Daojun Liang

According to our database, Daojun Liang authored at least 22 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

The Forecast After the Forecast: A Post-Processing Shift in Time Series.

Daojun Liang, Qi Li, Yinglong Wang, Jing Chen, Hu Zhang, Xiaoxiao Cui, Qizheng Wang, Shuo Li

CoRR, January, 2026

Joint Trajectory Design and Resource Allocation for Energy-Efficient Multi-UAV Assisted Vehicular Networks: An IKPP Approach.

Jing Wang, Xiaotian Zhou, Haixia Zhang, Daojun Liang, Dongfeng Yuan

IEEE Trans. Wirel. Commun., 2026

DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting.

Daojun Liang, Jing Chen, Xiao Wang, Yinglong Wang, Shuo Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting.

Daojun Liang, Jing Chen, Xiao Wang, Yinglong Wang, Suo Li

CoRR, November, 2025

RasPiDets: A Quasi-Real-Time Defect Detection Method With End-Edge-Cloud Collaboration.

Daojun Liang, Haixia Zhang, Qiaojian Han, Dongfeng Yuan, Minggao Zhang

IEEE Trans. Ind. Informatics, July, 2025

Multi-Head Encoding for Extreme Label Classification.

Daojun Liang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method.

Daojun Liang, Haixia Zhang, Dongfeng Yuan

CoRR, January, 2025

DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting.

Daojun Liang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Progressive Supervision via Label Decomposition: An long-term and large-scale wireless traffic forecasting method.

Daojun Liang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang

Knowl. Based Syst., 2024

Periodformer: An efficient long-term time series forecasting method based on periodic attention.

Daojun Liang, Haixia Zhang, Dongfeng Yuan, Minggao Zhang

Knowl. Based Syst., 2024

Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data.

Daojun Liang, Haixia Zhang, Jing Wang, Dongfeng Yuan, Minggao Zhang

CoRR, 2024

DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting.

Daojun Liang, Haixia Zhang, Dongfeng Yuan

CoRR, 2024

Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals.

Daojun Liang, Haixia Zhang, Dongfeng Yuan, Bingzheng Zhang, Minggao Zhang

CoRR, 2024

2023

User-Preference-Learning-Based Proactive Edge Caching for D2D-Assisted Wireless Networks.

Dongyang Li, Haixia Zhang, Hui Ding, Tiantian Li, Daojun Liang, Dongfeng Yuan

IEEE Internet Things J., July, 2023

A Densely Stacked Attention Method for Cyberattack Detection.

Haixia Hou, Daojun Liang, Mingqiang Zhang, Dongfeng Yuan

J. Inf. Sci. Eng., 2023

Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?

Daojun Liang, Haixia Zhang, Dongfeng Yuan, Xiaoyan Ma, Dongyang Li, Minggao Zhang

CoRR, 2023

2021

STeP-UNet: Prediction of Moving and Communication Behaviors of Vehicles.

Daojun Liang, Haixia Zhang, Xiaotian Zhou, Dongyang Li, Dongfeng Yuan, Minggao Zhang

Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Tool Fault Diagnosis Based on Improved Multiscale Network and Feature Fusion.

Dongyang Li, Dongfeng Yuan, Daojun Liang, Zijun Di, Mingqiang Zhang, Feng Cao, Miaomiao Xin, Tengfei Lei, Mingyan Jiang

Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

2019

Multi-sample inference network.

Daojun Liang, Feng Yang, Xiuping Wang, Xiaohui Ju

IET Comput. Vis., 2019

LightNets: The Concept of Weakening Layers.

Xiaohui Ju, Feng Yang, Daojun Liang

IEEE Access, 2019

2018

Understanding Mixup Training Methods.

Daojun Liang, Feng Yang, Tian Zhang, Peter Yang

IEEE Access, 2018

WPNets and PWNets: From the Perspective of Channel Fusion.

Daojun Liang, Feng Yang, Tian Zhang, Jie Tian, Peter Yang

IEEE Access, 2018