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Featured

2023

Journal Article

Source-free progressive graph learning for open-set domain adaptation

Luo, 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

Source-free progressive graph learning for open-set domain adaptation

Featured

2021

Conference Publication

Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation

Li, 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

Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation

Featured

2020

Conference Publication

Learning from the past: continual meta-learning with Bayesian Graph Neural Networks

Luo, 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

Learning from the past: continual meta-learning with Bayesian Graph Neural Networks

Featured

2020

Conference Publication

Progressive graph learning for open-set domain adaptation

Luo, 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 .

Progressive graph learning for open-set domain adaptation

2025

Journal Article

Open-CRB: Toward Open World Active Learning for 3D Object Detection

Chen, Zhuoxiao, Luo, Yadan, Wang, Zixin, Wang, Zijian and Huang, Zi (2025). Open-CRB: Toward Open World Active Learning for 3D Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47 (10), 8336-8350. doi: 10.1109/tpami.2025.3575756

Open-CRB: Toward Open World Active Learning for 3D Object Detection

2025

Conference Publication

Don’t Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving

Song, Ziying, Jia, Caiyan, Liu, Lin, Pan, Hongyu, Zhang, Yongchang, Wang, Junming, Zhang, Xingyu, Xu, Shaoqing, Yang, Lei and Luo, Yadan (2025). Don’t Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving. IEEE. doi: 10.1109/cvpr52734.2025.02089

Don’t Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving

2025

Journal Article

Out-of-distribution detection with virtual outlier smoothing

Nie, 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

Out-of-distribution detection with virtual outlier smoothing

2025

Conference Publication

Polaformer: polarity-aware linear attention for vision transformers

Meng, Weikang, Luo, Yadan, Li, Xin, Jiang, Dongmei and Zhang, Zheng (2025). Polaformer: polarity-aware linear attention for vision transformers. 13th International Conference on Learning Representations, ICLR 2025, Singapore, Singapore, 24 - 28 April 2025. Red Hook, NY, United States: Curran Associates.

Polaformer: polarity-aware linear attention for vision transformers

2025

Conference Publication

MOS: Model synergy for test-time adaptation on lidar-based 3D object detection

Chen, Zhuoxiao, Meng, Junjie, Baktashmotlagh, Mahsa, Zhang, Yonggang, Huang, Zi and Luo, Yadan (2025). MOS: Model synergy for test-time adaptation on lidar-based 3D object detection. 13th International Conference on Learning Representations, ICLR 2025, Singapore, Singapore, 24 - 28 April 2025. International Conference on Learning Representations, ICLR.

MOS: Model synergy for test-time adaptation on lidar-based 3D object detection

2024

Conference Publication

Exploiting descriptive completeness prior for cross modal hashing with incomplete labels

Luo, Haoyang, Zhang, Zheng and Luo, Yadan (2024). Exploiting descriptive completeness prior for cross modal hashing with incomplete labels. 38th Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, BA Canada, 9-15 Decmeber 2024. Maryland Heights, MO USA: Morgan Kaufmann Publishers.

Exploiting descriptive completeness prior for cross modal hashing with incomplete labels

2024

Journal Article

Enhanced prediction accuracy in high-speed grinding of brittle materials using advanced machine learning techniques

Lee, 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

Enhanced prediction accuracy in high-speed grinding of brittle materials using advanced machine learning techniques

2024

Conference Publication

Find n’ Propagate: Open-Vocabulary 3D Object Detection in Urban Environments

Etchegaray, 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

Find n’ Propagate: Open-Vocabulary 3D Object Detection in Urban Environments

2024

Journal Article

Robustness-aware 3D object detection in autonomous driving: a review and outlook

Song, 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

Robustness-aware 3D object detection in autonomous driving: a review and outlook

2024

Journal Article

Prediction of perovskite oxygen vacancies for oxygen electrocatalysis at different temperatures

Li, 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

Prediction of perovskite oxygen vacancies for oxygen electrocatalysis at different temperatures

2024

Conference Publication

DPO: dual-perturbation optimization for test-time adaptation in 3D object detection

Chen, 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

DPO: dual-perturbation optimization for test-time adaptation in 3D object detection

2024

Journal Article

In search of lost online test-time adaptation: a survey

Wang, 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), 1106-1139. doi: 10.1007/s11263-024-02213-5

In search of lost online test-time adaptation: a survey

2024

Conference Publication

Edge deployable online domain adaptation for underwater object detection

Etchegaray, 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

Edge deployable online domain adaptation for underwater object detection

2024

Conference Publication

DiPEx: Dispersing Prompt Expansion for class-agnostic object detection

Lim, Jia Syuen, Chen, Zhuoxiao, Baktashmotlagh, Mahsa, Chen, Zhi, Yu, Xin, Huang, Zi and Luo, Yadan (2024). DiPEx: Dispersing Prompt Expansion for class-agnostic object detection. 38th International Conference on Neural Information Processing Systems, Vancouver, BC Canada, 10-15 December 2024. New York, NY USA: Association for Computing Machinery.

DiPEx: Dispersing Prompt Expansion for class-agnostic object detection

2024

Conference Publication

Optimizing taxi route planning based on taxi trajectory data analysis

Yang, 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

Optimizing taxi route planning based on taxi trajectory data analysis

2024

Conference Publication

Color-oriented redundancy reduction in dataset distillation

Yuan, 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.

Color-oriented redundancy reduction in dataset distillation