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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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2021 Conference Publication Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentationLi, Yang, Chen, Tong, Luo, Yadan, Yin, Hongzhi and Huang, Zi (2021). Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal, QC Canada, 19 - 27 August 2021. Palo Alto, CA United States: A A A I Press. doi: 10.24963/ijcai.2021/206 |
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2020 Conference Publication Learning from the past: continual meta-learning with Bayesian Graph Neural NetworksLuo, Yadan, Huang, Zi, Zhang, Zheng, Wang, Ziwei, Baktashmotlagh, Mahsa and Yang, Yang (2020). Learning from the past: continual meta-learning with Bayesian Graph Neural Networks. The Thirty-Fourth AAAI Conference on Artificial Intelligence/ The Thirty-Second Conference on Innovative Applications of Artificial Intelligence/ The Tenth Symposium on Educational Advances in Artificial Intelligence, New York, United States, 7-12 February 2020. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/aaai.v34i04.5942 |
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2020 Conference Publication Progressive graph learning for open-set domain adaptationLuo, Yadan, Wang, Zijian, Huang, Zi and Baktashmotlagh, Mahsa (2020). Progressive graph learning for open-set domain adaptation. 37th International Conference on Machine Learning ICML 2020, Vienna, Austria, 12-18 July 2020 . International Machine Learning Society . |
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2025 Journal Article Out-of-distribution detection with virtual outlier smoothingNie, Jun, Luo, Yadan, Ye, Shanshan, Zhang, Yonggang, Tian, Xinmei and Fang, Zhen (2025). Out-of-distribution detection with virtual outlier smoothing. International Journal of Computer Vision, 133 (2), 724-741. doi: 10.1007/s11263-024-02210-8 |
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2024 Journal Article Enhanced prediction accuracy in high-speed grinding of brittle materials using advanced machine learning techniquesLee, Sangkyoung, Chen, Zhuoxiao, Luo, Yadan, Li, Xuliang, Lu, Mingyuan, Huang, Zi Helen and Huang, Han (2024). Enhanced prediction accuracy in high-speed grinding of brittle materials using advanced machine learning techniques. Journal of Intelligent Manufacturing. doi: 10.1007/s10845-024-02532-x |
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2024 Conference Publication Find n’ Propagate: Open-Vocabulary 3D Object Detection in Urban EnvironmentsEtchegaray, Djamahl, Huang, Zi, Harada, Tatsuya and Luo, Yadan (2024). Find n’ Propagate: Open-Vocabulary 3D Object Detection in Urban Environments. 18th European Conference on Computer Vision ECCV 2024, Milan, Italy, 29 September – 4 October 2024. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-73661-2_8 |
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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, 25 (11), 15407-15436. doi: 10.1109/TITS.2024.3439557 |
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2024 Journal Article Prediction of perovskite oxygen vacancies for oxygen electrocatalysis at different temperaturesLi, Zhiheng, Mao, Xin, Feng, Desheng, Li, Mengran, Xu, Xiaoyong, Luo, Yadan, Zhuang, Linzhou, Lin, Rijia, Zhu, Tianjiu, Liang, Fengli, Huang, Zi, Liu, Dong, Yan, Zifeng, Du, Aijun, Shao, Zongping and Zhu, Zhonghua (2024). Prediction of perovskite oxygen vacancies for oxygen electrocatalysis at different temperatures. Nature Communications, 15 (1) 9318, 1-12. doi: 10.1038/s41467-024-53578-7 |
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2024 Conference Publication DPO: dual-perturbation optimization for test-time adaptation in 3D object detectionChen, Zhuoxiao, Wang, Zixin, Luo, Yadan, Wang, Sen and Huang, Zi (2024). DPO: dual-perturbation optimization for test-time adaptation in 3D object detection. MM '24: The 32nd ACM International Conference on Multimedia, Melbourne, VIC, Australia, 28 October-1 November 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3664647.3681040 |
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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, 133 (3), 1-34. doi: 10.1007/s11263-024-02213-5 |
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2024 Conference Publication Edge deployable online domain adaptation for underwater object detectionEtchegaray, Djamahl, Luo, Yadan, Li, Yang, Do, Brendan, Liu, Jiajun, Huang, Zi and Kusy, Branislav (2024). Edge deployable online domain adaptation for underwater object detection. 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 30 June - 5 July 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/ijcnn60899.2024.10650705 |
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2024 Conference Publication ConjNorm: tractable density estimation for out-of-distribution detectionPeng, Bo, Luo, Yadan, Zhang, Yonggang, Li, Yixuan and Fang, Zhen (2024). ConjNorm: tractable density estimation for out-of-distribution detection. 12th International Conference on Learning Representations, ICLR 2024, Vienna, Austria, 7-11 May 2024. Vienna, Austria: International Conference on Learning Representations, ICLR. |
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2024 Conference Publication Optimizing taxi route planning based on taxi trajectory data analysisYang, Xinyi, Chen, Zhi and Luo, Yadan (2024). Optimizing taxi route planning based on taxi trajectory data analysis. 34th Australasian Database Conference (ADC), Melbourne, VIC, Australia, 1-3 November 2023. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-47843-7_4 |
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2024 Conference Publication Color-oriented redundancy reduction in dataset distillationYuan, Bowen, Wang, Zijian, Baktashmotlagh, Mahsa, Luo, Yadan and Huang, Zi (2024). Color-oriented redundancy reduction in dataset distillation. Thirty-eighth Annual Conference on Neural Information Processing Systems, Vancouver, BC, Canada, 10 - 15 December 2024. Maryland Heights, MO, United States: Morgan Kaufmann Publishers. |
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2023 Conference Publication Learning efficient unsupervised satellite image-based building damage detectionZhang, Yiyun, Wang, Zijian, Luo, Yadan, Yu, Xin and Huang, Zi (2023). Learning efficient unsupervised satellite image-based building damage detection. 2023 IEEE International Conference on Data Mining (ICDM), Shanghai, China, 1-4 December 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/icdm58522.2023.00206 |
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2023 Conference Publication Open-RoadAtlas: Leveraging VLMs for road condition survey with real-time mobile auditingEtchegaray, Djamahl, Luo, Yadan, FitzChance, Zachary, Southon, Anthony and Zhong, Jinjiang (2023). Open-RoadAtlas: Leveraging VLMs for road condition survey with real-time mobile auditing. MM '23: The 31st ACM International Conference on Multimedia, Ottawa, ON Canada, 29 October - 3 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3581783.3612668 |
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2023 Conference Publication Cal-SFDA: Source-free domain-adaptive semantic segmentation with differentiable expected calibration errorWang, Zixin, Luo, Yadan, Chen, Zhi, Wang, Sen and Huang, Zi (2023). Cal-SFDA: Source-free domain-adaptive semantic segmentation with differentiable expected calibration error. MM '23: The 31st ACM International Conference on Multimedia, Ottawa, ON Canada, 29 October - 3 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3581783.3611808 |
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2023 Conference Publication Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-LabelingChen, Zhuoxiao, Luo, Yadan, Wang, Zheng, Baktashmotlagh, Mahsa and Huang, Zi (2023). Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling. IEEE/CVF International Conference on Computer Vision 2023 (ICCV), Paris, France, 2-6 October 2023. Paris, France: Computer Vision Foundation. doi: 10.1109/iccv51070.2023.00344 |
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2023 Conference Publication How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their TransferabilityWang, Zijian, Luo, Yadan, Zheng, Liang, Huang, Zi and Baktashmotlagh, Mahsa (2023). How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability. IEEE/CVF International Conference on Computer Vision 2023 (ICCV), Paris, France, 2-6 October 2023. Paris, France: Computer Vision Foundation. doi: 10.1109/iccv51070.2023.00511 |
