Shikang Liu

According to our database, Shikang Liu authored at least 15 papers between 2018 and 2025.

Collaborative distances:

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

2025

Multiscale Temporal Dynamic Learning for Time Series Classification.

Shikang Liu, Xiren Zhou, Huanhuan Chen

IEEE Trans. Knowl. Data Eng., June, 2025

Reservoir-enhanced Segment Anything Model for Subsurface Diagnosis.

Xiren Zhou, Shikang Liu, Xinyu Yan, Yizhan Fan, Xiangyu Wang, Yu Kang, Jiancheng Lv, Huanhuan Chen

CoRR, April, 2025

Learning in the Model Space: Fault Diagnosis by Co-objective Learning in DynInt Model Space.

Ziyu Tang, Xiren Zhou, Shikang Liu, Chuyang Wei, Ao Chen, Huanhuan Chen

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Inside and Inside: Efficient Anomaly Detection by Fully Capturing the Detailed Dynamics.

Ziyu Tang, Xiren Zhou, Ao Chen, Shikang Liu, Chuyang Wei, Huanhuan Chen

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Research Ideas Discovery via Hierarchical Negative Correlation.

Lyuzhou Chen, Xiangyu Wang, Taiyu Ban, Muhammad Usman, Shikang Liu, Derui Lyu, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Enhanced Anomaly Detection in GPR Data by Combining Spatial and Dynamic Information.

Chuyang Wei, Xiren Zhou, Shikang Liu, Huanhuan Chen

IEEE Trans. Geosci. Remote. Sens., 2024

From Data to D3 Model: Adaptive Subsurface Anomaly Detection in GPR Data.

Shikang Liu, Xiren Zhou, Huanhuan Chen

IEEE Trans. Geosci. Remote. Sens., 2024

Docker-based Heterogeneous Resource Configuration and Task Allocation Mechanism.

Yongmin Zhang, Shikang Liu, Wei Wang

Proceedings of the 20th International Conference on Mobility, Sensing and Networking, 2024

Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data.

Xiren Zhou, Shikang Liu, Ao Chen, Huanhuan Chen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Underground Anomaly Detection in GPR Data by Learning in the C3 Model Space.

Xiren Zhou, Shikang Liu, Ao Chen, Qiuju Chen, Fang Xiong, Yumin Wang, Huanhuan Chen

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data.

Xiren Zhou, Shikang Liu, Ao Chen, Yizhan Fan, Huanhuan Chen

CoRR, 2022

Nonlinear Causal Discovery in Time Series.

Tianhao Wu, Xingyu Wu, Xin Wang, Shikang Liu, Huanhuan Chen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Heterogeneous Network Approach to Predict Individuals' Mental Health.

Shikang Liu, Fatemeh Vahedian, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, Tijana Milenkovic

ACM Trans. Knowl. Discov. Data, 2021

2020

The Power of Dynamic Social Networks to Predict Individuals' Mental Health.

Shikang Liu, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, Tijana Milenkovic

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2018

Network analysis of the NetHealth data: exploring co-evolution of individuals' social network positions and physical activities.

Shikang Liu, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, Tijana Milenkovic

Appl. Netw. Sci., 2018