Xintong Wang

Name:	Xintong Wang
Position:	Ph.D. Student
Email:	xwang (@) informatik.uni-hamburg.de
Phone:	+49 40 42883-2322
Office:	F-405
Address:	Informatikum, Vogt-Kölln-Straße 30, 22527 Hamburg

I am a first-year doctoral student at the University of Hamburg, Language Technology Group, advised by Prof. Dr. Chris Biemann. I'm supported by DFG Project Crossmodal Learning for Improving Human Reading. I got the M.Eng and B.Eng. in Computer Science at the South China University of Technology in 2019 and 2016 respectively. I have also worked with Prof. Wenjie Li at Hong Kong Polytechnic University and Prof. Min Yang at the Chinese Academy of Sciences since 2018. For more details, you could also refer to this link.

Recent News:

[NEW] Jun. 2020: I have been granted the 2020 D&I Award. Thanks to the ACL committee!

Research Interests:

• Multi-modal Reading Comprehension
• Natural Language Generation

Projects:

• SFB TRR CML C7: Cross-modal Learning for Improving Human Reading

Collaboration:

• For undergraduate or master students at Universität Hamburg who want to be HiWi or do a master thesis, if you are interested in multi-modal learning, I am delight to supervise you. Bear in mind that you should contact Prof. Dr. Biemann first.
• I am always looking forward to corporating with other Ph.D. students and researchers. Drop me an email if interested.

Selected Publications:

• Plausibility-promoting Generative Adversarial Network for Abstractive Text Summarization with Multi-task Constraint. In Information Science, 2020.
• Cross-dataset Person Re-Identification Using Similarity Preserved Generative Adversarial Networks. In Proceedings of the 11th International Conference on Knowledge Science, Engineering and Management KSEM, 2018.

Professional Activities:

• Conference Reviewer: ACL2020 Summarization Area, EMNLP2020 Summarization Area, AACL-IJCNLP2020 Summarization and Generation Area, EMNLP-IJCNLP2019  Summarization Area, NLPCC2019 Conversational Bot/QA/IR/Dialogue Area
• Journal Reviewer: ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), IEEE Access