Defang Chen - RankMe

59 papers A* 10A 5B 2Misc 1Journal 40Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analyzing and Improving Fast Sampling of Text-to-Image Diffusion Models. CoRR Zhenyu Zhou, Defang Chen, Siwei Lyu, Chun Chen, Can Wang
2026	A*	`conf`	DICE: Distilling Classifier-Free Guidance into Text Embeddings. AAAI Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu
2025	J	`jnl`	Conditional Image Synthesis with Diffusion Models: A Survey. Trans. Mach. Learn. Res. Zheyuan Zhan, Defang Chen, Jian-Ping Mei, Zhenghe Zhao, Jiawei Chen, Chun Chen, Siwei Lyu, Can Wang
2025	J	`jnl`	DICE: Distilling Classifier-Free Guidance into Text Embeddings. CoRR Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu
2025	J	`jnl`	Geometric Regularity in Deterministic Sampling of Diffusion-based Generative Models. CoRR Defang Chen, Zhenyu Zhou, Can Wang, Siwei Lyu
2025	J	`jnl`	Recent Advances on Generalizable Diffusion-generated Image Detection. CoRR Qijie Xu, Defang Chen, Jiawei Chen, Siwei Lyu, Can Wang
2024	J	`jnl`	Conditional Image Synthesis with Diffusion Models: A Survey. CoRR Zheyuan Zhan, Defang Chen, Jian-Ping Mei, Zhenghe Zhao, Jiawei Chen, Chun Chen, Siwei Lyu, Can Wang
2024	A	`conf`	Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding. CIKM Yichen Liu, Jiawei Chen, Defang Chen, Zhehui Zhou, Yan Feng, Can Wang
2024	A*	`conf`	Fast ODE-based Sampling for Diffusion Models in Around 5 Steps. CVPR Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen
2024	J	`jnl`	Knowledge Distillation with Refined Logits. CoRR Wujie Sun, Defang Chen, Siwei Lyu, Genlang Chen, Chun Chen, Can Wang
2024	J	`jnl`	Knowledge Translation: A New Pathway for Model Compression. CoRR Wujie Sun, Defang Chen, Jiawei Chen, Yan Feng, Chun Chen, Can Wang
2024	J	`jnl`	Multi-exit self-distillation with appropriate teachers. Frontiers Inf. Technol. Electron. Eng. Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
2024	A*	`conf`	On the Trajectory Regularity of ODE-based Diffusion Sampling. ICML Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu
2024	J	`jnl`	On the Trajectory Regularity of ODE-based Diffusion Sampling. CoRR Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu
2024	J	`jnl`	Online adversarial knowledge distillation for graph neural networks. Expert Syst. Appl. Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen
2024	J	`jnl`	Output Regularization With Cluster-Based Soft Targets. IEEE Trans. Neural Networks Learn. Syst. Jian-Ping Mei, Wenhao Qiu, Defang Chen, Rui Yan, Jing Fan
2024	A*	`conf`	Simple and Fast Distillation of Diffusion Models. NeurIPS Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu
2024	J	`jnl`	Simple and Fast Distillation of Diffusion Models. CoRR Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu
2023	J	`jnl`	A Geometric Perspective on Diffusion Models. CoRR Defang Chen, Zhenyu Zhou, Jian-Ping Mei, Chunhua Shen, Chun Chen, Can Wang
2023	A	`conf`	Accelerating Diffusion Sampling with Classifier-based Feature Distillation. ICME Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
2023	A	`conf`	Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning. ICME Hailin Zhang, Defang Chen, Can Wang
2023	J	`jnl`	Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning. CoRR Hailin Zhang, Defang Chen, Can Wang
2023	J	`jnl`	Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. IEEE Trans. Knowl. Data Eng. Junkun Yuan, Xu Ma, Defang Chen, Fei Wu, Lanfen Lin, Kun Kuang
2023	A	`conf`	Customizing Synthetic Data for Data-Free Student Learning. ICME Shiya Luo, Defang Chen, Can Wang
2023	J	`jnl`	Customizing Synthetic Data for Data-Free Student Learning. CoRR Shiya Luo, Defang Chen, Can Wang
2023	J	`jnl`	Domain-Specific Bias Filtering for Single Labeled Domain Generalization. Int. J. Comput. Vis. Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
2023	J	`jnl`	Fast ODE-based Sampling for Diffusion Models in Around 5 Steps. CoRR Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen
2023	J	`jnl`	Finalizing your reference list with machine learning. J. Ambient Intell. Humaniz. Comput. Jian-Ping Mei, Defang Chen, Jing Fan, Lianghuai Yang
2023	A	`conf`	Holistic Weighted Distillation for Semantic Segmentation. ICME Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
2023	B	`conf`	Knowledge Distillation with Deep Supervision. IJCNN Shiya Luo, Defang Chen, Can Wang
2023	J	`jnl`	Online cross-layer knowledge distillation on graph neural networks with deep supervision. Neural Comput. Appl. Jiongyu Guo, Defang Chen, Can Wang
2023	J	`jnl`	SemCKD: Semantic Calibration for Cross-Layer Knowledge Distillation. IEEE Trans. Knowl. Data Eng. Can Wang, Defang Chen, Jian-Ping Mei, Yuan Zhang, Yan Feng, Chun Chen
2022	J	`jnl`	Accelerating Diffusion Sampling with Classifier-based Feature Distillation. CoRR Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
2022	B	`conf`	Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks. IJCNN Jiongyu Guo, Defang Chen, Can Wang
2022	J	`jnl`	Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks. CoRR Jiongyu Guo, Defang Chen, Can Wang
2022	A*	`conf`	Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding. WWW Can Wang, Sheng Zhou, Kang Yu, Defang Chen, Bolang Li, Yan Feng, Chun Chen
2022	Misc	`conf`	Confidence-Aware Multi-Teacher Knowledge Distillation. ICASSP Hailin Zhang, Defang Chen, Can Wang
2022	J	`jnl`	Confidence-Aware Multi-Teacher Knowledge Distillation. CoRR Hailin Zhang, Defang Chen, Can Wang
2022	J	`jnl`	Deeply-Supervised Knowledge Distillation. CoRR Shiya Luo, Defang Chen, Can Wang
2022	J	`jnl`	Improving Knowledge Graph Embedding via Iterative Self-Semantic Knowledge Distillation. CoRR Zhehui Zhou, Defang Chen, Can Wang, Yan Feng, Chun Chen
2022	J	`jnl`	JointE: Jointly utilizing 1D and 2D convolution for knowledge graph embedding. Knowl. Based Syst. Zhehui Zhou, Can Wang, Yan Feng, Defang Chen
2022	A*	`conf`	Knowledge Distillation with the Reused Teacher Classifier. CVPR Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, Chun Chen
2022	J	`jnl`	Knowledge Distillation with the Reused Teacher Classifier. CoRR Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, Chun Chen
2022	A*	`conf`	Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. ACM Multimedia Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
2022	J	`jnl`	Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. CoRR Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
2022	J	`jnl`	Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision. CoRR Jiongyu Guo, Defang Chen, Can Wang
2021	A*	`conf`	Cross-Layer Distillation with Semantic Calibration. AAAI Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen
2021	A*	`conf`	Distilling Holistic Knowledge with Graph Neural Networks. ICCV Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
2021	J	`jnl`	Distilling Holistic Knowledge with Graph Neural Networks. CoRR Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
2021	J	`jnl`	Do We Need to Directly Access the Source Datasets for Domain Generalization? CoRR Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
2021	J	`jnl`	Domain-Specific Bias Filtering for Single Labeled Domain Generalization. CoRR Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
2021	J	`jnl`	Exploring the Connection between Knowledge Distillation and Logits Matching. CoRR Defang Chen, Can Wang, Yan Feng, Chun Chen
2021	J	`jnl`	Online Adversarial Distillation for Graph Neural Networks. CoRR Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen
2020	J	`jnl`	Cross-Layer Distillation with Semantic Calibration. CoRR Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen
2020	—	`conf`	Online Knowledge Distillation via Multi-branch Diversity Enhancement. ACCV (4) Zheng Li, Ying Huang, Defang Chen, Tianren Luo, Ning Cai, Zhigeng Pan
2020	J	`jnl`	Online Knowledge Distillation via Multi-branch Diversity Enhancement. CoRR Zheng Li, Ying Huang, Defang Chen, Tianren Luo, Ning Cai, Zhigeng Pan
2020	A*	`conf`	Online Knowledge Distillation with Diverse Peers. AAAI Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen
2019	J	`jnl`	HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. CoRR Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Bingbing Hu, Defang Chen, Can Wang
2019	J	`jnl`	Online Knowledge Distillation with Diverse Peers. CoRR Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen