Pengcheng Li

Pengcheng Li

University of Rochester

H-index: 10

North America-United States

About Pengcheng Li

Pengcheng Li, With an exceptional h-index of 10 and a recent h-index of 7 (since 2020), a distinguished researcher at University of Rochester, specializes in the field of Programming Systems, Compilers, Runtimes..

His recent articles reflect a diverse array of research interests and contributions to the field:

Predicting reuse interval for optimized web caching: an LSTM-based machine learning approach

Graph neural networks based memory inefficiency detection using selective sampling

Exploring gnn based program embedding technologies for binary related tasks

Graphspy: Fused program semantic embedding through graph neural networks for memory efficiency

Hermes: an efficient federated learning framework for heterogeneous mobile clients

Exploring General Intelligence of Program Analysis for Multiple Tasks

Squeezing SGD Parallelization Performance in Distributed Training Using Delayed Averaging

Accl: Architecting highly scalable distributed training systems with highly efficient collective communication library

Pengcheng Li Information

University

Position

Ph.D. of Computer Science ; Google (present)

Citations(all)

374

Citations(since 2020)

276

Cited By

180

hIndex(all)

10

hIndex(since 2020)

7

i10Index(all)

12

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Pengcheng Li Skills & Research Interests

Programming Systems

Compilers

Runtimes.

Top articles of Pengcheng Li

Predicting reuse interval for optimized web caching: an LSTM-based machine learning approach

2022/11/13

Pengcheng Li
Pengcheng Li

H-Index: 8

Yongbin Gu
Yongbin Gu

H-Index: 3

Graph neural networks based memory inefficiency detection using selective sampling

2022/11/13

Exploring gnn based program embedding technologies for binary related tasks

2022/5/16

Graphspy: Fused program semantic embedding through graph neural networks for memory efficiency

2021/12/5

Hermes: an efficient federated learning framework for heterogeneous mobile clients

2021/10/25

Exploring General Intelligence of Program Analysis for Multiple Tasks

2021/10/6

Squeezing SGD Parallelization Performance in Distributed Training Using Delayed Averaging

2021/10/6

Pengcheng Li
Pengcheng Li

H-Index: 8

Yawen Zhang
Yawen Zhang

H-Index: 3

Accl: Architecting highly scalable distributed training systems with highly efficient collective communication library

IEEE Micro

2021/6/22

Uniform lease vs. LRU cache: Analysis and evaluation

2021/6/22

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

arXiv preprint arXiv:2011.09501

2020/11/18

Phoebe: Reuse-aware online caching with reinforcement learning for emerging storage models

arXiv preprint arXiv:2011.07160

2020/11/13

Nan Wu
Nan Wu

H-Index: 2

Pengcheng Li
Pengcheng Li

H-Index: 8

High Throughput CNN Inference and Training with In-Cache Computation

2020/10/18

Lease cache memory devices and methods

2020/10/1

Learning forward reuse distance

arXiv preprint arXiv:2007.15859

2020/7/31

Pengcheng Li
Pengcheng Li

H-Index: 8

Yongbin Gu
Yongbin Gu

H-Index: 3

DaSGD: Squeezing SGD parallelization performance in distributed training using delayed averaging

arXiv preprint arXiv:2006.00441

2020/5/31

Variable cache for non-volatile memory

2020/4/14

See List of Professors in Pengcheng Li University(University of Rochester)

Co-Authors

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