Grammatical Relations in Chinese: GB-Ground Extraction and Data-Driven Parsing. - Weiwei Sun 007; Yantao Du; Xin Kou; Shuoyang Ding; Xiaojun Wan 001 (ACL (1), 2014)

The JHU Machine Translation Systems for WMT 2016. - Shuoyang Ding; Kevin Duh; Huda Khayrallah; Philipp Koehn; Matt Post (WMT, 2016)

The JHU Machine Translation Systems for WMT 2017. - Shuoyang Ding; Huda Khayrallah; Philipp Koehn; Matt Post; Gaurav Kumar; Kevin Duh (WMT, 2017)

Multi-Modal Data Augmentation for End-to-end ASR. - Adithya Renduchintala; Shuoyang Ding; Matthew Wiesner; Shinji Watanabe 001 (INTERSPEECH, 2018)

How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation? - Shuoyang Ding; Kevin Duh (CoRR, 2018)

Parallelizable Stack Long Short-Term Memory. - Shuoyang Ding; Philipp Koehn (SPNLP@NAACL-HLT, 2019)

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit. - Yiming Wang 006; Sanjeev Khudanpur; Tongfei Chen; Hainan Xu; Shuoyang Ding; Hang Lv 001; Yiwen Shao; Nanyun Peng 001; Lei Xie 001; Shinji Watanabe 001 (ASRU, 2019)

Improving End-to-end Speech Recognition with Pronunciation-assisted Sub-word Modeling. - Hainan Xu; Shuoyang Ding; Shinji Watanabe 001 (ICASSP, 2019)

A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation. - Shuoyang Ding; Adithya Renduchintala; Kevin Duh (MTSummit (1), 2019)

An Exploration of Placeholding in Neural Machine Translation. - Matt Post; Shuoyang Ding; Marianna J. Martindale; Winston Wu (MTSummit (1), 2019)

Saliency-driven Word Alignment Interpretation for Neural Machine Translation. - Shuoyang Ding; Hainan Xu; Philipp Koehn (WMT (1), 2019)

A Call for Prudent Choice of Subword Merge Operations. - Shuoyang Ding; Adithya Renduchintala; Kevin Duh (CoRR, 2019)

Levenshtein Training for Word-level Quality Estimation. - Shuoyang Ding; Marcin Junczys-Dowmunt; Matt Post; Philipp Koehn (EMNLP (1), 2021)

Evaluating Saliency Methods for Neural Language Models. - Shuoyang Ding; Philipp Koehn (NAACL-HLT, 2021)

The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task. - Shuoyang Ding; Marcin Junczys-Dowmunt; Matt Post; Christian Federmann; Philipp Koehn (WMT@EMNLP, 2021)

Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation. - Weiting Tan; Shuoyang Ding; Huda Khayrallah; Philipp Koehn (AMTA, 2022)

Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains. - Vilém Zouhar; Shuoyang Ding; Anna Currey; Tatyana Badeka; Jenyuan Wang; Brian Thompson 001 (ACL (Short Papers), 2024)

Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models. - Miguel Romero Calvo; Shuoyang Ding; Corey D. Barrett; Georgiana Dinu; George Karypis (ACL (Findings), 2025)

EMMeTT: Efficient Multimodal Machine Translation Training. - Piotr Zelasko; Zhehuai Chen; Mengru Wang; Daniel Galvez; Oleksii Hrinchuk; Shuoyang Ding; Ke Hu; Jagadeesh Balam; Vitaly Lavrukhin; Boris Ginsburg (ICASSP, 2025)

Plan2Align: Predictive Planning Based Test-Time Preference Alignment in Paragraph-Level Machine Translation. - Kuang-Da Wang; Teng-Ruei Chen; Yu-Heng Hung; Shuoyang Ding; Yueh-Hua Wu; Yu-Chiang Frank Wang; Chao-Han Huck Yang; Wen-Chih Peng; Ping-Chun Hsieh (CoRR, 2025)

Granary: Speech Recognition and Translation Dataset in 25 European Languages. - Nithin Rao Koluguri; Monica Sekoyan; George Zelenfroynd; Sasha Meister; Shuoyang Ding; Sofia Kostandian; He Huang 012; Nikolay Karpov; Jagadeesh Balam; Vitaly Lavrukhin; Yifan Peng 003; Sara Papi; et al. (CoRR, 2025)

Word Level Timestamp Generation for Automatic Speech Recognition and Translation. - Ke Hu; Krishna C. Puvvada; Elena Rastorgueva; Zhehuai Chen; He Huang 012; Shuoyang Ding; Kunal Dhawan; Hainan Xu; Jagadeesh Balam; Boris Ginsburg (CoRR, 2025)

Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models. - Miguel Romero 007; Shuoyang Ding; Corey D. Barret; Georgiana Dinu; George Karypis (CoRR, 2025)