Stock loan with automatic termination clause, cap and margin. - Zongxia Liang; Weiming Wu; Shuqing Jiang (Comput. Math. Appl., 2010)

Information Management in Solid Wood Fuel Order-Supply Process. - Pasi Eino Haverinen; Abel Terefe; Weiming Wu; Ari Serkkola (Int. J. Green Comput., 2015)

Model Checking Probabilistic Network Propagation Protection Strategies. - Zonghao Guo; Ou Wei; Peng Yu; Lansheng Han; Weiming Wu (Trustcom/BigDataSE/ISPA, 2016)

Application of WeChat in university libraries in China. - Qingkui Xi; Yong Zhang; Xinquan Li; Weiming Wu (Educ. Inf., 2017)

Deterministic Learning-Based Methodology for Detecting Abnormal Dynamics of Cardiac Repolarization During Ischemia. - Muqing Deng; Weiming Wu; Jiuwen Cao; Min Tang; Cong Wang 007 (EMBC, 2019)

Efficient PatchMatch-Based Image Registration and Retargeting for Cartoon Animation. - Chuanyan Hao; Bo Jiang 018; Weiming Wu; Sijiang Liu; Liping He (ICAIS (1), 2019)

Deterministic learning from sampling data. - Weiming Wu; Cong Wang 007; Chengzhi Yuan (Neurocomputing, 2019)

The Cardiodynamicsgram Based Early Detection of Myocardial Ischemia Using the Lempel-Ziv Complexity. - Qinghua Sun; Qian Wang 023; Bing Ji; Weiming Wu; Weiyi Huang; Cong Wang 007 (IEEE Access, 2020)

Rapid dynamical pattern recognition for sampling sequences. - Weiming Wu; Qian Wang 023; Chengzhi Yuan; Cong Wang 007 (Sci. China Inf. Sci., 2021)

Dynamical pattern recognition for sampling sequences based on deterministic learning and structural stability. - Weiming Wu; Fukai Zhang; Cong Wang 007; Chengzhi Yuan (Neurocomputing, 2021)

Dynamic Semantic Modeling of Structural Data Sources. - Hailong Chu; Weiming Wu; Wolfgang Mayer; Debo Cheng; Hong-Yu Zhang; Zaiwen Feng (HPCC/DSS/SmartCity/DependSys, 2022)

A Parametric Detection Algorithm based on Uniform Space-Time Scan and Clutter Rank. - Jie Lin; Chaoshu Jiang; Weiming Wu (ICDSP, 2022)

A hierarchical opportunistic screening model for osteoporosis using machine learning applied to clinical data and CT images. - Liyu Liu; Meng Si; Hecheng Ma; Menglin Cong; Quanzheng Xu; Qinghua Sun; Weiming Wu; Cong Wang 007; Michael J. Fagan; Luis A. J. Mur; Qing Yang; Bing Ji (BMC Bioinform., 2022)

Deterministic learning from neural control for a class of sampled-data nonlinear systems. - Fukai Zhang; Weiming Wu; Jingtao Hu; Cong Wang 007 (Inf. Sci., 2022)

Observer Design for Sampled-Data Systems via Deterministic Learning. - Jingtao Hu; Weiming Wu; Bing Ji; Cong Wang 007 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Dynamic learning-based fault tolerant control for robotic manipulators with actuator faults. - Fukai Zhang; Weiming Wu; Rui Song; Cong Wang 007 (J. Frankl. Inst., 2023)

Pattern-based learning and control of nonlinear pure-feedback systems with prescribed performance. - Fukai Zhang; Weiming Wu; Cong Wang 007 (Sci. China Inf. Sci., 2023)

Observer-based dynamical pattern recognition via deterministic learning. - Jingtao Hu; Weiming Wu; Fukai Zhang; Tianrui Chen; Cong Wang 007 (Neural Networks, 2023)

A new method for the assessment of adenoid hypertrophy: Respirdynamicsgram (RDG). - Weiming Wu; Haihang Sun; Zhenxiao Teng; Ming Xia; Qinghua Sun; Fukai Zhang; Wei Li; Lei Shi; Cong Wang 007 (Biomed. Signal Process. Control., 2023)

Detection of cervical spondylotic myelopathy based on gait analysis and deterministic learning. - Bing Ji; Qihang Dai; Xinyu Ji; Weiming Wu; Qinghua Sun; Hecheng Ma; Menglin Cong; Lei Cheng; Cong Wang 007; Meng Si; Wei Zeng 003 (Artif. Intell. Rev., 2023)

Observer-Based Learning and Non-High-Gain Recognition of Univariate Time Series. - Jingtao Hu; Weiming Wu; Fukai Zhang; Cong Wang 007 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Establishment and validation of an AI-aid method in the diagnosis of myocardial perfusion imaging. - Ruyi Zhang 003; Peng Wang 029; Yanzhu Bian; Yan Fan; Jianming Li; Xuehui Liu; Jie Shen; Yujing Hu; Xianghe Liao; He Wang; Chengyu Song; Wangxiao Li; et al. (BMC Medical Imaging, 2023)

Integrating reinforcement learning with deterministic learning for fault diagnosis of nonlinear systems. - Zejian Zhu; Weiming Wu; Tianrui Chen; Jingtao Hu; Cong Wang 007 (Neurocomputing, 2023)

Generalizing Teacher Networks for Effective Knowledge Distillation Across Student Architectures. - Kuluhan Binici; Weiming Wu; Tulika Mitra (BMVC, 2024)

Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2024. - Shiqi Yu 001; Weiming Wu; Jiacong Hu; Zepeng Wang 002; Jingjie Wang; Meng Zhang; Runsheng Wang; Yunfei Ni; Yongzhen Huang; Liang Wang 001; Md. Atiqur Rahman Ahad (IJCB, 2024)

Computationally Efficient Imitation Learning via K-Timestep Adaptive Action Approximation. - Yuchen Liang; Weiming Wu; Cong Wang; Yuehu Liu (IJCNN, 2024)

Explicit convergence relations for a class of discrete LTV systems and its application to performance analysis of deterministic learning. - Weiming Wu; Jinyuan Zhang; Jingtao Hu; Cong Wang 007 (J. Frankl. Inst., 2024)

Seizure detection via deterministic learning feature extraction. - Zirui Zhang; Weiming Wu; Chen Sun; Cong Wang 007 (Pattern Recognit., 2024)

Deterministic learning-based neural identification and knowledge fusion. - Weiming Wu; Jingtao Hu; Zejian Zhu; Fukai Zhang; Juanjuan Xu; Cong Wang 007 (Neural Networks, 2024)

Time series clustering of dynamical systems via deterministic learning. - Chen Sun; Weiming Wu; Zirui Zhang; Zhirui Li; Bing Ji; Cong Wang 007 (Int. J. Mach. Learn. Cybern., 2024)

New Results on Rapid Dynamical Pattern Recognition via Deterministic Learning From Sampling Sequences. - Weiming Wu; Jingtao Hu; Fukai Zhang; Cong Wang 007 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Real-Time Sleep Apnea Detection and Prediction From Single-Channel Airflow. - Zirui Zhang; Weiming Wu; Ziyu Fu; Zhuo Han; Jinyuan Zhang; Chen Sun; Dedong Ma; Cong Wang 007 (IEEE Trans. Instrum. Meas., 2025)

On Path to Multimodal Generalist: General-Level and General-Bench. - Hao Fei 001; Yuan Zhou 016; Juncheng Li 006; Xiangtai Li; Qingshan Xu 001; Bobo Li; Shengqiong Wu; Yaoting Wang; Junbao Zhou; Jiahao Meng; Qingyu Shi; Zhiyuan Zhou; et al. (CoRR, 2025)

NeSyGeo: A Neuro-Symbolic Framework for Multimodal Geometric Reasoning Data Generation. - Weiming Wu; Zi-kang Wang; Jin Ye; Zhi Zhou; Yu-Feng Li; Lan-Zhe Guo (CoRR, 2025)