Research output per year
Research output per year
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Dive into the research topics where Qingzhi Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Deep reinforcement learning for optimal microgrid energy management with renewable energy and electric vehicle integration
Xiong, B., Zhang, L., Hu, Y., Fang, F., Liu, Q. & Cheng, L., May 2025, In: Applied Soft Computing. 176, 113180.Research output: Contribution to journal › Article › Academic › peer-review
1 Citation (Scopus) -
Job Scheduling in Hybrid Clouds With Privacy Constraints: A Deep Reinforcement Learning Approach
He, H., Gu, Y., Liu, Q., Wu, H. & Cheng, L., 2025, In: Concurrency and Computation: Practice and Experience. 37, 1, 12 p., e8307.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Plant stem occlusion inpainting with Deep Reinforcement Learning
Jiang, Y., Liu, Q., Lu, W., Zhou, B., Smoleňová, K., Tekinerdogan, B. & Yang, Q., Oct 2025, In: Computers and Electronics in Agriculture. 237, 110465.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Advancements in Accelerating Deep Neural Network Inference on AIoT Devices: A Survey
Cheng, L., Gu, Y., Liu, Q., Yang, L., Liu, C. & Wang, Y., 2024, In: IEEE Transactions on Sustainable Computing. 9, 6, p. 830-847 18 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access22 Citations (Scopus) -
CASA: cost-effective EV charging scheduling based on deep reinforcement learning
Zhang, A., Liu, Q., Liu, J. & Cheng, L., 2024, In: Neural Computing and Applications. 36, 15, p. 8355-8370Research output: Contribution to journal › Article › Academic › peer-review
Open Access2 Citations (Scopus)
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Intelligent greenhouse supplementary lighting strategy based on tomato source-sink dynamic optimization
Ge, G. (PhD candidate), Tekinerdogan, B. (Promotor) & Liu, Q. (Co-promotor)
1/06/25 → …
Project: PhD
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Maize yield prediction based on multi-source data using deeping learning algorithms
Lu, L. (PhD candidate), Tekinerdogan, B. (Promotor) & Liu, Q. (Co-promotor)
1/09/24 → …
Project: PhD
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Adaptive Digital Twins for Precision Agriculture
Soykan, G. (PhD candidate), Tekinerdogan, B. (Promotor), Babur, Ö. (Co-promotor) & Liu, Q. (Co-promotor)
15/07/24 → …
Project: PhD
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Using Deep Learning for Evaluating and Managing Crop Growth Condition based on Multi-Source Images
Zou, D. (PhD candidate), Tekinerdogan, B. (Promotor) & Liu, Q. (Co-promotor)
15/06/23 → …
Project: PhD
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Growth Cycle Management of Crops in Precision Agriculture
Jiang, Y. (PhD candidate), Tekinerdogan, B. (Promotor) & Liu, Q. (Co-promotor)
1/03/23 → …
Project: PhD