Defang Chen

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 31

Top Topics

Graph Embedding

Diffusion Models

Student Learning

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu
On the Trajectory Regularity of ODE-based Diffusion Sampling. CoRR (2024)
Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
Multi-exit self-distillation with appropriate teachers. Frontiers Inf. Technol. Electron. Eng. 25 (4) (2024)
Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen
Online adversarial knowledge distillation for graph neural networks. Expert Syst. Appl. 237 (Part C) (2024)
Wujie Sun, Defang Chen, Jiawei Chen, Yan Feng, Chun Chen, Can Wang
Knowledge Translation: A New Pathway for Model Compression. CoRR (2024)
Jian-Ping Mei, Wenhao Qiu, Defang Chen, Rui Yan, Jing Fan
Output Regularization With Cluster-Based Soft Targets. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Defang Chen, Zhenyu Zhou, Jian-Ping Mei, Chunhua Shen, Chun Chen, Can Wang
A Geometric Perspective on Diffusion Models. CoRR (2023)
Can Wang, Defang Chen, Jian-Ping Mei, Yuan Zhang, Yan Feng, Chun Chen
SemCKD: Semantic Calibration for Cross-Layer Knowledge Distillation. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Jian-Ping Mei, Defang Chen, Jing Fan, Lianghuai Yang
Finalizing your reference list with machine learning. J. Ambient Intell. Humaniz. Comput. 14 (11) (2023)
Shiya Luo, Defang Chen, Can Wang
Customizing Synthetic Data for Data-Free Student Learning. CoRR (2023)
Hailin Zhang, Defang Chen, Can Wang
Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning. ICME (2023)
Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
Holistic Weighted Distillation for Semantic Segmentation. ICME (2023)
Jiongyu Guo, Defang Chen, Can Wang
Online cross-layer knowledge distillation on graph neural networks with deep supervision. Neural Comput. Appl. 35 (30) (2023)
Junkun Yuan, Xu Ma, Defang Chen, Fei Wu, Lanfen Lin, Kun Kuang
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
Accelerating Diffusion Sampling with Classifier-based Feature Distillation. ICME (2023)
Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps. CoRR (2023)
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
Domain-Specific Bias Filtering for Single Labeled Domain Generalization. Int. J. Comput. Vis. 131 (2) (2023)
Hailin Zhang, Defang Chen, Can Wang
Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning. CoRR (2023)
Shiya Luo, Defang Chen, Can Wang
Knowledge Distillation with Deep Supervision. IJCNN (2023)
Shiya Luo, Defang Chen, Can Wang
Customizing Synthetic Data for Data-Free Student Learning. ICME (2023)
Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, Chun Chen
Knowledge Distillation with the Reused Teacher Classifier. CoRR (2022)
Zhehui Zhou, Defang Chen, Can Wang, Yan Feng, Chun Chen
Improving Knowledge Graph Embedding via Iterative Self-Semantic Knowledge Distillation. CoRR (2022)
Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, Chun Chen
Knowledge Distillation with the Reused Teacher Classifier. CVPR (2022)
Jiongyu Guo, Defang Chen, Can Wang
Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks. IJCNN (2022)
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. CoRR (2022)
Hailin Zhang, Defang Chen, Can Wang
Confidence-Aware Multi-Teacher Knowledge Distillation. ICASSP (2022)
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. ACM Multimedia (2022)
Jiongyu Guo, Defang Chen, Can Wang
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision. CoRR (2022)
Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
Accelerating Diffusion Sampling with Classifier-based Feature Distillation. CoRR (2022)
Jiongyu Guo, Defang Chen, Can Wang
Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks. CoRR (2022)
Can Wang, Sheng Zhou, Kang Yu, Defang Chen, Bolang Li, Yan Feng, Chun Chen
Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding. WWW (2022)
Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
Distilling Holistic Knowledge with Graph Neural Networks. ICCV (2021)