“ZhangLuoyi”的版本间的差异
来自南京大学IIP
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| − | *<font size="2">2014.09 - 2018.06: Completed undergraduate studies in | + | *<font size="2">2014.09 - 2018.06: Completed undergraduate studies in Nanjing University of Posts and Telecommunications, majored in Geographic Information Science.</font> |
| − | *<font size="2">2018.09 - 2021.06: Studying in | + | *<font size="2">2018.09 - 2021.06: Studying in Nanjing University, major in Computer Technology.</font> |
<span style="font-size:larger"><span style="color:#3498db">'''Research Interests'''</span></span> | <span style="font-size:larger"><span style="color:#3498db">'''Research Interests'''</span></span> | ||
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<span style="font-size:larger"><span style="color:#3498db">'''Present Research Topics'''</span></span> | <span style="font-size:larger"><span style="color:#3498db">'''Present Research Topics'''</span></span> | ||
| − | *The influence of high-order proximity in | + | *The influence of high-order proximity in <span style="font-size:small">Network Embedding</span>. |
*Graph attention mechanism. | *Graph attention mechanism. | ||
*GNN pretraining. | *GNN pretraining. | ||
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| − | *'''Luo-yi Zhang''', Xiao-wen Ma, Peng Shi, Sheng Bi and Chong-jun Wang. RegCNN: A Deep Multi-output Regression Method for Wastewater Treatment. ICTAI-2019. | + | *'''Luo-yi Zhang''', Xiao-wen Ma, Peng Shi, Sheng Bi and Chong-jun Wang. [https://ieeexplore.ieee.org/abstract/document/8995367 RegCNN: A Deep Multi-output Regression Method for Wastewater Treatment]. ICTAI-2019. |
| + | *Luo-yi Zhang, Ming Xu. EPINE: Enhanced Proximity Information Network Embedding. [http://arxiv.org/abs/2003.02689 http://arxiv.org/abs/2003.02689]. | ||
<span style="font-size:larger"><span style="color:#3498db">'''Resources'''</span></span> | <span style="font-size:larger"><span style="color:#3498db">'''Resources'''</span></span> | ||
2020年3月19日 (四) 19:27的最新版本
M.Sc. Student @ IIP Group
Department of Computer Science and Technology
Nanjing University, Nanjing, China
Email: zhangluoyi.cs@gmail.com
Supervisor
- Professor Chong-jun Wang
Biography
- 2014.09 - 2018.06: Completed undergraduate studies in Nanjing University of Posts and Telecommunications, majored in Geographic Information Science.
- 2018.09 - 2021.06: Studying in Nanjing University, major in Computer Technology.
Research Interests
Network Representation Learning (Network Embedding), Graph Neural Network and Deep Learning.
Present Research Topics
- The influence of high-order proximity in Network Embedding.
- Graph attention mechanism.
- GNN pretraining.
Publications
- Luo-yi Zhang, Xiao-wen Ma, Peng Shi, Sheng Bi and Chong-jun Wang. RegCNN: A Deep Multi-output Regression Method for Wastewater Treatment. ICTAI-2019.
- Luo-yi Zhang, Ming Xu. EPINE: Enhanced Proximity Information Network Embedding. http://arxiv.org/abs/2003.02689.
Resources
- updating...
Rewards or Honors
- First-Class Academic Scholarship, 2019-2020
- Second-Class Academic Scholarship, 2018-2019
