Guo, Xingzhuo

7 publications

ICLR 2025 Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models Xingzhuo Guo, Yu Zhang, Baixu Chen, Haoran Xu, Jianmin Wang, Mingsheng Long

ICML 2024 CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding Kaiyuan Chen, Xingzhuo Guo, Yu Zhang, Jianmin Wang, Mingsheng Long

AAAI 2024 Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang

NeurIPS 2024 Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting Jincheng Zhong, Xingzhuo Guo, Jiaxiang Dong, Mingsheng Long

ICML 2024 On the Embedding Collapse When Scaling up Recommendation Models Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long

ICML 2023 CLIPood: Generalizing CLIP to Out-of-Distributions Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long

ICML 2023 Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms Xingzhuo Guo, Yuchen Zhang, Jianmin Wang, Mingsheng Long