Defang Chen

Orcid: 0000-0003-0833-7401

Affiliations:

Zhejiang University, Hangzhou, Zhejiang, CN

According to our database¹, Defang Chen authored at least 37 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Output Regularization With Cluster-Based Soft Targets.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Multi-exit self-distillation with appropriate teachers.

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., March, 2024

Online adversarial knowledge distillation for graph neural networks.

[BibT_eX]

[DOI]

Expert Syst. Appl., March, 2024

Simple and Fast Distillation of Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Conditional Image Synthesis with Diffusion Models: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Knowledge Distillation with Refined Logits.

[BibT_eX]

[DOI]

CoRR, 2024

Knowledge Translation: A New Pathway for Model Compression.

[BibT_eX]

[DOI]

CoRR, 2024

On the Trajectory Regularity of ODE-based Diffusion Sampling.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fast ODE-based Sampling for Diffusion Models in Around 5 Steps.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Finalizing your reference list with machine learning.

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., November, 2023

Online cross-layer knowledge distillation on graph neural networks with deep supervision.

[BibT_eX]

[DOI]

Jiongyu Guo

Defang Chen

Can Wang

Neural Comput. Appl., October, 2023

SemCKD: Semantic Calibration for Cross-Layer Knowledge Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2023

Domain-Specific Bias Filtering for Single Labeled Domain Generalization.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2023

A Geometric Perspective on Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Knowledge Distillation with Deep Supervision.

[BibT_eX]

[DOI]

Shiya Luo

Defang Chen

Can Wang

Proceedings of the International Joint Conference on Neural Networks, 2023

Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning.

[BibT_eX]

[DOI]

Hailin Zhang

Defang Chen

Can Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Accelerating Diffusion Sampling with Classifier-based Feature Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Holistic Weighted Distillation for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Customizing Synthetic Data for Data-Free Student Learning.

[BibT_eX]

[DOI]

Shiya Luo

Defang Chen

Can Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

JointE: Jointly utilizing 1D and 2D convolution for knowledge graph embedding.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Improving Knowledge Graph Embedding via Iterative Self-Semantic Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2022

Deeply-Supervised Knowledge Distillation.

[BibT_eX]

[DOI]

Shiya Luo

Defang Chen

Can Wang

CoRR, 2022

Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Label-Efficient Domain Generalization via Collaborative Exploration and Generalization.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks.

[BibT_eX]

[DOI]

Jiongyu Guo

Defang Chen

Can Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

Confidence-Aware Multi-Teacher Knowledge Distillation.

[BibT_eX]

[DOI]

Hailin Zhang

Defang Chen

Can Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

Knowledge Distillation with the Reused Teacher Classifier.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Online Adversarial Distillation for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Do We Need to Directly Access the Source Datasets for Domain Generalization?

[BibT_eX]

[DOI]

CoRR, 2021

Exploring the Connection between Knowledge Distillation and Logits Matching.

[BibT_eX]

[DOI]

CoRR, 2021

Distilling Holistic Knowledge with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Cross-Layer Distillation with Semantic Calibration.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Online Knowledge Distillation via Multi-branch Diversity Enhancement.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Online Knowledge Distillation with Diverse Peers.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding.

[BibT_eX]

[DOI]

CoRR, 2019

Defang Chen

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...