Di Wang - RankMe

31 papers Journal 23Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Multimodal Industrial Fault Diagnosis With Attention-Driven Fusion Boosting Unimodal Performance. IEEE Trans Autom. Sci. Eng. Di Wang, Xinyu Pan, Yuanyuan Gao, Fugee Tsung, Fangyu Li
2025	J	`jnl`	A Neural Network-Based Survival Analysis Model Considering Censored Data for Failure Prediction. IEEE Trans Autom. Sci. Eng. Yuanyuan Gao, Shuo Li, Di Wang, Jianming Mao, Linhan Ouyang
2025	J	`jnl`	A Restricted-Learning Network With Observation Credibility Inference for Few-Shot Degradation Modeling. IEEE Trans Autom. Sci. Eng. Ying Wang, Fangyu Li, Di Wang, Wei Qin
2025	J	`jnl`	An Adversarial Branched Network for Degradation Modeling Under Multiple Failure Modes. IEEE Trans Autom. Sci. Eng. Di Wang, Xinyu Pan, Ershun Pan, Yanting Li
2025	J	`jnl`	Deep Learning-Based Sensor Selection for Failure Mode Recognition and Prognostics Under Time-Varying Operating Conditions. IEEE Trans Autom. Sci. Eng. Yuhui Wang, Andi Wang, Di Wang, Dong Wang
2025	J	`jnl`	Distribution-Agnostic Probabilistic Few-Shot Learning for Multimodal Recognition and Prediction. IEEE Trans Autom. Sci. Eng. Di Wang, Xiaochen Xian, Haidong Li, Dong Wang
2025	—	`conf`	Empowering PHM Applications with Time Series Foundation Models: A Unified Multi-Task Learning Approach. CASE Yongzi Yu, Feng Zhu, Di Wang, Fugee Tsung
2025	J	`jnl`	Partially Observable Online Nonparametric Monitoring of Spatiotemporally Correlated Data Streams. Technometrics Di Wang, Andi Wang, Xiaochen Xian, Yongxiang Li
2025	J	`jnl`	Periodic Gaussian Process Controlled B-Spline for Scalable Modeling of Irregularly Spaced Signals. IEEE Trans. Inf. Theory Yongxiang Li, YuanYuan Li, Di Wang
2025	—	`conf`	Quantify Uncertainty Beyond Covariate Shift in RUL Estimation by Conformal Prediction. CASE Shiyuan Piao, Ying Wang, Ruyi Huang, Di Wang, Fugee Tsung
2025	J	`jnl`	Weakly Supervised Deep Learning for Monitoring Sleep Apnea Severity Using Coarse-Grained Labels. IEEE Trans Autom. Sci. Eng. Xin Zan, Di Wang, Changyue Song, Feng Liu, Xiaochen Xian, Richard Berry
2024	J	`jnl`	A Latent Variable-Based Multitask Learning Approach for Degradation Modeling of Machines With Dependency and Heterogeneity. IEEE Trans. Instrum. Meas. Di Wang, Yuhui Wang, Xiaochen Xian
2024	J	`jnl`	An Adaptation-Aware Interactive Learning Approach for Multiple Operational Condition-Based Degradation Modeling. IEEE Trans. Neural Networks Learn. Syst. Di Wang, Ying Wang, Xiaochen Xian, Bin Cheng
2024	J	`jnl`	An Integrated Deep Learning-Based Data Fusion and Degradation Modeling Method for Improving Prognostics. IEEE Trans Autom. Sci. Eng. Di Wang, Kaibo Liu
2024	—	`conf`	Few-shot RUL Prediction with A Hypernetwork Structure Incorporating Uncertainty Quantification and Calibration. CASE Ying Wang, Fangyu Li, Di Wang
2024	J	`jnl`	Flexible Degradation Modeling via the Integration of Local Models and Importance Sampling. IEEE Trans. Instrum. Meas. Di Wang, Andi Wang, Changyue Song
2024	J	`jnl`	Joint Learning of Failure Mode Recognition and Prognostics for Degradation Processes. IEEE Trans Autom. Sci. Eng. Di Wang, Xiaochen Xian, Changyue Song
2024	J	`jnl`	Real-time Cyber-Physical Security Solution Leveraging an Integrated Learning-Based Approach. ACM Trans. Sens. Networks Di Wang, Fangyu Li, Kaibo Liu, Xi Zhang
2024	J	`jnl`	TCP-ARMA: A Tensor-Variate Time Series Forecasting Method. IEEE Trans Autom. Sci. Eng. Yu An, Di Wang, Lili Chen, Xi Zhang
2023	—	`conf`	A Control Chart for Monitoring Multivariate Spatiotemporal Correlated Data During Grain Storage. CASE Xingyu Wang, Di Wang
2023	—	`conf`	An Entropy- and Attention-Based Feature Extraction and Selection Network for Multi-Target Coupling Scenarios. CASE Yuhui Wang, Di Wang
2023	J	`jnl`	Distribution-Agnostic Few-Shot Industrial Fault Diagnosis via Adaptation-Aware Optimal Feature Transport. IEEE Trans. Ind. Informatics Ge Yu, Di Wang, Jinhai Liu, Xi Zhang
2023	J	`jnl`	Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams. Technometrics Xin Zan, Di Wang, Xiaochen Xian
2022	—	`conf`	A Data Fusion-Based LSTM Network for Degradation Modeling Under Multiple Operational Conditions. CASE Ying Wang, Di Wang
2022	J	`jnl`	A Generic Indirect Deep Learning Approach for Multisensor Degradation Modeling. IEEE Trans Autom. Sci. Eng. Di Wang, Kaibo Liu, Xi Zhang
2020	J	`jnl`	Spatiotemporal Multitask Learning for 3-D Dynamic Field Modeling. IEEE Trans Autom. Sci. Eng. Di Wang, Kaibo Liu, Xi Zhang, Hui Wang
2020	J	`jnl`	Spatiotemporal Thermal Field Modeling Using Partial Differential Equations With Time-Varying Parameters. IEEE Trans Autom. Sci. Eng. Di Wang, Kaibo Liu, Xi Zhang
2019	J	`jnl`	Dynamic Field Monitoring Based on Multitask Learning in Sensor Networks. Sensors Di Wang, Xi Zhang
2019	J	`jnl`	Modeling of a three-dimensional dynamic thermal field under grid-based sensor networks in grain storage. IISE Trans. Di Wang, Kaibo Liu, Xi Zhang
2017	—	`conf`	Modeling grain quality characteristics via dynamic models using sensing data. SII Di Wang, Xi Zhang
2015	—	`conf`	A prediction method for interior temperature of grain storage via dynamics models: A simulation study. CASE Di Wang, Xi Zhang