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2021 Conference Publication Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentationLi, Yang, Chen, Tong, Luo, Yadan, Yin, Hongzhi and Huang, Zi (2021). Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal, QC Canada, 19 - 27 August 2021. Palo Alto, CA United States: A A A I Press. doi: 10.24963/ijcai.2021/206 |
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2020 Conference Publication Learning from the past: continual meta-learning with Bayesian Graph Neural NetworksLuo, Yadan, Huang, Zi, Zhang, Zheng, Wang, Ziwei, Baktashmotlagh, Mahsa and Yang, Yang (2020). Learning from the past: continual meta-learning with Bayesian Graph Neural Networks. The Thirty-Fourth AAAI Conference on Artificial Intelligence/ The Thirty-Second Conference on Innovative Applications of Artificial Intelligence/ The Tenth Symposium on Educational Advances in Artificial Intelligence, New York, United States, 7-12 February 2020. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/aaai.v34i04.5942 |
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2020 Conference Publication Progressive graph learning for open-set domain adaptationLuo, Yadan, Wang, Zijian, Huang, Zi and Baktashmotlagh, Mahsa (2020). Progressive graph learning for open-set domain adaptation. 37th International Conference on Machine Learning ICML 2020, Vienna, Austria, 12-18 July 2020 . International Machine Learning Society . |
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2026 Conference Publication Training a generalist hallucination detector across multiple domains via adaptive layer aggregationLi, Xinyi, Fang, Zhen, Luo, Yadan, Deng, Yongxin, Du, Sean, Ye, Shanshan and Chen, Ling (2026). Training a Generalist Hallucination Detector across Multiple Domains via Adaptive Layer Aggregation. New York, NY, USA: ACM. doi: 10.1145/3770855.3817792 |
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2026 Conference Publication DriftNavi: talk through your data drift with LLMsWang, Zixin, Yu, Junliang, Chen, Tong, Luo, Yadan and Sadiq, Shazia (2026). DriftNavi: talk through your data drift with LLMs. WWW '26: The ACM Web Conference 2026, Dubai, United Arab Emirates, 29 June-3July 2026. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3774905.3793123 |
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2026 Conference Publication Is less more? Exploring token condensation as training-free test-time adaptationWang, Zixin, Gong, Dong, Wang, Sen, Huang, Zi and Luo, Yadan (2026). Is less more? Exploring token condensation as training-free test-time adaptation. 2025 IEEE/CVF International Conference on Computer Vision (ICCV), Honolulu, HI United States, 19-25 October 2025. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iccv51701.2025.00021 |
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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. 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, AZ, United States, 6-10 March 2026. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/wacv61042.2026.00218 |
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2026 Conference Publication Parameter-efficient wheat disease segmentationWang, Shijie, Wang, Zijian, Luo, Yadan, Zhang, Pengfei and Yu, Xin (2026). Parameter-efficient wheat disease segmentation. Databases Theory and Applications: 36th Australasian Database Conference, Sydney, NSW, Australia, December 4–7, 2025. Heidelberg, Germany: Springer. doi: 10.1007/978-981-95-6196-4_1 |
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2026 Conference Publication LASER: A corrective lens for LVLMs via visual attention preservation and sink suppressionYuan, Bowen, Wang, Zijian, Luo, Yadan, Wang, Shijie and Huang, Zi (2026). LASER: A Corrective Lens for LVLMs via Visual Attention Preservation and Sink Suppression. Lecture Notes in Computer Science. (pp. 355-372) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-37211-6_20 |
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2025 Conference Publication Are synthetic videos useful? A benchmark for retrieval-centric evaluation of synthetic videosZhao, 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 |
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2025 Conference Publication WisWheat: a three-tiered vision-language dataset for wheat managementYuan, 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 |
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2025 Conference Publication Don’t shake the wheel: momentum-aware planning in end-to-end autonomous drivingSong, 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 |
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2025 Conference Publication Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied AgentsZhang, 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. |
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2025 Conference Publication Polaformer: polarity-aware linear attention for vision transformersMeng, 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. |
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2025 Conference Publication Latent Refinement via Flow Matching for Training-free Linear Inverse Problem SolvingAskari, 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 |
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2025 Conference Publication MOS: Model synergy for test-time adaptation on lidar-based 3D object detectionChen, 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. |
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2025 Conference Publication CodeMerge: Codebook-guided model merging for robust test-time adaptation in autonomous drivingYang, 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 |
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2024 Conference Publication Exploiting descriptive completeness prior for cross modal hashing with incomplete labelsLuo, 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 |
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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 |
