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Fanhua Shang

Identifiers

  • name variant Fanhua Shang 0.60 · backfill

Papers (22)

  1. FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning cs.LG · 2026 · author #2
  2. FedNSAM:Consistency of Local and Global Flatness for Federated Learning cs.LG · 2026 · author #2
  3. FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models cs.LG · 2025 · author #2
  4. FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging cs.LG · 2025 · author #3
  5. signADAM: Learning Confidences for Deep Neural Networks cs.CV · 2019 · author #4
  6. CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation eess.IV · 2019 · author #3
  7. Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1 cs.CV · 2019 · author #2
  8. Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications cs.LG · 2018 · author #1
  9. ASVRG: Accelerated Proximal SVRG cs.LG · 2018 · author #1
  10. A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates cs.LG · 2018 · author #2
  11. Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization cs.LG · 2018 · author #1
  12. VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning cs.LG · 2018 · author #1
  13. Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization stat.ML · 2018 · author #1
  14. Accelerated Variance Reduced Stochastic ADMM cs.LG · 2017 · author #2
  15. Larger is Better: The Effect of Learning Rates Enjoyed by Stochastic Optimization with Progressive Variance Reduction cs.LG · 2017 · author #1
  16. Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning cs.LG · 2017 · author #1
  17. Guaranteed Sufficient Decrease for Variance Reduced Stochastic Gradient Descent cs.LG · 2017 · author #1
  18. Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization cs.NA · 2016 · author #1
  19. Unified Scalable Equivalent Formulations for Schatten Quasi-Norms cs.IT · 2016 · author #1
  20. Regularized Orthogonal Tensor Decompositions for Multi-Relational Learning cs.LG · 2015 · author #1
  21. Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations cs.LG · 2014 · author #1
  22. Generalized Higher-Order Tensor Decomposition via Parallel ADMM cs.NA · 2014 · author #1

Mentions

  • 1606.01245 #1 · arxiv_oai · confidence 0.70 Fanhua Shang
  • 1407.1399 #1 · arxiv_oai · confidence 0.70 Fanhua Shang
  • 1409.1062 #1 · backfill · confidence 0.70 Fanhua Shang
  • 1407.1399 #1 · backfill · confidence 0.70 Fanhua Shang

Frequent Coauthors