53 citations · 104 across the 14 of their papers we have counts for
14 papers
Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling
Yongshuai Huang, Ning Lu, Dapeng Chen +5
Table structure recognition aims to extract the logical and physical structure of unstructured table images into a machine-readable format. The latest end-to-end image-to-text appr…
Cycle Representation Learning for Inductive Relation Prediction
Zuoyu Yan, Tengfei Ma, Liangcai Gao +2
In recent years, algebraic topology and its modern development, the theory of persistent homology, has shown great potential in graph representation learning. In this paper, based…
Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer
Wenqi Zhao, Liangcai Gao, Zuoyu Yan +3
Encoder-decoder models have made great progress on handwritten mathematical expression recognition recently. However, it is still a challenge for existing methods to assign attenti…
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding
Shuai Peng, Ke Yuan, Liangcai Gao +1
Large-scale pre-trained models like BERT, have obtained a great success in various Natural Language Processing (NLP) tasks, while it is still a challenge to adapt them to the math-…
Automatic Description Construction for Math Expression via Topic Relation Graph
Ke Yuan, Zuoyu Yan, Yibo Li +2
Math expressions are important parts of scientific and educational documents, but some of them may be challenging for junior scholars or students to understand. Nevertheless, const…
Community-based Cyberreading for Information Understanding
Zhuoren Jiang, Xiaozhong Liu, Liangcai Gao +1
Although the content in scientific publications is increasingly challenging, it is necessary to investigate another important problem, that of scientific information understanding.…
Link Prediction with Persistent Homology: An Interactive View
Zuoyu Yan, Tengfei Ma, Liangcai Gao +2
Link prediction is an important learning task for graph-structured data. In this paper, we propose a novel topological approach to characterize interactions between two nodes. Our…
ConvMath: A Convolutional Sequence Network for Mathematical Expression Recognition
Zuoyu Yan, Xiaode Zhang, Liangcai Gao +2
Despite the recent advances in optical character recognition (OCR), mathematical expressions still face a great challenge to recognize due to their two-dimensional graphical layout…
Automatic Generation of Headlines for Online Math Questions
Ke Yuan, Dafang He, Zhuoren Jiang +3
Mathematical equations are an important part of dissemination and communication of scientific information. Students, however, often feel challenged in reading and understanding mat…
Mathematics Content Understanding for Cyberlearning via Formula Evolution Map
Zhuoren Jiang, Liangcai Gao, Ke Yuan +3
Although the scientific digital library is growing at a rapid pace, scholars/students often find reading Science, Technology, Engineering, and Mathematics (STEM) literature dauntin…
Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph
Zhuoren Jiang, Yue Yin, Liangcai Gao +2
While the volume of scholarly publications has increased at a frenetic pace, accessing and consuming the useful candidate papers, in very large digital libraries, is becoming an es…
Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion
Ting-Ting Liang, Satoshi Tsutsui, Liangcai Gao +2
One of the time-consuming routine work for a radiologist is to discern anatomical structures from tomographic images. For assisting radiologists, this paper develops an automatic s…
Preliminary Exploration of Formula Embedding for Mathematical Information Retrieval: can mathematical formulae be embedded like a natural language?
Liangcai Gao, Zhuoren Jiang, Yue Yin +3
While neural network approaches are achieving breakthrough performance in the natural language related fields, there have been few similar attempts at mathematical language related…
Using Deep Learning Method for Classification: A Proposed Algorithm for the ISIC 2017 Skin Lesion Classification Challenge
Wenhao Zhang, Liangcai Gao, Runtao Liu
Skin cancer, the most common human malignancy, is primarily diagnosed visually by physicians [1]. Classification with an automated method like CNN [2, 3] shows potential for challe…