Wang, Yuwang

11 publications

ICML 2024 Breaking Through the Learning Plateaus of In-Context Learning in Transformer Jingwen Fu, Tao Yang, Yuwang Wang, Yan Lu, Nanning Zheng

CVPR 2024 Incremental Residual Concept Bottleneck Models Chenming Shang, Shiji Zhou, Hengyuan Zhang, Xinzhe Ni, Yujiu Yang, Yuwang Wang

NeurIPS 2023 DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models Tao Yang, Yuwang Wang, Yan Lu, Nanning Zheng

ICCV 2023 Template-Guided Hierarchical Feature Restoration for Anomaly Detection Hewei Guo, Liping Ren, Jingjing Fu, Yuwang Wang, Zhizheng Zhang, Cuiling Lan, Haoqian Wang, Xinwen Hou

CVPR 2023 Unifying Layout Generation with a Decoupled Diffusion Model Mude Hui, Zhizheng Zhang, Xiaoyi Zhang, Wenxuan Xie, Yuwang Wang, Yan Lu

ICLR 2022 Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View Xuanchi Ren, Tao Yang, Yuwang Wang, Wenjun Zeng

ICLR 2022 Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph Dacheng Yin, Xuanchi Ren, Chong Luo, Yuwang Wang, Zhiwei Xiong, Wenjun Zeng

ICLR 2022 Towards Building a Group-Based Unsupervised Representation Disentanglement Framework Tao Yang, Xuanchi Ren, Yuwang Wang, Wenjun Zeng, Nanning Zheng

NeurIPS 2022 Visual Concepts Tokenization Tao Yang, Yuwang Wang, Yan Lu, Nanning Zheng

ICCVW 2021 Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement Xuanchi Ren, Tao Yang, Yuwang Wang, Wenjun Zeng

CVPR 2021 S2R-DepthNet: Learning a Generalizable Depth-Specific Structural Representation Xiaotian Chen, Yuwang Wang, Xuejin Chen, Wenjun Zeng