Daojun Liang

23 papers A* 1Journal 19Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting.
AAAI
Daojun Liang, Jing Chen, Xiao Wang, Yinglong Wang, Shuo Li
2026 J jnl
Joint Trajectory Design and Resource Allocation for Energy-Efficient Multi-UAV Assisted Vehicular Networks: An IKPP Approach.
IEEE Trans. Wirel. Commun.
Jing Wang, Xiaotian Zhou, Haixia Zhang, Daojun Liang, Dongfeng Yuan
2026 J jnl
The Forecast After the Forecast: A Post-Processing Shift in Time Series.
CoRR
Daojun Liang, Qi Li, Yinglong Wang, Jing Chen, Hu Zhang, Xiaoxiao Cui, Qizheng Wang, Shuo Li
2025 J jnl
DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting.
CoRR
Daojun Liang, Jing Chen, Xiao Wang, Yinglong Wang, Suo Li
2025 — conf
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting.
KDD (1)
Daojun Liang
2025 J jnl
Multi-Head Encoding for Extreme Label Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Daojun Liang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang
2025 J jnl
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method.
CoRR
Daojun Liang, Haixia Zhang, Dongfeng Yuan
2025 J jnl
RasPiDets: A Quasi-Real-Time Defect Detection Method With End-Edge-Cloud Collaboration.
IEEE Trans. Ind. Informatics
Daojun Liang, Haixia Zhang, Qiaojian Han, Dongfeng Yuan, Minggao Zhang
2024 J jnl
Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data.
CoRR
Daojun Liang, Haixia Zhang, Jing Wang, Dongfeng Yuan, Minggao Zhang
2024 J jnl
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting.
CoRR
Daojun Liang, Haixia Zhang, Dongfeng Yuan
2024 J jnl
Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals.
CoRR
Daojun Liang, Haixia Zhang, Dongfeng Yuan, Bingzheng Zhang, Minggao Zhang
2024 J jnl
Multi-Head Encoding for Extreme Label Classification.
CoRR
Daojun Liang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang
2024 J jnl
Periodformer: An efficient long-term time series forecasting method based on periodic attention.
Knowl. Based Syst.
Daojun Liang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang
2024 J jnl
Progressive Supervision via Label Decomposition: An long-term and large-scale wireless traffic forecasting method.
Knowl. Based Syst.
Daojun Liang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang
2023 J jnl
A Densely Stacked Attention Method for Cyberattack Detection.
J. Inf. Sci. Eng.
Haixia Hou, Daojun Liang, Mingqiang Zhang, Dongfeng Yuan
2023 J jnl
Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?
CoRR
Daojun Liang, Haixia Zhang, Dongfeng Yuan, Xiaoyan Ma, Dongyang Li, Minggao Zhang
2023 J jnl
User-Preference-Learning-Based Proactive Edge Caching for D2D-Assisted Wireless Networks.
IEEE Internet Things J.
Dongyang Li, Haixia Zhang, Hui Ding, Tiantian Li, Daojun Liang, Dongfeng Yuan
2021 — conf
STeP-UNet: Prediction of Moving and Communication Behaviors of Vehicles.
VTC Fall
Daojun Liang, Haixia Zhang, Xiaotian Zhou, Dongyang Li, Dongfeng Yuan, Minggao Zhang
2021 — conf
Tool Fault Diagnosis Based on Improved Multiscale Network and Feature Fusion.
ICPHM
Dongyang Li, Dongfeng Yuan, Daojun Liang, Zijun Di, Mingqiang Zhang, Feng Cao, Miaomiao Xin, Tengfei Lei, Mingyan Jiang
2019 J jnl
LightNets: The Concept of Weakening Layers.
IEEE Access
Xiaohui Ju, Feng Yang, Daojun Liang
2019 J jnl
Multi-sample inference network.
IET Comput. Vis.
Daojun Liang, Feng Yang, Xiuping Wang, Xiaohui Ju
2018 J jnl
Understanding Mixup Training Methods.
IEEE Access
Daojun Liang, Feng Yang, Tian Zhang, Peter Yang
2018 J jnl
WPNets and PWNets: From the Perspective of Channel Fusion.
IEEE Access
Daojun Liang, Feng Yang, Tian Zhang, Jie Tian, Peter Yang