Liwen Zhang

Orcid: 0000-0001-8457-2943

Affiliations:
  • Intelligent Science & Technology Academy of CASIC, Beijing, China
  • Harbin Institute of Technology, Harbin, China


According to our database1, Liwen Zhang authored at least 16 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Technique Report of CVPR 2024 PBDL Challenges.
CoRR, 2024

SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization.
Pattern Recognit., October, 2023

Reducing Information Loss for Spiking Neural Networks.
CoRR, 2023

Membrane Potential Batch Normalization for Spiking Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
IM-Loss: Information Maximization Loss for Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Reducing Information Loss for Spiking Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020
Pyramidal Temporal Pooling With Discriminative Mapping for Audio Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Learning Temporal Relations from Semantic Neighbors for Acoustic Scene Classification.
IEEE Signal Process. Lett., 2020

FurcaNeXt: End-to-End Monaural Speech Separation with Dynamic Gated Dilated Temporal Convolutional Networks.
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

ATReSN-Net: Capturing Attentive Temporal Relations in Semantic Neighborhood for Acoustic Scene Classification.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2018
Unsupervised Temporal Feature Learning Based on Sparse Coding Embedded BoAW for Acoustic Event Recognition.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018


  Loading...