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, and fortunately supervised by Asst. Prof. Jiashi Feng and Asst. Prof. Bryan Hooi. I received my master's degree from South China University of Technology, working closely with Prof. Mingkui Tan and Dr. Peilin Zhao.

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

Here is my CV (Last updated: 2022.02). Email: yifan.zhang@u.nus.edu.

News

  • 2022.08: Invited to serve as a reviewer for ICLR'23, AAAI'23!

  • 2022.07: One co-first author paper accepted by ECCV'22!

  • 2022.05: Invited to serve as a reviewer for NeurIPS'22!

  • 2022.05: One co-first author paper accepted by ICML'22!

  • 2022.01: One collaborative paper accepted by ICLR'22!

  • 2022.01: Research Achievement Award by NUS Computing!

  • 2021.12: Invited to serve as a reviewer for ICML'22!

  • 2021.10: Two papers accepted by NeurIPS'21, and one paper accepted by Neural Networks!

  • 2020.11: Best Project Award of the 17th STePS!

  • 2020.08: Start Ph.D. journey at National University of Singapore (NUS) with Ph.D. research scholarship!

Selected Publications (Google Scholar)

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning

Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng

Neural Information Processing Systems (NeurIPS), 2021

[PDF] / [Code] / [Slides] / [Video]


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 (TIP), 2020

NeurIPS workshop, 2019

[TIP] / [NeurIPS workshop] / [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] / [Slides] / [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

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

[KDD] / [TKDE] / [Code] / [Slides] / [Poster]

Professional Services

  • Conferences: NeurIPS (20/21/22), CVPR (21/22), ICML (21/22), ICLR (22/23), ECCV (22), AAAI (21/22/23), MICCAI (19/20)

  • Journals: TPAMI, TIP, IJCV, JMLR, TNNLS

Awards and Scholarships

  • Research Achievement Award, provided by NUS Computing, 2022

  • 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

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

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

Thanks for your attention !