Deyin Liu

Orcid: 0000-0002-0371-9921

According to our database1, Deyin Liu authored at least 25 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Jacobian norm with Selective Input Gradient Regularization for interpretable adversarial defense.
Pattern Recognit., January, 2024

A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation.
CoRR, 2024

2023
Verbal-Person Nets: Pose-Guided Multi-Granularity Language-to-Person Generation.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

LipFormer: Learning to Lipread Unseen Speakers Based on Visual-Landmark Transformers.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Generative Metric Learning for Adversarially Robust Open-world Person Re-Identification.
ACM Trans. Multim. Comput. Commun. Appl., January, 2023

Asymmetric Cross-Scale Alignment for Text-Based Person Search.
IEEE Trans. Multim., 2023

LipFormer: Learning to Lipread Unseen Speakers based on Visual-Landmark Transformers.
CoRR, 2023

Image Template Matching via Dense and Consistent Contrastive Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
Pseudo-Pair Based Self-Similarity Learning for Unsupervised Person Re-Identification.
IEEE Trans. Image Process., 2022

Asymmetric Cross-Scale Alignment for Text-Based Person Search.
CoRR, 2022

Improved and Interpretable Defense to Transferred Adversarial Examples by Jacobian Norm with Selective Input Gradient Regularization.
CoRR, 2022

Multi-scale Spatial Representation Learning via Recursive Hermite Polynomial Networks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Auto-encoder based structured dictionary learning for visual classification.
Neurocomputing, 2021

2020
Multi-task image set classification via joint representation with class-level sparsity and intra-task low-rankness.
Pattern Recognit. Lett., 2020

HierTrain: Fast Hierarchical Edge AI Learning With Hybrid Parallelism in Mobile-Edge-Cloud Computing.
IEEE Open J. Commun. Soc., 2020

Medi-Care AI: Predicting medications from billing codes via robust recurrent neural networks.
Neural Networks, 2020

Medi-Care AI: Predicting Medications From Billing Codes via Robust Recurrent Neural Networks.
CoRR, 2020

Multi-Modal Human Action Recognition With Sub-Action Exploiting and Class-Privacy Preserved Collaborative Representation Learning.
IEEE Access, 2020

Auto-Encoder based Structured Dictinoary Learning.
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

2019
Exploring Inter-Instance Relationships within the Query Set for Robust Image Set Matching.
Sensors, 2019

IFFLC: An Integrated Framework of Feature Learning and Classification for Multiple Diagnosis Codes Assignment.
IEEE Access, 2019

2017
Foreign Exchange Rates Forecasting with Convolutional Neural Network.
Neural Process. Lett., 2017

2016
Analytic study on a (2+1)-dimensional nonlinear Schrödinger equation in the Heisenberg ferromagnetism.
Comput. Math. Appl., 2016

A Sea-Land Segmentation Algorithm Based on Sea Surface Analysis.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

2014
A Modified Greedy Algorithm for Wavelet Coefficients Reconstruction.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014


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