Liu, Hongying

16 publications

CVPR 2025 Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation Hongmei Yin, Tingliang Feng, Fan Lyu, Fanhua Shang, Hongying Liu, Wei Feng, Liang Wan

ICCV 2025 FedAGC: Federated Continual Learning with Asymmetric Gradient Correction Chengchao Zhang, Fanhua Shang, Hongying Liu, Liang Wan, Wei Feng

ICML 2025 Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging Junkang Liu, Yuanyuan Liu, Fanhua Shang, Hongying Liu, Jin Liu, Wei Feng

NeurIPS 2025 QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution Zhenwei Zhang, Fanhua Shang, Hongying Liu, Liang Wan, Wei Feng, Yanming Hui

NeurIPS 2025 Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario Under Weaker Assumptions Weixin An, Yuanyuan Liu, Fanhua Shang, Han Yu, Junkang Liu, Hongying Liu

AAAI 2025 Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution Sen Chen, Hongying Liu, Chaowei Fang, Fanhua Shang, Yuanyuan Liu, Liang Wan, Dongmei Jiang, Yaowei Wang

NeurIPS 2024 Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications Weixin An, Yuanyuan Liu, Fanhua Shang, Hongying Liu

AAAI 2024 SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network Zekun Li, Hongying Liu, Fanhua Shang, Yuanyuan Liu, Liang Wan, Wei Feng

NeurIPS 2023 A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization Yuanyuan Liu, Fanhua Shang, Weixin An, Junhao Liu, Hongying Liu, Zhouchen Lin

NeurIPS 2023 Boosting Adversarial Transferability by Achieving Flat Local Maxima Zhijin Ge, Hongying Liu, Wang Xiaosen, Fanhua Shang, Yuanyuan Liu

AAAI 2022 HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu

ICML 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 Yuanyuan Liu, Fanhua Shang, Weixin An, Hongying Liu, Zhouchen Lin

IJCAI 2021 Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu

AAAI 2021 Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu

AAAI 2021 Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin

UAI 2021 Principal Component Analysis in the Stochastic Differential Privacy Model Fanhua Shang, Zhihui Zhang, Tao Xu, Yuanyuan Liu, Hongying Liu