A Supply Chain-Logistics Super-Network Equilibrium Model for Urban Logistics Facility Network Optimization von Jiang, Qiwei, Yang, Peng, Shi, Feng, Su, Yongyi

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Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning von Su, Yongyi, Xu, Xun, Jia, Kui

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Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training von Su, Yongyi, Xu, Xun, Li, Tianrui, Jia, Kui

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An Intra-Hour photovoltaic power generation prediction method for flexible building energy systems and its application in operation scheduling strategy von Su, Yongyi, Zhang, Weirong, Deng, Gaofeng, Wang, Zhichao

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Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization von Su, Yongyi, Xu, Xun, Jia, Kui

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Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection von Li, Yushu, Su, Yongyi, Yang, Xulei, Jia, Kui, Xu, Xun

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Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering von Su, Yongyi, Xu, Xun, Jia, Kui

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Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning von Su, Yongyi, Xu, Xun, Jia, Kui

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Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation von Zhang, Haojie, Su, Yongyi, Xu, Xun, Jia, Kui

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On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion von Li, Yushu, Xu, Xun, Su, Yongyi, Jia, Kui

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Fast Unbalanced Three-phase Adjustment Base on Single-phase Load Switching von Zheng, Yanwei, Zou, Lisheng, He, Jian, Su, Yongyi, Feng, Zhiquan

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STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization von Chen, Yijin, Xu, Xun, Su, Yongyi, Jia, Kui

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Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training von Su, Yongyi, Xu, Xun, Li, Tianrui, Jia, Kui

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On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning von Su, Yongyi, Li, Yushu, Liu, Nanqing, Jia, Kui, Yang, Xulei, Foo, Chuan-Sheng, Xu, Xun

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PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images von Liu, Nanqing, Xu, Xun, Su, Yongyi, Zhang, Haojie, Li, Heng-Chao

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CLIP-Guided Source-Free Object Detection in Aerial Images von Liu, Nanqing, Xu, Xun, Su, Yongyi, Liu, Chengxin, Gong, Peiliang, Li, Heng-Chao

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Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization von Su, Yongyi, Xu, Xun, Jia, Kui

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Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection von Li, Yushu, Su, Yongyi, Yang, Xulei, Jia, Kui, Xu, Xun

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Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering von Su, Yongyi, Xu, Xun, Jia, Kui

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Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation von Zhang, Haojie, Su, Yongyi, Xu, Xun, Jia, Kui

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