T Hu, M Chen, J Lan, X Zhu, K Zhang, M Cheng, B Zheng*, Y Wang*, “ORION: Decoupling and Alignment for Unified Autoregressive Understanding and Generation”, International Conference on Learning Representations (ICLR 2026).
T Liu, D Zhang, G Li, S Liu, Y Song, S Li, S Yang, B Li, K Wang, Y Wang*, “From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging”, Advances in Neural Information Processing Systems ( NeurIPS 2025).
S Li, L Wang, K Wang, T Liu, J Xie, J van de Weijer, FS Khan, S Yang, Y Wang*, J Yang, “One-way Ticket: Time-independent Unified Encoder for Distilling Text-to-Image Diffusion Models”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2025).
T Hu, L Li, K Wang*, Y Wang*, J Yang, M Cheng,“Anchor Token Matching: Implicit Structure Locking for Training-free AR Image Editing”,IEEE International Conference on Computer Vision (ICCV 2025).
T Hu, L Li, J van de Weijer, H Gao, FS Khan, J Yang, M Cheng, K Wang*, Y Wang*, “Token Merging for Training-free Semantic Binding in Text-to-Image Synthesis”,Advances in Neural Information Processing Systems (NeurIPS 2024).
S Li, J van de Weijer, FS Khan, T Liu, L Li, S Yang, Y Wang*, M Cheng, “Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference”, Advances in Neural Information Processing Systems (NeurIPS 2024).
S Li, J van de Weijer, T Hu, FS Khan, Q Hou, Y Wang*, J Yang, “Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models”, International Conference on Learning Representations (ICLR 2024).
Y Wang, A Gonzalez-Garcia, C Wu, L Herranz, FS Khan, S Jui, J Yang, “MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains”, International Journal of Computer Vision (IJCV), 2024.
S Li, J van de Weijer, T Hu, FS Khan, Q Hou, Y Wang*, J Yang, “StyleDiffusion: Prompt-Embedding Inversion for Text-based Editing”, Computational Visual Media Journal (CVMJ), 2023.
S Li, J van de Weijer, Y Wang*, FS Khan, M Liu, J Yang, “3D-aware Multi-class Image-to-Image Translation with NeRFs”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2023).
S Yang, Y Wang*, K Wang, S Jui, J van de Weijer, “Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation”, Advances in Neural Information Processing Systems (NeurIPS 2022).
Y Wang, L Yu*, S Jui, “Distilling GANs with Style-mixed Triplets for X2I Translation with Limited Data”, International Conference on Learning Representations (ICLR 2022).
Y Wang, HL Mantecon, JWL Lopez-Fuentes, B Raducanu, “TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets”, IEEE International Conference on Computer Vision (ICCV 2021).
Y Wang, A Gonzalez-Garcia, L Herranz, J van de Weijer, “Controlling Biases and Diversity in Diverse Image-to-Image Translation”, Computer Vision and Image Understanding (CVIU), 2021.
Y Wang, L Herranz, J van de Weijer, “Mix and Match Networks: Cross-modal Alignment for Zero-pair Image-to-Image Translation”, International Journal of Computer Vision (IJCV), 2020.
Y Wang, A Gonzalez-Garcia, D Berga, L Herranz, FS Khan, J van de Weijer, “MineGAN: Effective Knowledge Transfer from GANs to Target Domains with Few Images”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020).
Y Wang, C Wu, L Herranz, J van de Weijer, A Gonzalez-Garcia, “Transferring GANs: Generating Images from Limited Data”, European Conference on Computer Vision (ECCV 2018).
