Anbang Liu

Orcid: 0000-0002-5827-4368

According to our database1, Anbang Liu authored at least 10 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Accelerating Level-Value Adjustment for the Polyak Stepsize.
J. Optim. Theory Appl., September, 2025

Integrated Offline and Online Learning to Solve a Large Class of Scheduling Problems.
CoRR, January, 2025

Unsupervised Motion-Robust Self-Distillation Framework for Remote Physiological Measurement.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling.
IEEE Trans Autom. Sci. Eng., July, 2024

2023
A Mixed Integer Linear Programming Formulation for Subway Timetable Optimization Problems with Passenger Waiting and Energy Saving Objectives.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling.
Dataset, October, 2022

2021
A Novel Integer Linear Programming Formulation for Job-Shop Scheduling Problems.
IEEE Robotics Autom. Lett., 2021

Random mask-based estimation of the distribution algorithm for stacked auto-encoder one-step pre-training.
Comput. Ind. Eng., 2021

2019
EDA based Deep Neural Network Parameter Optimization.
Proceedings of the 3rd International Conference on Computer Science and Application Engineering, 2019

2018
An Iterated Hybrid Local Search Algorithm for Pick-and-Place Sequence Optimization.
Symmetry, 2018


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