activity
20172021
most citedPreliminary Exploration of Formula Embedding for Mathematical Information Retrieval: can mathematical formulae be embedded like a natural language?

23 citations · 34 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20218 cited

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…

cs.IR2021

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…

cs.LG2021

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…

cs.CV20203 cited

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…

cs.IR201723 cited

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…