Yifan Zhang
Cited by
Cited by
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
Y Zhang, Y Wei, Q Wu, P Zhao, S Niu, J Huang, M Tan
TIP 2020, 2020
Multi-Marginal Wasserstein GAN
J Cao, L Mo, Y Zhang, K Jia, C Shen, M Tan
NeurIPS 2019, 2019
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19
Y Zhang, S Niu, Z Qiu, Y Wei, P Zhao, J Yao, J Huang, Q Wu, M Tan
arXiv preprint arXiv:2005.01577, 2020
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification
Y Zhang, H Chen, Y Wei, P Zhao, J Cao, X Fan, X Lou, H Liu, J Hou, ...
MICCAI 2019, 2019
Adaptive Cost-Sensitive Online Classification
P Zhao*, Y Zhang*, M Wu, SCH Hoi, M Tan, J Huang
TKDE 2018, 2018
Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data
Y Zhang, P Zhao, J Cao, W Ma, J Huang, Q Wu, M Tan
SIGKDD 2018, 2018
Deep Long-Tailed Learning: A Survey
Y Zhang, B Kang, B Hooi, S Yan, J Feng
arXiv preprint arXiv:2110.04596, 2021
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning
Y Zhang, P Zhao, Q Wu, B Li, J Huang, M Tan
TKDE 2020, 2020
Source-Free Domain Adaptation via Avatar Prototype Generation and Adaptation
Z Qiu*, Y Zhang*, H Lin, S Niu, Y Liu, Q Du, M Tan
IJCAI 2021, 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
M Luo, F Chen, D Hu, Y Zhang, J Liang, J Feng
NeurIPS 2021, 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
Y Zhang, B Hooi, D Hu, J Liang, J Feng
NeurIPS 2021, 2021
Online Adaptive Asymmetric Active Learning with Limited Budgets
Y Zhang, P Zhao, S Niu, Q Wu, J Cao, J Huang, M Tan
TKDE 2019, 2019
Relation-Aware Transformer for Portfolio Policy Learning
K Xu*, Y Zhang*, D Ye, P Zhao, M Tan
IJCAI 2020, 2020
Strategy-updating Depending on Local Environment Enhances Cooperation in Prisoner’s Dilemma Game
Y Zhang, G Shu, Y Li
Applied Mathematics and Computation 2017, 2017
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision
Y Zhang, B Hooi, L Hong, J Feng
arXiv preprint arXiv:2107.09249, 2021
Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching
H Wu, H Zhu, Y Yan, J Wu, Y Zhang, MK Ng
TIP 2021, 2021
Disturbance-Immune Weight Sharing for Neural Architecture Search
S Niu*, J Wu*, Y Zhang*, Y Guo, P Zhao, J Huang, M Tan
Neural Networks 2021, 2021
How Well Self-Supervised Pre-Training Performs with Streaming Data?
D Hu, Q Lu, L Hong, H Hu, Y Zhang, Z Li, A Shen, J Feng
ICLR 2022, 2022
AdaXpert: Adapting Neural Architecture for Growing Data
S Niu, J Wu, G Xu, Y Zhang, Y Guo, P Zhao, P Wang, M Tan
ICML 2021, 2021
Efficient Test-Time Model Adaptation without Forgetting
S Niu*, J Wu*, Y Zhang*, Y Chen, S Zheng, P Zhao, M Tan
ICML 2022, 2022
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