Fengwei Zhou

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Joint Optimization

Domain Adaptation

Neural Architecture

Top Venues

Publications

Muya Yao, Ngai Cheong, Yufei Hu, Fengwei Zhou
Designing a Social Network Framework Utilizing New Swarm and P2P Technologies for Application in Office Automation. ICSI (2024)
Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. CoRR (2024)
Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. ICLR (2023)
Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization. AAAI (2023)
Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. ICML (2023)
Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhiming Ma
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. CoRR (2023)
Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. AAAI (2023)
Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. BMVC (2023)
Xuanzhe Xiao, Zeng Li, Chuanlong Xie, Fengwei Zhou
Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks. CoRR (2023)
Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. CoRR (2023)
Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. CoRR (2022)
Niannan Xue, Bin Liu, Huifeng Guo, Ruiming Tang, Fengwei Zhou, Stefanos Zafeiriou, Yuzhou Zhang, Jun Wang, Zhenguo Li
AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. CoRR (2022)
Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. CVPR (2022)
Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. NeurIPS (2022)
Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. Trans. Mach. Learn. Res. 2022 (2022)
Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li
MetaAugment: Sample-Aware Data Augmentation Policy Learning. AAAI (2021)
Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li
Adversarial Robustness for Unsupervised Domain Adaptation. ICCV (2021)
Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation. CoRR (2021)
Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms. CoRR (2021)
Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. CoRR (2021)
Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. ICCV (2021)
Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. CoRR (2021)
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. AAAI (2021)
Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li
Adversarial Robustness for Unsupervised Domain Adaptation. CoRR (2021)
Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. CoRR (2021)
Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. NeurIPS (2021)
Zewei Chen, Fengwei Zhou, George Trimponias, Zhenguo Li
Multi-objective Neural Architecture Search via Non-stationary Policy Gradient. CoRR (2020)
Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li
MetaAugment: Sample-Aware Data Augmentation Policy Learning. CoRR (2020)
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. CoRR (2020)
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
VEGA: Towards an End-to-End Configurable AutoML Pipeline. CoRR (2020)
Fengwei Zhou, Bin Wu, Zhenguo Li
Deep Meta-Learning: Learning to Learn in the Concept Space. CoRR (2018)
Zhenguo Li, Fengwei Zhou, Fei Chen, Hang Li
Meta-SGD: Learning to Learn Quickly for Few Shot Learning. CoRR (2017)