Training restricted Boltzmann Machine with dynamic learning rate. - Linkai Luo; Yudan Wang; Hong Peng; Zhimin Tang; Shiyang You; Xiaoqin Huang (ICCSE, 2016)

Finding the clusters with potential value in financial time series based on agglomerative hierarchical clustering. - Shiyang You; Yudan Wang; Linkai Luo; Hong Peng (ICCSE, 2016)

Study on correction of daily precipitation data of the Qinghai-Tibetan plateau with machine learning models. - Chen Ning; Yudan Wang; Zhuotong Nan; Hao Chen; Canran Liu (IGARSS, 2016)

Correction of daily precipitation data of ITPCAS dataset over the Qinghai-Tibetan Plateau with KNN model. - Yudan Wang; Zhuotong Nan; Hao Chen; Xiaobo Wu (IGARSS, 2016)

Edge Selection-Based Low Complexity Detection Scheme for SCMA System. - Yudan Wang; Ling Qiu (VTC Fall, 2016)

A low dose and in-vivo imaging system based on equally sloped tomography. - Guangzhao Zhou; Guohao Du; Yudan Wang; Dadong Wang; Tiqiao Xiao (ISBI, 2017)

An Efficient Low Complexity Gaussian Approximation-Based Scheme for SCMA Detection. - Yudan Wang; Ling Qiu; Xinmin Li (VTC Fall, 2017)

Horizontal Directional Drilling-Length Detection Technology While Drilling Based on Bi-Electro-Magnetic Sensing. - Yudan Wang; Guojun Wen; Han Chen (Sensors, 2017)

An alternate method between generative objective and discriminative objective in training classification Restricted Boltzmann Machine. - Linkai Luo; Songfei Zhang; Yudan Wang; Hong Peng (Knowl. Based Syst., 2018)

Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model. - Shuang Mei; Yudan Wang; Guojun Wen (Sensors, 2018)

Automated Inspection of Defects in Optical Fiber Connector End Face Using Novel Morphology Approaches. - Shuang Mei; Yudan Wang; Guojun Wen; Yang Hu (Sensors, 2018)

Enhanced Automated Guidance System for Horizontal Auger Boring Based on Image Processing. - Lingling Wu; Guojun Wen; Yudan Wang; Lei Huang; Jiang Zhou (Sensors, 2018)

Transgender Community Sentiment Analysis from Social Media Data: A Natural Language Processing Approach. - Mengzhe Li; Yudan Wang; Ying Zhao; Zhixiang Li (CoRR, 2020)

An Enhanced Detection System of Drill Rod Bending Degree Based on Two-Dimensional Laser. - Lingling Wu; Guojun Wen; Yudan Wang; Xinjian Xu (Sensors, 2020)

A Novel Method Based on Deep Convolutional Neural Networks for Wafer Semiconductor Surface Defect Inspection. - Guojun Wen; Zhijun Gao; Qi Cai; Yudan Wang; Shuang Mei (IEEE Trans. Instrum. Meas., 2020)

Research on Software Design of Intelligent Sensor Robot System Based on Multidata Fusion. - Fenglang Wu; Xinran Liu; Yudan Wang (J. Sensors, 2021)

Data-Driven Robust Multi-Agent Reinforcement Learning. - Yudan Wang; Yue Wang 068; Yi Zhou 017; Alvaro Velasquez; Shaofeng Zou (MLSP, 2022)

Effect of artificial intelligence auxiliary equipment in the process of cognitive learning. - Fenglang Wu; Xinran Liu; Yudan Wang (Neural Comput. Appl., 2022)

Modelling Permafrost Characteristics and Its Relationship with Environmental Constraints in the Gaize Area, Qinghai-Tibet Plateau, China. - Yudan Wang; Hao Chen; Zhuotong Nan; Zhihai Shang (Remote. Sens., 2022)

Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation. - Yudan Wang; Yue Wang 068; Yi Zhou 017; Shaofeng Zou (ICML, 2024)

Model-Free Robust Reinforcement Learning with Sample Complexity Analysis. - Yudan Wang; Shaofeng Zou; Yue Wang 068 (UAI, 2024)

Finite-Time Analysis for Conflict-Avoidant Multi-Task Reinforcement Learning. - Yudan Wang; Peiyao Xiao; Hao Ban; Kaiyi Ji; Shaofeng Zou (CoRR, 2024)

Recent Development in Intelligent Compaction for Asphalt Pavement Construction: Leveraging Smart Sensors and Machine Learning. - Yudan Wang; Jue Li; Xinqiang Zhang; Yong-Sheng Yao; Yi Peng (Sensors, 2024)

Application of medical clinic system using improved neural network-based image segmentation technique. - Fenglang Wu; Xinran Liu; Yudan Wang; Xiaoliang Li; Ming Zhou (Neural Comput. Appl., 2025)

Theoretical Study of Conflict-Avoidant Multi-Objective Reinforcement Learning. - Yudan Wang; Peiyao Xiao; Hao Ban; Kaiyi Ji; Shaofeng Zou (IEEE Trans. Inf. Theory, 2025)