- Kai Hu, Zhuoyuan Wu, Zhuoyao Zhong, Weihong Lin, Lei Sun, and Qiang Huo, “A Question-Answering Approach to Key Value Pair Extraction from Form-like Document Images”, AAAI Conference on Artificial Intelligence, 2023. (First two authors are interns)
- Zhuoyao Zhong, Jiawei Wang, Haiqing Sun, Kai Hu, Erhan Zhang, Lei Sun, and Qiang Huo, “A Hybrid Approach to Document Layout Analysis for Heterogeneous Document Images”, submitted to IEEE International Conference on Document Analysis and Recognition (ICDAR), 2023.
- Weihong Lin, Qifang Gao, Lei Sun, Zhuoyao Zhong, Kai Hu, Qin Ren, and Qiang Huo, “ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents”, IEEE International Conference on Document Analysis and Recognition (ICDAR), 2021. (ICDAR 2021 Best Paper Award, arxiv previewed version [pdf])
- Chixiang Ma, Lei Sun, Zhuoyao Zhong, and Qiang Huo, “ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks”, Pattern Recognition, 2020. (arxiv previewed version [pdf])
- Zhuoyao Zhong, Lei Sun, and Qiang Huo, “An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection Approaches”, International Journal on Document Analysis and Recognition (IJDAR), 2019 [pdf].
- Zhuoyao Zhong, Lei Sun, and Qiang Huo, “Improved Localization Accuracy by LocNet for Faster R-CNN based Text Detection in Natural Scene Images”, Pattern Recognition, 2019 [pdf].
- Chixiang Ma*, Zhuoyao Zhong*, Lei Sun, and Qiang Huo, “A Relation Network Based Approach to Curved Text Detection”, IEEE International Conference on Document Analysis and Recognition (ICDAR), 2019. ( * Equal contribution)
- Zhuoyao Zhong, Lei Sun, and Qiang Huo, “A Teacher-Student Learning based Born-Again Training Approach to Improving Scene Text Detection Accuracy”, IEEE International Conference on Document Analysis and Recognition (ICDAR), 2019.
- Zhida Huang*, Zhuoyao Zhong*, Lei Sun, and Qiang Huo, “Mask R-CNN With Pyramid Attention Network for Scene Text Detection”, IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 [pdf]. ( * Equal contribution)
- Wei Jia*, Zhuoyao Zhong*, Lei Sun, and Qiang Huo, “A CNN-based Approach to Detecting Text from Images of Whiteboards and Handwritten Notes”, IEEE International Conference on Frontiers in Handwriting Recognition (ICFHR), 2018 [pdf]. ( * Equal contribution, oral presentation)
- Shuangping Huang, Zhuoyao Zhong, Lianwen Jin, Shuye, Zhang, and Haobin Wang, “DropRegion Training of Inception Font Network for High-Performance Chinese Font Recognition”, Pattern Recognition, 77: 395-411, 2018 [pdf]. (First inventor)
- Zhuoyao Zhong, Lei Sun, and Qiang Huo, “Improved Localization Accuracy by LocNet for Faster R-CNN based Text Detection”, IEEE International Conference on Document Analysis and Recognition (ICDAR), 2017 [pdf]. (Oral presentation)
- Wei Jia, Lei Sun, Zhuoyao Zhong, Xiongjian Mo, Guoen Ma, and Qiang Huo, “A Robust Approach to Detecting Text from Images of Whiteboards and Handwritten Notes”, IEEE International Conference on Document Analysis and Recognition (ICDAR), 2017 [pdf]. (Oral presentation)
- Zhuoyao Zhong, Lianwen Jin, and Shuangping Huang, “DeepText: A New Approach for Text Proposal Generation and Text Detection in Natural Images”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 [pdf][code]. (Oral presentation, arxiv previewed version [pdf])
- Zhuoyao Zhong, Weishen Pan, Lianwen Jin, Harold Mouchere and Christian Viard-Gaudin, “SpottingNet: Learning the Similarity of Word Images with Convolutional Neural Network for Word Spotting in Handwritten Historical Documents”, IEEE International Conference on Frontiers in Handwriting Recognition (ICFHR), 2016 [pdf]. (Oral presentation)
- Lianwen Jin, Zhuoyao Zhong, Zhao Yang, Weixin, Yang, Zecheng Xie and Jun Sun, “Applications of Deep Learning for Handwritten Chinese Character Recognition: A Review”, Acta Automatica Sinica, 42(8): 1125-1142, 2016 [pdf].
- Zhuoyao Zhong, Lianwen Jin, and Zecheng Xie, “High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature Maps”, IEEE International Conference on Document Analysis and Recognition (ICDAR), 2015 [pdf][code]. (Oral presentation)
- Zhuoyao Zhong, Lianwen Jin, and Ziyong Feng, “Multi-Font Printed Chinese Character Recognition using Multi-Pooling Convolutional Neural Network”, IEEE International Conference on Document Analysis and Recognition (ICDAR), 2015 [pdf][SCUT-SPCCI Dataset]. (Oral presentation)
