“Chenghao”的版本间的差异

来自南京大学IIP
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程浩  Cheng hao
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<span style="font-size:larger;">'''Cheng Hao'''</span>
  
PhD Candidate @ IIP&nbsp;Group<br/> Department of Computer Science and Technology<br/> National Key Laboratory for Novel Software Technology<br/> Nanjing University
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<span style="font-size:larger;">Ph.D. Candidate @ IIP&nbsp;Group<br/> Department of Computer Science and Technology<br/> National Key Laboratory for Novel Software Technology<br/> Nanjing University</span>
 
 
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Email: njuchengh@163.com
 
  
 
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<span style="font-size:larger;">Email: chengh@smail.nju.edu.cn</span>
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2020年9月25日 (五) 10:37的版本

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Cheng Hao

Ph.D. Candidate @ IIP Group
Department of Computer Science and Technology
National Key Laboratory for Novel Software Technology
Nanjing University

Email: chengh@smail.nju.edu.cn

 

 

Supervisor


Professor Chong-Jun Wang

Biography


I received my B.Sc. degree in of Nanjing University in June 2017. In the same year, I was admitted to study for a Phd degree in Nanjing University without entrance examination. 

Currently I am a first year PhD student of Department of Computer Science and Technology in Nanjing University and a member of IIP Group, led by professor Jun-Yuan Xie and Chong-Jun Wang.

Research Interest


I am interested in Machine Learning and Mechanism design. Currently I am focusing on the subfields:

  • path auctions in crowdsourcing
  • data valuation

Award or honor


  • National Scholarship for Encouragement 2016
  • Principal Special Freshman Scholarship  2017
  • Artificial Intelligence Scholarship 2018
  • First-Class Doctoral Excellence Scholarship of Nanjing University 2019

meetings


Publications 


  • Cheng h, Zhang l, Zhang y, Wu J, Wang C. Optimal Constraint Collection for Core-selecting Path Mechanism[C]. In Proceedings of AAMAS. Stockholm, Sweden, 2018. [链接].
  • Cheng, H., Zhang, W., Zhang, Y., Zhang, L., Wu, J., & Wang, C. (2020). Fast core pricing algorithms for path auction. Autonomous Agents and Multi-Agent Systems, 34(1), 18.[pdf]
  • Zhang, Y., Zeng, C., Cheng, H., Wang, C., & Zhang, L. (2019, July). Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem. In 2019 IEEE International Conference on Multimedia and Expo (ICME) (pp. 838-843). IEEE.