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Di Wang

Orcid: 0000-0002-7992-7743

Affiliations:
  • University of Illinois at Chicago, Department of Mechanical and Industrial Engineering, IL, USA


According to our database1, Di Wang authored at least 6 papers between 2022 and 2025.

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

Timeline

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Links

Online presence:

On csauthors.net:

Bibliography

2025
Deep reinforcement learning-based energy-aware disassembly planning for end-of-life products with stimuli-activated self-disassembly.
[BibTeX]
[DOI]
Di Wang
,
Jing Zhao
,
Muyue Han
,
Lin Li
J. Intell. Manuf., December, 2025

2023
Deep Deterministic Policy Gradient With Compatible Critic Network.
[BibTeX]
[DOI]
Di Wang
,
Mengqi Hu
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Contrastive Learning Methods for Deep Reinforcement Learning.
[BibTeX]
[DOI]
Di Wang
,
Mengqi Hu
IEEE Access, 2023

Out-of-Distribution Detection with Confidence Deep Reinforcement Learning.
[BibTeX]
[DOI]
Di Wang
Proceedings of the International Conference on Communications, 2023

2022
Simultaneous task and energy planning using deep reinforcement learning.
[BibTeX]
[DOI]
Di Wang
,
Mengqi Hu
,
Jeffery D. Weir
Inf. Sci., 2022

Meta Reinforcement Learning with Hebbian Learning.
[BibTeX]
[DOI]
Di Wang
Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022


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