Continuous Viewpoint Planning in Conjunction with Dynamic Exploration for Active Object Recognition. - Haibo Sun; Feng Zhu 014; Yanzi Kong; Jianyu Wang 009; Pengfei Zhao 007 (Entropy, 2021)

Unified Optimization for Multiple Active Object Recognition Tasks with Feature Decision Tree. - Haibo Sun; Feng Zhu 014; Yingming Hao; Shuangfei Fu; Yanzi Kong; Chenglong Xu; Jianyu Wang 009 (J. Intell. Robotic Syst., 2021)

A View Planning Method for 3D Reconstruction with Unknown Feature Prediction. - Yanzi Kong; Feng Zhu 014; Haibo Sun; Zhiyuan Lin; Qun Wang; Jianyu Wang 009 (ICMRE, 2022)

RSSGG_CS: Remote Sensing Image Scene Graph Generation by Fusing Contextual Information and Statistical Knowledge. - Zhiyuan Lin; Feng Zhu 014; Qun Wang; Yanzi Kong; Jianyu Wang 009; Liang Huang; Yingming Hao (Remote. Sens., 2022)

SRSG and S2SG: A Model and a Dataset for Scene Graph Generation of Remote Sensing Images From Segmentation Results. - Zhiyuan Lin; Feng Zhu 014; Yanzi Kong; Qun Wang; Jianyu Wang 009 (IEEE Trans. Geosci. Remote. Sens., 2022)

Viewpoint planning with transition management for active object recognition. - Haibo Sun; Feng Zhu 014; Yangyang Li; Pengfei Zhao 007; Yanzi Kong; Jianyu Wang 009; Yingcai Wan; Shuangfei Fu (Frontiers Neurorobotics, 2023)

An Optimized RANSAC for The Feature Matching of 3D LiDAR Point Cloud. - Yunge Cui; Yingming Hao; Qingxiao Wu; Qun Wang; Jianyu Wang 009; Pengfei Zhao 007; Feng Zhu 014 (CNIOT, 2024)

A single-stream adaptive scene layout modeling method for scene recognition. - Qun Wang; Feng Zhu 014; Zhiyuan Lin; Jianyu Wang 009; Xiang Li; Pengfei Zhao 007 (Neural Comput. Appl., 2024)

Active Object Detection Using a Novel Network and Partial Prior Information. - Jianyu Wang 009; Feng Zhu 014; Qun Wang; Pengfei Zhao 007 (Expert Syst. J. Knowl. Eng., 2025)

Object-Level and Scene-Level Feature Aggregation with CLIP for scene recognition. - Qun Wang; Feng Zhu 014; Ge Wu; Pengfei Zhao 007; Jianyu Wang 009; Xiang Li (Inf. Fusion, 2025)

An active object detection model with multi-step prediction based on deep q-learning network and innovative training algorithm. - Jianyu Wang 009; Feng Zhu 014; Qun Wang; Yunge Cui; Haibo Sun; Pengfei Zhao 007 (Appl. Intell., 2025)