A model-free approach for detecting interactions in genetic association studies. - Jiahan Li; Jun Dan; Chunlei Li 006; Rongling Wu (Briefings Bioinform., 2014)

TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective. - Jun Dan; Yang Liu 356; Haoyu Xie; Jiankang Deng; Haoran Xie 004; Xuansong Xie; Baigui Sun (ICCV, 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)

Uncertainty-guided joint unbalanced optimal transport for unsupervised domain adaptation. - Jun Dan; Tao Jin; Hao Chi; Shunjie Dong; Yixuan Shen (Neural Comput. Appl., 2023)

Trust-aware conditional adversarial domain adaptation with feature norm alignment. - Jun Dan; Tao Jin; Hao Chi; Shunjie Dong; Haoran Xie 004; Keying Cao; Xinjing Yang (Neural Networks, 2023)

FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio. - Chao Xu 023; Yang Liu 356; Jiazheng Xing; Weida Wang; Mingze Sun; Jun Dan; Tianxin Huang; Siyuan Li 002; Zhi-Qi Cheng; Ying Tai; Baigui Sun (CVPR, 2024)

HOGDA: Boosting Semi-supervised Graph Domain Adaptation via High-Order Structure-Guided Adaptive Feature Alignment. - Jun Dan; Weiming Liu 005; Mushui Liu; Chunfeng Xie; Shunjie Dong; Guofang Ma; Yanchao Tan; Jiazheng Xing (ACM Multimedia, 2024)

TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering. - Jun Dan; Weiming Liu 005; Chunfeng Xie; Hua Yu 006; Shunjie Dong; Yanchao Tan (NeurIPS, 2024)

TopoFR: A Closer Look at Topology Alignment on Face Recognition. - Jun Dan; Yang Liu 356; Jiankang Deng; Haoyu Xie; Siyuan Li 002; Baigui Sun; Shan Luo 001 (NeurIPS, 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 (ROBIO, 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 001 (CoRR, 2024)

FaceChain-FACT: Face Adapter with Decoupled Training for Identity-preserved Personalization. - Cheng Yu; Haoyu Xie; Lei Shang; Yang Liu 356; Jun Dan; Liefeng Bo; Baigui Sun (CoRR, 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)

Similar norm more transferable: Rethinking feature norms discrepancy in adversarial domain adaptation. - Jun Dan; Mushui Liu; Chunfeng Xie; Jiawang Yu; Haoran Xie 004; Ruokun Li; Shunjie Dong (Knowl. Based Syst., 2024)

PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation. - Haoyu Xie; Changqi Wang; Jian Zhao 006; Yang Liu 356; Jun Dan; Chong Fu; Baigui Sun (Int. J. Comput. Vis., 2024)

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 (AAAI, 2025)

Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment. - Weiming Liu 005; Jun Dan; Fan Wang 020; Xinting Liao; Junhao Dong 001; Hua Yu 006; Shunjie Dong; Lianyong Qi (CVPR, 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)

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)

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 001; Jungong Han (Neural Networks, 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)