Currently I am a first year graduate student of
Department of Computer Science and Technology in
Nanjing
University and a member of LAMDA Group (LAMDA Publications), led by professor Zhi-Hua
Zhou.
EditSupervisor
Professor
De-Chuan Zhan.
EditBiography
I received my
B.Sc. degree in Information and Computing Sciences in June 2016 from
University of Electronic Science and Technology. In the same year, I
was admitted to study for a M.Sc. degree in
Nanjing University without entrance examination.
EditResearch Interest
My research interests include: Machine Learning.
EditPublications
Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang. Deep Robust Unsupervised Multi-Modal Network. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI’19), Hilton Hawaiian Village, Honolulu, Hawaii, USA, 2019.
Yi-Feng Wu, De-Chuan Zhan, Yuan Jiang. DMTMV: A Unified Learning Framework for Deep Multi-Task Multi-View Learning. In: Proceedings of the 2018 IEEE International Conference on Big Knowledge (ICBK’2018), Singapore, 2018
Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Yuan Jiang. Deep Multi-modal Learning with Cascade Consensus. In: Proceedings of the Pacific Rim International Conference on Artificial Intelligence (PRICAI'18), Nanjing, China, 2018.
Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang. Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. In: Proceedings of the Annual Conference on ACM SIGKDD (KDD'18), London, UK, 2018.
Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Yuan Jiang. Multi-Network User Identification via Graph-Aware Embedding. In: Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'18), Melbourne, Australia, 2018.
EditAwards & Honors
- National Undergraduate Scholarship. Chengdu, 2013
- Silver Medal in the 2014 ACM-ICPC Asia Guangzhou Regional Contest. Guangzhou, 2014
- Gold Medal in the 2015 China Collegiate Programming Contest. Nanyang, 2015
- Excellent Graduate of University of Electronic Science and Technology. Chengdu, 2016
Mail: State Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China (in Chinese:)
南京市栖霞区仙林大道163号,南京大学仙林校区603信箱,软件新技术国家重点实验室,210023。