| 2026 | AAAI | FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models. | Junkang Liu, Fanhua Shang, Hongying Liu, Yuxuan Tian, Yuanyuan Liu, Jin Liu, Kewen Zhu, Zhouchen Lin |
| 2026 | ACL | FLASH: Focused Layer Attention Sink Hijacking. | Siyuan Deng, Yerong Li, Fanhua Shang, Hongying Liu |
| 2025 | AAAI | 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 |
| 2025 | CVPR | Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation. | Hongmei Yin, Tingliang Feng, Fan Lyu, Fanhua Shang, Hongying Liu, Wei Feng, Liang Wan |
| 2025 | ICML | 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 |
| 2025 | IJCNN | MPN: A Multimodal Prototypical Part Network for Enhanced Dermatological Diagnosis and Decision Support. | Jingwei Zhang, Xiaodong Yang, Ting Li, He Yuan, Hongying Liu |
| 2024 | AAAI | SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network. | Zekun Li, Hongying Liu, Fanhua Shang, Yuanyuan Liu, Liang Wan, Wei Feng |
| 2024 | MICCAI | A 3D Unsupervised Domain Adaptation Framework Combining Style Translation and Self-training for Abdominal Organs Segmentation. | Jiaxi Li, Qiang Chen, Haoyu Ding, Hongying Liu, Liang Wan |
| 2023 | ICASSP | Adaptive Non-Local Generative Adversarial Networks for Low-Dose CT Image Denoising. | Linlin Yang, Hongying Liu, Fanhua Shang, Yuanyuan Liu |
| 2022 | AAAI | HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks. | Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu |
| 2022 | ICML | 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 |
| 2022 | ICTAI | PWPROP: A Progressive Weighted Adaptive Method for Training Deep Neural Networks. | Dong Wang, Tao Xu, Huatian Zhang, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Shengmei Shen |
| 2021 | AAAI | Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding. | Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin |
| 2021 | AAAI | Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. | Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu |
| 2021 | IJCAI | Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning. | Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu |
| 2021 | UAI | Principal component analysis in the stochastic differential privacy model. | Fanhua Shang, Zhihui Zhang, Tao Xu, Yuanyuan Liu, Hongying Liu |
| 2019 | CIKM | Loopless Semi-Stochastic Gradient Descent with Less Hard Thresholding for Sparse Learning. | Xiangyang Liu, Bingkun Wei, Fanhua Shang, Hongying Liu |
| 2019 | ICDM | A Stochastic Variance Reduced Extragradient Method for Sparse Machine Learning Problems. | Lin Kong, Xiaying Bai, Yang Hu, Fanhua Shang, Yuanyuan Liu, Hongying Liu |
| 2019 | ICDM | A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images. | Hongying Liu, Zhongshu Wang, Fanhua Shang, Mingyang Zhang, Maoguo Gong, Feihang Ge, Licheng Jiao |
| 2019 | ICDM | Efficient Parallel Stochastic Variance Reduction Algorithms for Large-Scale SVD. | Fanhua Shang, Zhihui Zhang, Yuying An, Yang Hu, Hongying Liu |
| 2019 | ICDM | signADAM++: Learning Confidences for Deep Neural Networks. | Dong Wang, Yicheng Liu, Wenwo Tang, Fanhua Shang, Hongying Liu, Qigong Sun, Licheng Jiao |
| 2019 | MICCAI | CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation. | Hongying Liu, Xiongjie Shen, Fanhua Shang, Feihang Ge, Fei Wang |
| 2017 | IGARSS | Hyperspectral image classification based on stacked marginal discriminative autoencoder. | Jie Feng, Liguo Liu, Xiangrong Zhang, Rongfang Wang, Hongying Liu |
| 2017 | VCIP | Facial age estimation through self-paced learning. | Li Sun, Song Qiu, Hongying Liu, Mei Zhou, Qingli Li |
| 2016 | HCI | Optimization of Complex Structure Based on Human-Computer Interaction Method. | Lei Liu, Aijun Ma, Hongying Liu, Xuemei Feng, Meng Shi |
| 2016 | IGARSS | Terrain classification with Polarimetric SAR based on Deep Sparse Filtering Network. | Hongying Liu, Qiang Min, Chen Sun, Jin Zhao, Shuyuan Yang, Biao Hou, Jie Feng, Licheng Jiao |
| 2016 | IGARSS | Fast semi-supervised classification based on parallel auction graph for polarimetric SAR data. | Hongying Liu, Xing Xing, Shigang Wang, Zhixi Feng, Erlei Zhang, Shuyuan Yang, Biao Hou, Licheng Jiao |
| 2015 | IGARSS | Semi-supervised classification based on anchor-spatial graph for large polarimetric SAR data. | Hongying Liu, Yikai Wang, Dexiang Zhu, Shuyuan Yang, Shuang Wang, Biao Hou, Licheng Jiao |
| 2014 | IGARSS | Unsupervised classification of polarimetric SAR images integrating color features. | Hongying Liu, Shuang Wang, Biao Hou, Shuyuan Yang, Junfei Shi, Tao Xiong, Licheng Jiao |
| 2012 | Networking | Routing On Demand: Toward the Energy-Aware Traffic Engineering with OSPF. | Meng Shen, Hongying Liu, Ke Xu, Ning Wang, Yifeng Zhong |
| 2011 | ACISP | Electromagnetic Analysis Enhancement with Signal Processing Techniques (Poster). | Hongying Liu, Yukiyasu Tsunoo, Satoshi Goto |
| 2011 | ICDCS | One More Weight is Enough: Toward the Optimal Traffic Engineering with OSPF. | Ke Xu, Hongying Liu, Jiangchuan Liu, Meng Shen |
| 2011 | SECON | Analyzing credit evolution for credit-based incentive schemes in wireless mesh networks. | Patrick Pak-Ching Lee, Hongying Liu, John Chi-Shing Lui |
| 2010 | WISA | Correlation Power Analysis Based on Switching Glitch Model. | Hongying Liu, Guoyu Qian, Satoshi Goto, Yukiyasu Tsunoo |