Jun Dan

According to our database, Jun Dan authored at least 21 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

EHM: Exploring dynamic alignment and hierarchical clustering in unsupervised domain adaptation via high-order moment-guided contrastive learning.

Tengyue Xu, Jun Dan

Neural Networks, 2025

Synth-CLIP: Synthetic data make CLIP generalize better in data-limited scenarios.

Mushui Liu, Weijie He, Ziqian Lu, Jun Dan, Yunlong Yu, Yingming Li, Xi Li, Jungong Han

Neural Networks, 2025

Fully fine-tuned CLIP models are efficient few-shot learners.

Mushui Liu, Bozheng Li, Jun Dan, Ziqian Lu, Zhao Wang, Yunlong Yu

Knowl. Based Syst., 2025

SNAFusion-MM: Distilling sparse sampled measurements by 2D axial diffusion priors with multi-step matching for 3D inverse problem.

Xiaoyue Li, Tielong Cai, Jun Dan, Sizhao Ma, Kai Shang, Mark D. Butala, Gaoang Wang

Inf. Fusion, 2025

Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment.

Weiming Liu, Jun Dan, Fan Wang, Xinting Liao, Junhao Dong, Hua Yu, Shunjie Dong, Lianyong Qi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation.

Mushui Liu, Yuhang Ma, Zhen Yang, Jun Dan, Yunlong Yu, Zeng Zhao, Zhipeng Hu, Bai Liu, Changjie Fan

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation.

Haoyu Xie, Changqi Wang, Jian Zhao, Yang Liu, Jun Dan, Chong Fu, Baigui Sun

Int. J. Comput. Vis., October, 2024

Similar norm more transferable: Rethinking feature norms discrepancy in adversarial domain adaptation.

Jun Dan, Mushui Liu, Chunfeng Xie, Jiawang Yu, Haoran Xie, Ruokun Li, Shunjie Dong

Knowl. Based Syst., 2024

Quantization of Climate Change Impacts on Renewable Energy Generation Capacity: A Super-Resolution Recurrent Diffusion Model.

Xiaochong Dong, Jun Dan, Yingyun Sun, Yang Liu, Xuemin Zhang, Shengwei Mei

CoRR, 2024

FaceChain-FACT: Face Adapter with Decoupled Training for Identity-preserved Personalization.

Cheng Yu, Haoyu Xie, Lei Shang, Yang Liu, Jun Dan, Liefeng Bo, Baigui Sun

CoRR, 2024

CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic Segmentation.

Mushui Liu, Jun Dan, Ziqian Lu, Yunlong Yu, Yingming Li, Xi Li

CoRR, 2024

Firefighting Infrared-and-Visible Image Fusion via Re-Parameterized Laplacian and Attention-Based Network.

Xinjing Yang, Tao Jin, Hao Chi, Keying Cao, Luo Zhao, Jun Dan

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2024

TopoFR: A Closer Look at Topology Alignment on Face Recognition.

Jun Dan, Yang Liu, Jiankang Deng, Haoyu Xie, Siyuan Li, Baigui Sun, Shan Luo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering.

Jun Dan, Weiming Liu, Chunfeng Xie, Hua Yu, Shunjie Dong, Yanchao Tan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

HOGDA: Boosting Semi-supervised Graph Domain Adaptation via High-Order Structure-Guided Adaptive Feature Alignment.

Jun Dan, Weiming Liu, Mushui Liu, Chunfeng Xie, Shunjie Dong, Guofang Ma, Yanchao Tan, Jiazheng Xing

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio.

Chao Xu, Yang Liu, Jiazheng Xing, Weida Wang, Mingze Sun, Jun Dan, Tianxin Huang, Siyuan Li, Zhi-Qi Cheng, Ying Tai, Baigui Sun

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

2023

Trust-aware conditional adversarial domain adaptation with feature norm alignment.

Jun Dan, Tao Jin, Hao Chi, Shunjie Dong, Haoran Xie, Keying Cao, Xinjing Yang

Neural Networks, November, 2023

Uncertainty-guided joint unbalanced optimal transport for unsupervised domain adaptation.

Jun Dan, Tao Jin, Hao Chi, Shunjie Dong, Yixuan Shen

Neural Comput. Appl., March, 2023

HOMDA: High-Order Moment-Based Domain Alignment for unsupervised domain adaptation.

Jun Dan, Tao Jin, Hao Chi, Yixuan Shen, Jiawang Yu, Jinhai Zhou

Knowl. Based Syst., 2023

TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective.

Jun Dan, Yang Liu, Haoyu Xie, Jiankang Deng, Haoran Xie, Xuansong Xie, Baigui Sun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2014

A model-free approach for detecting interactions in genetic association studies.

Jiahan Li, Jun Dan, Chunlei Li, Rongling Wu

Briefings Bioinform., 2014