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ORCIDJie Tan 0003
Person information
- affiliation: Chinese Academy of Sciences, Institute of Automation, Beijing, China
- affiliation: University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
Other persons with the same name
- Jie Tan — disambiguation page
- Jie Tan 0001
![[0000-0002-7947-0333]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7947-0333")
— Google DeepMind, Mountain View, CA, USA (and 1 more) - Jie Tan 0002 — Intelligent Game and Decision Lab, Beijing, China (and 2 more)
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2020 – today
- 2025
[j20]Jingwei Li, Chengbao Liu, Xiwei Bai, Jie Tan, Jiaqi Chu, Yudong Wang:
Compression and restoration: exploring elasticity in continual test-time adaptation. Mach. Learn. 114(4): 104 (2025)- [j19]Chengbao Liu, Jingwei Li, Yuan Li, Jie Tan:
Denoising Multiscale Spectral Graph Wavelet Neural Networks for Gas Utilization Ratio Prediction in Blast Furnace. IEEE Trans. Neural Networks Learn. Syst. 36(6): 11369-11383 (2025) - 2024
- [j18]Huanjie Wang, Yuan Li, Xiwei Bai, Jingwei Li, Jie Tan, Chengbao Liu:
Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis. J. Intell. Manuf. 35(7): 3131-3148 (2024) - [j17]Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu:
Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization. Neural Networks 171: 186-199 (2024) - [j16]Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu:
It takes two: Dual Branch Augmentation Module for domain generalization. Neural Networks 172: 106094 (2024) - [j15]Yuan Li, Jingwei Li, Huanjie Wang, Chengbao Liu, Jie Tan:
Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions. Reliab. Eng. Syst. Saf. 242: 109748 (2024) - [j14]Tingkun Zhang, Chengbao Liu, Zhenjie Liu, Jie Tan, Mutellip Ahmat:
Temporal Double Graph Convolutional Network for CO and CO Prediction in Blast Furnace Gas. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [c15]Xuanqing Yu, Wangtao Sun, Jingwei Li, Kang Liu, Chengbao Liu, Jie Tan:
ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model. ACL (Findings) 2024: 6335-6350 - [c14]Haotian Wang, Chengbao Liu, Jie Tan:
Category-Augmented Net for Point Cloud Semantic Segmentation. CRC 2024: 1-5 - [c13]Jiaqi Chu, Chengbao Liu, Jingwei Li, Yuan Li, Jie Tan:
CorrDCN: Decomposed Convolutional Network with Seasonal Autocorrelation 2D-Variation Modeling for Time Series Forecasting. IJCNN 2024: 1-8 - [i1]Xuanqing Yu, Wangtao Sun, Jingwei Li, Kang Liu, Chengbao Liu, Jie Tan:
ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model. CoRR abs/2408.07840 (2024) - 2023
- [j13]Jingwei Li, Yuan Li, Huanjie Wang, Chengbao Liu, Jie Tan:
Exploring Explicitly Disentangled Features for Domain Generalization. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6360-6373 (2023) - [c12]Yuan Li, Jingwei Li, Chengbao Liu, Jie Tan:
Time Series Forecasting Model Based on Domain Adaptation and Shared Attention. IEA/AIE (2) 2023: 215-225 - 2022
- [j12]Huanjie Wang, Xiwei Bai, Jie Tan, Jiechao Yang:
Deep prototypical networks based domain adaptation for fault diagnosis. J. Intell. Manuf. 33(4): 973-983 (2022) - [j11]Jingwei Li, Huanjie Wang, Ke Wu, Chengbao Liu, Jie Tan:
Cross-attention-map-based regularization for adversarial domain adaptation. Neural Networks 145: 128-138 (2022) - [j10]Chengbao Liu, Jie Tan, Jingwei Li, Yuan Li, Huanjie Wang:
Temporal Hypergraph Attention Network for Silicon Content Prediction in Blast Furnace. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j9]Huanjie Wang, Xiwei Bai, Sihan Wang, Jie Tan, Chengbao Liu:
Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [c11]Yuan Li, Huanjie Wang, Jingwei Li, Chengbao Liu, Jie Tan:
ACT: Adversarial Convolutional Transformer for Time Series Forecasting. IJCNN 2022: 1-8 - 2021
- [j8]Cheng Pan, Jie Tan, Dandan Feng:
Prediction intervals estimation of solar generation based on gated recurrent unit and kernel density estimation. Neurocomputing 453: 552-562 (2021) - 2020
- [j7]Chengbao Liu, Jie Tan, Xuelei Wang:
A data-driven decision-making optimization approach for inconsistent lithium-ion cell screening. J. Intell. Manuf. 31(4): 833-845 (2020) - [c10]Xiwei Bai, Jie Tan:
Unsupervised Situational Assessment for Power Grid Voltage Stability Monitoring Based on Siamese Autoencoder and k-Means Clustering. ICAIS (1) 2020: 510-521 - [c9]Cheng Pan, Jie Tan:
Probabilistic Prediction of Solar Generation Based on Stacked Autoencoder and Lower Upper Bound Estimation Method. IJCNN 2020: 1-8 - [c8]Huanjie Wang, Xiwei Bai, Jie Tan:
Uncertainty Quantification of Bearing Remaining Useful Life Based on Convolutional Neural Network. SSCI 2020: 2893-2900
2010 – 2019
- 2019
- [j6]Cheng Pan, Jie Tan:
Day-Ahead Hourly Forecasting of Solar Generation Based on Cluster Analysis and Ensemble Model. IEEE Access 7: 112921-112930 (2019) - [j5]Yaning Li, Xuelei Wang, Jie Tan:
Integrated modeling of coking flue gas indices based on mechanism model and improved neural network. Trans. Inst. Meas. Control 41(1): 85-96 (2019) - 2018
- [j4]Chengbao Liu, Jie Tan, Heyuan Shi, Xuelei Wang:
Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data. IEEE Access 6: 59001-59014 (2018) - [c7]Xiwei Bai, Xuelei Wang, Jie Tan, Wei Sun, Zhiyong Zhang, Zhonghao Zhang:
Improved Weighted PLS for Quality-Relevant Fault Monitoring Based on Inner Matrix Similarity. AIM 2018: 194-200 - [c6]Xiwei Bai, Jie Tan, Xuelei Wang:
Fault Diagnosis and Knowledge Extraction Using Fast Logical Analysis of Data with Multiple Rules Discovery Ability. ICIS 2018: 412-421 - 2017
- [c5]Yaning Li, Xuelei Wang, Xiwei Bai, Jie Tan, Chengbao Liu:
Optimal Setting for Coking Flue Gas Denitriation Process Indices Based on PCR-Multi-Case Fusion. CYBCONF 2017: 1-7 - [c4]Yaning Li, Xuelei Wang, Jie Tan, Chengbao Liu, Xiwei Bai:
Intelligent integrated coking flue gas indices prediction. SNPD 2017: 39-45 - 2016
- [c3]Yaning Li, Xuelei Wang, Jie Tan:
Modeling of integrated processes for coking flue gas desulfurization and denitrification based on RBFNN. ICIS 2016: 1-6 - 2013
- [c2]Hongsheng Zhao, Jie Tan, Zhiyuan Zhu:
Limitation of RFID data cleaning method - SMURF. RFID-TA 2013: 1-4 - 2012
- [j3]Zhiyuan Zhu, Jie Tan, He Ren, Wancheng Ni, Qiang Guan:
RFID application in manufacturing: A case study on a pilot RFID project in household appliance production. Int. J. Comput. Integr. Manuf. 25(1): 3-10 (2012) - [j2]Hong Cheng, Yu Liu, Shing-Chi Cheung, Junfang Zeng, Jie Tan, Yiping Yang:
Mixed-reality simulation of RFID systems using iterated learning. Int. J. RF Technol. Res. Appl. 3(4): 219-242 (2012) - [j1]Xiyuan Hu, Silong Peng, Jie Tan, Weiping Hu:
Back Projection Strategy for Solving Mode Mixing Problem. Int. J. Wavelets Multiresolution Inf. Process. 10(4) (2012) - 2011
- [c1]Na Li, Wancheng Ni, Hong Cheng, Jie Tan:
A systematic RFID application platform with integration capability for tour and exhibition. RFID-TA 2011: 37-44
Coauthor Index
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