Deep-Green: A Dispersed Energy-Efficiency Computing Paradigm for Green Industrial IoT. - Ning Hu; Zhihong Tian; Xiaojiang Du; Nadra Guizani; Zhihan Zhu (IEEE Trans. Green Commun. Netw., 2021)

Disturbance-resistant Camera-LiDAR Fusion for Robust Three-dimentional Object Detection. - Zhihan Zhu; Xubin Lin; Zerong Su; Shixin Mao; Haifei Zhu; Xuefeng Zhou (ROBIO, 2022)

PyrAug: Gaussian Pyramid-based Multi-scale Data Augmentation for Panoptic Plant Segmentation with Ambiguous Boundary. - Yuhui Zou; Zhihan Zhu; Zhihao Xu 001; Xuefeng Zhou; Shixin Mao; Hongmin Wu (ROBIO, 2022)

MDANet: Multi-scale Vague Boundary Augmented Dual Attention Network for Semantic Segmentation of Outdoor Plants. - Pengfei Yuan; Hongmin Wu; Zhihan Zhu; Shixin Mao; Xuefeng Zhou; Haifei Zhu (RCAR, 2023)

Diffractive Theory Study of Twisted Light's Evolution during Phase-Only OAM Manipulations. - Zhi-Yuan Zhou; Zhihan Zhu; Baosen Shi (Quantum Eng., 2023)

A secure and flexible edge computing scheme for AI-driven industrial IoT. - Yan Zhao; Ning Hu; Yue Zhao; Zhihan Zhu (Clust. Comput., 2023)

LPNER: Label Prompt for Few-shot Nested Named Entity Recognition. - Jiaoyun Yang; Zhihan Zhu; Hong Ming; Lili Jiang 002; Ning An 001 (ACML, 2024)

Block Sparse Bayesian Learning: A Diversified Scheme. - Yanhao Zhang; Zhihan Zhu; Yong Xia 002 (NeurIPS, 2024)

Learning with Diversification from Block Sparse Signal. - Yanhao Zhang; Zhihan Zhu; Yong Xia 002 (CoRR, 2024)

SPP-SBL: Space-Power Prior Sparse Bayesian Learning for Block Sparse Recovery. - Yanhao Zhang; Zhihan Zhu; Yong Xia (CoRR, 2025)

Convergence rate of projected subgradient method with time-varying step-sizes. - Zhihan Zhu; Yanhao Zhang; Yong Xia 002 (Optim. Lett., 2025)

Runge-Kutta Approximation and Decoupled Attention for Rectified Flow Inversion and Semantic Editing. - Weiming Chen; Zhihan Zhu; Yijia Wang; Zhihai He (CoRR, 2025)