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Featured 2023 Journal Article Source-free progressive graph learning for open-set domain adaptationLuo, Yadan, Wang, Zijian, Chen, Zhuoxiao, Huang, Zi and Baktashmotlagh, Mahsa (2023). Source-free progressive graph learning for open-set domain adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (9), 1-16. doi: 10.1109/tpami.2023.3270288 |
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Featured 2021 Journal Article Interpretable signed link prediction with signed infomax hyperbolic graphLuo, Yadan, Huang, Zi, Chen, Hongxu, Yang, Yang, Yin, Hongzhi and Baktashmotlagh, Mahsa (2021). Interpretable signed link prediction with signed infomax hyperbolic graph. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-1. doi: 10.1109/TKDE.2021.3139035 |
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2024 Journal Article In Search of Lost Online Test-Time Adaptation: A SurveyWang, Zixin, Luo, Yadan, Zheng, Liang, Chen, Zhuoxiao, Wang, Sen and Huang, Zi (2024). In Search of Lost Online Test-Time Adaptation: A Survey. International Journal of Computer Vision, 1-34. doi: 10.1007/s11263-024-02213-5 |
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2024 Journal Article Robustness-aware 3D object detection in autonomous driving: a review and outlookSong, Ziying, Liu, Lin, Jia, Feiyang, Luo, Yadan, Jia, Caiyan, Zhang, Guoxin, Yang, Lei and Wang, Li (2024). Robustness-aware 3D object detection in autonomous driving: a review and outlook. IEEE Transactions On Intelligent Transportation Systems. doi: 10.1109/TITS.2024.3439557 |
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2024 Journal Article Out-of-distribution detection with virtual outlier smoothingNie, Jun, Luo, Yadan, Ye, Shanshan, Zhang, Yonggang, Tian, Xinmei and Fang, Zhen (2024). Out-of-distribution detection with virtual outlier smoothing. International Journal of Computer Vision. doi: 10.1007/s11263-024-02210-8 |
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2023 Journal Article Hypercomplex context guided interaction modeling for scene graph generationWang, Zheng, Xu, Xing, Luo, Yadan, Wang, Guoqing and Yang, Yang (2023). Hypercomplex context guided interaction modeling for scene graph generation. Pattern Recognition, 141 109634, 109634. doi: 10.1016/j.patcog.2023.109634 |
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2023 Journal Article Deep collaborative graph hashing for discriminative image retrievalZhang, Zheng, Wang, Jianning, Zhu, Lei, Luo, Yadan and Lu, Guangming (2023). Deep collaborative graph hashing for discriminative image retrieval. Pattern Recognition, 139 109462, 1-14. doi: 10.1016/j.patcog.2023.109462 |
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2023 Journal Article GSMFlow: generation shifts mitigating flow for generalized zero-shot learningChen, Zhi, Luo, Yadan, Wang, Sen, Li, Jingjing and Huang, Zi (2023). GSMFlow: generation shifts mitigating flow for generalized zero-shot learning. IEEE Transactions on Multimedia, 25 (99), 5374-5385. doi: 10.1109/tmm.2022.3190678 |
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2021 Journal Article Collaborative learning for extremely low bit asymmetric hashingLuo, Yadan, Huang, Zi, Li, Yang, Shen, Fumin, Yang, Yang and Cui, Peng (2021). Collaborative learning for extremely low bit asymmetric hashing. IEEE Transactions on Knowledge and Data Engineering, 33 (12), 3675-3685. doi: 10.1109/tkde.2020.2977633 |
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2021 Journal Article High-order nonlocal Hashing for unsupervised cross-modal retrievalZhang, Peng-Fei, Luo, Yadan, Huang, Zi, Xu, Xin-Shun and Song, Jingkuan (2021). High-order nonlocal Hashing for unsupervised cross-modal retrieval. World Wide Web, 24 (2), 563-583. doi: 10.1007/s11280-020-00859-y |
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2020 Journal Article Deep collaborative discrete hashing with semantic-invariant structure constructionWang, Zijian, Zhang, Zheng, Luo, Yadan, Huang, Zi and Shen, Heng Tao (2020). Deep collaborative discrete hashing with semantic-invariant structure construction. IEEE Transactions on Multimedia, 23 9096547, 1274-1286. doi: 10.1109/tmm.2020.2995267 |
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2020 Journal Article Inductive structure consistent hashing via flexible semantic calibrationZhang, Zheng, Liu, Luyao, Luo, Yadan, Huang, Zi, Shen, Fumin, Shen, Heng Tao and Lu, Guangming (2020). Inductive structure consistent hashing via flexible semantic calibration. IEEE Transactions on Neural Networks and Learning Systems, 32 (10), 1-15. doi: 10.1109/tnnls.2020.3018790 |
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2019 Journal Article Deep reinforcement learning enabled self-learning control for energy efficient drivingQi, Xuewei, Luo, Yadan, Wu, Guoyuan, Boriboonsomsin, Kanok and Barth, Matthew (2019). Deep reinforcement learning enabled self-learning control for energy efficient driving. Transportation Research Part C: Emerging Technologies, 99, 67-81. doi: 10.1016/j.trc.2018.12.018 |
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2017 Journal Article Robust discrete code modeling for supervised hashingLuo, Yadan, Yang, Yang, Shen, Fumin, Huang, Zi, Zhou, Pan and Shen, Heng Tao (2017). Robust discrete code modeling for supervised hashing. Pattern Recognition, 75, 128-135. doi: 10.1016/j.patcog.2017.02.034 |
