Xu, Yangyang

20 publications

TMLR 2025 Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization Wei Liu, Anweshit Panda, Ujwal Pandey, Christopher Brissette, Yikang Shen, George Slota, Naigang Wang, Jie Chen, Yangyang Xu

ICCV 2025 Cross-Subject Mind Decoding from Inaccurate Representations Yangyang Xu, Bangzhen Liu, Wenqi Shao, Yong Du, Shengfeng He, Tingting Zhu

TMLR 2025 Let Your Light Shine: Foreground Portrait Matting via Deep Flash Priors Tianyi Xiang, Yangyang Xu, Qingxuan Hu, Chenyi Zi, Nanxuan Zhao, Junle Wang, Shengfeng He

AAAI 2025 Occlusion-Insensitive Talking Head Video Generation via Facelet Compensation Yuhui Deng, Yuqin Lu, Yangyang Xu, Yongwei Nie, Shengfeng He

ICCV 2025 OmniVTON: Training-Free Universal Virtual Try-on Zhaotong Yang, Yuhui Li, Shengfeng He, Xinzhe Li, Yangyang Xu, Junyu Dong, Yong Du

AAAI 2025 PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium Xinzhe Li, Jiahui Zhan, Shengfeng He, Yangyang Xu, Junyu Dong, Huaidong Zhang, Yong Du

ICCV 2025 Stable Score Distillation Haiming Zhu, Yangyang Xu, Chenshu Xu, Tingrui Shen, Wenxi Liu, Yong Du, Jun Yu, Shengfeng He

TMLR 2025 Teaching Diffusion Models to Ground Alpha Matte Tianyi Xiang, Weiying Zheng, Yutao Jiang, Tingrui Shen, Hewei Yu, Yangyang Xu, Shengfeng He

AAAI 2024 Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat, Yangyang Xu

ICML 2023 Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data Yonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu

AAAI 2023 DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction Yangyang Xu, Yibo Yang, Lefei Zhang

ICCV 2023 Multi-Task Learning with Knowledge Distillation for Dense Prediction Yangyang Xu, Yibo Yang, Lefei Zhang

AAAI 2023 Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization Gabriel Mancino-Ball, Shengnan Miao, Yangyang Xu, Jie Chen

ICCV 2023 RIGID: Recurrent GAN Inversion and Editing of Real Face Videos Yangyang Xu, Shengfeng He, Kwan-Yee K. Wong, Ping Luo

AAAI 2023 When Neural Networks Fail to Generalize? a Model Sensitivity Perspective Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan

CVPR 2022 High-Resolution Face Swapping via Latent Semantics Disentanglement Yangyang Xu, Bailin Deng, Junle Wang, Yanqing Jing, Jia Pan, Shengfeng He

AAAI 2022 Zeroth-Order Optimization for Composite Problems with Functional Constraints Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu

AISTATS 2021 Rate-Improved Inexact Augmented Lagrangian Method for Constrained Nonconvex Optimization Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu

ICCV 2021 From Continuity to Editability: Inverting GANs with Consecutive Images Yangyang Xu, Yong Du, Wenpeng Xiao, Xuemiao Xu, Shengfeng He

NeurIPS 2018 A Block Coordinate Ascent Algorithm for Mean-Variance Optimization Tengyang Xie, Bo Liu, Yangyang Xu, Mohammad Ghavamzadeh, Yinlam Chow, Daoming Lyu, Daesub Yoon