查看“Yi Zhang @ IIP, NJU-CS”的源代码


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<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:larger;">张怡 Yi Zhang</span></span>

<span style="font-family:Times New Roman,Times,serif;"><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></span>

<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:larger;">'''Email''': njuzhangy@gmail.com</span></span>

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<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:larger"><span style="color:#3498db">'''Supervisor'''</span></span></span>

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*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Professor Chong-Jun Wang and Jun-Yuan Xie</span></span> 

<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:larger"><span style="color:#3498db">'''Biography'''</span></span></span>

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*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">I received my B.Sc. degree from Huazhong University of Science & Technology in June 2017. In the same year, I was admitted to study for a Master degree in Nanjing University without entrance examination. Currently, I am a first&nbsp;year Ph.D.&nbsp;student of Department of Computer Science and Technology at&nbsp;Nanjing University and a member of IIP Group.</span></span> 

<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:larger"><span style="color:#3498db">'''Research Interest'''</span></span></span>

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<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">My research interests include:&nbsp;'''Machine Learning, Multi-modal and Multi-label Learning'''</span></span>

<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:larger"><font color="#3498db">'''Publications'''</font></span></span>

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*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''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&nbsp;''2019 IEEE International Conference on Multimedia and Expo (ICME)''&nbsp;(pp. 838-843). IEEE.</span></span> 
*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Cheng, H., Lu, H., Zhang, L., Wang, C., & Xie, J. (2019, November). Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen. In&nbsp;''2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)''&nbsp;(pp. 102-106). IEEE.</span></span> 
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. Common and Discriminative Semantic Pursuit for Multi-modal Multi-label Learning.&nbsp;''<span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">In Proceedings of ECAI 2020, Accepted</span></span></span></span>''</span></span> 
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang L., & Wang, C.</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">. Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning.&nbsp;''<span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">In Proceedings of IJCNN 2020, Accepted</span></span></span></span>''</span></span> 
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang Y.''', Zhang Z., Zhu Y., Zhang L.,&nbsp;and Wang C. Discriminative Multi-label Model Reuse for Multi-label Learning. ''<span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">In Proceedings of APWeb-WAIM 2020, Accepted</span></span></span></span>''</span></span> 
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In&nbsp;''Proceedings of the 17th international conference on autonomous agents and multiagent systems''&nbsp;(pp. 41-49).</span></span> 
*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. In&nbsp;''2019 International Joint Conference on Neural Networks (IJCNN)''&nbsp;(pp. 1-8). IEEE.</span></span> 
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, W., '''Zhang, Y.''', Zhang, L., Wu, J., & Wang, C. (2020). Fast core pricing algorithms for path auction.&nbsp;''Autonomous Agents and Multi-Agent Systems'',&nbsp;''34''(1), 18.</span></span> 
*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du, Y., Tan, Z., Chen, Q., '''Zhang, Y.''', & Wang, C. (2019). Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization.&nbsp;</span></span>''<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;"><span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">In Proceedings of ECAI 2020, Accepted</span></span></span></span></span></span>'' 
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Chen, Q., Du, Y., Tan, Z., '''Zhang, Y.,'''&nbsp; <span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">&&nbsp;</span></span></span></span>Wang, C. Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconnstructionn Networks. ''<span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">In Proceedings of ECML-PKDD 2020, Accepted</span></span></span></span>''</span></span> 

<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:larger"><span style="color:#3498db">'''Rewards or Honors'''</span></span></span>

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*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhonghui Information&nbsp;Scholarship, December&nbsp;2019</span></span> 
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Excellent Graduate Student of Nanjing University in 2019</span></span> 
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Excellent Graduate Student of Nanjing University in 2018</span></span> 
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">First-Class Academic Scholarship, 2018-2019</span></span> 
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">First-Class Academic Scholarship, 2017-2018</span></span> 
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Outstanding Graduate of Huazhong University of Science and Technology. Wuhan, June&nbsp;2017</span></span> 

<span style="font-size:larger;"><span style="font-family:Times New Roman,Times,serif;"><span style="color:#3498db">'''Correspondence'''</span></span></span>

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<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Mail'''</span></span>

<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Yi Zhang<br/> National Key Laboratory for Novel Software Technology&nbsp;<br/> Nanjing University&nbsp;<br/> Nanjing 210023, China&nbsp;</span></span>

<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Laboratory'''</span></span>

<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">325, Building of Computer Science and Technology, Xianlin Campus of Nanjing University</span></span>