Yi Zhang @ IIP, NJU-CS
来自南京大学IIP
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张怡 Yi Zhang Ph.D. Candidate @ IIP Group 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 and Technology in June 2017. In September 2017 and 2019, I was admitted to study for an M.Sc. degree and Ph.D. degree at Nanjing University under the supervision of Prof. Chong-Jun Wang without entrance examination, respectively. Currently, I am a second-year Ph.D. student of Department of Computer Science and Technology at Nanjing University and a member of IIP Group. I am also one of the members of the international branches of Hasso-Plattner-Institut from Germany (2020- ).
- 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. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In 2020 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.
- Zhang, Y., Zhang, Z., Zhu, Y., Zhang, L., & Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data (pp. 725-739). Springer, Cham.
- 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
- Zhu, Y., & Zhang, Y. (2020, July). M3LA: A Novel Approach Based on Encoder-Decoder with Attention Framework for Multi-modal Multi-label Learning. In 2020 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.
- 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
- Shen J., Zhang Y., Yu C., Wang C. Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen. In Proceedings of BIBM 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
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
