Yifan Zhang

发表

How Well Does Self-Supervised Pre-Training Perform with Streaming ImageNet?

Xinchao Wang, Hailin Hu, Zhenguo Li, 2021 .

EasyChair Preprint No 865 Robust Authorship Verification with Transfer Learning

R. Vilalta, Dainis Boumber, Yifan Zhang, 2022 .

How Well Does Self-Supervised Pre-Training Perform with Streaming Data?

Xinchao Wang, Hailin Hu, Zhenguo Li, 2021, ICLR.

Institutional Knowledge at Singapore Management University Adaptive cost-sensitive online classification

Junzhou Huang, P. Zhao, S. Hoi, 2019 .

Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Adaptive cost-sensitive online classification Adaptive cost-sensitive online classification

Junzhou Huang, P. Zhao, S. Hoi, 2020 .

Modeling Review History for Reviewer Recommendation: A Hypergraph Approach

He Zhang, Yifan Zhang, Hongyu Kuang, 2022, 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE).

Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification

Mingkui Tan, Yifan Zhang, Fei Li, 2022, PRCV.

Efficient Test-Time Model Adaptation without Forgetting

Jiaxiang Wu, P. Zhao, S. Zheng, 2022, ICML.

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

Chuang Gan, Mingkui Tan, Yifan Zhang, 2022, ECCV.

Communication Lower Bounds for Nested Bilinear Algorithms

Edgar Solomonik, Yifan Zhang, Caleb Ju, 2021, ArXiv.

Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision

Bryan Hooi, Lanqing Hong, Yifan Zhang, 2021, ArXiv.

On Stability of Tensor Networks and Canonical Forms pdf

Yifan Zhang, Edgar Solomonik, Edgar Solomonik, 2020, ArXiv.

Deep Long-Tailed Learning: A Survey pdf

Shuicheng Yan, Bryan Hooi, Jiashi Feng, 2021, ArXiv.

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

Mingkui Tan, Shuaicheng Niu, Hongbin Lin, 2021, IJCAI.

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning pdf

Yifan Zhang, Qingyao Wu, Mingkui Tan, 2020, IEEE Transactions on Knowledge and Data Engineering.

No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data pdf

Jian Liang, Dapeng Hu, Fei Chen, 2021, NeurIPS.

Deep Long-Tailed Learning: A Survey

Shuicheng Yan, Bryan Hooi, Bingyi Kang, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition

Bryan Hooi, Lanqing Hong, Yifan Zhang, 2021, NeurIPS.

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis

Yifan Zhang, Qingyao Wu, Mingkui Tan, 2019, IEEE Transactions on Image Processing.

Multi-marginal Wasserstein GAN

Mingkui Tan, Chunhua Shen, Yifan Zhang, 2019, NeurIPS.

Relation-Aware Transformer for Portfolio Policy Learning

Ke Xu, Mingkui Tan, Deheng Ye, 2020, IJCAI.

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

Qingyao Wu, Mingkui Tan, Junzhou Huang, 2019, MICCAI.

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

Jiashi Feng, Bryan Hooi, Jian Liang, 2021, NeurIPS.

Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment

Mingkui Tan, Yifan Zhang, Qing Du, 2023, ArXiv.

Towards Stable Test-Time Adaptation in Dynamic Wild World

Jiaxiang Wu, P. Zhao, Mingkui Tan, 2023, ICLR.

Free Lunch for Domain Adversarial Training: Environment Label Smoothing

Yifan Zhang, Jian Liang, Zhang Zhang, 2023, ICLR.

ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection

Junwen Yang, Huajie Shao, Yifan Zhang, 2022, ArXiv.

AdaXpert: Adapting Neural Architecture for Growing Data

Mingkui Tan, Peilin Zhao, Guanghui Xu, 2021, ICML.

Correcting for Selection Bias in Learning-to-rank Systems

Yifan Zhang, E. Zheleva, K. Vasilaky, 2020, WWW.

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

Yifan Zhang, Qingyao Wu, Mingkui Tan, 2020, ArXiv.

Adaptive Cost-Sensitive Online Classification

Min Wu, Steven C. H. Hoi, Mingkui Tan, 2018, IEEE Transactions on Knowledge and Data Engineering.

Learning Defense Transformers for Counterattacking Adversarial Examples pdf

Mingkui Tan, Jiezhang Cao, Yifan Zhang, 2021, ArXiv.

Disturbance-immune Weight Sharing for Neural Architecture Search pdf

Mingkui Tan, Yong Guo, Yifan Zhang, 2020, Neural Networks.

Online Adaptive Asymmetric Active Learning With Limited Budgets pdf

Yifan Zhang, Qingyao Wu, Mingkui Tan, 2019, IEEE Transactions on Knowledge and Data Engineering.

Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data

Qingyao Wu, Mingkui Tan, Junzhou Huang, 2018, KDD.

How Well Self-Supervised Pre-Training Performs with Streaming Data? pdf

Zhenguo Li, Dapeng Hu, Jiashi Feng, 2021, ArXiv.

ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting

Ashfaqur Rahman, Yifan Zhang, J. Dabrowski, 2020, ICONIP.

Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling

Shuaicheng Niu, Mingkui Tan, Peilin Zhao, 2021, ACM Multimedia.

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract)

P. Zhao, Mingkui Tan, Deheng Ye, 2020, IJCAI.

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

Chuang Gan, Mingkui Tan, Yifan Zhang, 2022, ECCV.

Multi-Scale Transformer Pyramid Networks for Multivariate Time Series Forecasting

Yifan Zhang, S. Dascalu, F. Harris, 2023, IEEE Access.

Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting

Yifan Zhang, Yaofo Chen, Shuaicheng Niu, 2024, ArXiv.