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)

The Power of Dynamic Social Networks to Predict Individuals' Mental Health. - Shikang Liu; David Hachen; Omar Lizardo; Christian Poellabauer; Aaron Striegel; Tijana Milenkovic (PSB, 2020)

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)

Nonlinear Causal Discovery in Time Series. - Tianhao Wu; Xingyu Wu; Xin Wang 179; Shikang Liu; Huanhuan Chen (CIKM, 2022)

Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data. - Xiren Zhou; Shikang Liu; Ao Chen 002; Yizhan Fan; Huanhuan Chen (CoRR, 2022)

Underground Anomaly Detection in GPR Data by Learning in the C3 Model Space. - Xiren Zhou; Shikang Liu; Ao Chen 002; Qiuju Chen; Fang Xiong; Yumin Wang; Huanhuan Chen (IEEE Trans. Geosci. Remote. Sens., 2023)

Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data. - Xiren Zhou; Shikang Liu; Ao Chen 002; Huanhuan Chen (IJCAI, 2024)

Docker-based Heterogeneous Resource Configuration and Task Allocation Mechanism. - Yongmin Zhang; Shikang Liu; Wei Wang 343 (MSN, 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)

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)

Research Ideas Discovery via Hierarchical Negative Correlation. - Lyuzhou Chen; Xiangyu Wang 016; Taiyu Ban; Muhammad Usman; Shikang Liu; Derui Lyu; Huanhuan Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Inside and Inside: Efficient Anomaly Detection by Fully Capturing the Detailed Dynamics. - Ziyu Tang; Xiren Zhou; Ao Chen 002; Shikang Liu; Chuyang Wei; Huanhuan Chen (ICASSP, 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 002; Huanhuan Chen (ICASSP, 2025)

Reservoir-enhanced Segment Anything Model for Subsurface Diagnosis. - Xiren Zhou; Shikang Liu; Xinyu Yan; Yizhan Fan; Xiangyu Wang 016; Yu Kang; Jiancheng Lv 001; Huanhuan Chen (CoRR, 2025)

Multiscale Temporal Dynamic Learning for Time Series Classification. - Shikang Liu; Xiren Zhou; Huanhuan Chen (IEEE Trans. Knowl. Data Eng., 2025)