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2020 – today
- 2026
[j15]Haodong Ma, Jiwei Qin, Dezhi Sun, Dacheng Wang, Chao Li:
Adaptive Trend-Fluctuation Decomposition based Dual-Branch Graph Network for spatio-temporal forecasting. Eng. Appl. Artif. Intell. 163: 113102 (2026)- [j14]Zihao Zhang, Jiwei Qin, Dezhi Sun, Yan Jiao, Lulu Li:
F2Fnet: alleviating spectral confusion in time series forecasting via dual Fourier modeling. Int. J. Data Sci. Anal. 21(1): 75 (2026) - [j13]Dezhi Sun, Jiwei Qin
, Weilin Tang, Xizhong Qin, Fei Shi, Minrui Wang, Zhenliang Liao:
DS-HBI: Dual-stream fusion forecasting model with historical backfilling imputation. Inf. Fusion 127: 103761 (2026) - 2025
- [j12]Jiachen Xie, Jiwei Qin, Xizhong Qin, Qiang Li, Daishun Cui, Dezhi Sun:
ECLNet: enhancing the CNN-LSTM networks for multivariate long-term time series forecasting. Appl. Intell. 55(10): 743 (2025) - [j11]Jiachen Xie, Jiwei Qin, Xizhong Qin, Daishun Cui, Qiang Li, Dezhi Sun:
Research on adaptive long-term time series carbon dioxide emission prediction model based on improved multilayer perceptron. Big Data Res. 42: 100572 (2025) - [j10]Daishun Cui, Jiwei Qin, Dezhi Sun, Xizhong Qin, Fei Shi:
A novel Koopman-based Assistant Features Network for long and short-term carbon emission prediction. Eng. Appl. Artif. Intell. 151: 110366 (2025) - [j9]Qiang Li, Jiwei Qin, Dacheng Wang, Xizhong Qin, Daishun Cui, Jiachen Xie, Dezhi Sun:
TOEformer: Temporal order enhanced Transformer for time series forecasting. Eng. Appl. Artif. Intell. 155: 110965 (2025) - [j8]Zhiwei Zhang, Qin Jiwei, Dezhi Sun, Zihao Zhang, Jing Ma, Xuefeng Feng, Huiguo Zhang:
MWENet: Multi-Wavelet Enhanced Network for seasonal-trend analysis in long-term forecasting. Neurocomputing 649: 130730 (2025) - [j7]Kaimin Wei, Shiting Zhao, Jinpeng Chen, Tingrui Pei, Dezhi Sun:
Privacy-Preserving Multitask Online Matching in Mobile Crowdsensing: A Snapshot-Based Approach. IEEE Internet Things J. 12(15): 30891-30900 (2025) - [j6]Dezhi Sun, Jiwei Qin, Zihao Zhang, Xizhong Qin, Huiguo Zhang:
MRLCD-A: Lag-aware alignment for multivariate time series forecasting in multiple scenarios. Inf. Process. Manag. 62(5): 104191 (2025) - [j5]Ruofan Feng, Jiwei Qin, Dezhi Sun, Weilin Tang, Xizhong Qin:
MTSMNet: a multi-scale trend-seasonal mixing network for long-term time series forecasting. Multim. Syst. 31(5): 352 (2025) - [c11]Weilin Tang, Jiwei Qin, Dezhi Sun, Ruofan Feng, Luwen Xu:
ECDformer: Enhanced Channel-Dependent Transformer for Multivariate Time Series Forecasting. ICIC (7) 2025: 474-484 - [c10]Zhiwei Zhang, Jiwei Qin, Dezhi Sun, Xuefeng Feng, Huiguo Zhang:
WE-LSTM: Multi-Wavelet Enhanced Seasonal-Trend Denoising for Long-Term Time Series Forecasting. ICMR 2025: 1814-1822 - 2024
- [j4]Luwen Xu, Jiwei Qin, Dezhi Sun, Yuanyuan Liao, Jiong Zheng:
PFformer: A Time-Series Forecasting Model for Short-Term Precipitation Forecasting. IEEE Access 12: 130948-130961 (2024) - [j3]Qiang Li, Jiwei Qin, Daishun Cui, Dezhi Sun, Dacheng Wang:
CMMamba: channel mixing Mamba for time series forecasting. J. Big Data 11(1): 153 (2024) - [c9]Daishun Cui, Jiwei Qin, Fang He, Fei Shi, Qiang Li, Dezhi Sun, Jiachen Xie:
MP3Net:Multi-scale Patch Parallel Prediction Networks for Multivariate Time Series Forecasting. IJCNN 2024: 1-7 - [c8]Qiang Li, Jiwei Qin, Dezhi Sun, Fei Shi, Daishun Cui, Jiachen Xie:
LinWA:Linear Weights Attention for Time Series Forecasting. IJCNN 2024: 1-8 - 2022
- [j2]Dezhi Sun, Man Hu, Zhenyu Li:
Adaptive Aggregation-Transformation Decoupled Graph Convolutional Network for Semi-Supervised Learning. IEEE Access 10: 41215-41225 (2022) - [c7]Tong Li, Qiaojie Wang, Dezhi Sun:
Research and Practice of Mixed Teaching Mode in Computer Network Course Based on SPOC. ICCSE (2) 2022: 430-440 - [c6]Dezhi Sun, Man Hu, Fucheng You, Han Xiao:
Hybrid Structure Encoding Graph Neural Networks with Attention Mechanism for Link Prediction. ICTAI 2022: 417-424 - 2021
- [c5]Tong Li, Yi Liu, Qiaojie Wang, Dezhi Sun:
The Design Application of Mixed Teaching Mode in Computer Courses - Taking the Course of Modern Network Technology as An Example. ICCSE 2021: 953-957 - 2020
- [c4]Zhenyu Li, Fucheng You, Dezhi Sun:
Research on the evaluation of learning behavior on MOOCs based on cluster analysis. EITCE 2020: 1055-1059
2010 – 2019
- 2019
- [j1]Dezhi Sun, Ke Xu, Hao Cheng, Yuanyuan Zhang, Tianshu Song, Rui Liu, Yi Xu:
Online delivery route recommendation in spatial crowdsourcing. World Wide Web 22(5): 2083-2104 (2019) - 2017
- [c3]Dezhi Sun, Bo Liu:
Crowdsourcing Based Teaching Assistant Arrangement for MOOC. DASFAA Workshops 2017: 429-435 - 2016
- [c2]Dezhi Sun, Yong Gao, Dan Yu:
Efficient and Load Balancing Strategy for Task Scheduling in Spatial Crowdsourcing. WAIM Workshops 2016: 161-173 - 2014
- [c1]Peiyan Zhu, Junhui Shen, Dezhi Sun, Ke Xu:
Mining meaningful topics from massive biomedical literature. BIBM 2014: 438-443
Coauthor Index
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last updated on 2026-01-10 23:29 CET by the dblp team
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