activity
20202022
most citedLearning Forward Reuse Distance

7 citations · 11 across the 5 of their papers we have counts for

collaborators

7 papers

physics.optics20221 cited

Deterministic relation between optical polarization and lattice symmetry revealed in ion-doped single microcrystals

Peng Li, Yaxin Guo, Ao Liu +5

Rare-earth ions doped crystals are of great significance for micro-sensing and quantum information, whilst the ions in the crystals emit light with spontaneous partial polarization…

q-fin.ST20212 cited

Predicting Daily Trading Volume via Various Hidden States

Shaojun Ma, Pengcheng Li

Predicting intraday trading volume plays an important role in trading alpha research. Existing methods such as rolling means(RM) and a two-states based Kalman Filtering method have…

cs.LG2020

GRAPHSPY: Fused Program Semantic-Level Embedding via Graph Neural Networks for Dead Store Detection

Yixin Guo, Pengcheng Li, Yingwei Luo +2

Production software oftentimes suffers from the issue of performance inefficiencies caused by inappropriate use of data structures, programming abstractions, and conservative compi…

physics.ins-det2020

Detector tilt considerations in high-energy Bragg coherent diffraction imaging: a simulation study

Siddharth Maddali, Marc Allain, Peng Li +2

This paper addresses three-dimensional signal distortion and image reconstruction issues in x-ray Bragg coherent diffraction imaging (BCDI) in the event of a general non-orthogonal…

cs.LG20207 cited

Learning Forward Reuse Distance

Pengcheng Li, Yongbin Gu

Caching techniques are widely used in the era of cloud computing from applications, such as Web caches to infrastructures, Memcached and memory caches in computer architectures. Pr…

cs.DC20201 cited

DaSGD: Squeezing SGD Parallelization Performance in Distributed Training Using Delayed Averaging

Qinggang Zhou, Yawen Zhang, Pengcheng Li +4

The state-of-the-art deep learning algorithms rely on distributed training systems to tackle the increasing sizes of models and training data sets. Minibatch stochastic gradient de…