Region-aware scattering convolution networks for facial beauty prediction. - Lingyu Liang; Duorui Xie; Lianwen Jin; Jie Xu 041; Mengru Li; Luojun Lin (ICIP, 2017)

SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction. - Lingyu Liang; Luojun Lin; Lianwen Jin; Duorui Xie; Mengru Li (ICPR, 2018)

R2-ResNeXt: A ResNeXt-Based Regression Model with Relative Ranking for Facial Beauty Prediction. - Luojun Lin; Lingyu Liang; Lianwen Jin (ICPR, 2018)

Attribute-Aware Convolutional Neural Networks for Facial Beauty Prediction. - Luojun Lin; Lingyu Liang; Lianwen Jin; Weijie Chen 006 (IJCAI, 2019)

SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification. - Songxuan Lai; Lianwen Jin; Luojun Lin; Yecheng Zhu; Huiyun Mao (AAAI, 2020)

Unsupervised Image Classification for Deep Representation Learning. - Weijie Chen 006; Shiliang Pu; Di Xie; Shicai Yang; Yilu Guo; Luojun Lin (ECCV Workshops (2), 2020)

Action Recognition Using Attention-Joints Graph Convolutional Neural Networks. - Tasweer Ahmad; Huiyun Mao; Luojun Lin; Guozhi Tang (IEEE Access, 2020)

Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation. - Weijie Chen 006; Luojun Lin; Shicai Yang; Di Xie; Shiliang Pu; Yueting Zhuang; Wenqi Ren (CoRR, 2021)

Semi-Supervised Domain Generalization in Real World: New Benchmark and Strong Baseline. - Luojun Lin; Han Xie; Zhifeng Yang; Zhishu Sun; Wenxi Liu; Yuanlong Yu; Weijie Chen 006; Shicai Yang; Di Xie (CoRR, 2021)

Skeleton-based action recognition using sparse spatio-temporal GCN with edge effective resistance. - Tasweer Ahmad; Lianwen Jin; Luojun Lin; Guozhi Tang (Neurocomputing, 2021)

Graph Convolutional Neural Network for Human Action Recognition: A Comprehensive Survey. - Tasweer Ahmad; Lianwen Jin; Xin Zhang 013; Songxuan Lai; Guozhi Tang; Luojun Lin (IEEE Trans. Artif. Intell., 2021)

Slimmable Domain Adaptation. - Rang Meng; Weijie Chen 006; Shicai Yang; Jie Song 011; Luojun Lin; Di Xie; Shiliang Pu; Xinchao Wang; Mingli Song; Yueting Zhuang (CVPR, 2022)

Dynamic Domain Generalization. - Zhishu Sun; Zhifeng Shen; Luojun Lin; Yuanlong Yu; Zhifeng Yang; Shicai Yang; Weijie Chen 006 (IJCAI, 2022)

Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation. - Weijie Chen 006; Luojun Lin; Shicai Yang; Di Xie; Shiliang Pu; Yueting Zhuang (IROS, 2022)

SynSig2Vec: Forgery-Free Learning of Dynamic Signature Representations by Sigma Lognormal-Based Synthesis and 1D CNN. - Songxuan Lai; Lianwen Jin; Yecheng Zhu; Zhe Li 046; Luojun Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Regression Guided by Relative Ranking Using Convolutional Neural Network (R$^3$3CNN) for Facial Beauty Prediction. - Luojun Lin; Lingyu Liang; Lianwen Jin (IEEE Trans. Affect. Comput., 2022)

FBPFormer: Dynamic Convolutional Transformer for Global-Local-Contexual Facial Beauty Prediction. - Qipeng Liu 004; Luojun Lin; Zhifeng Shen; Yuanlong Yu (ICANN (10), 2023)

Customized Automatic Face Beautification. - Wang Chen; Peizhen Chen; Weijie Chen 006; Luojun Lin (ICASSP, 2023)

Periodically Exchange Teacher-Student for Source-Free Object Detection. - Qipeng Liu 004; Luojun Lin; Zhifeng Shen; Zhifeng Yang (ICCV, 2023)

Unsupervised Prompt Tuning for Text-Driven Object Detection. - Weizhen He; Weijie Chen 006; Binbin Chen; Shicai Yang; Di Xie; Luojun Lin; Donglian Qi; Yueting Zhuang (ICCV, 2023)

Run and Chase: Towards Accurate Source-Free Domain Adaptive Object Detection. - Luojun Lin; Zhifeng Yang; Qipeng Liu 004; Yuanlong Yu; Qifeng Lin (ICME, 2023)

Adapt then Generalize: A Simple Two-Stage Framework for Semi-Supervised Domain Generalization. - Han Xie; Zhifeng Shen; Shicai Yang; Weijie Chen 006; Luojun Lin (ICME, 2023)

A Multiple Prediction Mechanisms Ensemble for Complex Remote Sensing Scenes. - Qifeng Lin; Luojun Lin; Yuanlong Yu; Gang Fu (ACM Multimedia, 2023)

Parameter Exchange for Robust Dynamic Domain Generalization. - Luojun Lin; Zhifeng Shen; Zhishu Sun; Yuanlong Yu; Lei Zhang 038; Weijie Chen 006 (ACM Multimedia, 2023)

MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction. - Luojun Lin; Zhifeng Shen; Jia-Li Yin; Qipeng Liu 004; Yuanlong Yu; Weijie Chen 006 (ACM Multimedia, 2023)

Distilling Vision-Language Foundation Models: A Data-Free Approach via Prompt Diversification. - Yunyi Xuan; Weijie Chen 006; Shicai Yang; Di Xie; Luojun Lin; Yueting Zhuang (ACM Multimedia, 2023)

Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion Models. - Weijie Chen 006; Haoyu Wang 016; Shicai Yang; Lei Zhang 038; Wei Wei 008; Yanning Zhang 001; Luojun Lin; Di Xie; Yueting Zhuang (CoRR, 2023)

MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization. - Zhaozhe Hu; Jia-Li Yin; Bin Chen 020; Luojun Lin; Bo-Hao Chen; Ximeng Liu (ICASSP, 2024)

No-Reference Segmentation Annotation Quality Assessment. - Zheng Lin 005; Zheng-Peng Duan; Xuying Zhang; Luojun Lin (ICME, 2024)

Slow-Fast Adaptation for Source-Free Object Detection. - Luojun Lin; Qipeng Liu 004; Xiangwei Zheng 003; Zheng Lin 005 (ICME, 2024)

Learning feature alignment across attribute domains for improving facial beauty prediction. - Zhishu Sun; Luojun Lin; Yuanlong Yu; Lianwen Jin (Expert Syst. Appl., 2024)

Dynamic Attentive Convolution for Facial Beauty Prediction. - Zhishu Sun; Zilong Xiao; Yuanlong Yu; Luojun Lin (IEICE Trans. Inf. Syst., 2024)

You only label once: A self-adaptive clustering-based method for source-free active domain adaptation. - Zhishu Sun; Luojun Lin; Yuanlong Yu (IET Image Process., 2024)

Semi-supervised domain generalization with evolving intermediate domain. - Luojun Lin; Han Xie; Zhishu Sun; Weijie Chen 006; Wenxi Liu; Yuanlong Yu; Lei Zhang 038 (Pattern Recognit., 2024)

Better Together: Data-Free Multi-Student Coevolved Distillation. - Weijie Chen 006; Yunyi Xuan; Shicai Yang; Di Xie; Luojun Lin; Yueting Zhuang (Knowl. Based Syst., 2024)

Adapt Anything: Tailor Any Image Classifier Across Domains and Categories Using Text-to-Image Diffusion Models. - Weijie Chen 006; Haoyu Wang 016; Shicai Yang; Lei Zhang 054; Wei Wei 008; Yanning Zhang 001; Luojun Lin; Di Xie; Yueting Zhuang (IEEE Trans. Big Data, 2025)

Synthetic-to-Real Camouflaged Object Detection. - Zhihao Luo; Luojun Lin; Zheng Lin 005 (CoRR, 2025)