| Goal-oriented gaze estimation for zero-shot learning Y Liu, L Zhou, X Bai, Y Huang, L Gu, J Zhou, T Harada CVPR 2021, 3794-3803, 2021 | 107 | 2021 |
| Nonlocal similarity based nonnegative tucker decomposition for hyperspectral image denoising X Bai, F Xu, L Zhou, Y Xing, L Bai, J Zhou IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 73 | 2018 |
| Latent distribution preserving deep subspace clustering L Zhou, X Bai, D Wang, X Liu, J Zhou, ER Hancock IJCAI 2019, 2019 | 63 | 2019 |
| Learning binary code for fast nearest subspace search L Zhou, X Bai, X Liu, J Zhou, ER Hancock Pattern Recognition 98, 107040, 2020 | 61 | 2020 |
| Exploring linear relationship in feature map subspace for convnets compression D Wang, L Zhou, X Zhang, X Bai, J Zhou arXiv preprint arXiv:1803.05729, 2018 | 59 | 2018 |
| Subspace structure regularized nonnegative matrix factorization for hyperspectral unmixing L Zhou, X Zhang, J Wang, X Bai, L Tong, L Zhang, J Zhou, E Hancock IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 38 | 2020 |
| Where to focus: investigating hierarchical attention relationship for fine-grained visual classification Y Liu, L Zhou, P Zhang, X Bai, L Gu, X Yu, J Zhou, ER Hancock ECCV 2022, 2022 | 15 | 2022 |
| Deep supervised hashing using symmetric relative entropy X Zhang, L Zhou, X Bai, X Luan, J Luo, ER Hancock Pattern Recognition Letters 125, 677-683, 2019 | 15 | 2019 |
| Hyperspectral image classification based on non-local neural networks C Wang, X Bai, L Zhou, J Zhou IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 14 | 2019 |
| Learning multi-view visual correspondences with self-supervision P Zhang, L Zhou, X Bai, C Wang, J Zhou, L Zhang, J Zheng Displays 72, 102160, 2022 | 12 | 2022 |
| Binary coding by matrix classifier for efficient subspace retrieval L Zhou, X Bai, X Liu, J Zhou Proceedings of the 2018 ACM on International Conference on Multimedia …, 2018 | 11 | 2018 |
| Information bottleneck and selective noise supervision for zero-shot learning L Zhou, Y Liu, P Zhang, X Bai, L Gu, J Zhou, Y Yao, T Harada, J Zheng, ... Machine Learning 112 (7), 2239-2261, 2023 | 10* | 2023 |
| Learning prototype via placeholder for zero-shot recognition Z Yang, Y Liu, W Xu, C Huang, L Zhou, C Tong IJCAI 2022, 2022 | 7 | 2022 |
| Iterative deep subspace clustering L Zhou, S Wang, X Bai, J Zhou, E Hancock Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2018 | 7 | 2018 |
| Fast subspace clustering based on the kronecker product L Zhou, X Bai, L Zhang, J Zhou, E Hancock 2020 International Conference on Pattern Recognition (ICPR), 1558-1565, 2021 | 5 | 2021 |
| Learning adversarial semantic embeddings for zero-shot recognition in open worlds T Li, G Pang, X Bai, J Zheng, L Zhou, X Ning Pattern Recognition 149, 110258, 2024 | 2 | 2024 |
| Aerial image recognition in discriminative bi-transformer Y Zhao, Y Chen, X Lu, L Zhou, S Xiong Signal Processing 207, 108963, 2023 | 2 | 2023 |
| Deep supervised hashing with information loss X Zhang, L Zhou, X Bai, E Hancock Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2018 | 2 | 2018 |
| Unsupervised Recognition of Unknown Objects for Open-World Object Detection R Fang, G Pang, L Zhou, X Bai, J Zheng arXiv preprint arXiv:2308.16527, 2023 | 1 | 2023 |
| Matrix classifier on dynamic functional connectivity for mci identification L Zhou, L Zhang, X Bai, J Zhou 2020 IEEE International Conference on Image Processing (ICIP), 325-329, 2020 | 1 | 2020 |
Xiao BaiProfessor of Computer Science, Beihang UniversityVerified email at buaa.edu.cn
