Xingxing Zhang (张星星) Pronounced as Shingshing Zhang E-mail: Address:   Building 2, No. 5 Dan Ling Street, Haidian District, Beijing , 100080 China

Hi! I am a researcher at Microsoft Research Asia (MSRA).
Before joining MSRA, I obtained my Ph.D from ILCC, School of Informatics, The University of Edinburgh on Sep 2017,
where I was working on Natural Language Generation and supervised by Prof. Mirella Lapata and Prof. Adam Lopez.

Research Interests

• Natural Language Generation
• Document Summarization
• Sentence Simplification/Compression
• Poetry Generation
• Neural Dependency Parsing
• Neural (Structure-based) Language Modeling

Publications

• Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
  Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei and Ming Zhou. In Findings of EMNLP 2020.
[bib] [arXiv] [code]


• Pre-training for Abstractive Document Summarization by Reinstating Source Text
  Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei and Ming Zhou. In EMNLP 2020.
[bib] [arXiv] [code]


• Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction
  Mengyun Chen, Tao Ge, Xingxing Zhang, Furu Wei and Ming Zhou. In EMNLP 2020.



• DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
  Xiaoze Jiang, Jing Yu, Zengchang Qin, Yingying Zhuang, Xingxing Zhang, Yue Hu, Qi Wu. In AAAI 2020.
[arXiv]


• HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
  Xingxing Zhang, Furu Wei and Ming Zhou. In ACL 2019.
[bib] [arXiv] [slides] [project page]


• Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study
  Tao Ge, Xingxing Zhang, Furu Wei and Ming Zhou. In ACL 2019.
[bib]


• Neural Latent Extractive Document Summarization
  Xingxing Zhang, Mirella Lapata, Furu Wei and Ming Zhou. In EMNLP 2018 (short paper).
[bib] [arXiv] [resource]


• Natural Language Generation as Neural Sequence Learning and Beyond
  Xingxing Zhang. Ph.D Thesis, 2017.
[bib] [code & data] [slides]


• UParse: the Edinburgh system for the CoNLL 2017 UD shared task
  Clara Vania, Xingxing Zhang, Adam Lopez. In CoNLL 2017 Shared Task.
[bib][arXiv]


• Sentence Simplification with Deep Reinforcement Learning
  Xingxing Zhang and Mirella Lapata. In EMNLP 2017.
[bib] [arXiv] [code & data] [slides]


• Dependency Parsing as Head Selection
  Xingxing Zhang, Jianpeng Cheng and Mirella Lapata. In EACL 2017.
[bib] [arXiv] [resource] [code] [slides]


• Top-down Tree Long Short-Term Memory Networks
  Xingxing Zhang, Liang Lu and Mirella Lapata. In NAACL 2016.
[bib] [arXiv] [code] [slides]


• On Training the Recurrent Neural Network Encoder-Decoder for Large Vocabulary End-to-End Speech Recognition
  Liang Lu, Xingxing Zhang and Steve Renals. In ICASSP 2016.


• A Study of the Recurrent Neural Network Encoder-Decoder for Large Vocabulary Speech Recognition
  Liang Lu, Xingxing Zhang, Kyunghyun Cho and Steve Renals. In INTERSPEECH 2015.


• Chinese Poetry Generation with Recurrent Neural Networks
  Xingxing Zhang and Mirella Lapata. In EMNLP 2014.
[bib] [data] [code]

• Towards Accurate Distant Supervision for Relational Facts Extraction
  Xingxing Zhang, Jianwen Zhang, Junyu Zeng, Jun Yan, Zheng Chen and Zhifang Sui. In ACL 2013 (short paper).


• Learning to Extract Attribute Values from a Search Engine with Few Examples
  Xingxing Zhang, Tao Ge and Zhifang Sui. In Chinese Computational Linguistics (CCL) 2013.


• Semantic Class Learning with Deep Coordinate Structures in Web Pages
  Xingxing Zhang and Zhifang Sui. Journal of Computational Information Systems (JCIS) 8:3 (2012) 1245-1254.

Software

• Dress Simplification Model: DRESS: Deep REinforcement Sentence Simplification Model (in Lua with Torch)
• DeNSe Parser: A Neural Dependency Parser (in Lua with Torch)
• TD-TreeLSTM: Top-down Tree Long Short-Term Memory Networks (in Lua with Torch)
• RNNPG: A (Hierarchical) Recurrent Neural Network based Chinese Poetry Generator (in C++)