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Journal Articles
- 2019
- [j6]Zecheng Xie, Yaoxiong Huang, Lianwen Jin
, Yuliang Liu
, Yuanzhi Zhu, Liangcai Gao, Xiaode Zhang:
Weakly supervised precise segmentation for historical document images. Neurocomputing 350: 271-281 (2019) - 2014
- [j5]Xiaoyan Lin, Liangcai Gao, Zhi Tang, Josef B. Baker, Volker Sorge:
Mathematical formula identification and performance evaluation in PDF documents. Int. J. Document Anal. Recognit. 17(3): 239-255 (2014) - [j4]Luyuan Li, Yongtao Wang, Zhi Tang, Liangcai Gao:
Automatic comic page segmentation based on polygon detection. Multim. Tools Appl. 69(1): 171-197 (2014) - 2013
- [j3]Liangcai Gao, Yongtao Wang, Zhi Tang, Xiaofan Lin:
Newspaper article reconstruction using ant colony optimization and bipartite graph. Appl. Soft Comput. 13(6): 3033-3046 (2013) - 2010
- [j2]Liangcai Gao, Zhi Tang, Jing Fang, Xiaofan Lin:
Multi-page document analysis based on format consistency and clustering. Int. J. Comput. Appl. Technol. 38(4): 306-315 (2010) - [j1]Kui Hu, Zhi Tang, Liangcai Gao, Yadong Mu:
MC-JBIG2: an improved algorithm for Chinese textual image compression. Int. J. Document Anal. Recognit. 13(4): 271-284 (2010)
Conference and Workshop Papers
- 2024
- [c80]Yuxuan Zhou, Liangcai Gao, Zhi Tang, Baole Wei:
Recognition-Guided Diffusion Model for Scene Text Image Super-Resolution. ICASSP 2024: 2940-2944 - [c79]Baole Wei, Minghang He, Liangcai Gao, Duoyou Zhou, Xiang Bai, Zhi Tang:
Maskstr: Guide Scene Text Recognition Models with Masking. ICASSP 2024: 4245-4249 - [c78]Zuoyu Yan, Junru Zhou, Liangcai Gao, Zhi Tang, Muhan Zhang:
An Efficient Subgraph GNN with Provable Substructure Counting Power. KDD 2024: 3702-3713 - 2023
- [c77]Shuai Peng, Di Fu, Yijun Liang, Liangcai Gao, Zhi Tang:
GeoDRL: A Self-Learning Framework for Geometry Problem Solving using Reinforcement Learning in Deductive Reasoning. ACL (Findings) 2023: 13468-13480 - [c76]Yongshuai Huang, Ning Lu, Dapeng Chen, Yibo Li, Zecheng Xie, Shenggao Zhu, Liangcai Gao, Wei Peng:
Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling. CVPR 2023: 11134-11143 - [c75]Jiyao Deng, Yi Zhang, Xinpeng Zhang, Zhi Tang, Liangcai Gao:
An Iterative Graph Learning Convolution Network for Key Information Extraction Based on the Document Inductive Bias. ICDAR (3) 2023: 84-97 - [c74]Xinpeng Zhang
, Jiyao Deng, Liangcai Gao:
A Character-Level Document Key Information Extraction Method with Contrastive Learning. ICDAR (3) 2023: 216-230 - [c73]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang:
Cycle Invariant Positional Encoding for Graph Representation Learning. LoG 2023: 4 - 2022
- [c72]Baole Wei, Ruiqi Jia, Shihan Fu, Xiaoqing Lyu, Liangcai Gao, Zhi Tang:
MIR: A Benchmark for Molecular Image Retrival with a Cross-modal Pretraining Framework. BIBM 2022: 3902-3904 - [c71]Wenqi Zhao
, Liangcai Gao:
CoMER: Modeling Coverage for Transformer-Based Handwritten Mathematical Expression Recognition. ECCV (28) 2022: 392-408 - [c70]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
Cycle Representation Learning for Inductive Relation Prediction. ICML 2022: 24895-24910 - [c69]Shuai Peng, Di Fu, Yong Cao, Yijun Liang, Gu Xu, Liangcai Gao, Zhi Tang:
Compute Like Humans: Interpretable Step-by-step Symbolic Computation with Deep Neural Network. KDD 2022: 1348-1357 - [c68]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen:
Neural Approximation of Graph Topological Features. NeurIPS 2022 - 2021
- [c67]Xinpeng Zhang, Liangcai Gao, Li Li, Zuoyu Yan, Lu Yu:
An Infantile Hemangioma Dataset IH-2021 and a Deep Learning based Recognition Method on it. BIBM 2021: 1697-1699 - [c66]Ziyi Zhu, Liangcai Gao, Yibo Li, Yilun Huang, Lin Du, Ning Lu, Xianfeng Wang:
NTable: A Dataset for Camera-Based Table Detection. ICDAR (2) 2021: 117-129 - [c65]Yibo Li, Yilun Huang, Ziyi Zhu, Lemeng Pan, Yongshuai Huang, Lin Du, Zhi Tang, Liangcai Gao:
Rethinking Table Structure Recognition Using Sequence Labeling Methods. ICDAR (2) 2021: 541-553 - [c64]Wenqi Zhao
, Liangcai Gao, Zuoyu Yan, Shuai Peng, Lin Du, Ziyin Zhang:
Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer. ICDAR (2) 2021: 570-584 - [c63]Ke Yuan, Liangcai Gao, Zhuoren Jiang, Zhi Tang:
Formula Citation Graph Based Mathematical Information Retrieval. ICDAR (1) 2021: 631-647 - [c62]Shuai Peng, Liangcai Gao, Ke Yuan, Zhi Tang:
Image to LaTeX with Graph Neural Network for Mathematical Formula Recognition. ICDAR (2) 2021: 648-663 - [c61]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
Link Prediction with Persistent Homology: An Interactive View. ICML 2021: 11659-11669 - 2020
- [c60]Ke Yuan, Dafang He, Zhuoren Jiang, Liangcai Gao, Zhi Tang, C. Lee Giles
:
Automatic Generation of Headlines for Online Math Questions. AAAI 2020: 9490-9497 - [c59]Zuoyu Yan, Xiaode Zhang, Liangcai Gao, Ke Yuan, Zhi Tang:
ConvMath: A Convolutional Sequence Network for Mathematical Expression Recognition. ICPR 2020: 4566-4572 - 2019
- [c58]Zuoyu Yan, Liangcai Gao, Zhi Tang, Xinpeng Zhang:
A non-local based segmentation method for Pelvic MR Images. BIBM 2019: 1265-1267 - [c57]Yibo Li, Liangcai Gao, Zhi Tang, Qinqin Yan, Yilun Huang:
A GAN-Based Feature Generator for Table Detection. ICDAR 2019: 763-768 - [c56]Yilun Huang, Qinqin Yan, Yibo Li, Yifan Chen, Xiong Wang, Liangcai Gao, Zhi Tang:
A YOLO-Based Table Detection Method. ICDAR 2019: 813-818 - [c55]Liangcai Gao, Yilun Huang, Hervé Déjean, Jean-Luc Meunier, Qinqin Yan, Yu Fang, Florian Kleber
, Eva Maria Lang:
ICDAR 2019 Competition on Table Detection and Recognition (cTDaR). ICDAR 2019: 1510-1515 - 2018
- [c54]Wenhao Zhang, Liangcai Gao, Zhi Tang, Menglong Ran, Zhimiao Lin:
A Benchmark for Automatic Acral Melanoma Preliminary Screening. BIBM 2018: 2829-2831 - [c53]Zhuoren Jiang, Liangcai Gao, Ke Yuan, Zheng Gao, Zhi Tang, Xiaozhong Liu:
Mathematics Content Understanding for Cyberlearning via Formula Evolution Map. CIKM 2018: 37-46 - [c52]Liangcai Gao, Xiaode Zhang, Zhi Tang, Yaoxiong Huang, Lianwen Jin:
A Sequence Labeling Based Approach for Character Segmentation of Historical Documents. DAS 2018: 305-310 - [c51]Ke Yuan, Liangcai Gao, Zhuoren Jiang, Zhi Tang:
Formula Ranking within an Article. JCDL 2018: 123-126 - [c50]Ting-Ting Liang
, Mengyan Sun
, Liangcai Gao, Jing-Jing Lu
, Satoshi Tsutsui:
APNet: Semantic Segmentation for Pelvic MR Image. PRCV (2) 2018: 259-272 - [c49]Zhuoren Jiang, Yue Yin, Liangcai Gao, Yao Lu, Xiaozhong Liu:
Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph. SIGIR 2018: 635-644 - 2017
- [c48]Dong An, Liangcai Gao, Zhuoren Jiang, Runtao Liu, Zhi Tang:
Citation Metadata Extraction via Deep Neural Network-based Segment Sequence Labeling. CIKM 2017: 1967-1970 - [c47]Xiaohan Yi, Liangcai Gao, Yuan Liao, Xiaode Zhang, Runtao Liu, Zhuoren Jiang:
CNN Based Page Object Detection in Document Images. ICDAR 2017: 230-235 - [c46]Liangcai Gao, Xiaohan Yi, Yuan Liao, Zhuoren Jiang, Zuoyu Yan, Zhi Tang:
A Deep Learning-Based Formula Detection Method for PDF Documents. ICDAR 2017: 553-558 - [c45]Xiaode Zhang, Liangcai Gao, Ke Yuan, Runtao Liu, Zhuoren Jiang, Zhi Tang:
A Symbol Dominance Based Formulae Recognition Approach for PDF Documents. ICDAR 2017: 1144-1149 - [c44]Liangcai Gao, Xiaohan Yi, Zhuoren Jiang, Leipeng Hao, Zhi Tang:
ICDAR2017 Competition on Page Object Detection. ICDAR 2017: 1417-1422 - [c43]Runtao Liu, Liangcai Gao, Dong An, Zhuoren Jiang, Zhi Tang:
Automatic Document Metadata Extraction Based on Deep Networks. NLPCC 2017: 305-317 - 2016
- [c42]Leipeng Hao, Liangcai Gao, Xiaohan Yi, Zhi Tang:
A Table Detection Method for PDF Documents Based on Convolutional Neural Networks. DAS 2016: 287-292 - [c41]Jiaze Chen, Liangcai Gao, Zhi Tang:
Information Extraction from Resume Documents in PDF Format. Document Recognition and Retrieval 2016: 1-8 - [c40]Ke Yuan, Liangcai Gao, Yuehan Wang, Xiaohan Yi, Zhi Tang:
A Mathematical Information Retrieval System Based on RankBoost. JCDL 2016: 259-260 - [c39]Liangcai Gao, Ke Yuan, Yuehan Wang, Zhuoren Jiang, Zhi Tang:
The Math Retrieval System of ICST for NTCIR-12 MathIR Task. NTCIR 2016 - [c38]Zhuoren Jiang, Xiaozhong Liu, Liangcai Gao, Zhi Tang:
Community-based Cyberreading for Information Understanding. SIGIR 2016: 789-792 - 2015
- [c37]Zhuoren Jiang, Xiaozhong Liu, Liangcai Gao:
Chronological Citation Recommendation with Information-Need Shifting. CIKM 2015: 1291-1300 - [c36]Sida Li, Liangcai Gao, Zhi Tang, Yinyan Yu:
Cross-reference identification within a document. DRR 2015: 940209 - [c35]Simeng Wang, Liangcai Gao, Yuehan Wang:
Classification of forms with similar layouts based on Mixed Gaussian Weighted Mask. ICDAR 2015: 111-115 - [c34]Yuehan Wang, Liangcai Gao, Simeng Wang, Zhi Tang, Xiaozhong Liu, Ke Yuan:
WikiMirs 3.0: A Hybrid MIR System Based on the Context, Structure and Importance of Formulae in a Document. JCDL 2015: 173-182 - [c33]Xi Xu, Mao Ye, Zhi Tang, Jianbo Xu, Liangcai Gao:
A User-Oriented Special Topic Generation System for Digital Newspaper. NLPCC 2015: 484-491 - [c32]Xiaozhong Liu, Zhuoren Jiang, Liangcai Gao:
Scientific Information Understanding via Open Educational Resources (OER). SIGIR 2015: 645-654 - 2014
- [c31]Joanna Landrum, Liangcai Gao, Zhuoren Jiang, Noriko Hara, Xiaozhong Liu:
Scaffolding of scientific publications with open educational resources (OER). ASIST 2014: 1-5 - [c30]Zhuoren Jiang, Xiaozhong Liu, Liangcai Gao:
Dynamic Topic/Citation Influence Modeling for Chronological Citation Recommendation. Web-KRM@CIKM 2014: 15-18 - [c29]Lu Liu, Xiaoqing Lu, Keqiang Li, Jingwei Qu, Liangcai Gao, Zhi Tang:
Plane Geometry Figure Retrieval with Bag of Shapes. Document Analysis Systems 2014: 1-5 - [c28]Xin Tao, Zhi Tang, Canhui Xu, Liangcai Gao:
Ground-Truth and Performance Evaluation for Page Layout Analysis of Born-Digital Documents. Document Analysis Systems 2014: 247-251 - [c27]Dong Liu, Yongtao Wang, Zhi Tang, Luyuan Li, Liangcai Gao:
Automatic comic page image understanding based on edge segment analysis. DRR 2014: 90210J-90210J-12 - [c26]Lu Liu, Xiaoqing Lu, Songping Fu, Jingwei Qu, Liangcai Gao, Zhi Tang:
Plane Geometry Figure Retrieval Based on Bilayer Geometric Attributed Graph Matching. ICPR 2014: 309-314 - [c25]Luyuan Li, Yongtao Wang, Liangcai Gao, Zhi Tang, Ching Y. Suen:
Comic2CEBX: A system for automatic comic content adaptation. JCDL 2014: 299-308 - [c24]Xiaozhong Liu, Yingying Yu, Chun Guo, Yizhou Sun, Liangcai Gao:
Full-text based context-rich heterogeneous network mining approach for citation recommendation. JCDL 2014: 361-370 - [c23]Liangcai Gao, Yuehan Wang, Leipeng Hao, Zhi Tang:
ICST Math Retrieval System for NTCIR-11 Math-2 Task. NTCIR 2014 - [c22]Xiaoyan Lin, Liangcai Gao, Xuan Hu, Zhi Tang, Yingnan Xiao, Xiaozhong Liu:
A mathematics retrieval system for formulae in layout presentations. SIGIR 2014: 697-706 - [c21]Xiaozhong Liu, Liangcai Gao, Noriko Hara, Yizhou Sun:
Open educational resource based information understanding via pdf document interaction. WebSci 2014: 291-292 - 2013
- [c20]Xiaoqing Lu, Zhi Tang, Yan Liu, Liangcai Gao, Ting Wang, Zhipeng Wang:
Stroke-Based Character Segmentation of Low-Quality Images on Ancient Chinese Tablet. ICDAR 2013: 240-244 - [c19]Xiaoyan Lin, Liangcai Gao, Zhi Tang, Josef B. Baker, Mohamed A. Alkalai, Volker Sorge:
A Text Line Detection Method for Mathematical Formula Recognition. ICDAR 2013: 339-343 - [c18]Luyuan Li, Yongtao Wang, Zhi Tang, Xiaoqing Lu, Liangcai Gao:
Unsupervised Speech Text Localization in Comic Images. ICDAR 2013: 1190-1194 - [c17]Xuan Hu, Liangcai Gao, Xiaoyan Lin, Zhi Tang, Xiaofan Lin, Josef B. Baker:
WikiMirs: a mathematical information retrieval system for wikipedia. JCDL 2013: 11-20 - 2012
- [c16]Xiaoyan Lin, Liangcai Gao, Zhi Tang, Xiaofan Lin, Xuan Hu:
Performance Evaluation of Mathematical Formula Identification. Document Analysis Systems 2012: 287-291 - [c15]Xiaoyan Lin, Liangcai Gao, Zhi Tang, Xuan Hu, Xiaofan Lin:
Identification of embedded mathematical formulas in PDF documents using SVM. DRR 2012: 82970D - [c14]Liangcai Gao, Zhi Tang, Xiaoyan Lin, Yongtao Wang:
A graph-based method of newspaper article reconstruction. ICPR 2012: 1566-1569 - [c13]Liangcai Gao, Xixi Qi, Zhi Tang, Xiaofan Lin, Ying Liu:
Web-based citation parsing, correction and augmentation. JCDL 2012: 295-304 - 2011
- [c12]Jing Fang, Zhi Tang, Liangcai Gao:
Reflowing-driven paragraph recognition for electronic books in PDF. DRR 2011: 78740U - [c11]Liangcai Gao, Yuan Zhong, Yingmin Tang, Zhi Tang, Xiaofan Lin, Xuan Hu:
Metadata Extraction System for Chinese Books. ICDAR 2011: 749-753 - [c10]Jing Fang, Liangcai Gao, Kun Bai, Ruiheng Qiu, Xin Tao, Zhi Tang:
A Table Detection Method for Multipage PDF Documents via Visual Seperators and Tabular Structures. ICDAR 2011: 779-783 - [c9]Xiaoyan Lin, Liangcai Gao, Zhi Tang, Xiaofan Lin, Xuan Hu:
Mathematical Formula Identification in PDF Documents. ICDAR 2011: 1419-1423 - [c8]Liangcai Gao, Zhi Tang, Xiaofan Lin, Ying Liu, Ruiheng Qiu, Yongtao Wang:
Structure extraction from PDF-based book documents. JCDL 2011: 11-20 - [c7]Ying Liu, Kun Bai, Liangcai Gao:
An Efficient Pre-processing Method to Identify Logical Components from PDF Documents. PAKDD (1) 2011: 500-511 - 2009
- [c6]Liangcai Gao, Zhi Tang, Xiaofan Lin, Xin Tao, Yimin Chu:
Analysis of Book Documents' Table of Content Based on Clustering. ICDAR 2009: 911-915 - [c5]Liangcai Gao, Zhi Tang, Xiaofan Lin:
CEBBIP: a parser of bibliographic information in chinese electronic books. JCDL 2009: 73-76 - [c4]Zhi Tang, Liangcai Gao, Aixia Jia, Xiaofan Lin:
XEB: a markup language document container format suitable for handheld devices. JCDL 2009: 481-482 - 2008
- [c3]Liangcai Gao, Zhi Tang, Xiaofan Lin, Ruiheng Qiu:
Comprehensive Global Typography Extraction System for Electronic Book Documents. Document Analysis Systems 2008: 615-621 - [c2]Liangcai Gao, Zhi Tang:
A mixed approach to book splitting. DRR 2008: 68150B - [c1]Liangcai Gao, Zhi Tang, Ruiheng Qiu:
A mixed approach to auto-detection of page body. DRR 2008: 68150T
Informal and Other Publications
- 2024
- [i23]Yuqi Wang, Boran Jiang, Yi Luo, Dawei He, Peng Cheng, Liangcai Gao:
Reasoning on Efficient Knowledge Paths: Knowledge Graph Guides Large Language Model for Domain Question Answering. CoRR abs/2404.10384 (2024) - [i22]Jianhua Zhu, Liangcai Gao, Wenqi Zhao:
ICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression Recognition. CoRR abs/2405.09032 (2024) - [i21]Haotian Zhang, Junting Zhou, Haowei Lin, Hang Ye, Jianhua Zhu, Zihao Wang, Liangcai Gao, Yizhou Wang, Yitao Liang:
CLoG: Benchmarking Continual Learning of Image Generation Models. CoRR abs/2406.04584 (2024) - [i20]Xingjian Hu, Baole Wei, Liangcai Gao:
SegHist: A General Segmentation-based Framework for Chinese Historical Document Text Line Detection. CoRR abs/2406.15485 (2024) - 2023
- [i19]Yongshuai Huang, Ning Lu, Dapeng Chen, Yibo Li, Zecheng Xie, Shenggao Zhu, Liangcai Gao, Wei Peng:
Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling. CoRR abs/2303.06949 (2023) - [i18]Zuoyu Yan, Junru Zhou, Liangcai Gao, Zhi Tang, Muhan Zhang:
Efficiently Counting Substructures by Subgraph GNNs without Running GNN on Subgraphs. CoRR abs/2303.10576 (2023) - [i17]Yuxuan Zhou, Liangcai Gao, Zhi Tang, Baole Wei:
Recognition-Guided Diffusion Model for Scene Text Image Super-Resolution. CoRR abs/2311.13317 (2023) - [i16]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang:
Cycle Invariant Positional Encoding for Graph Representation Learning. CoRR abs/2311.14333 (2023) - 2022
- [i15]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen:
Neural Approximation of Extended Persistent Homology on Graphs. CoRR abs/2201.12032 (2022) - [i14]Wenqi Zhao, Liangcai Gao:
CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition. CoRR abs/2207.04410 (2022) - 2021
- [i13]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
Persistence Homology for Link Prediction: An Interactive View. CoRR abs/2102.10255 (2021) - [i12]Zhuoren Jiang, Xiaozhong Liu, Liangcai Gao, Zhi Tang:
Community-based Cyberreading for Information Understanding. CoRR abs/2103.14934 (2021) - [i11]Ke Yuan, Zuoyu Yan, Yibo Li, Liangcai Gao, Zhi Tang:
Automatic Description Construction for Math Expression via Topic Relation Graph. CoRR abs/2104.11890 (2021) - [i10]Shuai Peng, Ke Yuan, Liangcai Gao, Zhi Tang:
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding. CoRR abs/2105.00377 (2021) - [i9]Wenqi Zhao, Liangcai Gao, Zuoyu Yan, Shuai Peng, Lin Du
, Ziyin Zhang:
Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer. CoRR abs/2105.02412 (2021) - [i8]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
A Topological View of Rule Learning in Knowledge Graphs. CoRR abs/2110.02510 (2021) - 2020
- [i7]Zuoyu Yan, Xiaode Zhang, Liangcai Gao, Ke Yuan, Zhi Tang:
ConvMath: A Convolutional Sequence Network for Mathematical Expression Recognition. CoRR abs/2012.12619 (2020) - 2019
- [i6]Ke Yuan, Dafang He, Zhuoren Jiang, Liangcai Gao, Zhi Tang, C. Lee Giles:
Automatic Generation of Headlines for Online Math Questions. CoRR abs/1912.00839 (2019) - 2018
- [i5]Ting-Ting Liang, Satoshi Tsutsui, Liangcai Gao, Jing-Jing Lu, Mengyan Sun:
Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion. CoRR abs/1806.00264 (2018) - [i4]Zhuoren Jiang, Yue Yin, Liangcai Gao, Yao Lu, Xiaozhong Liu:
Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph. CoRR abs/1812.11709 (2018) - [i3]Zhuoren Jiang, Liangcai Gao, Ke Yuan, Zheng Gao, Zhi Tang, Xiaozhong Liu:
Mathematics Content Understanding for Cyberlearning via Formula Evolution Map. CoRR abs/1812.11786 (2018) - 2017
- [i2]Wenhao Zhang, Liangcai Gao, Runtao Liu:
Using Deep Learning Method for Classification: A Proposed Algorithm for the ISIC 2017 Skin Lesion Classification Challenge. CoRR abs/1703.02182 (2017) - [i1]Liangcai Gao, Zhuoren Jiang, Yue Yin, Ke Yuan, Zuoyu Yan, Zhi Tang:
Preliminary Exploration of Formula Embedding for Mathematical Information Retrieval: can mathematical formulae be embedded like a natural language? CoRR abs/1707.05154 (2017)
Coauthor Index
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