Hongying Liu
19 papers · 2021–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(18)
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(6)
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Keyword Collector
(105)
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Research topics
Machine Learning
(14)
Deep Learning
(10)
Optimization & Theory Β· Machine Learning
(10)
Computer Vision
(6)
Mathematics & Optimization
(5)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Optimization
(5)
Processing
(5)
Artificial Intelligence
(4)
Architectures
(4)
Core Methods
(4)
Optimization & Theory Β· Deep Learning
(3)
Healthcare & Medicine
(2)
Application Areas
(2)
Keywords
federated learning
(4)
catastrophic forgetting
(3)
stochastic optimization
(3)
video super-resolution
(3)
convex optimization
(2)
motion compensation
(2)
minimax optimization
(2)
convergence analysis
(2)
convergence rate
(2)
neural network
(2)
video restoration
(2)
anomaly detection
(1)
transformer architecture
(1)
image restoration
(1)
manifold learning
(1)
matrix decomposition
(1)
unsupervised learning
(1)
non-convex optimization
(1)
video enhancement
(1)
network architecture
(1)
Papers
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
Towards Convexity in Anomaly Detection: A New Formulation of SSLM with Unique Optimal Solutions
JMLR 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
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
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
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