| 2023 | ICASSP | ROI-Based Deep Image Compression with Swin Transformers. | Binglin Li, Jie Liang, Haisheng Fu, Jingning Han |
| 2022 | PCS | Learned Image Compression with Inception Residual Blocks and Multi-Scale Attention Module. | Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jiangning Han |
| 2022 | PRICAI | MuHca: Mixup Heterogeneous Graphs for Contrastive Learning with Data Augmentation. | Dengzhe Liang, Binglin Li, Hongxi Li, Yuncheng Jiang |
| 2020 | DCC | Deep Learning-Based Image Compression with Trellis Coded Quantization. | Binglin Li, Mohammad Akbari, Jie Liang, Yang Wang |
| 2019 | ICIP | Compression Artifact Removal with Stacked Multi-Context Channel-Wise Attention Network. | Binglin Li, Jie Liang, Yang Wang |
| 2018 | ICPR | Visual Relationship Detection Using Joint Visual-Semantic Embedding. | Binglin Li, Yang Wang |
| 2018 | MMSP | Privacy-Preserving Age Estimation for Content Rating. | Linwei Ye, Binglin Li, Noman Mohammed, Yang Wang, Jie Liang |
| 2016 | ISIT | Chernoff information of bottleneck Gaussian trees. | Binglin Li, Shuangqing Wei, Yue Wang, Jian Yuan |
| 2015 | ISVC | Ice Detection on Electrical Power Cables. | Binglin Li, Gabriel Thomas, Dexter Williams |