Fanhua Shang
32 papers · 2014–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Renaissance Researcher (5) π Interdisciplinary Bridge π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π¬
Deep Specialist
(14)
π€
Dynamic Duo
(17)
π
Keyword Champion
(4)
ποΈ
Keyword Collector
(155)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Century Club
(31)
π₯
Unstoppable
(10)
π
Trend Setter
Conferences
AAAI (9)
NIPS (7)
AISTATS (3)
ICCV (3)
ICML (3)
CVPR (2)
IJCAI (2)
ACML (1)
ECCV (1)
UAI (1)
Top co-authors
Keywords
stochastic optimization
(5)
convex optimization
(4)
oracle complexity
(4)
stochastic variance reduced gradient
(3)
continual learning
(3)
catastrophic forgetting
(3)
variance reduction
(3)
federated learning
(3)
momentum acceleration
(3)
residual network
(2)
linear convergence
(2)
multi-objective optimization
(2)
strongly convex
(2)
convergence rate
(2)
matrix completion
(2)
deep learning
(2)
minimax optimization
(2)
video super-resolution
(2)
video restoration
(2)
gradient descent
(2)
Papers
FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models
AAAI 2026
FedAGC: Federated Continual Learning with Asymmetric Gradient Correction
ICCV 2025
Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging
ICML 2025
Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution
AAAI 2025
GReg: Geometry-Aware Region Refinement for Sign Language Video Generation
ICCV 2025
Dual Semantic Guidance for Open Vocabulary Semantic Segmentation
CVPR 2025
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
CVPR 2025
Pose Guided Fine-Grained Sign Language Video Generation
ECCV 2024
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications
NIPS 2024
Deep Correlated Prompting for Visual Recognition with Missing Modalities
NIPS 2024
Long-Tailed Learning as Multi-Objective Optimization
AAAI 2024
SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network
AAAI 2024
A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization
NIPS 2023
Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning
ICCV 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima
NIPS 2023
Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots
ICML 2022
Exploring Example Influence in Continual Learning
NIPS 2022
HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks
AAAI 2022
Principal component analysis in the stochastic differential privacy model
UAI 2021
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling
AAAI 2021
Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding
AAAI 2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning
IJCAI 2021
Deep Residual-Dense Lattice Network for Speech Enhancement
AAAI 2020
Direct Acceleration of SAGA using Sampled Negative Momentum
AISTATS 2019
Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1,+1}
AAAI 2019
Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling Factor
IJCAI 2019
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization
AISTATS 2018
ASVRG: Accelerated Proximal SVRG
ACML 2018
A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates
ICML 2018
Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds
NIPS 2017
Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization
AISTATS 2016
Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion
NIPS 2014