Liu, Yong

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

Zhang, K., Wen, Q., Zhang, C., Cai, R., Jin, M., Liu, Y., Zhang, J. Y., Liang, Y., Pang, G., Song, D., et al. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Time Series Analysis and ForecastingDomain Adaptation and Few-Shot Learning

Cited by 295

Lic-fusion: Lidar-inertial-camera odometry

Zuo, X., Geneva, P., Lee, W., Liu, Y., & Huang, G. (2019) · 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robotics and Sensor-Based LocalizationInertial Sensor and Navigation

Cited by 222

Lic-fusion 2.0: Lidar-inertial-camera odometry with sliding-window plane-feature tracking

Zuo, X., Yang, Y., Geneva, P., Lv, J., Liu, Y., Huang, G., & Pollefeys, M. (2020) · 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robotics and Sensor-Based LocalizationInertial Sensor and Navigation

Cited by 168

FReeNet: Multi-Identity Face Reenactment

Zhang, J., Zeng, X., Wang, M., Pan, Y., Liu, L., Liu, Y., Ding, Y., & Fan, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Face recognition and analysisGenerative Adversarial Networks and Image Synthesis

Cited by 111

Valve Stiction Detection Using Multitimescale Feature Consistent Constraint for Time-Series Data

Zhang, K., Liu, Y., Gu, Y., Wang, J., & Ruan, X. (2023) · IEEE/ASME Transactions on Mechatronics

Fault Detection and Control SystemsMachine Fault Diagnosis Techniques

Cited by 16

History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System

Zhang, T., Liu, Y., Li, B., Zeng, Z., Wang, P., You, Y., Miao, C., & Cui, L. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Speech and dialogue systemsTopic Modeling

Cited by 14

Unsupervised Feature Learning with Data Augmentation for Control Valve Stiction Detection

Zhang, K., & Liu, Y. (2021) · 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)

Fault Detection and Control SystemsTime Series Analysis and Forecasting

Cited by 4

Industrial Fault Detection using Contrastive Representation Learning on Time-series Data

Zhang, K., Cai, R., & Liu, Y. (2023) · IFAC-PapersOnLine

Fault Detection and Control SystemsMachine Fault Diagnosis Techniques

Cited by 2