← Authors

Fanhua Shang

32 papers · 2014–2026 · 10 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (11) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ”¬ Deep Specialist (14) 🀝 Dynamic Duo (17) πŸ† Keyword Champion (4) πŸ—ƒοΈ Keyword Collector (155) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (31) πŸ”₯ Unstoppable (10) πŸ“ˆ 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

Yuanyuan Liu (18) Hongying Liu (15) Wei Feng (11) Liang Wan (9) James Cheng (7) Fan Lyu (5) Zhouchen Lin (4) Licheng Jiao (4) Kaiwen Zhou (4) Weixin An (3)

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