📝 Publications

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V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark. Y Xin, S Luo, X Liu, Y Du, etc. International Conference on Neural Information Processing Systems, 2024. (NeurIPS, CCF-A)
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model. M Yi, A Li, Y Xin*, Z Li. International Conference on Neural Information Processing Systems, 2024. (NeurIPS, CCF-A, Equal Contributions)
Multi-source Fully Test-Time Adaptation. Y Du, S Luo, Y Xin, M Chen, S Feng, M Zhang, C Wang. International Conference on Learning Representations, 2024. (ICLR Workshop)
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding. Y Xin, J Du, Q Wang, Z Lin, K Yan. AAAI Conference on Artificial Intelligence, 2024. (AAAI, CCF-A)
MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-Task Learning. Y Xin, J Du, Q Wang, K Yan, S Ding. AAAI Conference on Artificial Intelligence, 2024. (AAAI, CCF-A)
Self-Training with Label-Feature-Consistency for Domain Adaptation. Y Xin, S Luo, P Jin, Y Du, C Wang. International Conference on Database Systems for Advanced Applications, 2023. (DASFAA, CCF-B, $\color{red}{Oral}$)

Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation. Y Du, H Yang, M Chen, H Luo, J Jiang, Y Xin, C Wang. Machine Learning, 2023. (CCF-B)
Building Load Forecasting Using Deep Neural Network with Efficient Feature Fusion. J Wang, X Chen, F Zhang, F Chen, Y Xin. Journal of Modern Power Systems and Clean Energy, 2021. (SCI Q1)