“Yi Zhang @ IIP, NJU-CS”的版本间的差异

来自南京大学IIP
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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-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-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., & 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.''', 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>  
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*<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-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-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-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-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-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>  
  

2020年6月26日 (五) 16:21的版本

 

2017.jpg

 

张怡 Yi Zhang

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

Email: njuzhangy@gmail.com

Supervisor


  • Professor Chong-Jun Wang and Jun-Yuan Xie

Biography


  • 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 year Ph.D. student of Department of Computer Science and Technology at Nanjing University and a member of IIP Group.

Research Interest


My research interests include: Machine Learning, Multi-modal and Multi-label Learning

Publications


  • 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.
  • 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 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 102-106). IEEE.
  • Zhang, Y., Shen, J., Zhang, Z., & Wang, C. Common and Discriminative Semantic Pursuit for Multi-modal Multi-label Learning. In Proceedings of ECAI 2020, Accepted
  • Zhang, Y., Shen, J., Zhang, Z., Zhang L., & Wang, C.. Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In Proceedings of IJCNN 2020, Accepted
  • Zhang Y., Zhang Z., Zhu Y., Zhang L., and Wang C. Discriminative Multi-label Model Reuse for Multi-label Learning. In Proceedings of APWeb-WAIM 2020, Accepted
  • Cheng, H., Zhang, L., Zhang, Y., Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In Proceedings of the 17th international conference on autonomous agents and multiagent systems (pp. 41-49).
  • Zeng, C., Zhang, Y., Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. In 2019 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.
  • 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 Systems34(1), 18.
  • Du, Y., Tan, Z., Chen, Q., Zhang, Y., & Wang, C. (2019). Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. In Proceedings of ECAI 2020, Accepted
  • Chen, Q., Du, Y., Tan, Z., Zhang, Y.,  Wang, C. Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconnstructionn Networks. In Proceedings of ECML-PKDD 2020, Accepted

Rewards or Honors


  • Zhonghui Information Scholarship, December 2019
  • Excellent Graduate Student of Nanjing University in 2019
  • Excellent Graduate Student of Nanjing University in 2018
  • First-Class Academic Scholarship, 2018-2019
  • First-Class Academic Scholarship, 2017-2018
  • Outstanding Graduate of Huazhong University of Science and Technology. Wuhan, June 2017

Correspondence


Mail

Yi Zhang
National Key Laboratory for Novel Software Technology 
Nanjing University 
Nanjing 210023, China 

Laboratory

325, Building of Computer Science and Technology, Xianlin Campus of Nanjing University