Publications
2023
Domain-Specific Risk Minimization for Out-of-Distribution Generalization | SIGKDD, 2023 | [Code] |
Yi-Fan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation | ICML, 2023 | [Code] | [Reading Notes] |
Yi-Fan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
Free Lunch for Domain Adversarial Training: Environment Label Smoothing | ICLR, 2023 | [Code] | [Reading Notes] |
Yi-Fan Zhang, xue wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
Learning Domain Invariant Representations for Generalizable Person Re-Identification | IEEE T-IP, 2023. |
Yi-Fan Zhang; Zhang Zhang; Da Li; Zhen Jia; Liang Wang; Tieniu Tann
Illumination Distillation Framework for Nighttime Person Re-Identification and a New Benchmark | IEEE T-MM, 2023. |
Andong Lu, Zhang Zhang, Yan Huang, Yi-Fan Zhang, Chenglong Li, Jin Tang, Liang Wang
2022
Towards Principled Disentanglement for Domain Generalization | CVPR 2022 Oral | Code
Hanlin Zhang, Yi-Fan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation | NeurIPS ML Safety Workshop, 2022. | Code
Yi-Fan Zhang, Hanlin Zhang, Zachary Lipton, Li Erran Li, Eric Xing
Focal and efficient IOU loss for accurate bounding box regression | Neurocomputing 506, 146-157 |
Yi-Fan Zhang, Weiqiang Ren, Zhang Zhang, Zhen Jia, Liang Wang, Tieniu Tan
2020
- Yi-Fan Zhang, Xinglin Zhang, and Feng Li. “BiCrowd: Online Bi-Objective Incentive Mechanism for Mobile Crowd Sensing”. IEEE Internet of Things Journal (JCR Q1)
- Yi-Fan Zhang, Xinglin Zhang, “Price Learning Based Incentive Mechanism for Mobile Crowd Sensing”. ACM Transactions on Sensor Networks (CCF B).
- Yi-Fan Zhang, Xinglin Zhang. “BundleSense: A Task-Bundling-Based Incentive Mechanism for Mobile Crowd Sensing”. International Conference on Computer Communications and Networks (ICCCN 2020)