Yujie Wu

About Yujie Wu

Yujie Wu, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of Brain learning, Neuromorphic computing, Spiking neural network, Machine learning.

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

Advancing Spiking Neural Networks Toward Deep Residual Learning

Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics

Brain-inspired multimodal hybrid neural network for robot place recognition

General spiking neural network framework for the learning trajectory from a noisy mmwave radar

Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots

A framework for the general design and computation of hybrid neural networks

Brain-inspired global-local learning incorporated with neuromorphic computing

H2learn: High-efficiency learning accelerator for high-accuracy spiking neural networks

Yujie Wu Information

University

Position

___

Citations(all)

3510

Citations(since 2020)

3425

Cited By

711

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

25

i10Index(since 2020)

25

Email

University Profile Page

Google Scholar

Yujie Wu Skills & Research Interests

Brain learning

Neuromorphic computing

Spiking neural network

Machine learning

Top articles of Yujie Wu

Advancing Spiking Neural Networks Toward Deep Residual Learning

IEEE Transactions on Neural Networks and Learning Systems

2024/2/8

Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics

Nature Communications

2024/1/4

Brain-inspired multimodal hybrid neural network for robot place recognition

Science Robotics

2023/5/10

General spiking neural network framework for the learning trajectory from a noisy mmwave radar

Neuromorphic Computing and Engineering

2022/9/15

A framework for the general design and computation of hybrid neural networks

Nature Communications

2022/6/14

Brain-inspired global-local learning incorporated with neuromorphic computing

Nature Communications

2022/1/10

H2learn: High-efficiency learning accelerator for high-accuracy spiking neural networks

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2021/12/24

Advancing deep residual learning by solving the crux of degradation in spiking neural networks

arXiv preprint arXiv:2201.07209

2021/12/9

Comprehensive snn compression using admm optimization and activity regularization

IEEE Transactions on Neural Networks and Learning Systems

2021/11/13

ROA: a rapid learning scheme for in-situ memristor networks

Frontiers in Artificial Intelligence

2021/10/15

Exploring adversarial attack in spiking neural networks with spike-compatible gradient

IEEE transactions on neural networks and learning systems

2021/9/2

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning

ijcai.org

2021/6/30

Going deeper with directly-trained larger spiking neural networks

Proceedings of the AAAI conference on artificial intelligence

2021/5/18

HNST: Hybrid Neural State Tracker for High Speed Tracking

2021/4/23

Yujie Wu
Yujie Wu

H-Index: 10

Rong Zhao
Rong Zhao

H-Index: 5

End-to-end implementation of various hybrid neural networks on a cross-paradigm neuromorphic chip

Frontiers in Neuroscience

2021/2/2

Yujie Wu
Yujie Wu

H-Index: 10

Rong Zhao
Rong Zhao

H-Index: 5

脉冲神经网络研究进展综述

2021/1/25

ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks

2021/1/7

Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences

Neural Networks

2020/12/1

A hybrid and scalable brain-inspired robotic platform

Scientific reports

2020/10/23

See List of Professors in Yujie Wu University(Tsinghua University)

Co-Authors

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