Shuming Ma
Orcid: 0000-0003-1091-1206
According to our database1,
Shuming Ma
authored at least 113 papers
between 2010 and 2025.
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Bibliography
2025
CoRR, February, 2025
2024
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024
Integrating fuzzy analytic hierarchy process into ecosystem service-based spatial planning: A case study of the Shenyang metropolitan area, China.
Ecol. Informatics, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
IEEE ACM Trans. Audio Speech Lang. Process., 2023
When an Image is Worth 1, 024 x 1, 024 Words: A Case Study in Computational Pathology.
CoRR, 2023
Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
TRIP: Accelerating Document-level Multilingual Pre-training via Triangular Document-level Pre-training on Parallel Data Triplets.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Database Systems for Advanced Applications, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
CoRR, 2022
Towards Multilingual Transitivity and Bidirectional Multilingual Agreement for Multilingual Document-level Machine Translation.
CoRR, 2022
CoRR, 2022
HLT-MT: High-resource Language-specific Training for Multilingual Neural Machine Translation.
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine Translation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
High-resource Language-specific Training for Multilingual Neural Machine Translation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine Translation.
CoRR, 2021
DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Proceedings of the Sixth Conference on Machine Translation, 2021
Proceedings of the Natural Language Processing and Chinese Computing, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Zero-Shot Cross-Lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation?
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method.
IEEE Trans. Knowl. Data Eng., 2020
XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders.
CoRR, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Towards easier and faster sequence labeling for natural language processing: A search-based probabilistic online learning framework (SAPO).
Inf. Sci., 2019
Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction.
CoRR, 2019
Proceedings of the Natural Language Processing and Chinese Computing, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
CoRR, 2018
Identifying High-Quality Chinese News Comments Based on Multi-Target Text Matching Model.
CoRR, 2018
CoRR, 2018
Proceedings of the Natural Language Processing and Chinese Computing, 2018
Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Automatic Academic Paper Rating Based on Modularized Hierarchical Convolutional Neural Network.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing.
CoRR, 2017
Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method.
CoRR, 2017
Label Embedding Network: Learning Label Representation for Soft Training of Deep Networks.
CoRR, 2017
A Semantic Relevance Based Neural Network for Text Summarization and Text Simplification.
CoRR, 2017
Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network.
Proceedings of the Natural Language Processing and Chinese Computing, 2017
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting.
Proceedings of the 34th International Conference on Machine Learning, 2017
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
2010
Proceedings of the International Conference on E-Business and E-Government, 2010