Hongying Liu

发表

HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks

Yuanyuan Liu, Fanhua Shang, Wei Sun, 2022, AAAI.

A Uniﬁed Scalable Equivalent Formulation for Schatten Quasi-Norms

Yuanyuan Liu, Fanhua Shang, Licheng Jiao, 2020 .

Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots

Zhouchen Lin, Yuanyuan Liu, Fanhua Shang, 2022, ICML.

Balanced Gradient Penalty Improves Deep Long-Tailed Learning

D. Wang, Yuanyuan Liu, Fanhua Shang, 2022, ACM Multimedia.

Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning

Pan Zhou, Maoguo Gong, Yuanyuan Liu, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning

Zhouchen Lin, L. Jiao, Yuanyuan Liu, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Semi-supervised classification via kernel low-rank representation graph

Shuyuan Yang, Licheng Jiao, Zhixi Feng, 2014, Knowl. Based Syst..

Graph Convolutional Networks by Architecture Search for PolSAR Image Classification

Fanhua Shang, Yuanyuan Liu, Jianhua Lu, 2021, Remote. Sens..

Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling

Fanhua Shang, Yuanyuan Liu, Zhubo Ruan, 2021, AAAI.

Video super-resolution based on deep learning: a comprehensive survey pdf

Fanhua Shang, Peng Zhao, Zhubo Ruan, 2020, Artificial Intelligence Review.

Progressive Semantic Matching for Video-Text Retrieval

Fanhua Shang, Yuanyuan Liu, Hongying Liu, 2021, ACM Multimedia.

Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding

Fanhua Shang, Zhouchen Lin, Yuanyuan Liu, 2021, AAAI.

Stochastic Recursive Gradient Support Pursuit and Its Sparse Representation Applications

Licheng Jiao, Fanhua Shang, Shuang Wang, 2020, Sensors.

A Numerical DEs Perspective on Unfolded Linearized ADMM Networks for Inverse Problems

Yuanyuan Liu, Fanhua Shang, Hongying Liu, 2022, ACM Multimedia.

Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning

Fanhua Shang, Yuanyuan Liu, Hongying Liu, 2021, IJCAI.

PWPROP: A Progressive Weighted Adaptive Method for Training Deep Neural Networks

D. Wang, Yuanyuan Liu, Fanhua Shang, 2022, 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI).

Boosting Adversarial Transferability by Achieving Flat Local Maxima

Yuanyuan Liu, Fanhua Shang, Hongying Liu, 2023, ArXiv.

Arbitrary-scale Super-resolution via Deep Learning: A Comprehensive Survey

R. Timofte, Yuanyuan Liu, Fanhua Shang, 2023, Inf. Fusion.

Adaptive Non-Local Generative Adversarial Networks for Low-Dose CT Image Denoising

Yuanyuan Liu, Fanhua Shang, L. Yang, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Asynchronous Parallel, Sparse Approximated SVRG for High-Dimensional Machine Learning

Fanhua Shang, Yuanyuan Liu, Hongying Liu, 2022, IEEE Transactions on Knowledge and Data Engineering.

Video super-resolution based on deep learning: a comprehensive survey

Yuanyuan Liu, Fanhua Shang, Hongying Liu, 2020, Artificial Intelligence Review.

Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer

Liang Wan, Yuanyuan Liu, Fanhua Shang, 2023, ACM Multimedia.

Boosting Adversarial Transferability by Achieving Flat Local Maxima

Yuanyuan Liu, Fanhua Shang, Hongying Liu, 2023, NeurIPS.

Boosting Gradient for White-Box Adversarial Attacks pdf

Zhenyu Zhou, Fanhua Shang, Yuanyuan Liu, 2020, ArXiv.