Shaokai Ye

About Shaokai Ye

Shaokai Ye, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of Animal behavior, Domain Adaptation, Robustness, Model Compression.

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

AmadeusGPT: a natural language interface for interactive animal behavioral analysis

Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics

Enhance the visual representation via discrete adversarial training

Multi-animal pose estimation, identification and tracking with DeepLabCut

SuperAnimal models pretrained for plug-and-play analysis of animal behavior

Towards robust vision transformer

Non-structured DNN weight pruning—Is it beneficial in any platform?

Structadmm: Achieving ultrahigh efficiency in structured pruning for dnns

Shaokai Ye Information

University

Position

___

Citations(all)

1871

Citations(since 2020)

1850

Cited By

431

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

17

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Shaokai Ye Skills & Research Interests

Animal behavior

Domain Adaptation

Robustness

Model Compression

Top articles of Shaokai Ye

AmadeusGPT: a natural language interface for interactive animal behavioral analysis

Neurips 2023

2023/7/10

Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics

BioRxiv

2023/3/17

Enhance the visual representation via discrete adversarial training

Advances in Neural Information Processing Systems

2022/12/6

SuperAnimal models pretrained for plug-and-play analysis of animal behavior

arXiv preprint arXiv:2203.07436

2022/3/14

Towards robust vision transformer

2022

Non-structured DNN weight pruning—Is it beneficial in any platform?

IEEE transactions on neural networks and learning systems

2021/3/18

Structadmm: Achieving ultrahigh efficiency in structured pruning for dnns

IEEE transactions on neural networks and learning systems

2021/2/15

Adversarial laser beam: Effective physical-world attack to dnns in a blink

2021

Qair: Practical query-efficient black-box attacks for image retrieval

2021

Light-weight calibrator: a separable component for unsupervised domain adaptation

2020

PIM-prune: Fine-grain DCNN pruning for crossbar-based process-in-memory architecture

2020/7/20

Pcnn: Pattern-based fine-grained regular pruning towards optimizing cnn accelerators

2020/7/20

See List of Professors in Shaokai Ye University(École Polytechnique Fédérale de Lausanne)

Co-Authors

academic-engine