Near-threshold SRAM design with dynamic write-assist circuitry. - Chengzhi Jiang; Dayu Zhang; Song Zhang; He Wang (CITS, 2016)

State of Charge Estimation for Lithium Battery Based on Adaptively Weighting Cubature Particle Filter. - Kai Zhang 036; Jian Ma; Xuan Zhao 001; Dayu Zhang; Yilin He (IEEE Access, 2019)

EASE: Energy-efficient task scheduling for edge computing under uncertain runtime and unstable communication conditions. - Hui Yan; Ya Li; Xiaomin Zhu 001; Dayu Zhang; Ji Wang 002; Huangke Chen; Weidong Bao 001 (Concurr. Comput. Pract. Exp., 2021)

Teaching of Remote Sensing Technology for Landscape Architecture in the Context of Spatial Information Technology. - Xueling Zhang; Dayu Zhang (Int. J. Emerg. Technol. Learn., 2021)

Ensemble learning-based hierarchical retrieval of similar cases for site planning. - Pengyue Wang; Maozu Guo 001; Yunsong Han; Lingling Zhao; Xiaoping Zhou; Dayu Zhang (J. Comput. Des. Eng., 2021)

Qauxi: Cooperative multi-agent reinforcement learning with knowledge transferred from auxiliary task. - Wenqian Liang; Ji Wang 002; Weidong Bao 001; Xiaomin Zhu 001; Guanlin Wu; Dayu Zhang; Liyuan Niu (Neurocomputing, 2022)

Zeroth-Order Optimization Attacks on Deep Reinforcement Learning-Based Lane Changing Algorithms for Autonomous Vehicles. - Dayu Zhang; Nasser Lashgarian Azad; Sebastian Fischmeister; Stefan Marksteiner (ICINCO (1), 2023)

Asymptotic State Agreement of T-S Fuzzy Multi-agent Systems: A Dynamic Event-Triggered Approach. - Zhixiao Sun; Hua Li; Dayu Zhang; Zhenghong Jin; Yuzhong Wang (Int. J. Fuzzy Syst., 2023)

Spatially Explicit Modeling of Anthropogenic Heat Intensity in Beijing Center Area: An Investigation of Driving Factors with Urban Spatial Forms. - Meizi Yang; Shisong Cao; Dayu Zhang (Sensors, 2023)

Design and Analysis of Deployment Mechanism Based on Sliding Disc for Solid Surface Deployable Antenna. - Hao Li; Xiaofei Ma; Dayu Zhang; Guanlong Su; Huanxiao Li; Zexing Yu (ICIRA (1), 2024)

All on board: Efficient reinforcement learning with milestone aggregation in asynchronous distributed training for RTS games. - Dayu Zhang; Weidong Bao 001; Ji Wang 002; Xiongtao Zhang; Jingxuan Zhou; Yaohong Zhang (Neurocomputing, 2025)

Multi-task Federated Learning with Encoder-Decoder Structure: Enabling Collaborative Learning Across Different Tasks. - Jingxuan Zhou; Weidong Bao 001; Ji Wang 002; Dayu Zhang; Xiongtao Zhang; Yaohong Zhang (CoRR, 2025)

Efficient Multi-Task Modeling through Automated Fusion of Trained Models. - Jingxuan Zhou; Weidong Bao 001; Ji Wang 002; Zhengyi Zhong; Dayu Zhang (CoRR, 2025)