Shang, Fanhua

37 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

CVPR 2025 Dual Semantic Guidance for Open Vocabulary Semantic Segmentation Zhengyang Wang, Tingliang Feng, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan

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

ICCV 2025 GReg: Geometry-Aware Region Refinement for Sign Language Video Generation Tongkai Shi, Lianyu Hu, Fanhua Shang, Liqing Gao, 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 Deep Correlated Prompting for Visual Recognition with Missing Modalities Lianyu Hu, Tongkai Shi, Wei Feng, Fanhua Shang, Liang Wan

AAAI 2024 Long-Tailed Learning as Multi-Objective Optimization Weiqi Li, Fan Lyu, Fanhua Shang, Liang Wan, Wei Feng

ECCV 2024 Pose Guided Fine-Grained Sign Language Video Generation Tongkai Shi, Lianyu Hu, Fanhua Shang, Jichao Feng, Liu Peidong, Wei Feng

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

ICCV 2023 Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning Fan Lyu, Qing Sun, Fanhua Shang, Liang Wan, Wei Feng

NeurIPS 2022 Exploring Example Influence in Continual Learning Qing Sun, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan

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

AAAI 2020 Deep Residual-Dense Lattice Network for Speech Enhancement Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang

IJCAI 2019 Accelerated Incremental Gradient Descent Using Momentum Acceleration with Scaling Factor Yuanyuan Liu, Fanhua Shang, Licheng Jiao

AISTATS 2019 Direct Acceleration of SAGA Using Sampled Negative Momentum Kaiwen Zhou, Qinghua Ding, Fanhua Shang, James Cheng, Danli Li, Zhi-Quan Luo

AAAI 2019 Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1, +1 Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao

ICML 2018 A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates Kaiwen Zhou, Fanhua Shang, James Cheng

ACML 2018 ASVRG: Accelerated Proximal SVRG Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin

AISTATS 2018 Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida

NeurIPS 2017 Accelerated First-Order Methods for Geodesically Convex Optimization on Riemannian Manifolds Yuanyuan Liu, Fanhua Shang, James Cheng, Hong Cheng, Licheng Jiao

AAAI 2017 Accelerated Variance Reduced Stochastic ADMM Yuanyuan Liu, Fanhua Shang, James Cheng

AAAI 2016 Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization Fanhua Shang, Yuanyuan Liu, James Cheng

AISTATS 2016 Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization Fanhua Shang, Yuanyuan Liu, James Cheng

NeurIPS 2014 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion Yuanyuan Liu, Fanhua Shang, Wei Fan, James Cheng, Hong Cheng

AAAI 2014 Generalized Higher-Order Tensor Decomposition via Parallel ADMM Fanhua Shang, Yuanyuan Liu, James Cheng

UAI 2014 Nuclear Norm Regularized Least Squares Optimization on Grassmannian Manifolds Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng