Yuanyuan Liu

Identifiers

• name variant Yuanyuan Liu 0.60 · backfill

Papers (26)

1. ReactBench: A Benchmark for Topological Reasoning in MLLMs on Chemical Reaction Diagrams cs.AI · 2026 · author #6
2. A deep learning framework for jointly solving transient Fokker-Planck equations with arbitrary parameters and initial distributions physics.comp-ph · 2026 · author #5
3. FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning cs.LG · 2026 · author #3
4. FedNSAM:Consistency of Local and Global Flatness for Federated Learning cs.LG · 2026 · author #5
5. FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models cs.LG · 2025 · author #5
6. FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging cs.LG · 2025 · author #2
7. Pose-adaptive Hierarchical Attention Network for Facial Expression Recognition cs.CV · 2019 · author #1
8. T1rho Fractional-order Relaxation of Human Articular Cartilage physics.med-ph · 2019 · author #4
9. Parallel-tempered Stochastic Gradient Hamiltonian Monte Carlo for Approximate Multimodal Posterior Sampling stat.ML · 2018 · author #3
10. Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series cs.LG · 2018 · author #4
11. Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications cs.LG · 2018 · author #3
12. Exact tail asymptotics for fluid models driven by an $M/M/c$ queue math.PR · 2018 · author #2
13. Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization cs.LG · 2018 · author #2
14. Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization stat.ML · 2018 · author #2
15. Center and isochronous center of a class of quasi-analytic switching systems math.DS · 2017 · author #4
16. Accelerated Variance Reduced Stochastic ADMM cs.LG · 2017 · author #1
17. Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models stat.ML · 2017 · author #3
18. Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning cs.LG · 2017 · author #2
19. Guaranteed Sufficient Decrease for Variance Reduced Stochastic Gradient Descent cs.LG · 2017 · author #2
20. Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization cs.NA · 2016 · author #2
21. Unified Scalable Equivalent Formulations for Schatten Quasi-Norms cs.IT · 2016 · author #2
22. Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations cs.LG · 2014 · author #2
23. Generalized Higher-Order Tensor Decomposition via Parallel ADMM cs.NA · 2014 · author #2
24. Poisson's equation for discrete-time quasi-birth-and-death processes math.PR · 2013 · author #3
25. Perturbation bounds for the stationary distributions of Markov chains math.PR · 2012 · author #1
26. Asymptotic behavior of the loss probability for an M/G/1/N queue with vacations math.PR · 2012 · author #1

Mentions

• 1409.1062 #2 · backfill · confidence 0.70 Yuanyuan Liu
• 1407.1399 #2 · backfill · confidence 0.70 Yuanyuan Liu
• 1308.2444 #3 · backfill · confidence 0.70 Yuanyuan Liu
• 1208.4974 #1 · backfill · confidence 0.70 Yuanyuan Liu
• 1204.6571 #1 · backfill · confidence 0.70 Yuanyuan Liu

Frequent Coauthors

• Fanhua Shang 14 shared papers
• James Cheng 10 shared papers
• Hongying Liu 4 shared papers
• Junkang Liu 3 shared papers
• Rui Luo 3 shared papers
• Jin Liu 2 shared papers
• Qiang Zhang 2 shared papers
• Yaodong Yang 2 shared papers
• Yuichi Yoshida 2 shared papers
• Yuxuan Tian 2 shared papers
• Zhouchen Lin 2 shared papers
• Bin Feng 1 shared papers
• Caiyun Shi 1 shared papers
• Chengli Tan 1 shared papers
• Dong Liang 1 shared papers
• Feng Li 1 shared papers
• Guy Latouche 1 shared papers
• HaiFeng Wang 1 shared papers
• Hairong Zheng 1 shared papers
• Hanghang Tong 1 shared papers