GraphNet: Learning Image Pseudo Annotations for Weakly-Supervised Semantic Segmentation. - Mengyang Pu; Yaping Huang; Qingji Guan; Qi Zou 001 (ACM Multimedia, 2018)

Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification. - Qingji Guan; Yaping Huang; Zhun Zhong; Zhedong Zheng; Liang Zheng 001; Yi Yang 001 (CoRR, 2018)

Making better use of edges for sketch generation. - Xingyuan Zhang; Yaping Huang; Qi Zou 001; Qingji Guan; Junbo Liu (J. Electronic Imaging, 2018)

Mining Objects: Fully Unsupervised Object Discovery and Localization From a Single Image. - Runsheng Zhang; Yaping Huang; Mengyang Pu; Qingji Guan; Jian Zhang; Qi Zou 001 (CoRR, 2019)

Looking ahead: Joint small group detection and tracking in crowd scenes. - Qiulin Ma; Qi Zou; Nan Wang; Qingji Guan; Yanting Pei (J. Vis. Commun. Image Represent., 2020)

Multi-label chest X-ray image classification via category-wise residual attention learning. - Qingji Guan; Yaping Huang (Pattern Recognit. Lett., 2020)

Thorax disease classification with attention guided convolutional neural network. - Qingji Guan; Yaping Huang; Zhun Zhong; Zhedong Zheng; Liang Zheng 001; Yi Yang 001 (Pattern Recognit. Lett., 2020)

Object Discovery From a Single Unlabeled Image by Mining Frequent Itemsets With Multi-Scale Features. - Runsheng Zhang; Yaping Huang; Mengyang Pu; Jian Zhang; Qingji Guan; Qi Zou 001; Haibin Ling (IEEE Trans. Image Process., 2020)

RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth. - Mengyang Pu; Yaping Huang; Qingji Guan; Haibin Ling (ICCV, 2021)

Discriminative Feature Learning for Thorax Disease Classification in Chest X-ray Images. - Qingji Guan; Yaping Huang; Yawei Luo; Ping Liu 004; Mingliang Xu 001; Yi Yang 001 (IEEE Trans. Image Process., 2021)

Chest X-Ray Image Classification with Deep Learning - Qingji Guan (2021)

EDTER: Edge Detection with Transformer. - Mengyang Pu; Yaping Huang; Yuming Liu; Qingji Guan; Haibin Ling (CVPR, 2022)

Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation. - Rumeng Yi; Yaping Huang; Qingji Guan; Mengyang Pu; Runsheng Zhang (IEEE Trans. Image Process., 2022)

The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector. - Caixia Zhou; Yaping Huang; Mengyang Pu; Qingji Guan; Li Huang; Haibin Ling (CVPR, 2023)

An Improved Heteroscedastic Modeling Method for Chest X-ray Image Classification with Noisy Labels. - Qingji Guan; Qinrun Chen; Yaping Huang (Algorithms, 2023)

Joint representation and classifier learning for long-tailed image classification. - Qingji Guan; Zhuangzhuang Li; Jiayu Zhang; Yaping Huang; Yao Zhao (Image Vis. Comput., 2023)

A Hard Knowledge Regularization Method with Probability Difference in Thorax Disease Images. - Qingji Guan; Qinrun Chen; Zhun Zhong; Yaping Huang; Yao Zhao (Knowl. Based Syst., 2023)

MuGE: Multiple Granularity Edge Detection. - Caixia Zhou; Yaping Huang; Mengyang Pu; Qingji Guan; Ruoxi Deng; Haibin Ling (CVPR, 2024)

CLIP-driven Coarse-to-fine Semantic Guidance for Fine-grained Open-set Semi-supervised Learning. - Xiaokun Li; Yaping Huang; Qingji Guan (CVPR, 2025)

Improving Image Inpainting via Adversarial Collaborative Training. - Li Huang; Yaping Huang; Qingji Guan (IEEE Trans. Multim., 2025)

ReFrame: A Resource-Friendly Cloud-Assisted On-Device Deep Learning Framework for Vision Services. - Jianhang Xie; Chuntao Ding; Qingji Guan; Ao Zhou 001; Yidong Li (IEEE Trans. Serv. Comput., 2025)

RINDNet++: Edge Detection for Discontinuity in Reflectance, Illumination, Normal, and Depth. - Mengyang Pu; Yaping Huang; Qingji Guan; Zhihao Liu; Haibin Ling (Int. J. Comput. Vis., 2025)