Liu, Xiaoguang

9 publications

ICCV 2025 Federated Representation Angle Learning Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

AAAI 2025 Genomics Data Lossless Compression with (s, K)-Mer Encoding and Deep Neural Networks Hui Sun, Liping Yi, Huidong Ma, Yongxia Sun, Yingfeng Zheng, Wenwen Cui, Meng Yan, Gang Wang, Xiaoguang Liu

AAAI 2025 pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

IJCAI 2024 FedSSA: Semantic Similarity-Based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li

NeurIPS 2024 Federated Model Heterogeneous Matryoshka Representation Learning Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

CVPRW 2024 Multi-Scale Attention Network for Single Image Super-Resolution Yan Wang, Yusen Li, Gang Wang, Xiaoguang Liu

ICLR 2023 Out-of-Distribution Detection Based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang

ECML-PKDD 2017 Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu

AAAI 2016 On the Depth of Deep Neural Networks: A Theoretical View Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu