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2026 Conference Publication SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate OptimizationYuan, Bowen, Fu, Yuxia, Wang, Zijian, Luo, Yadan and Huang, Zi (2026). SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization. IEEE. doi: 10.1109/wacv61042.2026.00218 |
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2026 Conference Publication Does homophily help in robust test-time node classification?Jiang, Yan, Qiu, Ruihong and Huang, Zi (2026). Does homophily help in robust test-time node classification?. WSDM '26:The Nineteenth ACM International Conference on Web Search and Data Mining, Boise, ID, United States, 22-26 February 2026. New York, NY, United States: ACM. doi: 10.1145/3773966.3777948 |
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2026 Conference Publication Dynamic Orchestration of Multi-agent System for Real-World Multi-image Agricultural VQAKe, Yan, Yu, Xin, Du, Heming, Chapman, Scott and Huang, Helen (2026). Dynamic Orchestration of Multi-agent System for Real-World Multi-image Agricultural VQA. Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-981-95-6196-4_11 |
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2026 Conference Publication ReaKase-8B: legal case retrieval via knowledge and reasoning representations with LLMsTang, Yanran, Qiu, Ruihong, Li, Xue and Huang, Zi (2026). ReaKase-8B: legal case retrieval via knowledge and reasoning representations with LLMs. 36th Australasian Database Conference, ADC 2025, Sydney, NSW, Australia and Bali, Indonesia, 4-6 December 2025. Heidelberg, Germany: Springer. doi: 10.1007/978-981-95-6196-4_22 |
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2026 Conference Publication Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest SegmentationWei, Tianqi, Yu, Xin, Chen, Zhi, Chapman, Scott and Huang, Zi (2026). Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation. Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-981-95-6196-4_3 |
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2025 Conference Publication GCondenser: benchmarking graph condensationLiu, Yilun, Qiu, Ruihong and Huang, Zi (2025). GCondenser: benchmarking graph condensation. CIKM '25: The 34th ACM International Conference on Information and Knowledge Management, Seoul, Republic of Korea, 10-14 November 2025. New York, NY, United States: ACM. doi: 10.1145/3746252.3761654 |
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2025 Conference Publication SVIP: Semantically Contextualized Visual Patches for Zero-Shot LearningChen, Zhi, Zhao, Zecheng, Guo, Jingcai, Li, Jingjing and Huang, Zi (2025). SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning. IEEE. doi: 10.1109/iccv51701.2025.00320 |
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2025 Conference Publication Is Less More? Exploring Token Condensation as Training-Free Test-Time AdaptationWang, Zixin, Gong, Dong, Wang, Sen, Huang, Zi and Luo, Yadan (2025). Is Less More? Exploring Token Condensation as Training-Free Test-Time Adaptation. IEEE. doi: 10.1109/iccv51701.2025.00021 |
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2025 Conference Publication Continual text-to-video retrieval with frame fusion and task-aware routingZhao, Zecheng, Chen, Zhi, Huang, Zi, Sadiq, Shazia and Chen, Tong (2025). Continual text-to-video retrieval with frame fusion and task-aware routing. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3729936 |
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2025 Conference Publication Exploring visual vulnerabilities via multi-loss adversarial search for jailbreaking vision-language modelsHao, Shuyang, Hooi, Bryan, Liu, Jun, Chang, Kai-Wei, Huang, Zi and Cai, Yujun (2025). Exploring visual vulnerabilities via multi-loss adversarial search for jailbreaking vision-language models. 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TX, United States, 10 - 17 June 2025. Washington, DC, United States: I E E E Computer Society. doi: 10.1109/cvpr52734.2025.01852 |
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2025 Conference Publication Graph condensation: foundations, methods and prospectsYin, Hongzhi, Gao, Xinyi, Yu, Junliang, Qiu, Ruihong, Chen, Tong, Nguyen, Quoc Viet Hung and Huang, Zi (2025). Graph condensation: foundations, methods and prospects. WWW '25: The ACM Web Conference 2025, Sydney, NSW, Australia, 28 April - 2 May 2025. New York, NY, United States: ACM. doi: 10.1145/3701716.3715862 |
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2025 Conference Publication GOLD: graph out-of-distribution detection via implicit adversarial latent generationWang, Danny, Qiu, Ruihong, Bai, Guangdong and Huang, Zi (2025). GOLD: graph out-of-distribution detection via implicit adversarial latent generation. ICLR 2025: The Thirteenth International Conference on Learning Representations, Singapore, Singapore, 24-28 April 2025. Singapore, Singapore: International Conference on Learning Representations, ICLR. |
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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 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. 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 |
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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. 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 |
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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. 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 |
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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, Melbourne, VIC, Australia, 28 October-1 November 2024. New York, United States: Association for Computing Machinery. 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. 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 |
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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, United States, 21-25 October 2024. New York, United States: Association for Computing Machinery. 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 |
