Kai Chen

An Encoder-Decoder Approach to Handwritten Mathematical Expression Recognition with Multi-head Attention and Stacked Decoder

Qiang Huo, Kai Chen, Haisong Ding, 2021, IEEE International Conference on Document Analysis and Recognition.

Parallelizing Adam Optimizer with Blockwise Model-Update Filtering

Kai Chen, Haisong Ding, Qiang Huo, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

APRNet: Attention-based Pixel-wise Rendering Network for Photo-Realistic Text Image Generation

Qiang Huo, Yang-Bo Shi, Haisong Ding, 2022, ArXiv.

Improving Knowledge Distillation of CTC-Trained Acoustic Models With Alignment-Consistent Ensemble and Target Delay

Haisong Ding, Qiang Huo, Kai Chen, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

GlyphControl: Glyph Conditional Control for Visual Text Generation

Yuhui Yuan, Hang-Rui Hu, Haisong Ding, 2023, NeurIPS.

Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition

Qiang Huo, Haisong Ding, Kai Chen, 2023, ICDAR.

Improving Handwritten OCR with Augmented Text Line Images Synthesized from Online Handwriting Samples by Style-Conditioned GAN

Haisong Ding, Qiang Huo, Mingyang Guan, 2020, 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR).

Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model

Qiang Huo, Haisong Ding, Kai Chen, 2023, ICDAR.