Xiaoguang Liu

1. Multi-scale Attention Network for Single Image Super-Resolution
   2022/09/28 by Yan Wang, Yusen Li, Wang, Yan +5 · 10 citations
   Computer Science · Engineering · #Advanced Image Fusion Techniques #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image Processing Techniques and Applications #Image and Video Processing (eess.IV) #electronic engineering #information engineering
2. FedGH: Heterogeneous Federated Learning with Generalized Global Header
   2023/03/23 by Liping Yi, Yi, Liping, Gang Wang +7 · 7 citations
   Computer Science · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques #and Cluster Computing (cs.DC)
3. Federated Model Heterogeneous Matryoshka Representation Learning
   2024/06/01 by Liping Yi, Han Yu, Yi, Liping +9 · 6 citations
   Computer Science · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Parallel #and Cluster Computing (cs.DC)
4. pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning
   2024/02/02 by Liping Yi, Yu Han, Yi, Liping +11 · 4 citations
   Computer Science · #Recommender Systems and Techniques
5. Class I histone deacetylases are major histone decrotonylases: evidence for critical and broad function of histone crotonylation in transcription
   2017/05/12 by Wei Wei, Xiaoguang Liu, Jiwei Chen +10 · 1 citation
6. On the Depth of Deep Neural Networks: A Theoretical View
   2015/06/17 by Shizhao Sun, Sun, Shizhao, Wei Chen +7 · 1 citation
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG) #Machine Learning and Data Classification
7. pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing
   2023/11/12 by Liping Yi, Yi, Liping, Han Yu +5 · 2 citations
   Computer Science · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
8. FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
   2023/12/14 by Liping Yi, Yi, Liping, Han Yu +9 · 2 citations
   Computer Science · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
9. VDTuner: Automated Performance Tuning for Vector Data Management Systems
   2024/04/16 by Tiannuo Yang, Wen Hu, Yang, Tiannuo +11 · 1 citation
   Computer Science · Decision Sciences · #Advanced Database Systems and Queries #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Performance (cs.PF) #Simulation Techniques and Applications
10. PlainUSR: Chasing Faster ConvNet for Efficient Super-Resolution
    2024/09/20 by Yan Wang, Wang, Yan, Yusen Li +5 · 1 citation
    Computer Science · Earth and Planetary Sciences · Engineering · #Advanced Image Processing Techniques #FOS: Electrical engineering #Image Processing Techniques and Applications #Image and Video Processing (eess.IV) #Seismic Imaging and Inversion Techniques #electronic engineering #information engineering
11. PMKLC: Parallel Multi-Knowledge Learning-based Lossless Compression for Large-Scale Genomics Database
    2025/07/17 by Hui Sun, Sun, Hui, Ding, Yanfeng +12 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Algorithms and Data Compression #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Databases (cs.DB) #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning (cs.LG)