[1] Lian, J., Zhang, W., Wang, C., Zhang, Y., Wang, L., Nan, P., & Li, X. (2025). Quantifying Tumor Budding: Implications for Prognosis in Gastric Adenocarcinoma. The American Journal of Surgical Pathology, [doi:10.1097].

[2] Zhang, W., Lian, J., & Dong, B. (2024). Multi-Scale Position-Aware Cell Nucleus Mask Attention for Tumor Budding Detection. In 2024 IEEE International Conference on Multimedia and Expo (ICME) (pp. 1–6). IEEE.

[3] Zhang, W., Zheng, W., Li, Q., & Wang, F.-Y. (2024). Parallel vision ⊇ image synthesis/augmentation. IEEE/CAA Journal of Automatica Sinica, 11(3), 782–784.

[4] Zhang, W., Pei, Z., & Wang, F.-Y. (2023). FeatsFlow: Traceable representation learning based on normalizing flows. Engineering Applications of Artificial Intelligence, 126, 107151.

[5] Pei, Z., Zhang, J., Zhang, W., Wang, M., Wang, J., & Yang, Y.-H. (2023). Autofocusing for synthetic aperture imaging based on pedestrian trajectory prediction. IEEE Transactions on Circuits and Systems for Video Technology, 34(5), 3551–3562.

[6] Zhang, W., Wang, J., Wang, Y., & Wang, F.-Y. (2022). ParaUDA: Invariant feature learning with auxiliary synthetic samples for unsupervised domain adaptation. IEEE Transactions on Intelligent Transportation Systems, 23(11), 20217–20229.

[7] Zhang, W., Wang, K., Wang, Y., Yan, L., & Wang, F.-Y. (2021). A loss-balanced multi-task model for simultaneous detection and segmentation. Neurocomputing, 428, 65–78.

[8] Zhang, W., Wang, K., Liu, Y., Lu, Y., & Wang, F.-Y. (2020). A parallel vision approach to scene-specific pedestrian detection. Neurocomputing, 394, 114–126.