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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 |
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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 Journal Article TextAdapter: self-supervised domain adaptation for cross-domain text recognitionLiu, 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 |
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2024 Journal Article Effective and robust adversarial training against data and label corruptionsZhang, 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 |
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2024 Conference Publication Abstract and explore: a novel behavioral metric with cyclic dynamics in reinforcement learningZhu, 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 |
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2024 Journal Article AI empowered Auslan learning for parents of deaf children and children of deaf adultsSheng, 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 |
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2024 Journal Article Filter-based stance network for rumor verificationLi, Jun, Bin, Yi, Ma, Yunshan, Yang, Yang, Huang, Zi and Chua, Tat-Seng (2024). Filter-based stance network for rumor verification. ACM Transactions on Information Systems, 42 (4) ART108. doi: 10.1145/3649462 |
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2024 Conference Publication Event-content-oriented dialogue generation in short videoCheng, Fenghua, Li, Xue, Huang, Zi, Wang, Jinxiang and Wang, Sen (2024). Event-content-oriented dialogue generation in short video. 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Mexico City, Mexico, 16-21 June 2024. Kerrville, TX, United States: Association for Computational Linguistics (ACL). doi: 10.18653/v1/2024.naacl-long.229 |
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2024 Journal Article BAVS: Bootstrapping Audio-Visual Segmentation by Integrating Foundation KnowledgeLiu, 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 |
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2024 Journal Article Self-supervised learning for recommender systems: a surveyYu, Junliang, Yin, Hongzhi, Xia, Xin, Chen, Tong, Li, Jundong and Huang, Zi (2024). Self-supervised learning for recommender systems: a survey. IEEE Transactions on Knowledge and Data Engineering, 36 (1), 335-355. doi: 10.1109/tkde.2023.3282907 |
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2024 Conference Publication CaseGNN: graph neural networks for legal case retrieval with text-attributed graphsTang, Yanran, Qiu, Ruihong, Liu, Yilun, Li, Xue and Huang, Zi (2024). CaseGNN: graph neural networks for legal case retrieval with text-attributed graphs. 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, United Kingdom, 24 - 28 March 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-56060-6_6 |
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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 Journal Article Calligraphy Font generation via explicitly modeling location-aware glyph component deformationsZhao, Minda, Qi, Xingqun, Hu, Zhipeng, Li, Lincheng, Zhang, Yongqiang, Huang, Zi and Yu, Xin (2023). Calligraphy Font generation via explicitly modeling location-aware glyph component deformations. IEEE Transactions on Multimedia, 26, 5939-5950. doi: 10.1109/tmm.2023.3342690 |
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2023 Conference Publication Multi-head Siamese prototype learning against both data and label corruptionZhang, Peng-Fei and Huang, Zi Helen (2023). Multi-head Siamese prototype learning against both data and label corruption. MMAsia '23: 5th ACM International Conference on Multimedia in Asia, Tainan, Taiwan, 6-8 December 2023. New York, NY, United States: ACM. doi: 10.1145/3595916.3626435 |
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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 CaT: balanced continual graph learning with graph condensationLiu, Yilun, Qiu, Ruihong and Huang, Zi (2023). CaT: balanced continual graph learning with graph condensation. 23rd IEEE International Conference on Data Mining (IEEE ICDM), Shanghai, China, 1-4 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm58522.2023.00141 |
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2023 Conference Publication Toward a unified framework for RGB and RGB-D visual navigationDu, Heming, Huang, Zi, Chapman, Scott and Yu, Xin (2023). Toward a unified framework for RGB and RGB-D visual navigation. 36th Australasian Joint Conference on Artificial Intelligence, AJCAI 2023, Brisbane, QLD Australia, 28 November –1 December 2023. Singapore: Springer. doi: 10.1007/978-981-99-8391-9_29 |
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2023 Journal Article Semantic enhanced video captioning with multi-feature fusionNiu, Tian-Zi, Dong, Shan-Shan, Chen, Zhen-Duo, Luo, Xin, Guo, Shanqing, Huang, Zi and Xu, Xin-Shun (2023). Semantic enhanced video captioning with multi-feature fusion. ACM Transactions on Multimedia Computing, Communications, and Applications, 19 (6) 182, 1-21. doi: 10.1145/3588572 |
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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 Zero-shot learning by harnessing adversarial samplesChen, Zhi, Zhang, Pengfei, Li, Jingjing, Wang, Sen and Huang, Zi (2023). Zero-shot learning by harnessing adversarial samples. 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: 10.1145/3581783.3611823 |
