SEMSim: A Distributed Architecture for Multi-scale Traffic Simulation. - Yadong Xu; Heiko Aydt; Michael Lees (PADS, 2012)

Fuzzy moving fast terminal sliding mode control for robotic manipulators. - Haijun Shi; Linfang Qian; Yadong Xu; Longmiao Chen (ROBIO, 2012)

A Multi-threaded Execution Model for the Agent-Based SEMSim Traffic Simulation. - Heiko Aydt; Yadong Xu; Michael Lees; Alois C. Knoll (AsiaSim, 2013)

Carpet cloak from optical conformal mapping. - Hui Li; Yadong Xu; Qiannan Wu; Huanyang Chen (Sci. China Inf. Sci., 2013)

Efficient graph-based dynamic load-balancing for parallel large-scale agent-based traffic simulation. - Yadong Xu; Wentong Cai 001; Heiko Aydt; Michael Lees (WSC, 2014)

An Asynchronous Synchronization Strategy for Parallel Large-scale Agent-based Traffic Simulations. - Yadong Xu; Wentong Cai 001; Heiko Aydt; Michael Lees; Daniel Zehe (SIGSIM-PADS, 2015)

Dynamic modeling and parametric optimization of ammunition ramming. - Tong Lin; Linfang Qian; Yadong Xu; Taisu Liu (ICIA, 2016)

Kinematic error modeling and analysis of the loading device based on multi-body theory and stream of variation theory. - Taisu Liu; Linfang Qian; Yadong Xu; Longmiao Chen (ICIA, 2016)

A Graph Partitioning Algorithm for Parallel Agent-Based Road Traffic Simulation. - Yadong Xu; Wentong Cai 001; David Eckhoff; Suraj Nair 002; Alois C. Knoll (SIGSIM-PADS, 2017)

Relaxing Synchronization in Parallel Agent-Based Road Traffic Simulation. - Yadong Xu; Wentong Cai 001; Heiko Aydt; Michael Lees; Daniel Zehe (ACM Trans. Model. Comput. Simul., 2017)

Reducing Synchronization Overhead with Computation Replication in Parallel Agent-Based Road Traffic Simulation. - Yadong Xu; Vaisagh Viswanathan; Wentong Cai 001 (IEEE Trans. Parallel Distributed Syst., 2017)

Load-balancing and synchronisation for parallel agent-based road traffic simulation - Yadong Xu (2017)

Fast-Forwarding Agent States to Accelerate Microscopic Traffic Simulations. - Philipp Andelfinger; Yadong Xu; Wentong Cai 001; David Eckhoff; Alois C. Knoll (SIGSIM-PADS, 2018)

Classification of ADHD with bi-objective optimization. - Lizhen Shao; Yadong Xu; Dongmei Fu (J. Biomed. Informatics, 2018)

Research on Modern Design Technology of the Recuperator Combined With Neural Network. - Xiaoyan Gu; Liu Yang; Yadong Xu; Yan Zou (CACRE, 2019)

Size Optimization Design for Cantilever Structure of an Ammunition Supply Truck Based on Optistruct. - Jianhui Sheng; Yadong Xu; Jun Han; Zhiyuan Jia (CACRE, 2019)

Deep Reinforcement Learning for Router Selection in Network With Heavy Traffic. - Ruijin Ding; Yadong Xu; Feifei Gao; Xuemin Shen; Wen Wu 003 (IEEE Access, 2019)

Learning to Design Coupons in Online Advertising Markets. - Weiran Shen; Pingzhong Tang; Xun Wang; Yadong Xu; Xiwang Yang (AAMAS, 2020)

Optimized Cost per Mille in Feeds Advertising. - Pingzhong Tang; Xun Wang; Zihe Wang 001; Yadong Xu; Xiwang Yang (AAMAS, 2020)

Incremental Learning Algorithm of Data Complexity Based on KNN Classifier. - Jie Li; Yaxu Xue; Yadong Xu (CcS, 2020)

Multi-Thread State Update Schemes for Microscopic Traffic Simulation. - Wen Jun Tan; Philipp Andelfinger; Wentong Cai 001; Alois C. Knoll; Yadong Xu; David Eckhoff (WSC, 2020)

Multi-focus image fusion using learning based matting with sum of the Gaussian-based modified Laplacian. - Yadong Xu; Beibei Sun; Xiaoan Yan; Jianzhong Hu; Minglong Chen (Digit. Signal Process., 2020)

Three-Dimensional Device-Free Localization for Vehicle. - Manyi Wang; Jiaxing Yang; Binghua Huang; Yuan Yang; Yadong Xu (Sensors, 2020)

Fidelity and Performance of State Fast-forwarding in Microscopic Traffic Simulations. - Philipp Andelfinger; Yadong Xu; David Eckhoff; Wentong Cai 001; Alois C. Knoll (ACM Trans. Model. Comput. Simul., 2020)

Coupon Design in Advertising Systems. - Weiran Shen; Pingzhong Tang; Xun Wang; Yadong Xu; Xiwang Yang (AAAI, 2021)

Multiscale Dense Convolutional Networks for Intelligent Fault Diagnosis of Rolling Bearing. - Yadong Xu; Beibei Sun (DSA, 2021)

Application of Generalized Composite Multiscale Lempel-Ziv Complexity in Identifying Wind Turbine Gearbox Faults. - Xiaoan Yan; Daoming She; Yadong Xu; Minping Jia (Entropy, 2021)

Intelligent Fault Diagnosis of Rolling-Element Bearings Using a Self-Adaptive Hierarchical Multiscale Fuzzy Entropy. - Xiaoan Yan; Yadong Xu; Minping Jia (Entropy, 2021)

A Bearing Fault Diagnosis Method Based on PAVME and MEDE. - Xiaoan Yan; Yadong Xu; Daoming She; Wan Zhang (Entropy, 2021)

A novel multi-scale fusion framework for detail-preserving low-light image enhancement. - Yadong Xu; Cheng Yang; Beibei Sun; Xiaoan Yan; Minglong Chen (Inf. Sci., 2021)

Deep regularized variational autoencoder for intelligent fault diagnosis of rotor-bearing system within entire life-cycle process. - Xiaoan Yan; Daoming She; Yadong Xu; Minping Jia (Knowl. Based Syst., 2021)

Reliable Fault Diagnosis of Bearings Using an Optimized Stacked Variational Denoising Auto-Encoder. - Xiaoan Yan; Yadong Xu; Daoming She; Wan Zhang (Entropy, 2022)

Trajectory Design and Access Control for Air-Ground Coordinated Communications System With Multiagent Deep Reinforcement Learning. - Ruijin Ding; Yadong Xu; Feifei Gao; Xuemin Shen (IEEE Internet Things J., 2022)

Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery. - Yadong Xu; Xiaoan Yan; Ke Feng; Xin Sheng; Beibei Sun; Zheng Liu 002 (Reliab. Eng. Syst. Saf., 2022)

Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions. - Yadong Xu; Xiaoan Yan; Beibei Sun; Zheng Liu 002 (Reliab. Eng. Syst. Saf., 2022)

Dually attentive multiscale networks for health state recognition of rotating machinery. - Yadong Xu; Xiaoan Yan; Beibei Sun; Zheng Liu 002 (Reliab. Eng. Syst. Saf., 2022)

A Novel Variational Model for Detail-Preserving Low-Illumination Image Enhancement. - Yadong Xu; Beibei Sun (Signal Process., 2022)

Dual-Channel Supply Chain Pricing Decisions under Discounted Advertising Value. - Ke Yan; Shuai Liu; Min Zuo; Jiamin Zheng; Yadong Xu (Syst., 2022)

Multireceptive Field Denoising Residual Convolutional Networks for Fault Diagnosis. - Yadong Xu; Xiaoan Yan; Beibei Sun; Jinhui Zhai; Zheng Liu 002 (IEEE Trans. Ind. Electron., 2022)

Hierarchical Multiscale Dense Networks for Intelligent Fault Diagnosis of Electromechanical Systems. - Yadong Xu; Xiaoan Yan; Beibei Sun; Zheng Liu 002 (IEEE Trans. Instrum. Meas., 2022)

Uncertainty-guided Learning for Improving Image Manipulation Detection. - Kaixiang Ji; Feng Chen 047; Xin Guo 010; Yadong Xu; Jian Wang 108; Jingdong Chen (ICCV, 2023)

Global contextual multiscale fusion networks for machine health state identification under noisy and imbalanced conditions. - Yadong Xu; Xiaoan Yan; Ke Feng; Yongchao Zhang 004; Xiaoli Zhao; Beibei Sun; Zheng Liu 002 (Reliab. Eng. Syst. Saf., 2023)

Joint Threshold Learning Convolutional Networks for Intelligent Fault Diagnosis Under Nonstationary Conditions. - Sheng Li; Yadong Xu; Ke Feng; Yulin Wang 004; Beibei Sun; Xiaoan Yan; Xin Sheng; Ke Zhang; Jinde Zheng; Qing Ni (IEEE Trans. Instrum. Meas., 2023)

Deep order-wavelet convolutional variational autoencoder for fault identification of rolling bearing under fluctuating speed conditions. - Xiaoan Yan; Daoming She; Yadong Xu (Expert Syst. Appl., 2023)

Retailing and ordering strategies for online apparel retailers facing bracketing purchase behaviour. - Yadong Xu; Guowei Hua; T. C. E. Cheng; Tsan-Ming Choi; Yisong Li; Shuai Liu (Int. J. Prod. Res., 2023)

CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery. - Yadong Xu; Ke Feng; Xiaoan Yan; Ruqiang Yan 001; Qing Ni; Beibei Sun; Zihao Lei; Yongchao Zhang 004; Zheng Liu 002 (Inf. Fusion, 2023)

IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions. - Sheng Li; Jinchen Ji; Yadong Xu; Xiuquan Sun; Ke Feng; Beibei Sun; Yulin Wang; Fengshou Gu; Ke Zhang; Qing Ni (Reliab. Eng. Syst. Saf., 2023)

Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning. - Yongchao Zhang 004; Kun Yu 003; Zihao Lei; Jian Ge 002; Yadong Xu; Zhixiong Li 001; Zhaohui Ren; Ke Feng (Expert Syst. Appl., 2023)

Digital twin-driven focal modulation-based convolutional network for intelligent fault diagnosis. - Sheng Li; Qiubo Jiang; Yadong Xu; Ke Feng; Yulin Wang; Beibei Sun; Xiaoan Yan; Xin Sheng; Ke Zhang; Qing Ni (Reliab. Eng. Syst. Saf., 2023)

Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms. - Yadong Xu; Bonan Ni; Weiran Shen; Xun Wang; Zichen Wang; Yinsong Xue; Pingzhong Tang (AAAI, 2024)

Digital twin-assisted interpretable transfer learning: A novel wavelet-based framework for intelligent fault diagnostics from simulated domain to real industrial domain. - Sheng Li; Qiubo Jiang; Yadong Xu; Ke Feng; Zhiheng Zhao; Beibei Sun; George Q. Huang (Adv. Eng. Informatics, 2024)

Multi-view contrastive learning framework for tool wear detection with insufficient annotated data. - Rui Shu; Yadong Xu; Jianliang He; Xiaolong Yang; Zhiheng Zhao; George Q. Huang (Adv. Eng. Informatics, 2024)

Digital twin-driven discriminative graph learning networks for cross-domain bearing fault recognition. - Yadong Xu; Qiubo Jiang; Sheng Li; Zhiheng Zhao; Beibei Sun; George Q. Huang (Comput. Ind. Eng., 2024)

Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout. - Xinzhe Cao; Yadong Xu; Xiaofeng Yang (CoRR, 2024)

Cross-modal zero-sample diagnosis framework utilizing non-contact sensing data fusion. - Sheng Li; Ke Feng; Yadong Xu; Yongbo Li; Qing Ni; Ke Zhang; Yulin Wang; Weiping Ding 001 (Inf. Fusion, 2024)

CDTFAFN: A novel coarse-to-fine dual-scale time-frequency attention fusion network for machinery vibro-acoustic fault diagnosis. - Xiaoan Yan; Dong Jiang; Ling Xiang; Yadong Xu; Yulin Wang (Inf. Fusion, 2024)

Gear Fault Diagnosis Method Based on the Optimized Graph Neural Networks. - Bin Wang; Yadong Xu; Manyi Wang; Yanze Li (IEEE Trans. Instrum. Meas., 2024)

Multiattention-Based Feature Aggregation Convolutional Networks With Dual Focal Loss for Fault Diagnosis of Rotating Machinery Under Data Imbalance Conditions. - Yadong Xu; Sheng Li; Xiaoan Yan; Jianliang He; Qing Ni; Yuxin Sun; Yulin Wang 004 (IEEE Trans. Instrum. Meas., 2024)

Imbalanced Learning for Gearbox Fault Detection via Attention-Based Multireceptive Field Convolutional Neural Networks With an Adaptive Label Regulation Loss. - Yadong Xu; Rui Shu; Sheng Li; Ke Feng; Xiaolong Yang; Zhiheng Zhao; George Q. Huang (IEEE Trans. Instrum. Meas., 2024)

Cross-Modal Fusion Convolutional Neural Networks With Online Soft-Label Training Strategy for Mechanical Fault Diagnosis. - Yadong Xu; Ke Feng; Xiaoan Yan; Xin Sheng; Beibei Sun; Zheng Liu 002; Ruqiang Yan 001 (IEEE Trans. Ind. Informatics, 2024)

A small-sample bearing fault diagnosis method based on interpretable component energy features. - Bin Wang; Manyi Wang; Yadong Xu; Yilin Jiang; Ming Li; Zhen Li (CACML, 2025)

CELAN: An efficient layer aggregation network based on the attention mechanism and large-kernel architecture for small-object detection tasks. - Zhoutian Xu; Yadong Xu; Mingming Wang; Liuxuan Wei; Junhua Chen; Manyi Wang (Knowl. Based Syst., 2025)

Multiview Contrastive Shapelet Learning: A Novel Semi-Supervised Approach for Explainable Machine Fault Diagnosis With Insufficient Annotated Data. - Zhicheng Wang; Jinchen Ji; Yadong Xu; Sheng Li; Beibei Sun; Xiaolong Yang (IEEE Trans. Instrum. Meas., 2025)

Multiperspective Temporal Pooling Convolutional Neural Networks for Fault Diagnosis of Mechanical Transmission Systems. - Yadong Xu; Sheng Li; Ke Feng; Beibei Sun; Xiaolong Yang; Linlin Kou; Zhiheng Zhao; George Q. Huang (IEEE Trans. Instrum. Meas., 2025)

Composite Neuro-Fuzzy System-Guided Cross-Modal Zero-Sample Diagnostic Framework Using Multisource Heterogeneous Noncontact Sensing Data. - Sheng Li; Jinchen Ji; Ke Feng; Ke Zhang; Qing Ni; Yadong Xu (IEEE Trans. Fuzzy Syst., 2025)