HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. - Sheng Zhou 004; Jiajun Bu; Xin Wang 019; Jiawei Chen 007; Bingbing Hu; Defang Chen 001; Can Wang 001 (CoRR, 2019)

Online Knowledge Distillation with Diverse Peers. - Defang Chen 001; Jian-Ping Mei; Can Wang 001; Yan Feng; Chun Chen 001 (AAAI, 2020)

Online Knowledge Distillation via Multi-branch Diversity Enhancement. - Zheng Li 028; Ying Huang 003; Defang Chen 001; Tianren Luo; Ning Cai; Zhigeng Pan (ACCV (4), 2020)

Cross-Layer Distillation with Semantic Calibration. - Defang Chen 001; Jian-Ping Mei; Yuan Zhang; Can Wang 001; Zhe Wang 001; Yan Feng; Chun Chen 001 (AAAI, 2021)

Distilling Holistic Knowledge with Graph Neural Networks. - Sheng Zhou 004; Yucheng Wang; Defang Chen 001; Jiawei Chen 007; Xin Wang 019; Can Wang 001; Jiajun Bu (ICCV, 2021)

Exploring the Connection between Knowledge Distillation and Logits Matching. - Defang Chen 001; Can Wang 001; Yan Feng; Chun Chen 001 (CoRR, 2021)

Do We Need to Directly Access the Source Datasets for Domain Generalization? - Junkun Yuan; Xu Ma; Defang Chen 001; Kun Kuang; Fei Wu 001; Lanfen Lin (CoRR, 2021)

Online Adversarial Distillation for Graph Neural Networks. - Can Wang 001; Zhe Wang 001; Defang Chen 001; Sheng Zhou 004; Yan Feng; Chun Chen 001 (CoRR, 2021)

Knowledge Distillation with the Reused Teacher Classifier. - Defang Chen 001; Jian-Ping Mei; Hailin Zhang 005; Can Wang 001; Yan Feng; Chun Chen 001 (CVPR, 2022)

Confidence-Aware Multi-Teacher Knowledge Distillation. - Hailin Zhang 005; Defang Chen 001; Can Wang 001 (ICASSP, 2022)

Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks. - Jiongyu Guo; Defang Chen 001; Can Wang 001 (IJCNN, 2022)

Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. - Junkun Yuan; Xu Ma; Defang Chen 001; Kun Kuang; Fei Wu 001; Lanfen Lin (ACM Multimedia, 2022)

Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding. - Can Wang 001; Sheng Zhou 004; Kang Yu; Defang Chen 001; Bolang Li; Yan Feng; Chun Chen 001 (WWW, 2022)

Deeply-Supervised Knowledge Distillation. - Shiya Luo; Defang Chen 001; Can Wang 001 (CoRR, 2022)

Improving Knowledge Graph Embedding via Iterative Self-Semantic Knowledge Distillation. - Zhehui Zhou; Defang Chen 001; Can Wang 001; Yan Feng; Chun Chen 001 (CoRR, 2022)

JointE: Jointly utilizing 1D and 2D convolution for knowledge graph embedding. - Zhehui Zhou; Can Wang 001; Yan Feng; Defang Chen 001 (Knowl. Based Syst., 2022)

Customizing Synthetic Data for Data-Free Student Learning. - Shiya Luo; Defang Chen 001; Can Wang 001 (ICME, 2023)

Holistic Weighted Distillation for Semantic Segmentation. - Wujie Sun; Defang Chen 001; Can Wang 001; Deshi Ye; Yan Feng; Chun Chen 001 (ICME, 2023)

Accelerating Diffusion Sampling with Classifier-based Feature Distillation. - Wujie Sun; Defang Chen 001; Can Wang 001; Deshi Ye; Yan Feng; Chun Chen 001 (ICME, 2023)

Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning. - Hailin Zhang 005; Defang Chen 001; Can Wang 001 (ICME, 2023)

Knowledge Distillation with Deep Supervision. - Shiya Luo; Defang Chen 001; Can Wang 001 (IJCNN, 2023)

A Geometric Perspective on Diffusion Models. - Defang Chen 001; Zhenyu Zhou; Jian-Ping Mei; Chunhua Shen; Chun Chen 001; Can Wang 001 (CoRR, 2023)

Domain-Specific Bias Filtering for Single Labeled Domain Generalization. - Junkun Yuan; Xu Ma; Defang Chen 001; Kun Kuang; Fei Wu 001; Lanfen Lin (Int. J. Comput. Vis., 2023)

SemCKD: Semantic Calibration for Cross-Layer Knowledge Distillation. - Can Wang 001; Defang Chen 001; Jian-Ping Mei; Yuan Zhang; Yan Feng; Chun Chen 001 (IEEE Trans. Knowl. Data Eng., 2023)

Online cross-layer knowledge distillation on graph neural networks with deep supervision. - Jiongyu Guo; Defang Chen 001; Can Wang 001 (Neural Comput. Appl., 2023)

Finalizing your reference list with machine learning. - Jian-Ping Mei; Defang Chen 001; Jing Fan; Lianghuai Yang (J. Ambient Intell. Humaniz. Comput., 2023)

Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. - Junkun Yuan; Xu Ma; Defang Chen 001; Fei Wu 001; Lanfen Lin; Kun Kuang (IEEE Trans. Knowl. Data Eng., 2023)

Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding. - Yichen Liu 005; Jiawei Chen 007; Defang Chen 001; Zhehui Zhou; Yan Feng; Can Wang 001 (CIKM, 2024)

Fast ODE-based Sampling for Diffusion Models in Around 5 Steps. - Zhenyu Zhou; Defang Chen 001; Can Wang 001; Chun Chen 001 (CVPR, 2024)

On the Trajectory Regularity of ODE-based Diffusion Sampling. - Defang Chen 001; Zhenyu Zhou; Can Wang 001; Chunhua Shen; Siwei Lyu (ICML, 2024)

Simple and Fast Distillation of Diffusion Models. - Zhenyu Zhou; Defang Chen 001; Can Wang 001; Chun Chen 001; Siwei Lyu (NeurIPS, 2024)

Knowledge Translation: A New Pathway for Model Compression. - Wujie Sun; Defang Chen 001; Jiawei Chen 007; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2024)

Knowledge Distillation with Refined Logits. - Wujie Sun; Defang Chen 001; Siwei Lyu; Genlang Chen; Chun Chen 001; Can Wang 001 (CoRR, 2024)

Online adversarial knowledge distillation for graph neural networks. - Can Wang 001; Zhe Wang 001; Defang Chen 001; Sheng Zhou 004; Yan Feng; Chun Chen 001 (Expert Syst. Appl., 2024)

Multi-exit self-distillation with appropriate teachers. - Wujie Sun; Defang Chen 001; Can Wang 001; Deshi Ye; Yan Feng; Chun Chen 001 (Frontiers Inf. Technol. Electron. Eng., 2024)

Output Regularization With Cluster-Based Soft Targets. - Jian-Ping Mei; Wenhao Qiu; Defang Chen 001; Rui Yan 005; Jing Fan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Conditional Image Synthesis with Diffusion Models: A Survey. - Zheyuan Zhan; Defang Chen 001; Jian-Ping Mei; Zhenghe Zhao; Jiawei Chen 007; Chun Chen 001; Siwei Lyu; Can Wang 001 (Trans. Mach. Learn. Res., 2025)

DICE: Distilling Classifier-Free Guidance into Text Embeddings. - Zhenyu Zhou; Defang Chen 001; Can Wang 001; Chun Chen 001; Siwei Lyu (CoRR, 2025)

Recent Advances on Generalizable Diffusion-generated Image Detection. - Qijie Xu; Defang Chen 001; Jiawei Chen 007; Siwei Lyu; Can Wang 001 (CoRR, 2025)

Geometric Regularity in Deterministic Sampling of Diffusion-based Generative Models. - Defang Chen 001; Zhenyu Zhou; Can Wang 001; Siwei Lyu (CoRR, 2025)