| 2026 | WCNC | New Insights Into Positioning Performance Metrics for Integrated Sensing and Communication. | Wenbin Yang, Qianqian Cheng, Lu Peng |
| 2023 | ICIP | The Oil and Water Separation Phenomenon Inspired Loss for Feature Learning. | Zijia Wang, Wenbin Yang, Zhi-Song Liu, Jiacheng Ni, Qiang Chen, Zhen Jia |
| 2023 | SEKE | Object-Level Contrast Learning for 3D Sparse Object Detection in Ocean Scene. | Yuheng He, Wenbin Yang, Xiangfeng Luo, Liyan Ma, Shaorong Xie |
| 2022 | ACCV | Gift from Nature: Potential Energy Minimization for Explainable Dataset Distillation. | Zijia Wang, Wenbin Yang, Zhisong Liu, Qiang Chen, Jiacheng Ni, Zhen Jia |
| 2022 | ACCV | Object Centric Point Sets Feature Learning with Matrix Decomposition. | Zijia Wang, Wenbin Yang, Zhisong Liu, Qiang Chen, Jiacheng Ni, Zhen Jia |
| 2022 | ICIP | A Low-Rank Tensor Bayesian Filter Framework For Multi-Modal Analysis. | Wenbin Yang, Zijia Wang, Jiacheng Ni, Qiang Chen, Zhen Jia |
| 2021 | IJCAI | InverseNet: Augmenting Model Extraction Attacks with Training Data Inversion. | Xueluan Gong, Yanjiao Chen, Wenbin Yang, Guanghao Mei, Qian Wang |
| 2021 | SMC | RTStitch: Real-time Stitching of High-resolution PCB Images. | Wenbin Yang, Xianzhong Liu |
| 2018 | ICIP | Dense Deconvolutional Network for Semantic Segmentation. | Wenbin Yang, Quan Zhou, Jingnan Lu, Xiaofu Wu, Suofei Zhang, Longin Jan Latecki |