| Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer W Zhao, L Gao, Z Yan, S Peng, L Du, Z Zhang ICDAR 2021 best poster, 2021 | 63 | 2021 |
| Link Prediction with Persistent Homology: An Interactive View Z Yan, T Ma, L Gao, Z Tang, C Chen ICML 2021, 2021 | 47* | 2021 |
| A deep learning-based formula detection method for PDF documents L Gao, X Yi, Y Liao, Z Jiang, Z Yan, Z Tang 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 46 | 2017 |
| Preliminary Exploration of Formula Embedding for Mathematical Information Retrieval: can mathematical formulae be embedded like a natural language? L Gao, Z Jiang, Y Yin, K Yuan, Z Yan, Z Tang arXiv preprint arXiv:1707.05154, 2017 | 45 | 2017 |
| ConvMath: a convolutional sequence network for mathematical expression recognition Z Yan, X Zhang, L Gao, K Yuan, Z Tang 2020 25th International Conference on Pattern Recognition (ICPR), 4566-4572, 2021 | 20 | 2021 |
| Neural Approximation of Graph Topological Features Z Yan, T Ma, L Gao, Z Tang, Y Wang, C Chen Neurips 2022 spotlight; GTRL 2022 spotlight, 2022 | 16* | 2022 |
| Cycle Representation Learning for Inductive Relation Prediction Z Yan, T Ma, L Gao, Z Tang, C Chen ICML 2022, 2021 | 16 | 2021 |
| Efficiently counting substructures by subgraph gnns without running gnn on subgraphs Z Yan, J Zhou, L Gao, Z Tang, M Zhang arXiv preprint arXiv:2303.10576, 2023 | 5 | 2023 |
| Preliminary exploration of formula embedding for mathematical information retrieval: can mathematical formulae be embedded like a natural language? arXiv preprint arXiv … L Gao, Z Jiang, Y Yin, K Yuan, Z Yan, Z Tang arXiv preprint arxiv:1707.05154, 2017 | 3 | 2017 |
| Automatic Description Construction for Math Expression via Topic Relation Graph K Yuan, Z Yan, Y Li, L Gao, Z Tang arXiv preprint arXiv:2104.11890, 2021 | 2 | 2021 |
| A non-local based segmentation method for Pelvic MR Images Z Yan, L Gao, Z Tang, X Zhang 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 2 | 2019 |
| Cycle Invariant Positional Encoding for Graph Representation Learning Z Yan, T Ma, L Gao, Z Tang, C Chen, Y Wang Learning on Graphs Conferece (LoG 2023) Oral, 2023 | 1 | 2023 |
| An Efficient Subgraph GNN with Provable Substructure Counting Power Z Yan, J Zhou, L Gao, Z Tang, M Zhang | | 2023 |
| An Infantile Hemangioma Dataset IH-2021 and a Deep Learning based Recognition Method on it X Zhang, L Gao, L Li, Z Yan, L Yu 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | | 2021 |
| Neural Approximation of Graph Topological Features–Supplementary Material– Z Yan, T Ma, L Gao, Z Tang, Y Wang, C Chen | | |
