Anbang Liu

According to our database, Anbang Liu authored at least 12 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

AccSPS Learning Rate: Accelerated Convergence Through Decision-Adjusted Levels for Stochastic Polyak Stepsize.

Jingtao Qin, Anbang Liu, Mikhail A. Bragin, Nanpeng Yu

IEEE Trans Autom. Sci. Eng., 2026

2025

Data-Centric Visual Development for Self-Driving Labs.

Anbang Liu, Guanzhong Hu, Jiayi Wang, Ping Guo, Han Liu

CoRR, December, 2025

Accelerating Level-Value Adjustment for the Polyak Stepsize.

Anbang Liu, Mikhail A. Bragin, Xi Chen, Xiaohong Guan

J. Optim. Theory Appl., September, 2025

Integrated Offline and Online Learning to Solve a Large Class of Scheduling Problems.

Anbang Liu, Zhi-Long Chen, Jinyang Jiang, Xi Chen

CoRR, January, 2025

Unsupervised Motion-Robust Self-Distillation Framework for Remote Physiological Measurement.

Anbang Liu, Shanlin Xiao, Wenming Zheng

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling.

Anbang Liu, Peter B. Luh, Kailai Sun, Mikhail A. Bragin, Bing Yan

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.

Anbang Liu, Xi Chen

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling.

Anbang Liu

Dataset, October, 2022

2021

A Novel Integer Linear Programming Formulation for Job-Shop Scheduling Problems.

Anbang Liu, Peter B. Luh, Bing Yan, Mikhail A. Bragin

IEEE Robotics Autom. Lett., 2021

Random mask-based estimation of the distribution algorithm for stacked auto-encoder one-step pre-training.

Qingyang Xu, Anbang Liu, Xianfeng Yuan, Yong Song, Chengjin Zhang, Yibin Li

Comput. Ind. Eng., 2021

2019

EDA based Deep Neural Network Parameter Optimization.

Qingyang Xu, Anbang Liu

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.

Jinsheng Gao, Xiaomin Zhu, Anbang Liu, Qingyang Meng, Runtong Zhang

Symmetry, 2018