Hongying Liu
15 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (10)
🌍
Conference Polyglot
(7)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(10)
🤝
Dynamic Duo
(14)
🗃️
Keyword Collector
(86)
💎
Century Club
(14)
🔥
Unstoppable
(5)
Conferences
AAAI (6)
NIPS (3)
ICML (2)
CVPR (1)
ICCV (1)
IJCAI (1)
UAI (1)
Top co-authors
Keywords
federated learning
(3)
stochastic optimization
(3)
minimax optimization
(2)
catastrophic forgetting
(2)
neural network
(2)
video super-resolution
(2)
video restoration
(2)
convergence rate
(2)
transformer architecture
(1)
image restoration
(1)
matrix decomposition
(1)
convex optimization
(1)
principal component analysis
(1)
accelerated optimization
(1)
unsupervised learning
(1)
network architecture
(1)
convergence analysis
(1)
nonconvex optimization
(1)
attention mechanism
(1)
video enhancement
(1)
Papers
FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models
AAAI 2026
Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution
AAAI 2025
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
SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network
AAAI 2024
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications
NIPS 2024
Boosting Adversarial Transferability by Achieving Flat Local Maxima
NIPS 2023
A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization
NIPS 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
Principal component analysis in the stochastic differential privacy model
UAI 2021
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