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2020 – today
- 2024
[c14]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: 363-374- [i18]Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou:
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. CoRR abs/2403.09433 (2024) - 2023
- [c13]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: 4250-4258 - [c12]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: 9918-9926 - [c11]Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou:
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. BMVC 2023: 93 - [c10]Xuanzhe Xiao
, Zeng Li, Chuanlong Xie, Fengwei Zhou:
Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks. ICANN (10) 2023: 236-247 - [c9]Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang:
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. ICLR 2023 - [c8]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: 4623-4640 - [i17]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 abs/2304.00295 (2023) - [i16]Xuanzhe Xiao, Zeng Li, Chuanlong Xie, Fengwei Zhou:
Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks. CoRR abs/2304.02911 (2023) - [i15]Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhiming Ma:
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. CoRR abs/2306.02595 (2023) - 2022
- [j2]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): 2653-2666 (2022) - [j1]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) - [c7]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: 7937-7948 - [c6]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 - [i14]Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang:
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. CoRR abs/2205.14814 (2022) - [i13]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 abs/2210.09236 (2022) - 2021
- [c5]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: 6705-6713 - [c4]Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li:
MetaAugment: Sample-Aware Data Augmentation Policy Learning. AAAI 2021: 11097-11105 - [c3]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: 8300-8309 - [c2]Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li:
Adversarial Robustness for Unsupervised Domain Adaptation. ICCV 2021: 8548-8557 - [c1]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: 4555-4569 - [i12]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 abs/2101.01400 (2021) - [i11]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 abs/2106.03721 (2021) - [i10]Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li:
Adversarial Robustness for Unsupervised Domain Adaptation. CoRR abs/2109.00946 (2021) - [i9]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 abs/2109.02038 (2021) - [i8]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 abs/2109.05765 (2021) - [i7]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 abs/2111.05073 (2021) - 2020
- [i6]Zewei Chen, Fengwei Zhou, George Trimponias, Zhenguo Li:
Multi-objective Neural Architecture Search via Non-stationary Policy Gradient. CoRR abs/2001.08437 (2020) - [i5]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 abs/2011.01507 (2020) - [i4]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 abs/2012.09382 (2020) - [i3]Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li:
MetaAugment: Sample-Aware Data Augmentation Policy Learning. CoRR abs/2012.12076 (2020)
2010 – 2019
- 2018
- [i2]Fengwei Zhou, Bin Wu, Zhenguo Li:
Deep Meta-Learning: Learning to Learn in the Concept Space. CoRR abs/1802.03596 (2018) - 2017
- [i1]Zhenguo Li, Fengwei Zhou, Fei Chen, Hang Li:
Meta-SGD: Learning to Learn Quickly for Few Shot Learning. CoRR abs/1707.09835 (2017)
Coauthor Index
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