| 2023 | ICDAR | Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model. | Haisong Ding, Bozhi Luan, Dongnan Gui, Kai Chen, Qiang Huo |
| 2023 | ICDAR | Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition. | Dongnan Gui, Kai Chen, Haisong Ding, Qiang Huo |
| 2021 | ICDAR | An Encoder-Decoder Approach to Handwritten Mathematical Expression Recognition with Multi-head Attention and Stacked Decoder. | Haisong Ding, Kai Chen, Qiang Huo |
| 2020 | ICASSP | Parallelizing Adam Optimizer with Blockwise Model-Update Filtering. | Kai Chen, Haisong Ding, Qiang Huo |
| 2020 | ICFHR | Improving Handwritten OCR with Augmented Text Line Images Synthesized from Online Handwriting Samples by Style-Conditioned GAN. | Mingyang Guan, Haisong Ding, Kai Chen, Qiang Huo |
| 2019 | Interspeech | Compression of CTC-Trained Acoustic Models by Dynamic Frame-Wise Distillation or Segment-Wise N-Best Hypotheses Imitation. | Haisong Ding, Kai Chen, Qiang Huo |
| 2018 | ICFHR | Building Compact CNN-DBLSTM Based Character Models for Handwriting Recognition and OCR by Teacher-Student Learning. | Haisong Ding, Kai Chen, Wenping Hu, Meng Cai, Qiang Huo |
| 2017 | ICDAR | A Compact CNN-DBLSTM Based Character Model for Online Handwritten Chinese Text Recognition. | Kai Chen, Li Tian, Haisong Ding, Meng Cai, Lei Sun, Sen Liang, Qiang Huo |
| 2017 | ICDAR | A Compact CNN-DBLSTM Based Character Model for Offline Handwriting Recognition with Tucker Decomposition. | Haisong Ding, Kai Chen, Ye Yuan, Meng Cai, Lei Sun, Sen Liang, Qiang Huo |
| 2017 | ICDAR | Sequence Discriminative Training for Offline Handwriting Recognition by an Interpolated CTC and Lattice-Free MMI Objective Function. | Wenping Hu, Meng Cai, Kai Chen, Haisong Ding, Lei Sun, Sen Liang, Xiongjian Mo, Qiang Huo |