Pengcheng Shen

Orcid: 0000-0001-9371-8713

According to our database1, Pengcheng Shen authored at least 20 papers between 2013 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
ALSNAP: Attention-based long and short-period network security situation prediction.
Ad Hoc Networks, November, 2023

2021
Federated Face Recognition.
CoRR, 2021

A Two-DOF Ultrasonic Motor Based on Longitudinal and Bending-Bending Vibrations for Manipulator.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

Scribble-Supervised Semantic Segmentation Inference.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Wasserstein Coupled Graph Learning for Cross-Modal Retrieval.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Consistent Instance False Positive Improves Fairness in Face Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spherical Confidence Learning for Face Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Graph Game Embedding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Assembly consistency improvement of straightness error of the linear axis based on the consistency degree and GA-MSVM-I-KM.
J. Intell. Manuf., 2020

Distribution Distillation Loss: Generic Approach for Improving Face Recognition from Hard Samples.
CoRR, 2020

Improving Face Recognition from Hard Samples via Distribution Distillation Loss.
Proceedings of the Computer Vision - ECCV 2020, 2020

CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Predicting Rice Grain Yield Based on Dynamic Changes in Vegetation Indexes during Early to Mid-Growth Stages.
Remote. Sens., 2019

2016
Distributed Active Learning.
IEEE Access, 2016

Distributed Semi-Supervised Metric Learning.
IEEE Access, 2016

2015
Minimum Total Error Entropy Method for Parameter Estimation.
IEEE Trans. Signal Process., 2015

Distributed Vector Quantization Based on Kullback-Leibler Divergence.
Entropy, 2015

2014
Distributed Information Theoretic Clustering.
IEEE Trans. Signal Process., 2014

2013
Diffusion Information Theoretic Learning for Distributed Estimation Over Network.
IEEE Trans. Signal Process., 2013

Local Feature Extraction and Information Bottleneck-Based Segmentation of Brain Magnetic Resonance (MR) Images.
Entropy, 2013


  Loading...