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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

Conference Publication

Navigating adversarial robustness in multimodal systems

Huang, Zi Helen (2024). Navigating adversarial robustness in multimodal systems. 2nd International Workshop on Methodologies for Multimedia, Melbourne, VIC, Australia, 28 October-1 November 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3689089.3689708

Navigating adversarial robustness in multimodal systems

2024

Conference Publication

Navigating beyond instructions: vision-and-language navigation in obstructed environments

Hong, Haodong, Wang, Sen, Huang, Zi, Wu, Qi and Liu, Jiajun (2024). Navigating beyond instructions: vision-and-language navigation in obstructed environments. 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: 10.1145/3664647.3681640

Navigating beyond instructions: vision-and-language navigation in obstructed environments

2024

Conference Publication

Generative AI in multimedia: challenges and opportunities for academic and industrial impact

Huang, Zi Helen, Chen, Phoebe and Yan, Shuicheng (2024). Generative AI in multimedia: challenges and opportunities for academic and industrial impact. 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: 10.1145/3664647.3687170

Generative AI in multimedia: challenges and opportunities for academic and industrial impact

2024

Conference Publication

Benchmarking in-the-wild multimodal disease recognition and a versatile baseline

Wei, Tianqi, Chen, Zhi, Huang, Zi and Yu, Xin (2024). Benchmarking in-the-wild multimodal disease recognition and a versatile baseline. 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: 10.1145/3664647.3680599

Benchmarking in-the-wild multimodal disease recognition and a versatile baseline

2024

Conference Publication

Physics-guided active sample reweighting for urban flow prediction

Jiang, Wei, Chen, Tong, Ye, Guanhua, Zhang, Wentao, Cui, Lizhen, Huang, Zi and Yin, Hongzhi (2024). Physics-guided active sample reweighting for urban flow prediction. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID, United States, 21-25 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3627673.3679738

Physics-guided active sample reweighting for urban flow prediction

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

Journal Article

A data-driven method for estimating sewer inflow and infiltration based on temperature and conductivity monitoring

Ge, Jingyu, Li, Jiuling, Qiu, Ruihong, Shi, Tao, Zhang, Chenming, Huang, Zi and Yuan, Zhiguo (2024). A data-driven method for estimating sewer inflow and infiltration based on temperature and conductivity monitoring. Water Research, 261 122002, 1-10. doi: 10.1016/j.watres.2024.122002

A data-driven method for estimating sewer inflow and infiltration based on temperature and conductivity monitoring

2024

Journal Article

Explicit knowledge graph reasoning for conversational recommendation

Ren, Xuhui, Chen, Tong, Nguyen, Quoc Viet Hung, Cui, Lizhen, Huang, Zi and Yin, Hongzhi (2024). Explicit knowledge graph reasoning for conversational recommendation. ACM Transactions on Intelligent Systems and Technology, 15 (4) 86, 1-21. doi: 10.1145/3637216

Explicit knowledge graph reasoning for conversational recommendation

2024

Conference Publication

CaseLink: inductive graph learning for legal case retrieval

Tang, Yanran, Qiu, Ruihong, Yin, Hongzhi, Li, Xue and Huang, Zi (2024). CaseLink: inductive graph learning for legal case retrieval. 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657693

CaseLink: inductive graph learning for legal case retrieval

2024

Conference Publication

Universal adversarial perturbations for vision-language pre-trained models

Zhang, Peng-Fei, Huang, Zi and Bai, Guangdong (2024). Universal adversarial perturbations for vision-language pre-trained models. 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657781

Universal adversarial perturbations for vision-language pre-trained models

2024

Journal Article

Editorial on the Special Issue of the World Wide Web journal with selected papers from the 22nd International Conference on Web Information Systems Engineering (WISE)

Chbeir, Richard, Huang, Helen, Manolopoulos, Yannis and Silvestri, Fabrizio (2024). Editorial on the Special Issue of the World Wide Web journal with selected papers from the 22nd International Conference on Web Information Systems Engineering (WISE). World Wide Web, 27 (4) 45. doi: 10.1007/s11280-024-01284-1

Editorial on the Special Issue of the World Wide Web journal with selected papers from the 22nd International Conference on Web Information Systems Engineering (WISE)

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 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

2024

Journal Article

BAVS: Bootstrapping audio-visual segmentation by integrating foundation knowledge

Liu, Chen, Li, Peike, Zhang, Hu, Li, Lincheng, Huang, Zi, Wang, Dadong and Yu, Xin (2024). BAVS: Bootstrapping audio-visual segmentation by integrating foundation knowledge. IEEE Transactions on Multimedia, 26, 10015-10028. doi: 10.1109/tmm.2024.3405622

BAVS: Bootstrapping audio-visual segmentation by integrating foundation knowledge

2024

Journal Article

TextAdapter: self-supervised domain adaptation for cross-domain text recognition

Liu, Xiao-Qian, Zhang, Peng-Fei, Luo, Xin, Huang, Zi and Xu, Xin-Shun (2024). TextAdapter: self-supervised domain adaptation for cross-domain text recognition. IEEE Transactions on Multimedia, 26, 9854-9865. doi: 10.1109/tmm.2024.3400669

TextAdapter: self-supervised domain adaptation for cross-domain text recognition

2024

Journal Article

Effective and robust adversarial training against data and label corruptions

Zhang, Peng-Fei, Huang, Zi, Xu, Xin-Shun and Bai, Guangdong (2024). Effective and robust adversarial training against data and label corruptions. IEEE Transactions on Multimedia, 26, 9477-9488. doi: 10.1109/tmm.2024.3394677

Effective and robust adversarial training against data and label corruptions

2024

Conference Publication

Abstract and explore: a novel behavioral metric with cyclic dynamics in reinforcement learning

Zhu, Anjie, Zhang, Peng-Fei, Qiu, Ruihong, Zheng, Zetao, Huang, Zi and Shao, Jie (2024). Abstract and explore: a novel behavioral metric with cyclic dynamics in reinforcement learning. 38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence, Vancouver, Canada, 20-27 February 2024. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v38i15.29660

Abstract and explore: a novel behavioral metric with cyclic dynamics in reinforcement learning

2024

Journal Article

AI empowered Auslan learning for parents of deaf children and children of deaf adults

Sheng, Hongwei, Shen, Xin, Du, Heming, Zhang, Hu, Huang, Zi and Yu, Xin (2024). AI empowered Auslan learning for parents of deaf children and children of deaf adults. AI and Ethics, 4 (4), 1-11. doi: 10.1007/s43681-024-00457-y

AI empowered Auslan learning for parents of deaf children and children of deaf adults