Yongchao Liu
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Yongchao Liu 001 (Dalian University of Technology, Dalian, China)
- Yongchao Liu 002 (Qingdao University, Qingdao, China)
- Yongchao Liu 003 (University of Rochester, NY, USA)
- Yongchao Liu 004 (Ant Group, Hangzhou, China)
- Yongchao Liu 005 (Hunan Institute of Traffic Engineering, Hengyang, China)
- Yongchao Liu 006 (Ningbo University, Ningbo, China)
- Yongchao Liu 007 (Southeast University, Nanjing, China)
- Yongchao Liu 008 (State Grid Chongqing Economic and Technological Research Institute Co. Ltd., China)
Bibliography
2026
Circuits Syst. Signal Process., April, 2026
Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering.
CoRR, March, 2026
A reliability-based maintenance policy for multi-state systems subjecting to δ -shock.
Reliab. Eng. Syst. Saf., 2026
Statistical inference for online decision making with Lasso loss function: In a contextual multi-armed bandit setting.
Eur. J. Oper. Res., 2026
Numerical methods for stochastic optimization problems with decision-dependent distributions under large delays.
Comput. Oper. Res., 2026
Dual-channel dynamic event-triggered fuzzy control for uncertain nonlinear systems with unknown measurement sensitivity.
Appl. Soft Comput., 2026
2025
Multim. Syst., June, 2025
Numerical methods for distributed stochastic compositional optimization problems with aggregative structure.
Optim. Methods Softw., January, 2025
Self-triggered adaptive neural control for USVs with sensor measurement sensitivity under deception attacks.
J. Field Robotics, January, 2025
Piecewise affine decision rules for contextual chance-constrained stochastic programming.
Oper. Res. Lett., 2025
Observer-based self-triggered adaptive decentralized control for uncertain interconnected nonlinear systems.
Math. Comput. Simul., 2025
2024
Confidence region for distributed stochastic optimization problem via stochastic gradient tracking method.
Autom., January, 2024
Improved sliding-mode control for a class of disturbed systems based on a disturbance observer.
J. Frankl. Inst., 2024
Adaptive dynamic event-triggered fault tolerant control for uncertain strict-feedback nonlinear systems.
Eur. J. Control, 2024
2023
Face morphing attack detection based on high-frequency features and progressive enhancement learning.
Frontiers Neurorobotics, June, 2023
Towards swarm optimization techniques for power communication systems and smart grid environments.
J. High Speed Networks, 2023
Int. J. Comput. Intell. Stud., 2023
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023
Proceedings of the Multimedia Technology and Enhanced Learning, 2023
A Windowed Stochastic Learning Automaton Algorithm for Directional Neighbor Discovery.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023
2022
Research on Mongolian-Chinese Translation Model Based on Transformer with Soft Context Data Augmentation Technique.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022
2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy.
CoRR, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Evaluation of Vegetation Index-Based Curve Fitting Models for Accurate Classification of Salt Marsh Vegetation Using Sentinel-2 Time-Series.
Sensors, 2020
Woodpecker-DL: Accelerating Deep Neural Networks via Hardware-Aware Multifaceted Optimizations.
CoRR, 2020
2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2018
Synchronisation control for ships in underway replenishment based on dynamic surface control.
Int. J. Autom. Control., 2018
Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018
2017
Proceedings of the 20th International Conference on Information Fusion, 2017
2014
Least Square Fast Learning Network for modeling the combustion efficiency of a 300WM coal-fired boiler.
Neural Networks, 2014
Parameter Design for Efficient Link Utilization in Chaos-Based Transmission Rate Control.
Proceedings of the Second International Symposium on Computing and Networking, 2014
2012
Design and implementation of parallel bioinformatics algorithms on heterogeneous computing architectures
PhD thesis, 2012
A framework and its empirical study of automatic diagnosis of traditional Chinese medicine utilizing raw free-text clinical records.
J. Biomed. Informatics, 2012