Yifan Zhang

According to our database, Yifan Zhang authored at least 26 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep Long-Tailed Learning: A Survey.

Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Towards Stable Test-time Adaptation in Dynamic Wild World.

Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Disentangling Writer and Character Styles for Handwriting Generation.

Gang Dai, Yifan Zhang, Qingfeng Wang, Qing Du, Zhuliang Yu, Zhuoman Liu, Shuangping Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning.

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

IEEE Trans. Knowl. Data Eng., 2022

Quantized Adaptive Subgradient Algorithms and Their Applications.

Ke Xu, Jianqiao Wangni, Yifan Zhang, Deheng Ye, Jiaxiang Wu, Peilin Zhao

CoRR, 2022

Boost Test-Time Performance with Closed-Loop Inference.

Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Peilin Zhao, Junzhou Huang, Yaowei Wang, Mingkui Tan

CoRR, 2022

Multi-scale Multi-target Domain Adaptation for Angle Closure Classification.

Zhen Qiu, Yifan Zhang, Fei Li, Xiulan Zhang, Yanwu Xu, Mingkui Tan

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Efficient Test-Time Model Adaptation without Forgetting.

Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan

Proceedings of the International Conference on Machine Learning, 2022

Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation.

Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Price Learning-based Incentive Mechanism for Mobile Crowd Sensing.

Yifan Zhang, Xinglin Zhang

ACM Trans. Sens. Networks, 2021

Online Adaptive Asymmetric Active Learning With Limited Budgets.

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

IEEE Trans. Knowl. Data Eng., 2021

Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching.

Hanrui Wu, Hong Zhu, Yuguang Yan, Jiaju Wu, Yifan Zhang, Michael K. Ng

IEEE Trans. Image Process., 2021

Disturbance-immune weight sharing for neural architecture search.

Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan

Neural Networks, 2021

Learning Defense Transformers for Counterattacking Adversarial Examples.

Jincheng Li, Jiezhang Cao, Yifan Zhang, Jian Chen, Mingkui Tan

CoRR, 2021

Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling.

Minli Li, Peilin Zhao, Yifan Zhang, Shuaicheng Niu, Qingyao Wu, Mingkui Tan

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation.

Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

AdaXpert: Adapting Neural Architecture for Growing Data.

Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis.

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

IEEE Trans. Image Process., 2020

BiCrowd: Online Biobjective Incentive Mechanism for Mobile Crowdsensing.

Yifan Zhang, Xinglin Zhang, Feng Li

IEEE Internet Things J., 2020

COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19.

Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan

CoRR, 2020

Relation-Aware Transformer for Portfolio Policy Learning.

Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

BundleSense: A Task-Bundling-Based Incentive Mechanism for Mobile Crowd Sensings.

Yifan Zhang, Xinglin Zhang

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2019

Adaptive Cost-Sensitive Online Classification.

Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang

IEEE Trans. Knowl. Data Eng., 2019

Multi-marginal Wasserstein GAN.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan, Junzhou Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data.

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

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018