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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 Conference Publication Navigating Adversarial Robustness in Multimodal SystemsHuang, Zi Helen (2024). Navigating Adversarial Robustness in Multimodal Systems. 2nd International Workshop on Methodologies for Multimedia (Meet4MM), Melbourne Australia, Oct 28-Nov 01, 2024. New York, NY, USA: ACM. doi: 10.1145/3689089.3689708 |
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2024 Conference Publication Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed EnvironmentsHong, Haodong, Wang, Sen, Huang, Zi, Wu, Qi and Liu, Jiajun (2024). Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed Environments. New York, NY, USA: ACM. doi: 10.1145/3664647.3681640 |
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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. New York, NY, USA: ACM. doi: 10.1145/3664647.3681040 |
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2024 Conference Publication Benchmarking In-the-Wild Multimodal Disease Recognition and A Versatile BaselineWei, Tianqi, Chen, Zhi, Huang, Zi and Yu, Xin (2024). Benchmarking In-the-Wild Multimodal Disease Recognition and A Versatile Baseline. New York, NY, USA: ACM. doi: 10.1145/3664647.3680599 |
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2024 Conference Publication Generative AI in Multimedia: Challenges and Opportunities for Academic and Industrial ImpactHuang, Zi Helen, Chen, Phoebe and Yan, Shuicheng (2024). Generative AI in Multimedia: Challenges and Opportunities for Academic and Industrial Impact. New York, NY, USA: ACM. doi: 10.1145/3664647.3687170 |
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2024 Conference Publication Physics-guided Active Sample Reweighting for Urban Flow PredictionJiang, 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, Oct 21-25, 2024. New York, NY, USA: ACM. doi: 10.1145/3627673.3679738 |
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2024 Conference Publication Universal adversarial perturbations for vision-language pre-trained modelsZhang, 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 |
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2024 Conference Publication CaseLink: inductive graph learning for legal case retrievalTang, 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 |
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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 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 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 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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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 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 |
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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 |
