YI JIN

YI JIN

Fudan University

H-index: 8

Asia-China

About YI JIN

YI JIN, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Fudan University, specializes in the field of Embedded Intelligence, Internet-of-Things, AIoT.

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

DAI-NET: Toward communication-aware collaborative training for the industrial edge

Self-aware Collaborative Edge Inference with Embedded Devices for Task-oriented IIoT

Localized Knowledge Distillation Helps IoT Devices Provide High-performance Visual Services

Communication-efficient distributed AI strategies for the IoT edge

Backpropagation with sparsity regularization for spiking neural network learning

Edge-based collaborative training system for artificial intelligence-of-things

Self-aware distributed deep learning framework for heterogeneous IoT edge devices

A neuromorphic processing system for low-power wearable ECG classification

YI JIN Information

University

Position

___

Citations(all)

209

Citations(since 2020)

208

Cited By

22

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

YI JIN Skills & Research Interests

Embedded Intelligence

Internet-of-Things

AIoT

Top articles of YI JIN

DAI-NET: Toward communication-aware collaborative training for the industrial edge

Future Generation Computer Systems

2024/6/1

Self-aware Collaborative Edge Inference with Embedded Devices for Task-oriented IIoT

2023/10/10

Localized Knowledge Distillation Helps IoT Devices Provide High-performance Visual Services

2023/7/2

Communication-efficient distributed AI strategies for the IoT edge

2022/6/1

Backpropagation with sparsity regularization for spiking neural network learning

Frontiers in Neuroscience

2022/4/14

Edge-based collaborative training system for artificial intelligence-of-things

IEEE Transactions on Industrial Informatics

2022/2/1

Self-aware distributed deep learning framework for heterogeneous IoT edge devices

Future Generation Computer Systems

2021/12/1

A neuromorphic processing system for low-power wearable ECG classification

2021/10/7

Graph-based spatio-temporal backpropagation for training spiking neural networks

2021/6/6

A memory-efficient CNN accelerator using segmented logarithmic quantization and multi-cluster architecture

IEEE Transactions on Circuits and Systems II: Express Briefs

2020/11/18

Base-reconfigurable segmented logarithmic quantization and hardware design for deep neural networks

Journal of Signal Processing Systems

2020/11

See List of Professors in YI JIN University(Fudan University)

Co-Authors

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