We are exploring the unknown but wonderful world!

Biography

I am working towards my Ph. D. degree in Computer Science at National University of Singapore. Before, I received my master's degree from South China University of Technology.

I am fortunately supervised by Asst. Prof. Jiashi Feng in LV lab and Asst. Prof. Bryan Hooi now. Before that, I worked closely with Prof. Mingkui Tan and Dr. Peilin Zhao.

I am broadly interested in machine learning and data mining, now with high self-motivation to explore self-supervised learning for improving generalization of deep neural networks.

Here are my Google Scholar and CV (Last updated: 2020.12).

Email: yifan.zhang@u.nus.edu.

Selected Publications


Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis

Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang

IEEE Transaction on Image Processing, 2020

(A short version is presented in NeurIPS workshop, 2019)

[TIP][NeurIPS workshop] [Code]


Relation-Aware Transformer for Portfolio Policy Learning

Ke Xu*, Yifan Zhang* (co-first author), Deheng Ye, Peilin Zhao, Mingkui Tan

International Joint Conference on Artificial Intelligence, 2020

[PDF] [Code]


Cost-sensitive Portfolio Selection via Deep Reinforcement Learning

Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan

IEEE Transaction on Knowledge and Data Engineering (TKDE), 2020

[PDF] [Code]



Online Adaptive Asymmetric Active Learning with Limited Budgets

Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan

IEEE Transaction on Knowledge and Data Engineering (TKDE), 2019

[PDF] / [Code]


Multi-marginal Wasserstein GAN

Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan

Neural Information Processing Systems (NeurIPS), 2019

[PDF] [Code]


From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification

Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Qingyao Wu, Mingkui Tan, Junzhou Huang, etc

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019

[PDF] / [Poster]



Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data

Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2018

[PDF] / [Supplementary] / [Code] / [Slides] / [Poster]


Adaptive Cost-Sensitive Online Classification

Peilin Zhao*, Yifan Zhang* (co-first author), Min Wu, Steven C. H. Hoi, Mingkui Tan, and Junzhou Huang

IEEE Transaction on Knowledge and Data Engineering (TKDE), 2018

[PDF]


Strategy-updating Depending on Local Environment Enhances Cooperation in Prisoner’s Dilemma Game

Yifan Zhang, Gang Shu, Ya Li

Applied Mathematics and Computation, 2017

[PDF]

Awards and Scholarships

  • Best Project Award of the 17th STePS, provided by NUS Computing, 2020

  • Ph.D. Research Scholarship, provided by National University of Singapore, 2020

  • Science and Technology Innovation Award, provided by South China University of Technology, 2018

  • National Scholarship, provided by Ministry of Education, China, 2018

  • ACM SIGKDD Student Travel Award, provided by Association for Computing Machinery (ACM), 2018

  • Honorable Mention of MCM/ICM, provided by Consortium for Mathematics and Its Applications, 2016

  • Excellent Student Leader Award, provided by Southwest University, 2016

  • National Scholarship, provided by Ministry of Education, China, 2015

  • National Encouragement Scholarship, provided by Ministry of Education, China, 2014

Thanks for your attention !