Short Bio

Hi, I am a final-year master student from the School of Electronics Engineering and Computer Science (EECS) at Peking University (PKU). I work on natural language processing and machine learning, under the supervision of Prof. Xu Sun. My research interests mainly lie in deep learning and natural language generation, especially text summarization, machine translation, and machine commenting.

Publications

1. Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation
   Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun
   ACL 2019
2. A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification
   Pengcheng Yang, Fuli Luo, Shuming Ma, Junyang Lin, Xu Sun
   ACL 2019 (Short Paper)
3. LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
   Shuming Ma, Lei Cui, Damai Dai, Furu Wei, Xu Sun
   AAAI 2019 [pdf] [code]
4. Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-text Generation: Learning Better Representation for Tables
   Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui
   AAAI 2019
5. A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification
   Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren
   IJCAI 2018 [pdf]
6. Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation
   Shuming Ma, Xu Sun, Wei Li, Sujian Li, Wenjie Li, Xuancheng Ren
   NAACL 2018 [pdf] [code]
7. Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
   Shuming Ma, Xu Sun, Junyang Lin, Houfeng Wang
   ACL 2018 (Short Paper) [pdf]
8. Bag-of-Words as Target for Neural Machine Translation
   Shuming Ma, Xu Sun, Yizhong Wang, Junyang Lin
   ACL 2018 (Short Paper) [pdf]
9. Global Encoding for Abstractive Summarization
   Junyang Lin, Xu Sun, Shuming Ma, Qi Su
   ACL 2018 (Short Paper) [pdf]
10. Automatic Academic Paper Rating Based on Modularized Hierarchical Convolution Neural Network
    Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma
    ACL 2018 (Short Paper) [pdf]
11. Phrase-level Self-Attention Networks for Universal Sentence Encoding
    Wei Wu, Houfeng Wang, Tianyu Liu, Shuming Ma
    EMNLP 2018
12. Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification
    Junyang Lin, Xu Sun, Pengcheng Yang, Shuming Ma, Qi Su
    EMNLP 2018
13. SGM: Sequence Generation Model for Multi-label Classification
    Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu, Houfeng Wang
    COLING 2018 (Best Paper Award) [pdf]
14. Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
    Yi Zhang, Xu Sun, Shuming Ma, Yang Yang, Xuancheng Ren
    COLING 2018 [pdf]
15. Deconvolution-Based Global Decoding for Neural Machine Translation
    Junyang Lin, Xu Sun, Xuancheng Ren, Shuming Ma, Jinsong Su, Qi Su
    COLING 2018 [pdf]
16. An End-to-End Question Answering Model Based on Semi-Structured Tables
    Hao Wang, Xiaodong Zhang, Shuming Ma, Xu Sun, Houfeng Wang
    COLING 2018
17. Accelerating Graph-based Dependency Parsing with Lock-Free Parallel Perceptron
    Shuming Ma, Xu Sun, Yi Zhang, Bingzhen Wei
    NLPCC 2018
18. Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization
    Shuming Ma, Xu Sun, Jingjing Xu, Houfeng Wang, Wenjie Li, Qi Su
    ACL 2017 (Short Paper) [pdf] [code]
19. meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
    Xu Sun, Xuancheng Ren, Shuming Ma, Houfeng Wang
    ICML 2017 [pdf] [code]
20. Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network
    Jingjing Xu, Shuming Ma, Yi Zhang, Bingzhen Wei, Xiaoyan Cai, Xu Sun
    NLPCC 2017 [pdf] [code]
21. Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method.
    Xu Sun, Xuancheng Ren, Shuming Ma, Bingzhen Wei, Wei Li, Jingjing Xu, Houfeng Wang, Yi Zhang
    IEEE Transactions on Knowledge and Data Engineering (TKDE)
22. Towards Easier and Faster Sequence Labeling for Natural Language Processing: A Search-based Probabilistic Online Learning Framework (SAPO).
    Xu Sun, Shuming Ma, Yi Zhang, Xuancheng Ren
    Information Sciences. Elsevier.

Academic Activities

• Program Committee Member: ACL 2017, ACL 2019, EMNLP 2018, EMNLP 2019, NLPCC 2018, NLPCC 2019
• Sub-reviewer: AAAI 2016, IJCAI 2016, ACL 2016, AAAI 2017, IJCAI 2018
• Journal reviewer: Neural Networks