| 2025 | ACL | Registering Source Tokens to Target Language Spaces in Multilingual Neural Machine Translation. | Zhi Qu, Yiran Wang, Jiannan Mao, Chenchen Ding, Hideki Tanaka, Masao Utiyama, Taro Watanabe |
| 2025 | ASPDAC | A Layer-wised Mixed-Precision CIM Accelerator with Bit-level Sparsity-aware ADCs for NAS-Optimized CNNs. | Haoxiang Zhou, Zikun Wei, Dingbang Liu, Liuyang Zhang, Chenchen Ding, Jiaqi Yang, Wei Mao, Hao Yu |
| 2025 | DAC | NoiseZO: RRAM Noise-Driven Zeroth-Order Optimization for Efficient Forward-Only Training. | Shuqi Wang, Zhengwu Liu, Chenchen Ding, Chen Zhang, Taiqiang Wu, Jiajun Zhou, Ngai Wong |
| 2025 | DATE | Towards Robust RRAM-Based Vision Transformer Models with Noise-Aware Knowledge Distillation. | Wenyong Zhou, Zhengwu Liu, Taiqiang Wu, Chenchen Ding, Yuan Ren, Ngai Wong |
| 2025 | ICCV | Perspective-Aware 3D Gaussian Inpainting with Multi-View Consistency. | Yuxin Cheng, Binxiao Huang, Taiqiang Wu, Wenyong Zhou, Chenchen Ding, Zhengwu Liu, Graziano Chesi, Ngai Wong |
| 2024 | DATE | FMTT: Fused Multi-Head Transformer with Tensor-Compression for 3D Point Clouds Detection on Edge Devices. | Zikun Wei, Tingting Wang, Chenchen Ding, Bohan Wang, Ziyi Guan, Hantao Huang, Hao Yu |
| 2024 | EACL | Robust Neural Machine Translation for Abugidas by Glyph Perturbation. | Hour Kaing, Chenchen Ding, Hideki Tanaka, Masao Utiyama |
| 2024 | FCCM | LAMPS: A Layer-wised Mixed-Precision-and-Sparsity Accelerator for NAS-Optimized CNNs on FPGA. | Shuxin Yang, Chenchen Ding, Mingqiang Huang, Kai Li, Chenghao Li, Zikun Wei, Sixiao Huang, Jingyao Dong, Liuyang Zhang, Hao Yu |
| 2023 | DATE | RankSearch: An Automatic Rank Search Towards Optimal Tensor Compression for Video LSTM Networks on Edge. | Changhai Man, Cheng Chang, Chenchen Ding, Ao Shen, Hongwei Ren, Ziyi Guan, Yuan Cheng, Shaobo Luo, Rumin Zhang, Ngai Wong, Hao Yu |
| 2023 | ICASSP | Hierarchical Softmax for End-To-End Low-Resource Multilingual Speech Recognition. | Qianying Liu, Zhuo Gong, Zhengdong Yang, Yuhang Yang, Sheng Li, Chenchen Ding, Nobuaki Minematsu, Hao Huang, Fei Cheng, Chenhui Chu, Sadao Kurohashi |
| 2023 | PACLIC | Improving Zero-Shot Dependency Parsing by Unsupervised Learning. | Jiannan Mao, Chenchen Ding, Hour Kaing, Hideki Tanaka, Masao Utiyama, Tadahiro Matsumoto |
| 2022 | COLING | FeatureBART: Feature Based Sequence-to-Sequence Pre-Training for Low-Resource NMT. | Abhisek Chakrabarty, Raj Dabre, Chenchen Ding, Hideki Tanaka, Masao Utiyama, Eiichiro Sumita |
| 2022 | ICASSP | Compressing Transformer-Based ASR Model by Task-Driven Loss and Attention-Based Multi-Level Feature Distillation. | Yongjie Lv, Longbiao Wang, Meng Ge, Sheng Li, Chenchen Ding, Lixin Pan, Yuguang Wang, Jianwu Dang, Kiyoshi Honda |
| 2021 | ICONIP | Exploring Effective Speech Representation via ASR for High-Quality End-to-End Multispeaker TTS. | Dawei Liu, Longbiao Wang, Sheng Li, Haoyu Li, Chenchen Ding, Ju Zhang, Jianwu Dang |
| 2020 | ACL | A Three-Parameter Rank-Frequency Relation in Natural Languages. | Chenchen Ding, Masao Utiyama, Eiichiro Sumita |
| 2020 | COLING | Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation. | Abhisek Chakrabarty, Raj Dabre, Chenchen Ding, Masao Utiyama, Eiichiro Sumita |
| 2020 | ICASSP | End-to-End Articulatory Modeling for Dysarthric Articulatory Attribute Detection. | Yuqin Lin, Longbiao Wang, Jianwu Dang, Sheng Li, Chenchen Ding |
| 2020 | Interspeech | Staged Knowledge Distillation for End-to-End Dysarthric Speech Recognition and Speech Attribute Transcription. | Yuqin Lin, Longbiao Wang, Sheng Li, Jianwu Dang, Chenchen Ding |
| 2020 | Interspeech | Singing Voice Extraction with Attention-Based Spectrograms Fusion. | Hao Shi, Longbiao Wang, Sheng Li, Chenchen Ding, Meng Ge, Nan Li, Jianwu Dang, Hiroshi Seki |
| 2020 | LREC | A Myanmar (Burmese)-English Named Entity Transliteration Dictionary. | Aye Myat Mon, Chenchen Ding, Hour Kaing, Khin Mar Soe, Masao Utiyama, Eiichiro Sumita |
| 2019 | EMNLP | MY-AKKHARA: A Romanization-based Burmese (Myanmar) Input Method. | Chenchen Ding, Masao Utiyama, Eiichiro Sumita |
| 2019 | Interspeech | End-to-End Articulatory Attribute Modeling for Low-Resource Multilingual Speech Recognition. | Sheng Li, Chenchen Ding, Xugang Lu, Peng Shen, Tatsuya Kawahara, Hisashi Kawai |
| 2019 | Interspeech | Investigating Radical-Based End-to-End Speech Recognition Systems for Chinese Dialects and Japanese. | Sheng Li, Xugang Lu, Chenchen Ding, Peng Shen, Tatsuya Kawahara, Hisashi Kawai |
| 2018 | ACL | Simplified Abugidas. | Chenchen Ding, Masao Utiyama, Eiichiro Sumita |
| 2015 | EMNLP | Improving fast_align by Reordering. | Chenchen Ding, Masao Utiyama, Eiichiro Sumita |
| 2014 | AMTA | Document-level re-ranking with soft lexical and semantic features for statistical machine translation. | Chenchen Ding, Masao Utiyama, Eiichiro Sumita |
| 2014 | EACL | Dependency Tree Abstraction for Long-Distance Reordering in Statistical Machine Translation. | Chenchen Ding, Yuki Arase |
| 2013 | IJCNLP | An Unsupervised Parameter Estimation Algorithm for a Generative Dependency N-gram Language Model. | Chenchen Ding, Mikio Yamamoto |