Weihao XUAN (宣 偉豪)

Preprints

1. Xuan, W., Yang, R., Qi, H., Zeng, Q., Xiao, Y., Xing, Y., Wang, J., Li, H., Li, X., Yu, K., Liu, N., Chen, Q., Teodoro, D., Marrese-Taylor, E., Lu, S., Iwasawa, Y., Matsuo, Y., & Li, I. (2025). MMLU-ProX: A multilingual benchmark for advanced large language model evaluation. arXiv preprint arXiv:2503.10497.

   Paper Dataset Project
2. Chen, H., Song, J., Dietrich, O., Broni-Bediako, C., Xuan, W., Wang, J., Shao, X., Wei, Y., Xia, J., Lan, C., Schindler, K., & Yokoya, N. (2025). BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response. arXiv preprint arXiv:2501.06019.

   Paper
3. Ning, C., Gan, W., Xuan, W., & Yokoya, N. (2025). Is pre-training applicable to the decoder for dense prediction? arXiv preprint arXiv:2503.07637.

   Paper
4. Xiao, A., Xuan, W., Wang, J., Huang, J., Tao, D., Lu, S., & Yokoya, N. (2024). Foundation models for remote sensing and Earth Observation: A survey. arXiv preprint arXiv:2410.16602.

   Paper
5. Xiao, A.*, Xuan, W.*, Qi, H., Xing, Y., Yokoya, N., & Lu, S. (2024). Segment anything with multiple modalities. arXiv preprint arXiv:2408.09085. * indicates co-first authors

   Paper Code

Conference Papers

1. Song, J., Chen, H., Xuan, W., Xia, J., & Yokoya, N. (2024). SynRS3D: A synthetic dataset for global 3D semantic understanding from monocular remote sensing imagery. In The Thirty-eight Conference on Neural Information Processing Systems (NeurIPS 2024). Spotlight Paper [Top 3.1%]

   Paper Code
2. Xiao, A.*, Xuan, W.*, Qi, H., Xing, Y., Ren, R., Zhang, X., Shao, L. & Lu, S. (2024). Cat-sam: Conditional tuning for few-shot adaptation of segment anything model. In European Conference on Computer Vision (ECCV 2024) (pp. 189-206). * indicates co-first authors Oral Paper [Top 2.3%, 200/8585]

   Paper Code
3. Xiao, A., Huang, J., Xuan, W., Ren, R., Liu, K., Guan, D., El Saddik, A., Lu, S., & Xing, E. P. (2023). 3D semantic segmentation in the wild: Learning generalized models for adverse-condition point clouds. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023) (pp. 9382-9392).

   Paper Code
4. Xuan, W., Ren, R., Wu, S., & Chen, C. (2022). Maskvo: Self-supervised visual odometry with a learnable dynamic mask. In 2022 IEEE/SICE International Symposium on System Integration (SII) (pp. 225-231). IEEE.

   Paper
5. Lin, Y., Xuan, W., Ren, R., & Liu, J. (2021). On a discrete-time network SIS model with opinion dynamics. In 2021 60th IEEE Conference on Decision and Control (CDC) (pp. 2098-2103). IEEE.

   Paper
6. Xuan, W., Ren, R., Paré, P. E., Ye, M., Ruf, S., & Liu, J. (2020). On a network SIS model with opinion dynamics. IFAC-PapersOnLine, 53(2), 2582-2587.

   Paper