| 2025 | AusDM | CarDamageEval: Benchmark Evaluation of Car Damage Assessment Using Vision Language Models. | Md Jahid Hasan, Kha Cong Nguyen, Yee Ling Boo, Hamed Jahani, Kok-Leong Ong |
| 2023 | ICDAR | Incremental Teacher Model with Mixed Augmentations and Scheduled Pseudo-label Loss for Handwritten Text Recognition. | Masayuki Honda, Hung Tuan Nguyen, Cuong Tuan Nguyen, Kha Cong Nguyen, Ryosuke Odate, Takashi Kanemaru, Masaki Nakagawa |
| 2021 | ICPRAM | A High Accuracy Text Detection Model of Newly Constructing and Training Strategies. | Kha Cong Nguyen, Ryosuke Odate |
| 2020 | ICFHR | A Semantic Segmentation-based Method for Handwritten Japanese Text Recognition. | Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa |
| 2019 | ICDAR | A Character Attention Generative Adversarial Network for Degraded Historical Document Restoration. | Kha Cong Nguyen, Cuong Tuan Nguyen, Seiji Hotta, Masaki Nakagawa |
| 2017 | ICDAR | Attempts to recognize anomalously deformed Kana in Japanese historical documents. | Hung Tuan Nguyen, Nam Tuan Ly, Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa |
| 2017 | ICDAR | Deep Convolutional Recurrent Network for Segmentation-Free Offline Handwritten Japanese Text Recognition. | Nam Tuan Ly, Cuong Tuan Nguyen, Kha Cong Nguyen, Masaki Nakagawa |
| 2017 | ICDAR | Tens of Thousands of Nom Character Recognition by Deep Convolution Neural Networks. | Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa |
| 2016 | ICFHR | Enhanced Character Segmentation for Format-Free Japanese Text Recognition. | Kha Cong Nguyen, Masaki Nakagawa |