Shikang Liu

22 papers A* 6A 1Misc 3Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Fault Diagnosis of Irregular Sequences by Adjoint Learning in Continuous-Time Model Space.
AAAI
Xiren Zhou, Chuyang Wei, Ao Chen, Shikang Liu, Xiangyu Wang, Huanhuan Chen
2026 A* conf
SVGL: Scale-Variable Graph Learning in Model Space for Multivariate Time Series Classification.
AAAI
Shikang Liu, Ziyu Tang, Xiren Zhou, Huanhuan Chen
2025 A* conf
Fault Diagnosis in REDNet Model Space.
IJCAI
Xiren Zhou, Ziyu Tang, Shikang Liu, Ao Chen, Xiangyu Wang, Huanhuan Chen
2025 Misc conf
Inside and Inside: Efficient Anomaly Detection by Fully Capturing the Detailed Dynamics.
ICASSP
Ziyu Tang, Xiren Zhou, Ao Chen, Shikang Liu, Chuyang Wei, Huanhuan Chen
2025 Misc conf
Learning in the Model Space: Fault Diagnosis by Co-objective Learning in DynInt Model Space.
ICASSP
Ziyu Tang, Xiren Zhou, Shikang Liu, Chuyang Wei, Ao Chen, Huanhuan Chen
2025 J jnl
Multiscale Temporal Dynamic Learning for Time Series Classification.
IEEE Trans. Knowl. Data Eng.
Shikang Liu, Xiren Zhou, Huanhuan Chen
2025 J jnl
Reservoir-enhanced Segment Anything Model for Subsurface Diagnosis.
CoRR
Xiren Zhou, Shikang Liu, Xinyu Yan, Yizhan Fan, Xiangyu Wang, Yu Kang, Jiancheng Lv, Huanhuan Chen
2025 A* conf
Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification.
ICML
Shikang Liu, Chuyang Wei, Xiren Zhou, Huanhuan Chen
2025 A* conf
Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space.
IJCAI
Xiren Zhou, Shikang Liu, Xinyu Yan, Xiangyu Wang, Huanhuan Chen
2024 — conf
Docker-based Heterogeneous Resource Configuration and Task Allocation Mechanism.
MSN
Yongmin Zhang, Shikang Liu, Wei Wang
2024 J jnl
Enhanced Anomaly Detection in GPR Data by Combining Spatial and Dynamic Information.
IEEE Trans. Geosci. Remote. Sens.
Chuyang Wei, Xiren Zhou, Shikang Liu, Huanhuan Chen
2024 J jnl
From Data to D3 Model: Adaptive Subsurface Anomaly Detection in GPR Data.
IEEE Trans. Geosci. Remote. Sens.
Shikang Liu, Xiren Zhou, Huanhuan Chen
2024 A* conf
Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data.
IJCAI
Xiren Zhou, Shikang Liu, Ao Chen, Huanhuan Chen
2024 J jnl
Research Ideas Discovery via Hierarchical Negative Correlation.
IEEE Trans. Neural Networks Learn. Syst.
Lyuzhou Chen, Xiangyu Wang, Taiyu Ban, Muhammad Usman, Shikang Liu, Derui Lyu, Huanhuan Chen
2023 J jnl
Underground Anomaly Detection in GPR Data by Learning in the C3 Model Space.
IEEE Trans. Geosci. Remote. Sens.
Xiren Zhou, Shikang Liu, Ao Chen, Qiuju Chen, Fang Xiong, Yumin Wang, Huanhuan Chen
2022 J jnl
Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data.
CoRR
Xiren Zhou, Shikang Liu, Ao Chen, Yizhan Fan, Huanhuan Chen
2022 A conf
Nonlinear Causal Discovery in Time Series.
CIKM
Tianhao Wu, Xingyu Wu, Xin Wang, Shikang Liu, Huanhuan Chen
2021 J jnl
Heterogeneous Network Approach to Predict Individuals' Mental Health.
ACM Trans. Knowl. Discov. Data
Shikang Liu, Fatemeh Vahedian, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, Tijana Milenkovic
2020 Misc conf
The Power of Dynamic Social Networks to Predict Individuals' Mental Health.
PSB
Shikang Liu, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, Tijana Milenkovic
2019 J jnl
Heterogeneous network approach to predict individuals' mental health.
CoRR
Shikang Liu, Fatemeh Vahedian, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, Tijana Milenkovic
2019 J jnl
The power of dynamic social networks to predict individuals' mental health.
CoRR
Shikang Liu, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, Tijana Milenkovic
2018 J jnl
Network analysis of the NetHealth data: exploring co-evolution of individuals' social network positions and physical activities.
Appl. Netw. Sci.
Shikang Liu, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, Tijana Milenkovic