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2025

Conference Publication

Are synthetic videos useful? A benchmark for retrieval-centric evaluation of synthetic videos

Zhao, Zecheng, Song, Selena, Chen, Tong, Chen, Zhi, Sadiq, Shazia and Luo, Yadan (2025). Are synthetic videos useful? A benchmark for retrieval-centric evaluation of synthetic videos. 2025 Conference on Multimedia-MM, Dublin, Ireland, 27-31 October 2025. New York, NY, United States: ACM. doi: 10.1145/3746027.3758257

Are synthetic videos useful? A benchmark for retrieval-centric evaluation of synthetic videos

2025

Conference Publication

WisWheat: a three-tiered vision-language dataset for wheat management

Yuan, Bowen, Song, Selena, Fernandez, Javier, Luo, Yadan, Baktashmotlagh, Mahsa and Wang, Zijian (2025). WisWheat: a three-tiered vision-language dataset for wheat management. 33rd ACM International Conference on Multimedia, Dublin, Ireland, 27-31 October 2025. New York, NY, United States: ACM. doi: 10.1145/3746027.3758256

WisWheat: a three-tiered vision-language dataset for wheat management

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. 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, United States, 10-17 June 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/cvpr52734.2025.02089

Don’t shake the wheel: momentum-aware planning in end-to-end autonomous driving

2025

Journal Article

Adsorption–photocatalysis synergistic removal of perfluoroalkyl/polyfluoroalkyl substances by reusable chitin/polyethylene imine/O-g-C3N4 sponges in water environments

Sun, Cuizhu, Wang, Zhenggang, Li, Xinfei, Luo, Yadan, Zheng, Hao, Li, Xuan, Chen, Lingyun and Li, Fengmin (2025). Adsorption–photocatalysis synergistic removal of perfluoroalkyl/polyfluoroalkyl substances by reusable chitin/polyethylene imine/O-g-C3N4 sponges in water environments. Chemical Engineering Journal, 511 162006. doi: 10.1016/j.cej.2025.162006

Adsorption–photocatalysis synergistic removal of perfluoroalkyl/polyfluoroalkyl substances by reusable chitin/polyethylene imine/O-g-C3N4 sponges in water environments

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

2025

Conference Publication

CodeMerge: Codebook-guided model merging for robust test-time adaptation in autonomous driving

Yang, Huitong, Chen, Zhuoxiao, Zhang, Fengyi, Huang, Zi and Luo, Yadan (2025). CodeMerge: Codebook-guided model merging for robust test-time adaptation in autonomous driving. 39th Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, CA, United States, 2-7 December 2025. Maryland Heights, MO, United States: Morgan Kaufmann Publishers. doi: 10.52202/085713-1642

CodeMerge: Codebook-guided model merging for robust test-time adaptation in autonomous driving

2025

Conference Publication

Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving

Askari, Hossein, Luo, Yadan, Sun, Hongfu and Roosta, Fred (2025). Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving. 39th Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, CA United States, 2-7 December 2025. San Diego, CA United States: Neural Information Processing Systems Foundation. doi: 10.52202/085713-3606

Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving

2025

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 (2025). Enhanced prediction accuracy in high-speed grinding of brittle materials using advanced machine learning techniques. Journal of Intelligent Manufacturing, 36 (8), 5415-5459. doi: 10.1007/s10845-024-02532-x

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

2025

Conference Publication

Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents

Zhang, Zhizhen, Zhu, Lei, Fang, Zhen, Huang, Zi and Luo, Yadan (2025). Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents. Neural information processing systems foundation.

Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents

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 Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, BC, Canada, 9-15 Decmeber 2024. San Mateo, CA, United States: Morgan Kaufmann Publishers. doi: 10.52202/079017-1608

Exploiting descriptive completeness prior for cross modal hashing with incomplete labels

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: Institute of Electrical and Electronics Engineers. 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 Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, BC, Canada, 10-15 December 2024. San Mateo, CA, United States: Morgan Kaufmann Publishers. doi: 10.52202/079017-0781

DiPEx: Dispersing Prompt Expansion for class-agnostic object detection