Haiyan Wang

According to our database, Haiyan Wang authored at least 20 papers between 2019 and 2024.

Collaborative distances:

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

2024

Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems.

Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta

CoRR, 2024

Predictive Analysis for Optimizing Port Operations.

Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta

CoRR, 2024

2023

Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling.

Jueming Hu, Haiyan Wang, Hsiu-Khuern Tang, Takuya Kanazawa, Chetan Gupta, Ahmed K. Farahat

Comput. Ind. Eng., November, 2023

Multi-Objective Reinforcement Learning for Sustainable Supply Chain Optimization.

Ibrahim El Shar, Haiyan Wang, Chetan Gupta

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

2022

Bayesian Optimization Methods for Inventory Control with Agent-Based Supply-Chain Simulator.

Takahiro Ogura, Haiyan Wang, Qiyao Wang, Atsuki Kiuchi, Chetan Gupta, Naoshi Uchihira

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., September, 2022

Enabling Product Circularity Through Big Data Analytics and Digitalization.

Umeshwar Dayal, Manish Gupta, Dipanjan Ghosh, Dinesh Wadhawan, Archana Morrow, Sadanori Horiguchi, Haiyan Wang, Aniruddha Rajendra Rao, Anastasia Osling, Chetan Gupta, Ravigopal Vennelakanti, Amit Kumar

Proceedings of the 65th IEEE International Midwest Symposium on Circuits and Systems, 2022

Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control.

Takuya Kanazawa, Haiyan Wang, Chetan Gupta

Proceedings of the International Joint Conference on Neural Networks, 2022

Deep Reinforcement Learning toward Robust Multi-echelon Supply Chain Inventory Optimization.

Ibrahim El Shar, Wenhuan Sun, Haiyan Wang, Chetan Gupta

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

Functional approach for Two Way Dimension Reduction in Time Series.

Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta

Proceedings of the IEEE International Conference on Big Data, 2022

2021

An Offline Deep Reinforcement Learning for Maintenance Decision-Making.

Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Ahmed K. Farahat

CoRR, 2021

Deep Reinforcement Learning with Adjustments.

Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita

Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents.

Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching.

Hamed Khorasgani, Haiyan Wang, Chetan Gupta

CoRR, 2020

Health Indicator Forecasting for Improving Remaining Useful Life Estimation.

Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Haiyan Wang

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

Spatio-Temporal Functional Neural Networks.

Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani, Chetan Gupta

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Toward data-driven modeling of material flow simulation: automatic parameter calibration of multiple agents from sparse production log.

Satoshi Nagahara, Susumu Serita, Yuma Shiho, Shuai Zheng, Haiyan Wang, Takafumi Chida, Chetan Gupta

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Bayesian Optimization Algorithm with Agent-based Supply Chain Simulator for Multi-echelon Inventory Management.

Atsuki Kiuchi, Haiyan Wang, Qiyao Wang, Takahiro Ogura, Tazu Nomoto, Chetan Gupta, Takaharu Matsui, Susumu Serita, Chi Zhang

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning.

Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta, Haiyan Wang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Non-linear Function-on-Function Model for Regression with Time Series Data.

Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Regularized Operating Envelope with Interpretability and Implementability Constraints.

Qiyao Wang, Haiyan Wang, Chetan Gupta, Susumu Serita

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019