Author

Shuhao Gu

Observed name: Gu, Shuhao

Observed institutions: Chinese Academy of Sciences, Peking University, Institute of Computing Technology, Beijing Academy of Artificial Intelligence, University of Chinese Academy of Sciences

OpenAlex ID: A5061569526

Improving Domain Adaptation Translation with Domain Invariant and Specific Information

2019 · Shuhao Gu, Yang Feng, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 37

Token-level Adaptive Training for Neural Machine Translation

2020 · Shuhao Gu, Jinchao Zhang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 31

Modeling Fluency and Faithfulness for Diverse Neural Machine Translation

2020 · Yang Feng, Wanying Xie, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 24

Importance-based Neuron Allocation for Multilingual Neural Machine Translation

2021 · Wanying Xie, Yang Feng, et al. · 22

Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation

2021 · Shuhao Gu, Yang Feng, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 21

Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation

2020 · Shuhao Gu, Yang Feng · International Conference on Computational Linguistics · 13

Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation

2021 · Yang Feng, Shuhao Gu, et al. · 12

Improving Multi-head Attention with Capsule Networks

2019 · Shuhao Gu, Yang Feng · Lecture notes in computer science · 12

Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions

2022 · Shuhao Gu, Bojie Hu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 11

Robust Neural Machine Translation with ASR Errors

2020 · Haiyang Xue, Yang Feng, et al. · 10

Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mapping

2022 · Shuhao Gu, Yang Feng · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 9

Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features

2024 · Mengyu Bu, Shuhao Gu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 7

Improving Domain Adaptation Translation with Domain Invariant and Specific Information

2019 · Gu, Shuhao, Feng, Yang, et al. · arXiv (Cornell University) · 7

Enhancing Neural Machine Translation with Semantic Units

2023 · Langlin Huang, Shuhao Gu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 5

Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mappings

2022 · Gu, Shuhao, Feng, Yang · arXiv (Cornell University) · 3

MiMo-Audio: Audio Language Models are Few-Shot Learners

2025 · Core Team, Zhang, Dong, et al. · arXiv (Cornell University) · 2

Scaling Law for Document Neural Machine Translation

2023 · Zhang Zhuocheng, Shuhao Gu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 2

MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining

2025 · Xiaomi, LLM-Core, :, et al. · arXiv (Cornell University) · 1

Addressing the Length Bias Problem in Document-Level Neural Machine Translation

2023 · Zhang, Zhuocheng, Gu, Shuhao, et al. · arXiv (Cornell University) · 1

Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation

2021 · Feng, Yang, Gu, Shuhao, et al. · arXiv (Cornell University) · 1

GroundingME: Exposing the Visual Grounding Gap in MLLMs through Multi-Dimensional Evaluation

2025 · Li, Rang, Li, Lei, et al. · arXiv (Cornell University)

MiMo-Embodied: X-Embodied Foundation Model Technical Report

2025 · Hao, Xiaoshuai, Zhou, Lei, et al. · arXiv (Cornell University)

MiMo-VL Technical Report

2025 · Core Team, Yue, Zihao, et al. · arXiv (Cornell University)

Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data

2024 · Gu, Shuhao, Zhang, Jialing, et al. · arXiv (Cornell University)

CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models

2024 · Wang, Liangdong, Zhang, Bo-Wen, et al. · arXiv (Cornell University)

Works count: 34

Citation count: 231

H-index: 10

I10-index: 10