“Yi Zhang @ IIP, NJU-CS”的版本间的差异

2020年6月26日 (五) 21:30的版本

Supervisor

• Professor Chong-Jun Wang and Jun-Yuan Xie

Biography

• I received my B.Sc. degree from Huazhong University of Science and Technology in June 2017. In September 2017 and 2019, I was admitted to study for a M.Sc. degree and Ph.D. degree in Nanjing University under the supervision of Prof. WANG Chongjun without entrance examination, respectively. 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 Systems, 34(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