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ORCIDShaocong Wu
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2020 – today
- 2025
[j13]Wenyuan Yang
, Chuhan Ma, Shiyu Wang, Shaocong Wu, Xin Yang:
A Lightweight Authentication Scheme With Dynamic Management for UAVs in Agriculture and Food Industries. IEEE Internet Things J. 12(23): 49221-49232 (2025)- [c2]Menghao Hu, Zuogan Tang, Xiaoshan Yang, Zhe Wu, Zhouxin Yang, Shaocong Wu, Yaguang Song, Kui Hou, Qingfang Zheng, Yaowei Wang:
Towards A Real-World Road Damage Detection Dataset. ICME 2025: 1-6 - [i4]Chenyang Jiang, Zhengcen Li, Hang Zhao, Qiben Shan, Shaocong Wu, Jingyong Su:
Beyond Pixels: Efficient Dataset Distillation via Sparse Gaussian Representation. CoRR abs/2509.26219 (2025) - [i3]Chenyang Jiang, Hang Zhao, Xinyu Zhang, Zhengcen Li, Qiben Shan, Shaocong Wu, Jingyong Su:
Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation. CoRR abs/2511.17914 (2025) - 2024
- [j12]Wenyuan Yang, Shaocong Wu, Jianwei Fei, Xianwang Zeng, Yuemin Ding, Zhihua Xia:
A Bitcoin-based Secure Outsourcing Scheme for Optimization Problem in Multimedia Internet of Things. ACM Trans. Multim. Comput. Commun. Appl. 20(6): 152:1-152:23 (2024) - [i2]Xinning Yi, Tianguang Lu, Jing Li, Shaocong Wu:
Collaborative planning of integrated hydrogen energy chain multi-energy systems: A review. CoRR abs/2405.09936 (2024) - 2023
- [j11]Shaocong Wu, Mengxia Liang, Xiaolong Wang, Qingcai Chen:
VGbel: An exploration of ensemble learning incorporating non-Euclidean structural representation for time series classification. Expert Syst. Appl. 224: 119942 (2023) - [j10]Mengxia Liang, Xiaolong Wang, Shaocong Wu:
Improving stock trend prediction through financial time series classification and temporal correlation analysis based on aligning change point. Soft Comput. 27(7): 3655-3672 (2023) - 2022
- [j9]Shaocong Wu, Xiaolong Wang, Jingyong Su:
Statistical analysis of the community lockdown for COVID-19 pandemic. Appl. Intell. 52(4): 3465-3482 (2022) - [j8]Dingming Wu, Xiaolong Wang, Shaocong Wu:
Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction. Expert Syst. Appl. 191: 116257 (2022) - [j7]Mengxia Liang, Shaocong Wu, Xiaolong Wang, Qingcai Chen:
A stock time series forecasting approach incorporating candlestick patterns and sequence similarity. Expert Syst. Appl. 205: 117595 (2022) - [j6]Dingming Wu, Xiaolong Wang, Shaocong Wu:
A hybrid framework based on extreme learning machine, discrete wavelet transform, and autoencoder with feature penalty for stock prediction. Expert Syst. Appl. 207: 118006 (2022) - [j5]Dingming Wu, Xiaolong Wang, Shaocong Wu:
Construction of stock portfolios based on k-means clustering of continuous trend features. Knowl. Based Syst. 252: 109358 (2022) - [c1]Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Chao Shen:
Unify Local and Global Information for Top-N Recommendation. SIGIR 2022: 1262-1272 - 2021
- [j4]Dingming Wu, Xiaolong Wang, Shaocong Wu:
A Hybrid Method Based on Extreme Learning Machine and Wavelet Transform Denoising for Stock Prediction. Entropy 23(4): 440 (2021) - [j3]Mengxia Liang, Xiaolong Wang, Shaocong Wu:
A Novel Time-Sensitive Composite Similarity Model for Multivariate Time-Series Correlation Analysis. Entropy 23(6): 731 (2021) - [j2]Shaocong Wu, Xiaolong Wang, Mengxia Liang, Dingming Wu:
PFC: A Novel Perceptual Features-Based Framework for Time Series Classification. Entropy 23(8): 1059 (2021) - 2020
- [j1]Dingming Wu, Xiaolong Wang, Jingyong Su, Buzhou Tang, Shaocong Wu:
A Labeling Method for Financial Time Series Prediction Based on Trends. Entropy 22(10): 1162 (2020) - [i1]Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Zhanwei Zhang, Yu Lan, Chao Shen:
A Duet Recommendation Algorithm Based on Jointly Local and Global Representation Learning. CoRR abs/2012.01635 (2020)
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