Fengwei Zhou

According to our database, Fengwei Zhou authored at least 21 papers between 2017 and 2023.

Collaborative distances:

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

2023

Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks.

Xuanzhe Xiao, Zeng Li, Chuanlong Xie, Fengwei Zhou

CoRR, 2023

Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization.

Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma

Proceedings of the International Conference on Machine Learning, 2023

Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding.

Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization.

Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Fair-CDA: Continuous and Directional Augmentation for Group Fairness.

Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization.

Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture.

Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li

Trans. Mach. Learn. Res., 2022

AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction.

Niannan Xue, Bin Liu, Huifeng Guo, Ruiming Tang, Fengwei Zhou, Stefanos Zafeiriou, Yuzhou Zhang, Jun Wang, Zhenguo Li

IEEE Trans. Knowl. Data Eng., 2022

ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization.

Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.

Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms.

Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li

CoRR, 2021

Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation.

Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu

CoRR, 2021

MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps.

Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization.

Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Robustness for Unsupervised Domain Adaptation.

Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MetaAugment: Sample-Aware Data Augmentation Policy Learning.

Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.

Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

VEGA: Towards an End-to-End Configurable AutoML Pipeline.

Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang

CoRR, 2020

Multi-objective Neural Architecture Search via Non-stationary Policy Gradient.

Zewei Chen, Fengwei Zhou, George Trimponias, Zhenguo Li

CoRR, 2020

2018

Deep Meta-Learning: Learning to Learn in the Concept Space.

Fengwei Zhou, Bin Wu, Zhenguo Li

CoRR, 2018

2017

Meta-SGD: Learning to Learn Quickly for Few Shot Learning.

Zhenguo Li, Fengwei Zhou, Fei Chen, Hang Li

CoRR, 2017