| A compact CNN-DBLSTM based character model for offline handwriting recognition with Tucker decomposition H Ding, K Chen, Y Yuan, M Cai, L Sun, S Liang, Q Huo Document Analysis and Recognition (ICDAR), 2017 14th IAPR International …, 2017 | 39 | 2017 |
| Compressing CNN-DBLSTM models for OCR with teacher-student learning and Tucker decomposition H Ding, K Chen, Q Huo Pattern Recognition 96, 106957, 2019 | 37 | 2019 |
| A compact CNN-DBLSTM based character model for online handwritten Chinese text recognition K Chen, L Tian, H Ding, M Cai, L Sun, S Liang, Q Huo 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 26 | 2017 |
| An encoder-decoder approach to handwritten mathematical expression recognition with multi-head attention and stacked decoder H Ding, K Chen, Q Huo Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021 | 22 | 2021 |
| Parallelizing Adam optimizer with blockwise model-update filtering K Chen, H Ding, Q Huo | 14 | 2020 |
| Improving handwritten OCR with augmented text line images synthesized from online handwriting samples by style-conditioned GAN M Guan, H Ding, K Chen, Q Huo 2020 17th International Conference on Frontiers in Handwriting Recognition …, 2020 | 12 | 2020 |
| Sequence discriminative training for offline handwriting recognition by an interpolated CTC and lattice-free MMI objective function W Hu, M Cai, K Chen, H Ding, L Sun, S Liang, X Mo, Q Huo 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 12 | 2017 |
| Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition D Gui, K Chen, H Ding, Q Huo Document Analysis and Recognition - ICDAR 2023 14188, 2023 | 9 | 2023 |
| Compression of CTC-trained acoustic models by dynamic frame-wise distillation or segment-wise N-best hypotheses imitation H Ding, K Chen, Q Huo Proc. Interspeech 2019, 3218-3222, 2019 | 8 | 2019 |
| Building compact CNN-DBLSTM based character models for handwriting recognition and OCR by teacher-student learning H Ding, K Chen, W Hu, M Cai, Q Huo 2018 16th International Conference on Frontiers in Handwriting Recognition …, 2018 | 7 | 2018 |
| Improving knowledge distillation of CTC-trained acoustic models with alignment-consistent ensemble and target delay H Ding, K Chen, Q Huo IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020 | 5 | 2020 |
| GlyphControl: Glyph Conditional Control for Visual Text Generation Y Yang, D Gui, Y Yuan, W Liang, H Ding, H Hu, K Chen Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| APRNet: Attention-based Pixel-wise Rendering Network for Photo-Realistic Text Image Generation Y Shi, H Ding, K Chen, Q Huo arXiv preprint arXiv:2203.07705, 2022 | 1 | 2022 |
| Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model H Ding, B Luan, D Gui, K Chen, Q Huo Document Analysis and Recognition - ICDAR 2023 14188, 2023 | | 2023 |
Kai ChenMicrosoft Research AsiaVerified email at microsoft.com
