| M2det: A single-shot object detector based on multi-level feature pyramid network Q Zhao, T Sheng, Y Wang, Z Tang, Y Chen, L Cai, H Ling Proceedings of the AAAI conference on artificial intelligence 33 (01), 9259-9266, 2019 | 886 | 2019 |
| Cbnet: A novel composite backbone network architecture for object detection Y Liu, Y Wang, S Wang, TT Liang, Q Zhao, Z Tang, H Ling Proceedings of the AAAI conference on artificial intelligence 34 (07), 11653 …, 2020 | 281 | 2020 |
| Bevfusion: A simple and robust lidar-camera fusion framework T Liang, H Xie, K Yu, Z Xia, Z Lin, Y Wang, T Tang, B Wang, Z Tang Advances in Neural Information Processing Systems 35, 10421-10434, 2022 | 190 | 2022 |
| Cbnet: A composite backbone network architecture for object detection T Liang, X Chu, Y Liu, Y Wang, Z Tang, W Chu, J Chen, H Ling IEEE Transactions on Image Processing 31, 6893-6906, 2022 | 155 | 2022 |
| A table detection method for pdf documents based on convolutional neural networks L Hao, L Gao, X Yi, Z Tang 2016 12th IAPR Workshop on Document Analysis Systems (DAS), 287-292, 2016 | 143 | 2016 |
| ICDAR2017 competition on page object detection L Gao, X Yi, Z Jiang, L Hao, Z Tang 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 128 | 2017 |
| Dataset, ground-truth and performance metrics for table detection evaluation J Fang, X Tao, Z Tang, R Qiu, Y Liu 2012 10th IAPR International Workshop on Document Analysis Systems, 445-449, 2012 | 99 | 2012 |
| A table detection method for multipage pdf documents via visual seperators and tabular structures J Fang, L Gao, K Bai, R Qiu, X Tao, Z Tang 2011 International Conference on Document Analysis and Recognition, 779-783, 2011 | 96 | 2011 |
| Table header detection and classification J Fang, P Mitra, Z Tang, CL Giles Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 599-605, 2012 | 91 | 2012 |
| Mathbert: A pre-trained model for mathematical formula understanding S Peng, K Yuan, L Gao, Z Tang arXiv preprint arXiv:2105.00377, 2021 | 89 | 2021 |
| Cmua-watermark: A cross-model universal adversarial watermark for combating deepfakes H Huang, Y Wang, Z Chen, Y Zhang, Y Li, Z Tang, W Chu, J Chen, W Lin, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 989-997, 2022 | 62 | 2022 |
| Mathematical formula identification in PDF documents X Lin, L Gao, Z Tang, X Lin, X Hu 2011 international conference on document analysis and recognition, 1419-1423, 2011 | 60 | 2011 |
| Opanas: One-shot path aggregation network architecture search for object detection T Liang, Y Wang, Z Tang, G Hu, H Ling Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 53 | 2021 |
| Wikimirs: a mathematical information retrieval system for wikipedia X Hu, L Gao, X Lin, Z Tang, X Lin, JB Baker Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries, 11-20, 2013 | 53 | 2013 |
| A faster R-CNN based method for comic characters face detection X Qin, Y Zhou, Z He, Y Wang, Z Tang 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 49 | 2017 |
| Link prediction with persistent homology: An interactive view Z Yan, T Ma, L Gao, Z Tang, C Chen International conference on machine learning, 11659-11669, 2021 | 47* | 2021 |
| A mathematics retrieval system for formulae in layout presentations X Lin, L Gao, X Hu, Z Tang, Y Xiao, X Liu Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 47 | 2014 |
| Structure extraction from PDF-based book documents L Gao, Z Tang, X Lin, Y Liu, R Qiu, Y Wang Proceedings of the 11th annual international ACM/IEEE joint conference on …, 2011 | 47 | 2011 |
| 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 |
