在软件学报、电子学报、TMM、TITS、TGRS、TOMM、PR、ACM MM 等 SCI/EI 刊物上发表论文一百余篇。2021年至今以第一/通讯作者发表 CCF-A 类、ACM/IEEE 汇刊和 SCI 一区论文十余篇，其中代表性论文包括：
  • S. Wang, X. Xu, X. Ma, K. Jiang, and Z. Wang, “Informative Classes Matter: Towards Unsupervised Domain Adaptive Nighttime Semantic Segmentation.” in Proceedings of the 31th ACM International Conference on Multimedia (ACM MM), 2023.
  • Z. Wan, X. Xu, Z. Wang, Z. Wang, and R. Hu, “From multi-source virtual to real: effective virtual data search for vehicle re-identification.” IEEE Transactions on Intelligent Transportation Systems, 2023.
  • X. Yuan, X. Xu, Z. Wang, K. Zhang, W. Liu, and R. Hu, “Searching Parameterized Retrieval & Verification Loss for Re-identification.” IEEE Journal of Selected Topics in Signal Processing, 2023.
  • X. Xu, W. Liu, Z. Wang, R. Hu, and Q. Tian, “Towards generalizable person re-identification with a bi-stream generative model.” Pattern Recognition, 2022.
  • P. Xie, X. Xu, Z. Wang, and T. Yamasaki, “Sampling and re-weighting: towards diverse frame aware unsupervised video person re-identification.” IEEE Transactions on Multimedia, 2022.
  • C. Lei, X. Xu, Y. Ma, S. Jin, B. Liu, and W. Gong, “Full coverage estimation of the PM2.5 concentration across China based on an adaptive spatiotemporal approach.” IEEE Transactions on Geoscience and Remote Sensing, 2022.
  • X. Wang, Z. Wang, W. Liu, X. Xu, Q. Zhao, and Shin'ichi Satoh, “Towards causality inference for very important person localization.” in Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022.
  • Z. Wan, X. Xu, Z. Wang, T. Yamasaki, X. Zhang, and R. Hu, “Efficient virtual data search for annotation-free vehicle reidentification.” International Journal of Intelligent Systems, 2022, 37(5): 2988-3005. (封面论文)
  • X. Xu, X. Yuan, Z. Wang, K. Zhang, and R. Hu, “Rank-in-Rank Loss for Person Re-identification.” ACM Transactions on Multimedia Computing, Communications, and Applications, 2022.
  • 邓梦娇，徐新，马盈盈，龚威，金适宽，胡瑞敏. 多层感知机结合辐射传输模型的复杂陆地表面云检测. 电子学报, 2022.
  • X. Xu, L. Liu, X. Zhang, W. Guan, and R. Hu, “Rethinking data collection for person re-identification: active redundancy reduction,” Pattern Recognition, 2021, 113: 107827.
  • X. Xu, S. Wang, Z. Wang, X. Zhang, and R. Hu, “Exploring image enhancement for salient object detection in low light images.” ACM Transactions on Multimedia Computing, Communications, and Applications, 2021, 17(1s): art. no. 8.
  • Y. Zhu, Y. Ma, B. Liu, X. Xu, S. Jin, and W. Gong, “Retrieving the vertical distribution of PM2.5 mass concentration from lidar via a random forest model.” IEEE Transactions on Geoscience and Remote Sensing, 2021, accepted.
  • X. Wang, Z. Wang, W. Liu, X. Xu, J. Chen, and C.-W. Lin, “Consistency-constancy bi-knowledge learning for pedestrian detection in night surveillance.” in Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), 2021, pp. 4463-4471.
  • P. Xie, X. Xu, Z. Wang, and T. Yamasaki, “Unsupervised video person re-identification via noise and hard frame aware clustering.” IEEE International Conference on Multimedia and Expo (ICME 2021), 2021, pp. 1-6. (最佳论文奖提名, 4/1321)