Dezhi Sun

27 papers B 4Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Trend-Fluctuation Decomposition based Dual-Branch Graph Network for spatio-temporal forecasting.
Eng. Appl. Artif. Intell.
Haodong Ma, Jiwei Qin, Dezhi Sun, Dacheng Wang, Chao Li
2026 J jnl
DGLASA-Net: Breaking local stationarity via lag-shape alignment for multi-scenario forecasting and decision making.
Adv. Eng. Informatics
Dezhi Sun, Jiwei Qin, Huiguo Zhang, Haodong Ma, Dacheng Wang, Zhenliang Liao
2026 J jnl
DS-HBI: Dual-stream fusion forecasting model with historical backfilling imputation.
Inf. Fusion
Dezhi Sun, Jiwei Qin, Weilin Tang, Xizhong Qin, Fei Shi, Minrui Wang, Zhenliang Liao
2026 J jnl
F2Fnet: alleviating spectral confusion in time series forecasting via dual Fourier modeling.
Int. J. Data Sci. Anal.
Zihao Zhang, Jiwei Qin, Dezhi Sun, Yan Jiao, Lulu Li
2025 J jnl
A novel Koopman-based Assistant Features Network for long and short-term carbon emission prediction.
Eng. Appl. Artif. Intell.
Daishun Cui, Jiwei Qin, Dezhi Sun, Xizhong Qin, Fei Shi
2025 — conf
ECDformer: Enhanced Channel-Dependent Transformer for Multivariate Time Series Forecasting.
ICIC (7)
Weilin Tang, Jiwei Qin, Dezhi Sun, Ruofan Feng, Luwen Xu
2025 J jnl
ECLNet: enhancing the CNN-LSTM networks for multivariate long-term time series forecasting.
Appl. Intell.
Jiachen Xie, Jiwei Qin, Xizhong Qin, Qiang Li, Daishun Cui, Dezhi Sun
2025 J jnl
MRLCD-A: Lag-aware alignment for multivariate time series forecasting in multiple scenarios.
Inf. Process. Manag.
Dezhi Sun, Jiwei Qin, Zihao Zhang, Xizhong Qin, Huiguo Zhang
2025 J jnl
MTSMNet: a multi-scale trend-seasonal mixing network for long-term time series forecasting.
Multim. Syst.
Ruofan Feng, Jiwei Qin, Dezhi Sun, Weilin Tang, Xizhong Qin
2025 J jnl
MWENet: Multi-Wavelet Enhanced Network for seasonal-trend analysis in long-term forecasting.
Neurocomputing
Zhiwei Zhang, Qin Jiwei, Dezhi Sun, Zihao Zhang, Jing Ma, Xuefeng Feng, Huiguo Zhang
2025 J jnl
Privacy-Preserving Multitask Online Matching in Mobile Crowdsensing: A Snapshot-Based Approach.
IEEE Internet Things J.
Kaimin Wei, Shiting Zhao, Jinpeng Chen, Tingrui Pei, Dezhi Sun
2025 J jnl
Research on adaptive long-term time series carbon dioxide emission prediction model based on improved multilayer perceptron.
Big Data Res.
Jiachen Xie, Jiwei Qin, Xizhong Qin, Daishun Cui, Qiang Li, Dezhi Sun
2025 J jnl
TOEformer: Temporal order enhanced Transformer for time series forecasting.
Eng. Appl. Artif. Intell.
Qiang Li, Jiwei Qin, Dacheng Wang, Xizhong Qin, Daishun Cui, Jiachen Xie, Dezhi Sun
2025 B conf
WE-LSTM: Multi-Wavelet Enhanced Seasonal-Trend Denoising for Long-Term Time Series Forecasting.
ICMR
Zhiwei Zhang, Jiwei Qin, Dezhi Sun, Xuefeng Feng, Huiguo Zhang
2024 J jnl
CMMamba: channel mixing Mamba for time series forecasting.
J. Big Data
Qiang Li, Jiwei Qin, Daishun Cui, Dezhi Sun, Dacheng Wang
2024 B conf
LinWA:Linear Weights Attention for Time Series Forecasting.
IJCNN
Qiang Li, Jiwei Qin, Dezhi Sun, Fei Shi, Daishun Cui, Jiachen Xie
2024 B conf
MP3Net:Multi-scale Patch Parallel Prediction Networks for Multivariate Time Series Forecasting.
IJCNN
Daishun Cui, Jiwei Qin, Fang He, Fei Shi, Qiang Li, Dezhi Sun, Jiachen Xie
2024 J jnl
PFformer: A Time-Series Forecasting Model for Short-Term Precipitation Forecasting.
IEEE Access
Luwen Xu, Jiwei Qin, Dezhi Sun, Yuanyuan Liao, Jiong Zheng
2022 J jnl
Adaptive Aggregation-Transformation Decoupled Graph Convolutional Network for Semi-Supervised Learning.
IEEE Access
Dezhi Sun, Man Hu, Zhenyu Li
2022 B conf
Hybrid Structure Encoding Graph Neural Networks with Attention Mechanism for Link Prediction.
ICTAI
Dezhi Sun, Man Hu, Fucheng You, Han Xiao
2022 — conf
Research and Practice of Mixed Teaching Mode in Computer Network Course Based on SPOC.
ICCSE (2)
Tong Li, Qiaojie Wang, Dezhi Sun
2021 — conf
The Design Application of Mixed Teaching Mode in Computer Courses - Taking the Course of Modern Network Technology as An Example.
ICCSE
Tong Li, Yi Liu, Qiaojie Wang, Dezhi Sun
2020 — conf
Research on the evaluation of learning behavior on MOOCs based on cluster analysis.
EITCE
Zhenyu Li, Fucheng You, Dezhi Sun
2019 J jnl
Online delivery route recommendation in spatial crowdsourcing.
World Wide Web
Dezhi Sun, Ke Xu, Hao Cheng, Yuanyuan Zhang, Tianshu Song, Rui Liu, Yi Xu
2017 — conf
Crowdsourcing Based Teaching Assistant Arrangement for MOOC.
DASFAA Workshops
Dezhi Sun, Bo Liu
2016 — conf
Efficient and Load Balancing Strategy for Task Scheduling in Spatial Crowdsourcing.
WAIM Workshops
Dezhi Sun, Yong Gao, Dan Yu
2014 — conf
Mining meaningful topics from massive biomedical literature.
BIBM
Peiyan Zhu, Junhui Shen, Dezhi Sun, Ke Xu