Fengwei Zhou - RankMe

36 papers A* 11A 1Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OoDBench+: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Nanyang Ye, Kaican Li, Fan Wu, Jundong Zhou, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu, Xinbing Wang, Chenghu Zhou
2025	J	`jnl`	MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scores. CoRR Fengwei Zhou, Jiafei Song, Wenjin Jason Li, Gengjian Xue, Zhikang Zhao, Yichao Lu, Bailin Na
2024	—	`conf`	Designing a Social Network Framework Utilizing New Swarm and P2P Technologies for Application in Office Automation. ICSI Muya Yao, Ngai Cheong, Yufei Hu, Fengwei Zhou
2024	J	`jnl`	Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. CoRR Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou
2023	A*	`conf`	DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization. AAAI Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li
2023	A*	`conf`	Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. ICML Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma
2023	J	`jnl`	Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. CoRR Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhiming Ma
2023	A*	`conf`	Fair-CDA: Continuous and Directional Augmentation for Group Fairness. AAAI Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
2023	J	`jnl`	Fair-CDA: Continuous and Directional Augmentation for Group Fairness. CoRR Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
2023	—	`conf`	Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks. ICANN (10) Xuanzhe Xiao, Zeng Li, Chuanlong Xie, Fengwei Zhou
2023	J	`jnl`	Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks. CoRR Xuanzhe Xiao, Zeng Li, Chuanlong Xie, Fengwei Zhou
2023	A	`conf`	Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. BMVC Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou
2023	A*	`conf`	Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. ICLR Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang
2022	J	`jnl`	AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction. IEEE Trans. Knowl. Data Eng. Niannan Xue, Bin Liu, Huifeng Guo, Ruiming Tang, Fengwei Zhou, Stefanos Zafeiriou, Yuzhou Zhang, Jun Wang, Zhenguo Li
2022	J	`jnl`	DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. Trans. Mach. Learn. Res. Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
2022	A*	`conf`	OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. CVPR Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu
2022	J	`jnl`	Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. CoRR Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang
2022	A*	`conf`	ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. NeurIPS Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
2022	J	`jnl`	ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. CoRR Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
2021	A*	`conf`	Adversarial Robustness for Unsupervised Domain Adaptation. ICCV Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li
2021	J	`jnl`	Adversarial Robustness for Unsupervised Domain Adaptation. CoRR Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li
2021	J	`jnl`	DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. CoRR Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
2021	A*	`conf`	DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. AAAI Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
2021	A*	`conf`	MetaAugment: Sample-Aware Data Augmentation Policy Learning. AAAI Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li
2021	A*	`conf`	MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. NeurIPS Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li
2021	J	`jnl`	MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. CoRR Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li
2021	A*	`conf`	NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. ICCV Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li
2021	J	`jnl`	NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. CoRR Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li
2021	J	`jnl`	OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms. CoRR Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li
2021	J	`jnl`	Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation. CoRR Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu
2020	J	`jnl`	DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. CoRR Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
2020	J	`jnl`	MetaAugment: Sample-Aware Data Augmentation Policy Learning. CoRR Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li
2020	J	`jnl`	Multi-objective Neural Architecture Search via Non-stationary Policy Gradient. CoRR Zewei Chen, Fengwei Zhou, George Trimponias, Zhenguo Li
2020	J	`jnl`	VEGA: Towards an End-to-End Configurable AutoML Pipeline. CoRR 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
2018	J	`jnl`	Deep Meta-Learning: Learning to Learn in the Concept Space. CoRR Fengwei Zhou, Bin Wu, Zhenguo Li
2017	J	`jnl`	Meta-SGD: Learning to Learn Quickly for Few Shot Learning. CoRR Zhenguo Li, Fengwei Zhou, Fei Chen, Hang Li