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Yi Zhang @ IIP, NJU-CS

添加5,065字节, 2021年12月12日 (日) 20:32

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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

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'''Supervisor'''

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*Professor Chong-Jun Wang and Jun-Yuan Xie

'''Biography'''

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*I received my B.Sc. degree from Huazhong University of Science and& nbsp;Technology in June 2017. In ~~the same year~~September 2017 and 2019, I was admitted to study for ~~a Master~~ an M.Sc. degree and Ph.D. degree in at Nanjing University under the supervision of Prof. Chong-Jun Wang without entrance examination, respectively.  Currently, I am a ~~first ~~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 [https://hpi.de Hasso-Plattner-Institut] from Germany (2020- ). *'''Research Interest'''

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

'''Publications'''

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*''''''Zhang, Y.~~~~'''~~, Zeng~~, Wang, C., ~~Cheng~~& Zhang, ~~H., Wang, C., & Zhang, L~~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.(Oral presentation)*</span~~>~~ *~~'''~~'''Zhang, Y.~~~~'''~~~~, ~~Zhang~~Wang, ZC., ~~Cheng~~& Xie, HJ.~~, 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 Y, Z.~~''', Shen J~~label Learning.~~, Zhang Z., Wang C. Common and Discriminative Semantic Pursuit for Multi-modal Multi-label learning,~~  ''In Proceedings of ~~ECAI2020, Accepted~~24th European Conference on Artificial Intelligence - ECAI 2020 ''(pp. 1666-1673). (Oral presentation) *'''''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)''~~'Proceedings of~~  ~~IJCNN''''', Accepted<~~(pp. 1-8). IEEE. (Oral presentation) *'''Zhang , Y.''', Zhang , Z., Zhu , Y., Zhang , L.,&~~nbsp;and~~ 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''~~'Proceedings of~~  ~~APWeb-WAIM 2020'''''~~(pp. 725-739). Springer, ~~Accepted~~Cham. (Oral presentation) *~~Cheng~~'''Zhang, Y.''', Shen, HJ., Zhang, LZ., ~~'''Zhang, Y.''', Wu, J., & Wang~~& Wang, C. (~~2018, July~~2021). ~~Optimal constraint collection~~ Partial Modal Conditioned GANs for ~~core~~Multi-~~selecting path mechanism~~modal Multi-label Learning with Arbitrary Modal-Missing. In ~~Proceedings of the 17th international conference on autonomous agents and multiagent systems~~  ''DASFAA (~~pp. 41~~2)'' (pp. 413-49428). ~~International Foundation for Autonomous Agents and Multiagent Systems.~~ (Oral presentation)*</span~~>~~ *~~Zeng~~'''Zhang, Y.''', Shen, J., Yu, C., ~~'''Zhang~~& Wang, YC. (2021).~~''', Lu, H~~Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. ~~Y.,~~ In& ~~Wang, C. J.~~ nbsp;''DASFAA (~~2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. In 2019 International Joint Conference on Neural Networks (IJCNN~~2) '' (pp. 1465-8482). ~~IEEE.~~ (Oral presentation) *~~Cheng, H~~'''Zhang, Y.''', Shen, J., ~~Zhang~~Yu, WC., ~~'''Zhang~~& Wang, YC.~~'''~~(2021, ~~Zhang, L~~July).~~, Wu, J~~Label-Specific Alignment with Adversarial Multi-View Representation., In& ~~Wang, C.~~ nbsp;''2021 IEEE International Conference on Multimedia and Expo (~~2020~~ICME)'' (pp. ~~Fast core pricing algorithms for path auction~~1-6). ~~Autonomous Agents and Multi-Agent Systems, 34~~IEEE. (1Oral presentation)~~, 18.~~ *~~Du Y.~~'''Zhang, Y.''', Zhang, ~~Tan~~ Z., Chen Q, M., ~~'''Zhang Y~~Lu, H.~~'''~~,  & Wang , C. ~~Homogeneous Online Transfer~~  LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning ~~with Online Distribution Discrepancy Minimization, In Proceedings of ECAI2020, accepted~~. Intelligent Data Analysis. Accepted*<~~/span></~~spanstyle="font-family:Times New Roman,Times,serif;">~~~~ *~~Chen Q., Du Y., Tan Z.,~~ '''Zhang Y., Y.''', Chen, M., Shen, J.,  ~~~~modal Learning for Multi-label Emotion Recognition. In ''Proceedings of  AAAI 2022''. Accepted~~> *~~& Wang C~~Cheng, H., Zhang, L. ~~Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconnstructionn Networks~~, '''Zhang, Y. ~~In ~~'''~~''Proceedings of~~ , Wu, J., &~~nbsp;ECML - PKDD 2020'''''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.(2020, August). Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. ''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020 ''(pp. 1111-1118). *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. (2020, September). Unsupervised domain adaptation with joint domain-adversarial reconstruction networks. ''In Joint European Conference on Machine Learning and Knowledge Discovery in Databases'' (pp. 640-656). Springer, Cham. *Shen, J., '''Zhang, Y.''', Yu, C., & Wang, C. (2020, December). Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen. ''In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)'' (pp. 1124-1128). IEEE. *Lu, H. Y., '''Zhang, Y.''', & Du, Y. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. ''Data Technologies and Applications''. *Chen M., Du Y., '''Zhang, Y.''', Qian, S., & Wang, C.Semi-Supervised Learning with Multi-Head Co-Training. In ''Proceedings of  AAAI 2022''. Accepted

'''Rewards or Honors'''

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*Excellent Graduate Student of Nanjing University in 2020 *First Prize of Talent Scholarship, November 2020 *Zhonghui Information Scholarship, December 2019 *Excellent Graduate Student of Nanjing University in 2019 *Excellent Graduate Student of Nanjing University in 2018 *First-~~Class~~ class Academic Scholarship, 2018-2019 *First-~~Class~~ class Academic Scholarship, 2017-2018 *Outstanding Graduate of Huazhong University of Science and Technology. Wuhan, June 2017

'''Correspondence'''

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'''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

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Yi Zhang @ IIP, NJU-CS

南京大学IIP