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


Sep 05, 2021
Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S. -H. Gary Chan, Zhenguo Li

* Accepted by ICCV2021 

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Adversarial Robustness for Unsupervised Domain Adaptation


Sep 02, 2021
Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li

* Accepted by ICCV 2021 

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MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving


Aug 27, 2021
Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung

* Accepted by ICCV 2021 

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Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision


Jul 20, 2021
Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng


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SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving


Jun 22, 2021
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu


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Contextualizing Multiple Tasks via Learning to Decompose


Jun 15, 2021
Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan


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


Jun 07, 2021
Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li


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How Well Self-Supervised Pre-Training Performs with Streaming Data?


Apr 25, 2021
Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng

* 16 pages; 16figures 

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Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation


Jan 05, 2021
Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu


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ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning


Jan 02, 2021
Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu


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MetaAugment: Sample-Aware Data Augmentation Policy Learning


Dec 22, 2020
Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li

* Accepted by AAAI2021 

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


Dec 17, 2020
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S. -H. Gary Chan, Zhenguo Li

* Accepted by AAAI2021 

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Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models


Nov 07, 2020
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang


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


Nov 05, 2020
Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Xiaozhi Fang, Ning Kang, Lanqing Hong, Wei Zhang, Yong Li, Zhicheng Liu, Zhenguo Li, Wenzhi Liu, Tong Zhang

* AutoML pipeline. Code is open-sourced at https://github.com/huawei-noah/vega 

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