Kaixin Liu
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
CoRR, February, 2026
2025
CoRR, October, 2025
ACIMNet: a text detection method for chip package drawings based on dilated channel interaction and multidimensional scale fusion.
J. Supercomput., June, 2025
Data-Based Dynamic Decoupling Control for MIMO Precision Motion Stages With Position-Dependent Disturbances.
IEEE Trans Autom. Sci. Eng., 2025
Advancements in amphibious robot navigation through wheeled odometer uncertainty extension and distributed information fusion.
Robotics Auton. Syst., 2025
Quality-aware industrial data imputation with self-supervised recovery for process soft sensor development.
Comput. Chem. Eng., 2025
Reliability Prediction Based on Multi-State Dynamic Bayesian Network Structure Learning for Complex System With Time-Lagged Correlation.
IEEE Access, 2025
HyperGen: Optimizing Generative Inference with Long Prompts for Resource-Constrained Systems.
Proceedings of the 16th ACM SIGOPS Asia-Pacific Workshop on Systems, 2025
2024
Data-driven reliability and resilience measure of transportation systems considering disaster levels.
Ann. Oper. Res., September, 2024
XNN: Paradigm Shift in Mitigating Identity Leakage within Cloud-Enabled Deep Learning.
CoRR, 2024
2023
Sensors, July, 2023
A Silicon Sub-Bandgap Near-Infrared Photodetector with High Detectivity Based on Textured Si/Au Nanoparticle Schottky Junctions Covered with Graphene Film.
Sensors, July, 2023
IEEE Trans. Ind. Informatics, May, 2023
Cascading failures and resilience optimization of hospital infrastructure systems against the COVID-19.
Comput. Ind. Eng., May, 2023
Convolutional Neural Network-Based Machine Vision for Non-Destructive Detection of Flooding in Packed Columns.
Sensors, March, 2023
Proc. ACM Manag. Data, 2023
Proceedings of the Multimedia Technology and Enhanced Learning, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Robotics, 2022
IEEE Trans. Mob. Comput., 2022
Convolutional Graph Thermography for Subsurface Defect Detection in Polymer Composites.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Reliability prediction used dynamic Bayesian networks for redundant system with time-lag correlation.
Qual. Reliab. Eng. Int., 2022
2021
Development and evaluation of thermal models for predicting skin temperature of dairy cattle.
Comput. Electron. Agric., 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
2020
Generative Principal Component Thermography for Enhanced Defect Detection and Analysis.
IEEE Trans. Instrum. Meas., 2020
Spatial-Neighborhood Manifold Learning for Nondestructive Testing of Defects in Polymer Composites.
IEEE Trans. Ind. Informatics, 2020
Robust Soft Sensor with Deep Kernel Learning for Quality Prediction in Rubber Mixing Processes.
Sensors, 2020
Proceedings of the Database Systems for Advanced Applications, 2020
Hybrid Attention Based Neural Architecture for Text Semantics Similarity Measurement.
Proceedings of the Database Systems for Advanced Applications, 2020
2019
Sensors, 2019
Orthogonal Locality Preserving Projections Thermography for Subsurface Defect Detection.
Proceedings of the CAA Symposium on Fault Detection, 2019
2018
Deep Learning based Information Extraction Framework on Chinese Electronic Health Records.
Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018
2017
Proceedings of the 14th Web Information Systems and Applications Conference, 2017
2015
Robust high-order space-time conservative schemes for solving conservation laws on hybrid meshes.
J. Comput. Phys., 2015
2012
A local space-time conservation scheme and its application in shock wave propagation.
Appl. Math. Comput., 2012
2011
Comput. Phys. Commun., 2011
2010
Improved CE/SE scheme with particle level set method for numerical simulation of spall fracture due to high-velocity impact.
J. Comput. Phys., 2010