
We propose a generic approach to accelerate gradient-based optimization algorithms with quasiNewton principles. The proposed scheme, called QuickeNing, can be applied to incremental first-order methods such as stochastic variance-reduced gradient (SVRG) or incremental surrogate optimization (MISO). It is also compatible with composite objectives, meaning(More)
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