Research of the Method of Local Topography Rapid Reconstructed. - Minrong Zhao; Shengli Deng; Ze Shi (ICIC (2), 2009)

Design of Deterministic Grant-Free Access with Deep Reinforcement Learning. - Hanqing Yu; Yajie Kang; Ze Shi; Yulin Shao; Yan Lin 004; Yijin Zhang (ICCT, 2020)

Cycle Condition Identification of Loader Based on Optimized KNN Algorithm. - Zeyu Zhang; Jizhuang Hui; Ze Shi; Shihao Gao; Xuhui Zhang; Hongwei Fan (IEEE Access, 2020)

Zero-Shot Image Classification Based on a Learnable Deep Metric. - Jingyi Liu; Caijuan Shi; Dongjing Tu; Ze Shi; Yazhi Liu (Sensors, 2021)

Vision-based Distributed Multi-UAV Collision Avoidance via Deep Reinforcement Learning for Navigation. - Huaxing Huang; Guijie Zhu; Zhun Fan; Hao Zhai; Yuwei Cai; Ze Shi; Zhaohui Dong; Zhifeng Hao (IROS, 2022)

PanoVpr: Towards Unified Perspective-to-Equirectangular Visual Place Recognition via Sliding Windows Across the Panoramic View. - Ze Shi; Hao Shi 004; Kailun Yang 001; Zhe Yin; Yining Lin; Kaiwei Wang (ITSC, 2023)

A Spatial Focal Modulation Network for Image Restoration. - Lei Yang; Jingyi Liu; Ze Shi; Caijuan Shi; Liqi Li; Fanyu Meng (AIoTC, 2024)

Research on quality assessment methods for cybersecurity knowledge graphs. - Ze Shi; Hongyi Li; Di Zhao 001; Chengwei Pan (Comput. Secur., 2024)

Industrial product surface defect detection via the fast denoising diffusion implicit model. - Yue Wang; Yong Yang; Mingsheng Liu; Xianghong Tang; Haibin Wang; Zhifeng Hao; Ze Shi; Gang Wang; Botao Jiang; Chunyang Liu (Int. J. Mach. Learn. Cybern., 2024)

Research on Parameter-Efficient Knowledge Graph Completion Methods and Their Performance in the Cybersecurity Field. - Bin Chen; Hongyi Li; Ze Shi (IEEE Access, 2025)