Jie Tan - RankMe

38 papers B 3C 3Journal 23Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A$^{2}$RA-NSMTSllm: Adversarially Aligning Retrieval-Augmented LLMs for Nonstationary Multivariate Time Series Forecasting. IEEE Trans. Ind. Informatics Jiaqi Chu, Chengbao Liu, Xiwei Bai, Jie Tan
2026	J	`jnl`	Granger-TSllm: Granger causality enhanced LLMs with residual-quantized tokenizer for multivariate time series forecasting. Neural Networks Jiaqi Chu, Chengbao Liu, Xiwei Bai, Yuan Li, Jie Tan
2025	J	`jnl`	Compression and restoration: exploring elasticity in continual test-time adaptation. Mach. Learn. Jingwei Li, Chengbao Liu, Xiwei Bai, Jie Tan, Jiaqi Chu, Yudong Wang
2025	J	`jnl`	Denoising Multiscale Spectral Graph Wavelet Neural Networks for Gas Utilization Ratio Prediction in Blast Furnace. IEEE Trans. Neural Networks Learn. Syst. Chengbao Liu, Jingwei Li, Yuan Li, Jie Tan
2024	J	`jnl`	Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization. Neural Networks Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu
2024	—	`conf`	Category-Augmented Net for Point Cloud Semantic Segmentation. CRC Haotian Wang, Chengbao Liu, Jie Tan
2024	B	`conf`	CorrDCN: Decomposed Convolutional Network with Seasonal Autocorrelation 2D-Variation Modeling for Time Series Forecasting. IJCNN Jiaqi Chu, Chengbao Liu, Jingwei Li, Yuan Li, Jie Tan
2024	J	`jnl`	It takes two: Dual Branch Augmentation Module for domain generalization. Neural Networks Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu
2024	J	`jnl`	Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions. Reliab. Eng. Syst. Saf. Yuan Li, Jingwei Li, Huanjie Wang, Chengbao Liu, Jie Tan
2024	J	`jnl`	Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis. J. Intell. Manuf. Huanjie Wang, Yuan Li, Xiwei Bai, Jingwei Li, Jie Tan, Chengbao Liu
2024	—	`conf`	ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model. ACL (Findings) Xuanqing Yu, Wangtao Sun, Jingwei Li, Kang Liu, Chengbao Liu, Jie Tan
2024	J	`jnl`	ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model. CoRR Xuanqing Yu, Wangtao Sun, Jingwei Li, Kang Liu, Chengbao Liu, Jie Tan
2024	J	`jnl`	Temporal Double Graph Convolutional Network for CO and CO Prediction in Blast Furnace Gas. IEEE Trans. Instrum. Meas. Tingkun Zhang, Chengbao Liu, Zhenjie Liu, Jie Tan, Mutellip Ahmat
2023	J	`jnl`	Exploring Explicitly Disentangled Features for Domain Generalization. IEEE Trans. Circuits Syst. Video Technol. Jingwei Li, Yuan Li, Huanjie Wang, Chengbao Liu, Jie Tan
2023	—	`conf`	Time Series Forecasting Model Based on Domain Adaptation and Shared Attention. IEA/AIE (2) Yuan Li, Jingwei Li, Chengbao Liu, Jie Tan
2022	B	`conf`	ACT: Adversarial Convolutional Transformer for Time Series Forecasting. IJCNN Yuan Li, Huanjie Wang, Jingwei Li, Chengbao Liu, Jie Tan
2022	J	`jnl`	Cross-attention-map-based regularization for adversarial domain adaptation. Neural Networks Jingwei Li, Huanjie Wang, Ke Wu, Chengbao Liu, Jie Tan
2022	J	`jnl`	Deep prototypical networks based domain adaptation for fault diagnosis. J. Intell. Manuf. Huanjie Wang, Xiwei Bai, Jie Tan, Jiechao Yang
2022	J	`jnl`	Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis. IEEE Trans. Instrum. Meas. Huanjie Wang, Xiwei Bai, Sihan Wang, Jie Tan, Chengbao Liu
2022	J	`jnl`	Temporal Hypergraph Attention Network for Silicon Content Prediction in Blast Furnace. IEEE Trans. Instrum. Meas. Chengbao Liu, Jie Tan, Jingwei Li, Yuan Li, Huanjie Wang
2021	J	`jnl`	Prediction intervals estimation of solar generation based on gated recurrent unit and kernel density estimation. Neurocomputing Cheng Pan, Jie Tan, Dandan Feng
2020	J	`jnl`	A data-driven decision-making optimization approach for inconsistent lithium-ion cell screening. J. Intell. Manuf. Chengbao Liu, Jie Tan, Xuelei Wang
2020	B	`conf`	Probabilistic Prediction of Solar Generation Based on Stacked Autoencoder and Lower Upper Bound Estimation Method. IJCNN Cheng Pan, Jie Tan
2020	—	`conf`	Uncertainty Quantification of Bearing Remaining Useful Life Based on Convolutional Neural Network. SSCI Huanjie Wang, Xiwei Bai, Jie Tan
2020	—	`conf`	Unsupervised Situational Assessment for Power Grid Voltage Stability Monitoring Based on Siamese Autoencoder and k-Means Clustering. ICAIS (1) Xiwei Bai, Jie Tan
2019	J	`jnl`	Day-Ahead Hourly Forecasting of Solar Generation Based on Cluster Analysis and Ensemble Model. IEEE Access Cheng Pan, Jie Tan
2019	J	`jnl`	Integrated modeling of coking flue gas indices based on mechanism model and improved neural network. Trans. Inst. Meas. Control Yaning Li, Xuelei Wang, Jie Tan
2018	C	`conf`	Fault Diagnosis and Knowledge Extraction Using Fast Logical Analysis of Data with Multiple Rules Discovery Ability. ICIS Xiwei Bai, Jie Tan, Xuelei Wang
2018	—	`conf`	Improved Weighted PLS for Quality-Relevant Fault Monitoring Based on Inner Matrix Similarity. AIM Xiwei Bai, Xuelei Wang, Jie Tan, Wei Sun, Zhiyong Zhang, Zhonghao Zhang
2018	J	`jnl`	Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data. IEEE Access Chengbao Liu, Jie Tan, Heyuan Shi, Xuelei Wang
2017	C	`conf`	Intelligent integrated coking flue gas indices prediction. SNPD Yaning Li, Xuelei Wang, Jie Tan, Chengbao Liu, Xiwei Bai
2017	—	`conf`	Optimal Setting for Coking Flue Gas Denitriation Process Indices Based on PCR-Multi-Case Fusion. CYBCONF Yaning Li, Xuelei Wang, Xiwei Bai, Jie Tan, Chengbao Liu
2016	C	`conf`	Modeling of integrated processes for coking flue gas desulfurization and denitrification based on RBFNN. ICIS Yaning Li, Xuelei Wang, Jie Tan
2013	—	`conf`	Limitation of RFID data cleaning method - SMURF. RFID-TA Hongsheng Zhao, Jie Tan, Zhiyuan Zhu
2012	J	`jnl`	Back Projection Strategy for Solving Mode Mixing Problem. Int. J. Wavelets Multiresolution Inf. Process. Xiyuan Hu, Silong Peng, Jie Tan, Weiping Hu
2012	J	`jnl`	Mixed-reality simulation of RFID systems using iterated learning. Int. J. RF Technol. Res. Appl. Hong Cheng, Yu Liu, Shing-Chi Cheung, Junfang Zeng, Jie Tan, Yiping Yang
2012	J	`jnl`	RFID application in manufacturing: A case study on a pilot RFID project in household appliance production. Int. J. Comput. Integr. Manuf. Zhiyuan Zhu, Jie Tan, He Ren, Wancheng Ni, Qiang Guan
2011	—	`conf`	A systematic RFID application platform with integration capability for tour and exhibition. RFID-TA Na Li, Wancheng Ni, Hong Cheng, Jie Tan