default author photo

Lilan Liu

Shanghai University

149 Yanchang Road

SHANGDA ROAD 99

Shanghai 200072, 200444

China

  • Shanghai University

SCHOLARLY PAPERS

3

DOWNLOADS

272

TOTAL CITATIONS

0

Scholarly Papers (3)

Actions:
Email selected abstracts
1.

Learning to Schedule Srcpsp with Uncertain Resource Capacity Based on Graph Neural Network and Reinforcement Learning

Number of pages: 22 Posted: 07 Jul 2022
Hongxia Cai, Yunqi Bian and Lilan Liu
Shanghai University, Shanghai University and Shanghai University
Downloads 123 (584,619)

Abstract:

Loading...

Stochastic resource constrained project scheduling problem, Graph neural network, Reinforcement Learning, Uncertain resource availability

2.

Uncertainty-Aware Bayesian Neural Network with Shap Interpretability for Data-Driven Assembly Quality Prediction in Complex Manufacturing Systems

Number of pages: 29 Posted: 15 Apr 2025
Jie Wu, Yan-Ning Sun, Yi-Tian Song, Lilan Liu, Zenggui Gao and Wei Qin
Shanghai University, Shanghai Jiao Tong University (SJTU) - School of Mechanical Engineering, Shanghai University, Shanghai University, Shanghai University and Shanghai Jiao Tong University (SJTU) - School of Mechanical Engineering
Downloads 100 (715,072)

Abstract:

Loading...

Complex assembly process, quality prediction, interpretable machine learning, Bayesian neural network, uncertainty quantification

3.

Key Technologies for Re-Eentrant Manufacturing Systems in the Era of Industry 5.0: Multi-Dimensional State Perception and Optimization Scheduling

Number of pages: 41 Posted: 08 Sep 2025
Hongwei Xu, Jiewu LENG, Sihan Huang, Shuxuan Zhao, Lilan Liu, Wei Qin, Youlong Lv and Jie Zhang
Shanghai University, Guangdong University of Technology, Beijing Institute of Technology, The University of Hong Kong, Shanghai University, Shanghai Jiao Tong University (SJTU) - School of Mechanical Engineering, Donghua University and Donghua University
Downloads 49 (1,086,013)

Abstract:

Loading...

Re-entrant manufacturing systems, Wafer manufacturing system, Multidimensional state perception, Optimal scheduling, Autonomous decision-making