Numerical simulation of the complete rock blasting response by SPH-DAM-FEM approach. - Yingguo Hu; Wenbo Lu; Ming Chen; Peng Yan; Yuzhu Zhang (Simul. Model. Pract. Theory, 2015)

Monitoring Citrus Soil Moisture and Nutrients Using an IoT Based System. - Xueyan Zhang; Jianwu Zhang; Lin Li; Yuzhu Zhang; Guocai Yang (Sensors, 2017)

Research on logistics supply chain of iron and steel enterprises based on block chain technology. - Aimin Yang 001; Yifan Li; Chenshuai Liu; Jie Li 020; Yuzhu Zhang; Jiahao Wang (Future Gener. Comput. Syst., 2019)

Air Quality Index Prediction Based on Deep Recurrent Neural Network. - Zhiyu Chen 006; Yuzhu Zhang; Gang Liu; Jianwei Guo (ICAIS (1), 2020)

Reinforcement Learning-based Decentralized Optimal Control for Large-Scale Multi-agent System by Using Neural Networks and Discrete-time Mean Field Games. - Zejian Zhou; Yuzhu Zhang; Hao Xu 002 (IJCNN, 2021)

A Bayesian Approach to Predict Blast-Induced Damage of High Rock Slope Using Vibration and Sonic Data. - Pengchang Sun; Wenbo Lu; Haoran Hu; Yuzhu Zhang; Ming Chen; Peng Yan (Sensors, 2021)

Investigation of Deformation Pattern and Movement Law of the Huge-Thick Conglomerate Stratum by a Large-Scale 3D Model Test with Distributed Optical Fiber Sensor Monitoring. - Qiang Yuan; Jing Chai; Yuzhu Zhang; Yongliang Liu; Yiwei Ren (Sensors, 2021)

Data-Enabled Learning based Intelligent Resource Allocation for Multi-RIS Assisted Dynamic Wireless Network. - Yuzhu Zhang; Hao Xu 002 (GLOBECOM (Workshops), 2022)

Optimal Resource Allocation for Reconfigurable Intelligent Surface Assisted Dynamic Wireless Network via Online Reinforcement Learning. - Yuzhu Zhang; Hao Xu 002 (SECON Workshops, 2022)

Feature recognition of irregular pellet images by regularized Extreme Learning Machine in combination with fractal theory. - Weixing Liu; Shaohong Yan; Tailong Chen; Jiaqing Cheng; Ke Wang; Jintao Song; Aimin Yang 001; Jie Li 059; Hongwei Xing; Yuzhu Zhang (Future Gener. Comput. Syst., 2022)

Spatially Non-Stationary Relationships between Changing Environment and Water Yield Services in Watersheds of China's Climate Transition Zones. - Zhe Cao; Wei Zhu 019; Pingping Luo; Shuangtao Wang; Zeming Tang; Yuzhu Zhang; Bin Guo (Remote. Sens., 2022)

Urban Flood-Related Remote Sensing: Research Trends, Gaps and Opportunities. - Wei Zhu 019; Zhe Cao; Pingping Luo; Zeming Tang; Yuzhu Zhang; Maochuan Hu; Bin He (Remote. Sens., 2022)

Joint Optimal Placement and Dynamic Resource Allocation for multi-UAV Enhanced Reconfigurable Intelligent Surface Assisted Wireless Network. - Yuzhu Zhang; Lijun Qian; Hao Xu 002 (CCNC, 2023)

Reinforcement Learning based Optimal Dynamic Resource Allocation for RIS-aided MIMO Wireless Network with Hardware Limitations. - Yuzhu Zhang; Lijun Qian; Abdullah Eroglu; Binbin Yang; Hao Xu 002 (ICNC, 2023)

Two-Stage Online Reinforcement Learning based Distributed Optimal Resource Allocation for Multiple RIS-assisted Mobile Ad-Hoc Network. - Yuzhu Zhang; Hao Xu 002 (ICNC, 2023)

Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning. - Yan Kang 001; Hanlin Gu; Xingxing Tang; Yuanqin He; Yuzhu Zhang; Jinnan He; Yuxing Han 001; Lixin Fan; Kai Chen 005; Qiang Yang 001 (CoRR, 2023)

Intelligent Hybrid Modeling of Complex Leaching System Based on LSTM Neural Network. - Shijian Dong; Yuzhu Zhang; Xingxing Zhou (Syst., 2023)

Drought Disasters in China from 1991 to 2018: Analysis of Spatiotemporal Trends and Characteristics. - Xiaofeng Wang; Pingping Luo; Yue Zheng; Weili Duan; Shuangtao Wang; Wei Zhu 019; Yuzhu Zhang; Daniel Nover (Remote. Sens., 2023)

Future Land Use and Flood Risk Assessment in the Guanzhong Plain, China: Scenario Analysis and the Impact of Climate Change. - Pingping Luo; Xiaohui Wang; Lei Zhang; Mohd Remy Rozainy Mohd Arif Zainol; Weili Duan; Maochuan Hu; Bin Guo; Yuzhu Zhang; Yihe Wang; Daniel Nover (Remote. Sens., 2023)

Domain Adaptation for Semantic Segmentation of Cataract Surgical Images Based on Masked Image Consistency. - Yuzhu Zhang; Yijie Pan; Mingyang Ou; Guanghui Gong; Qinhu Zhang; Haojin Li; Heng Li (ICAI (1), 2024)

Optimal Dynamic Resource Allocation for Multi-RIS Assisted Wireless Network: A Causal Reinforcement Learning Approach. - Yuzhu Zhang; Hao Xu (ICNC, 2024)

Decentralized Learning based Optimal Design for RIS-assisted Multi-user Ad-Hoc Network: A Multi-Player Multi-Armed Bandits Approach. - Yuzhu Zhang; Hao Xu (ICNC, 2024)

Distributed Data-Driven Learning-Based Optimal Dynamic Resource Allocation for Multi-RIS-Assisted Multi-User Ad-Hoc Network. - Yuzhu Zhang; Hao Xu (Algorithms, 2024)

Adapting LLMs for Efficient Context Processing through Soft Prompt Compression. - Cangqing Wang; Yutian Yang; Ruisi Li; Dan Sun; Ruicong Cai; Yuzhu Zhang; Chengqian Fu; Lillian Floyd (CoRR, 2024)

A Survey on Contribution Evaluation in Vertical Federated Learning. - Yue Cui 001; Chung-ju Huang; Yuzhu Zhang; Leye Wang; Lixin Fan; Xiaofang Zhou 001; Qiang Yang 001 (CoRR, 2024)

Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices. - Zhiyuan Ma 005; Yuzhu Zhang; Guoli Jia; Liangliang Zhao; Yichao Ma; Mingjie Ma; Gaofeng Liu; Kaiyan Zhang; Jianjun Li; Bowen Zhou 002 (CoRR, 2024)

An Online Learning-based Intelligent Dynamic Resource Allocation for Reconfigurable Intelligent Surface Assisted Wireless Network. - Yuzhu Zhang (2024)

Pellet image segmentation model of superpixel feature-based support vector machine in digital twin. - Weining Ma; Jingguo Qu; Lijing Wang; Chun Zhang; Aimin Yang 001; Yuzhu Zhang (Appl. Soft Comput., 2024)

Reconfigurable-Intelligent-Surface-Enhanced Dynamic Resource Allocation for the Social Internet of Electric Vehicle Charging Networks with Causal-Structure-Based Reinforcement Learning. - Yuzhu Zhang; Hao Xu (Future Internet, 2024)

A Bioinspired Robotic Finger for Multimodal Tactile Sensing Powered by Fiber Optic Sensors. - Baijin Mao; Kunyu Zhou; Yuyaocen Xiang; Yuzhu Zhang; Qiangjing Yuan; Hongwei Hao; Yaozhen Chen; Houde Liu; Xueqian Wang 001; Xiaohao Wang; Juntian Qu (Adv. Intell. Syst., 2024)

A Cable-Actuated Soft Manipulator for Dexterous Grasping Based on Deep Reinforcement Learning. - Kunyu Zhou; Baijin Mao; Yuzhu Zhang; Yaozhen Chen; Yuyaocen Xiang; Zhenping Yu; Hongwei Hao; Wei Tang; Yanwen Li; Houde Liu; Xueqian Wang 001; Xiaohao Wang; et al. (Adv. Intell. Syst., 2024)

A Comparative Analysis of Performance Simulation for PUI Detectors Based on Traditional Probability Model and the Vasyliunas and Siscoe Model. - Yu Cao; Yuzhu Zhang; Xiaodong Peng; Changbin Xue; Bin Su (Sensors, 2024)

Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework. - Yan Kang 001; Hanlin Gu; Xingxing Tang; Yuanqin He; Yuzhu Zhang; Jinnan He; Yuxing Han 001; Lixin Fan; Kai Chen 005; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2024)

M$^{2}$Convformer: Multiscale Masked Hybrid Convolution-Transformer Network for Hyperspectral Image Super-Resolution. - Shuo Wang 021; Boneng Shi; Ninglian Wang; Yuzhu Zhang; Yan Zhu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

MHNet: A Masked Hybrid Network for Robust Water Body Segmentation From Aerial Images. - Shuo Wang 021; Bin Wei; Boneng Shi; Ninglian Wang; Yuzhu Zhang; Yan Zhu (IEEE Trans. Geosci. Remote. Sens., 2025)

Efficient Diffusion Models: A Comprehensive Survey From Principles to Practices. - Zhiyuan Ma 005; Yuzhu Zhang; Guoli Jia; Liangliang Zhao; Yichao Ma; Mingjie Ma; Gaofeng Liu; Kaiyan Zhang; Ning Ding 002; Jianjun Li; Bowen Zhou 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)