Fanhua Shang

Beyond the Static-World: Lifelong Learning for All-in-One Medical Image Restoration CVPR 2026 FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models AAAI 2026 PDD: Manifold-Prior Diverse Distillation for Medical Anomaly Detection CVPR 2026 VSRELL: A Simple Baseline for Video Super-Resolution and Enhancement in Low-Light Environment CVPR 2026 Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation CVPR 2025 Dual Semantic Guidance for Open Vocabulary Semantic Segmentation CVPR 2025 FedAGC: Federated Continual Learning with Asymmetric Gradient Correction ICCV 2025 GReg: Geometry-Aware Region Refinement for Sign Language Video Generation 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 Deep Correlated Prompting for Visual Recognition with Missing Modalities NeurIPS 2024 Long-Tailed Learning as Multi-Objective Optimization AAAI 2024 Pose Guided Fine-Grained Sign Language Video Generation ECCV 2024 Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NeurIPS 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 NeurIPS 2023 Boosting Adversarial Transferability by Achieving Flat Local Maxima NeurIPS 2023 Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning ICCV 2023 Exploring Example Influence in Continual Learning NeurIPS 2022 HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks AAAI 2022 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 Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning IJCAI 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 Principal component analysis in the stochastic differential privacy model UAI 2021 Deep Residual-Dense Lattice Network for Speech Enhancement AAAI 2020 Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling Factor IJCAI 2019 Direct Acceleration of SAGA using Sampled Negative Momentum AISTATS 2019 Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1,+1} AAAI 2019 A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates ICML 2018 ASVRG: Accelerated Proximal SVRG ACML 2018 Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization AISTATS 2018 Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds NeurIPS 2017 Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization AISTATS 2016 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NeurIPS 2014