[1]R.Shi, T.Li, Y.Yamaguchi,L.Zhang.Understanding decision-making of autonomous driving via semantic attribution. IEEE Transactions on Intelligent Transportation Systems, 2024, DOI: 10.1109/TITS.2024.3483810.

[2] R.Shi, T.Li, L.Zhang, Y.Yamaguchi.Visualization comparison of vision transformers and convolutional neural networks.IEEE Transactions on Multimedia, 2024, 26: 2327-2339.

[3]R.Shi, T.Li, Y.Yamaguchi,L.Zhang.Exploring decision shifts in autonomous driving with attribution-guided visualization. IEEE Transactions on Intelligent Transportation Systems, 2024, DOI: 10.1109/TITS.2024.3513400.

[4]T.Li, R.Shi, Z.Li, T.Kanai, Q.Zhu. Efficient deformation learning of varied garments with a structure-preserving multilevel framework.ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2024, Article No. 8.

[5] T.Li, R.Shi, Q.Zhu, T.Kanai. SwinGar: Spectrum-inspired neural dynamic deformation for free-swinging garments.IEEE Transactions on Visualization and Computer Graphics, 2024, 26: 2327-2339.