Meta-SGD: Learning to Learn Quickly for Few Shot Learning. - Zhenguo Li; Fengwei Zhou; Fei Chen 013; Hang Li (CoRR, 2017)

Deep Meta-Learning: Learning to Learn in the Concept Space. - Fengwei Zhou; Bin Wu 003; Zhenguo Li (CoRR, 2018)

Multi-objective Neural Architecture Search via Non-stationary Policy Gradient. - Zewei Chen; Fengwei Zhou; George Trimponias; Zhenguo Li (CoRR, 2020)

VEGA: Towards an End-to-End Configurable AutoML Pipeline. - Bochao Wang; Hang Xu 004; Jiajin Zhang; Chen Chen 077; Yixing Xu; Xiaozhi Fang; Ning Kang 001; Lanqing Hong; Chenhan Jiang; Xinyue Cai; Jiawei Li; Fengwei Zhou; et al. (CoRR, 2020)

DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. - Haoyue Bai 001; Rui Sun; Lanqing Hong; Fengwei Zhou; Nanyang Ye 001; Han-Jia Ye; S.-H. Gary Chan; Zhenguo Li (AAAI, 2021)

MetaAugment: Sample-Aware Data Augmentation Policy Learning. - Fengwei Zhou; Jiawei Li; Chuanlong Xie; Fei Chen 013; Lanqing Hong; Rui Sun; Zhenguo Li (AAAI, 2021)

Adversarial Robustness for Unsupervised Domain Adaptation. - Muhammad Awais; Fengwei Zhou; Hang Xu 004; Lanqing Hong; Ping Luo 002; Sung-Ho Bae; Zhenguo Li (ICCV, 2021)

NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. - Haoyue Bai 001; Fengwei Zhou; Lanqing Hong; Nanyang Ye 001; S.-H. Gary Chan; Zhenguo Li (ICCV, 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 (NeurIPS, 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 001 (CoRR, 2021)

OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms. - Nanyang Ye 001; Kaican Li; Lanqing Hong; Haoyue Bai 001; Yiting Chen 003; Fengwei Zhou; Zhenguo Li (CoRR, 2021)

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. - Nanyang Ye 001; Kaican Li; Haoyue Bai 001; Runpeng Yu 001; Lanqing Hong; Fengwei Zhou; Zhenguo Li; Jun Zhu 001 (CVPR, 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 (NeurIPS, 2022)

AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction. - Niannan Xue; Bin Liu 072; Huifeng Guo; Ruiming Tang; Fengwei Zhou; Stefanos Zafeiriou; Yuzhou Zhang; Jun Wang 012; Zhenguo Li (IEEE Trans. Knowl. Data Eng., 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)

DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization. - Qishi Dong; Fengwei Zhou; Ning Kang 001; Chuanlong Xie; Shifeng Zhang; Jiawei Li; Heng Peng; Zhenguo Li (AAAI, 2023)

Fair-CDA: Continuous and Directional Augmentation for Group Fairness. - Rui Sun; Fengwei Zhou; Zhenhua Dong; Chuanlong Xie; Lanqing Hong; Jiawei Li; Rui Zhang 003; Zhen Li; Zhenguo Li (AAAI, 2023)

Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. - Zhao Wang 006; Aoxue Li; Fengwei Zhou; Zhenguo Li; Qi Dou 001 (BMVC, 2023)

Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks. - Xuanzhe Xiao; Zeng Li; Chuanlong Xie; Fengwei Zhou (ICANN (10), 2023)

Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. - Tianyang Hu; Zhili Liu; Fengwei Zhou; Wenjia Wang; Weiran Huang 001 (ICLR, 2023)

Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. - Yimeng Chen; Tianyang Hu; Fengwei Zhou; Zhenguo Li; Zhi-Ming Ma (ICML, 2023)

Designing a Social Network Framework Utilizing New Swarm and P2P Technologies for Application in Office Automation. - Muya Yao; Ngai Cheong; Yufei Hu; Fengwei Zhou (ICSI, 2024)

MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scores. - Fengwei Zhou; Jiafei Song; Wenjin Jason Li; Gengjian Xue; Zhikang Zhao; Yichao Lu; Bailin Na (CoRR, 2025)