Shupeng Gui

Shupeng Gui

University of Rochester

H-index: 7

North America-United States

About Shupeng Gui

Shupeng Gui, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at University of Rochester, specializes in the field of Machine Learning, Graph Representation Learning, Adversarial Learning, Model Compression.

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

PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions

UMEC: Unified model and embedding compression for efficient recommendation systems

Gan slimming: All-in-one gan compression by a unified optimization framework

Once-for-all adversarial training: In-situ tradeoff between robustness and accuracy for free

Automatic neural network compression by sparsity-quantization joint learning: A constrained optimization-based approach

Shupeng Gui Information

University

Position

___

Citations(all)

353

Citations(since 2020)

349

Cited By

64

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Shupeng Gui Skills & Research Interests

Machine Learning

Graph Representation Learning

Adversarial Learning

Model Compression

Top articles of Shupeng Gui

PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions

IEEE Transactions on Pattern Analysis and Machine Intelligence

2021/2/23

UMEC: Unified model and embedding compression for efficient recommendation systems

2020/10/2

Gan slimming: All-in-one gan compression by a unified optimization framework

2020/8/23

Once-for-all adversarial training: In-situ tradeoff between robustness and accuracy for free

Advances in Neural Information Processing Systems

2020

Automatic neural network compression by sparsity-quantization joint learning: A constrained optimization-based approach

2020

See List of Professors in Shupeng Gui University(University of Rochester)

Co-Authors

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