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Tong Wang   王统


Education | Experience | Publication | Research | CV | Teaching_CS310 |

Applied Scientist at Amazon

I joined Alexa Natual Language Understanding and Entity Resolution team at Amazon as an Applied Scientist in Feburary 2018.
Tong Wang received Ph.D degree from UMass Boston advised by Dr. Ping Chen in December 2017, his research area is to apply Deep Learning in various Natural Language Processing tasks. He received his Master's degree from Northeastern University, Boston, MA in 2013, majoring in Computer Systems Engineering. And he received his B.S degree from Huazhong Agricultural University, Wuhan, China in 2010, majoring in Information and Computing Science.



  1. Ping Chen, Fei Wu and Tong Wang : A Semantic QA-Based Approach for Text Summarization Evaluation. arXiv preprint arXiv:1704.06259 [pdf] (AAAI 2018)
  2. Jipeng Qiang, Yun Li, Yunhao Yuan, and Tong Wang. Identifying the Number of Clusters in Short Text using Bayesian Nonparametric Model. The 29th IEEE International Conference on Tools with Artificial Intelligence, Boston. (ICTAI 2017)
  3. Tong Wang, Ping Chen and Albert Li: Predicting the Quality of Short Narratives from Social Media. The 26th International Joint Conference on Artificial Intelligence. Melbourne, Australia. 2017. (IJCAI 2017). [pdf][code]
  4. Jipeng Qiang, Ping Chen, Tong Wang and Xindong Wu. Topic Modeling over Short Texts by Incorporating Word Embeddings. arXiv preprint arXiv:1609.08496 (2016) (PAKDD 2017)[pdf]
  5. Tong Wang, Ping Chen, Kevin Amaral and Jipeng Qiang: An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification. arXiv preprint arXiv:1609.03663 (IJCAI-HLTIA 2016). [pdf]
  6. Jipeng Qiang, Ping Chen, Ding Wei, Tong Wang, Fei Xie, and Xindong Wu. Topic Discovery from Heterogeneous Texts. IEEE 28th International Conference on 2016 Nov 6 (pp. 196-203) (ICTAI 2016)
  7. Tong Wang, Ping Chen and Dan Simovici: A New Evaluation Measure Using Compression Dissimilarity on Text Summarization. Applied Intelligence. 45.1 (2016): 127-134. [pdf]
  8. Tong Wang, Ping Chen, John Rochford and Jipeng Qiang: Text Simplification using Neural Machine Translation. AAAI Conference on Artificial Intelligence. 2016. Student Abstract (AAAI 2016)[pdf]
  9. Tong Wang, Vish Viswanath, Ping Chen: Extended Topic Model for Word Dependency. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (ACL 2015), Beijing, China. [pdf] [bib] [code]
  10. Dan Simovici, Ping Chen, Tong Wang and Dan Pletea: Compression and Data Mining. Journal of Communications. Vol. 10, No. 9, September 2015.[pdf]


Ph.D, University of Massachusetts Boston
Computer Science
Advisor: Dr. Ping Chen
2014.01 - 2017.12
M.S, Northeastern University
Computer Systems Engineering
B.S, Huazhong Agricultural University
Information and Computing Science


Disney Research, Lab Research Associate
Mentor: Dr. Albert Li
Umass Medical School, Shriver Center, Research Intern
Mentor: John Rochford
ioMosaic, Software Engineer

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Last update: 04/25/2017