A systematic RFID application platform with integration capability for tour and exhibition. - Na Li; Wancheng Ni; Hong Cheng; Jie Tan 003 (RFID-TA, 2011)

RFID application in manufacturing: A case study on a pilot RFID project in household appliance production. - Zhiyuan Zhu; Jie Tan 003; He Ren; Wancheng Ni; Qiang Guan (Int. J. Comput. Integr. Manuf., 2012)

Mixed-reality simulation of RFID systems using iterated learning. - Hong Cheng; Yu Liu 078; Shing-Chi Cheung; Junfang Zeng; Jie Tan 003; Yiping Yang (Int. J. RF Technol. Res. Appl., 2012)

Back Projection Strategy for Solving Mode Mixing Problem. - Xiyuan Hu; Silong Peng; Jie Tan 003; Weiping Hu (Int. J. Wavelets Multiresolution Inf. Process., 2012)

Limitation of RFID data cleaning method - SMURF. - Hongsheng Zhao; Jie Tan 003; Zhiyuan Zhu (RFID-TA, 2013)

Modeling of integrated processes for coking flue gas desulfurization and denitrification based on RBFNN. - Yaning Li; Xuelei Wang; Jie Tan 003 (ICIS, 2016)

Optimal Setting for Coking Flue Gas Denitriation Process Indices Based on PCR-Multi-Case Fusion. - Yaning Li; Xuelei Wang; Xiwei Bai; Jie Tan 003; Chengbao Liu (CYBCONF, 2017)

Intelligent integrated coking flue gas indices prediction. - Yaning Li; Xuelei Wang; Jie Tan 003; Chengbao Liu; Xiwei Bai (SNPD, 2017)

Improved Weighted PLS for Quality-Relevant Fault Monitoring Based on Inner Matrix Similarity. - Xiwei Bai; Xuelei Wang; Jie Tan 003; Wei Sun; Zhiyong Zhang; Zhonghao Zhang (AIM, 2018)

Fault Diagnosis and Knowledge Extraction Using Fast Logical Analysis of Data with Multiple Rules Discovery Ability. - Xiwei Bai; Jie Tan 003; Xuelei Wang (ICIS, 2018)

Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data. - Chengbao Liu; Jie Tan 003; Heyuan Shi; Xuelei Wang (IEEE Access, 2018)

Day-Ahead Hourly Forecasting of Solar Generation Based on Cluster Analysis and Ensemble Model. - Cheng Pan; Jie Tan 003 (IEEE Access, 2019)

Integrated modeling of coking flue gas indices based on mechanism model and improved neural network. - Yaning Li; Xuelei Wang; Jie Tan 003 (Trans. Inst. Meas. Control, 2019)

Unsupervised Situational Assessment for Power Grid Voltage Stability Monitoring Based on Siamese Autoencoder and k-Means Clustering. - Xiwei Bai; Jie Tan 003 (ICAIS (1), 2020)

Probabilistic Prediction of Solar Generation Based on Stacked Autoencoder and Lower Upper Bound Estimation Method. - Cheng Pan; Jie Tan 003 (IJCNN, 2020)

Uncertainty Quantification of Bearing Remaining Useful Life Based on Convolutional Neural Network. - Huanjie Wang; Xiwei Bai; Jie Tan 003 (SSCI, 2020)

A data-driven decision-making optimization approach for inconsistent lithium-ion cell screening. - Chengbao Liu; Jie Tan 003; Xuelei Wang (J. Intell. Manuf., 2020)

Prediction intervals estimation of solar generation based on gated recurrent unit and kernel density estimation. - Cheng Pan; Jie Tan 003; Dandan Feng (Neurocomputing, 2021)

ACT: Adversarial Convolutional Transformer for Time Series Forecasting. - Yuan Li 062; Huanjie Wang; Jingwei Li; Chengbao Liu; Jie Tan 003 (IJCNN, 2022)

Deep prototypical networks based domain adaptation for fault diagnosis. - Huanjie Wang; Xiwei Bai; Jie Tan 003; Jiechao Yang (J. Intell. Manuf., 2022)

Cross-attention-map-based regularization for adversarial domain adaptation. - Jingwei Li; Huanjie Wang; Ke Wu; Chengbao Liu; Jie Tan 003 (Neural Networks, 2022)

Temporal Hypergraph Attention Network for Silicon Content Prediction in Blast Furnace. - Chengbao Liu; Jie Tan 003; Jingwei Li; Yuan Li 062; Huanjie Wang (IEEE Trans. Instrum. Meas., 2022)

Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis. - Huanjie Wang; Xiwei Bai; Sihan Wang 001; Jie Tan 003; Chengbao Liu (IEEE Trans. Instrum. Meas., 2022)

Time Series Forecasting Model Based on Domain Adaptation and Shared Attention. - Yuan Li 062; Jingwei Li; Chengbao Liu; Jie Tan 003 (IEA/AIE (2), 2023)

Exploring Explicitly Disentangled Features for Domain Generalization. - Jingwei Li; Yuan Li 062; Huanjie Wang; Chengbao Liu; Jie Tan 003 (IEEE Trans. Circuits Syst. Video Technol., 2023)

ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model. - Xuanqing Yu; Wangtao Sun; Jingwei Li; Kang Liu 001; Chengbao Liu; Jie Tan 003 (ACL (Findings), 2024)

Category-Augmented Net for Point Cloud Semantic Segmentation. - Haotian Wang; Chengbao Liu; Jie Tan 003 (CRC, 2024)

CorrDCN: Decomposed Convolutional Network with Seasonal Autocorrelation 2D-Variation Modeling for Time Series Forecasting. - Jiaqi Chu; Chengbao Liu; Jingwei Li; Yuan Li 062; Jie Tan 003 (IJCNN, 2024)

Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization. - Jingwei Li; Yuan Li 062; Jie Tan 003; Chengbao Liu (Neural Networks, 2024)

It takes two: Dual Branch Augmentation Module for domain generalization. - Jingwei Li; Yuan Li 062; Jie Tan 003; Chengbao Liu (Neural Networks, 2024)

Temporal Double Graph Convolutional Network for CO and CO Prediction in Blast Furnace Gas. - Tingkun Zhang; Chengbao Liu; Zhenjie Liu; Jie Tan 003; Mutellip Ahmat (IEEE Trans. Instrum. Meas., 2024)

Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions. - Yuan Li 062; Jingwei Li; Huanjie Wang; Chengbao Liu; Jie Tan 003 (Reliab. Eng. Syst. Saf., 2024)

Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis. - Huanjie Wang; Yuan Li 062; Xiwei Bai; Jingwei Li; Jie Tan 003; Chengbao Liu (J. Intell. Manuf., 2024)

Compression and restoration: exploring elasticity in continual test-time adaptation. - Jingwei Li; Chengbao Liu; Xiwei Bai; Jie Tan 003; Jiaqi Chu; Yudong Wang (Mach. Learn., 2025)

Denoising Multiscale Spectral Graph Wavelet Neural Networks for Gas Utilization Ratio Prediction in Blast Furnace. - Chengbao Liu; Jingwei Li; Yuan Li 062; Jie Tan 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)