Published in 2024 International Conference on Learning Representations, 2024
Keywords: Contrastive Learning; Sentence Embedding; Set Operation; Natural Language Processing; Machine Learning.
Recommended citation: Liu, Kang. "SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings." arXiv preprint arXiv:2404.17606 (2024). https://openreview.net/forum?id=zEHGSN8Hy8
Published in International Journal of Production Research, 2022
Keywords: Production systems; performance metrics estimates based on factory floor measurements; minimum number of required measurements; industry 4.0; smart manufacturing.
Recommended citation: Alavian, Pooya, Yongsoon Eun, Kang Liu, Semyon M. Meerkov, and Liang Zhang (2022). "The (αX, βX)-precise estimates of production systems performance metrics." International Journal of Production Research 60, no. 7 (2022): 2230-2253. https://www.tandfonline.com/doi/abs/10.1080/00207543.2021.1886367
Published in International Journal of Production Research, 2022
Keywords: Production systems; Unreliable machines; Cycle overrun; Machine improvability; Bottleneck analysis; Continuous improvement.
Recommended citation: Yongsoon Eun, Kang Liu, Semyon M. Meerkov (2022). "Production systems with cycle overrun: modelling, analysis, improvability and bottlenecks." International Journal of Production Research 60, no. 2 (2022): 534-548. https://www.tandfonline.com/doi/abs/10.1080/00207543.2021.1968528
Published in UMich DeepBlue, 2021
This is the PhD Dissertation of Dr. Kang Liu.
Recommended citation: Kang Liu. (2021). "The (α, β)-Precision Theory for Production System Monitoring and Improvement." UMich DeepBlue. 2021. https://deepblue.lib.umich.edu/bitstream/handle/2027.42/169726/kangliu_1.pdf
Published in IEEE Transactions on Automation Science and Engineering, 2020
Key words: Manufacturing systems; Performance analysis; Evaluation of MTBF and MTTR; Critical number of measurements; Observation time; Industry 4.0; Smart manufacturing.
Recommended citation: Alavian, Pooya, Yongsoon Eun, Kang Liu, Semyon M. Meerkov, and Liang Zhang. "The (α, β)-precise estimates of MTBF and MTTR: Definition, calculation, and observation time." IEEE Transactions on Automation Science and Engineering 18, no. 3 (2020): 1469-1477. https://ieeexplore.ieee.org/ielaam/8856/9470960/9180078-aam.pdf
Published in IFAC PaparsOnLine, 2019
Key words: MTBF and MTTR estimates; factory floor measurements; induced machine efficiency estimate; critical number of measurements for desired estimates accuracy.
Recommended citation: Alavian, Pooya, Yongsoon Eun, Kang Liu, Semyon M. Meerkov, and Liang Zhang. "The (α, β)-precise estimates of MTBF and MTTR: Definitions, calculations, and induced effect on machine efficiency evaluation." IFAC-PapersOnLine 52, no.13 (2019): 1004-1009. https://www.sciencedirect.com/science/article/pii/S2405896319313047
Published in IEEE American Control Conference (ACC), 2019
In this paper, we describe a vehicle routing problem representing real-time route scheduling for an agent delivering services to customers where the service demands are dynamically evolving.
Recommended citation: Kang Liu, Nan Li, Ilya Kolmanovsky, Anouck Girard. "A vehicle routing problem with dynamic demands and restricted failures solved using stochastic predictive control." IEEE American Control Conference (ACC) (2019): 1885-1890. https://ieeexplore.ieee.org/document/8814997
Published in Surgical Endoscopy, 2017
Key words: robotic surgery; suture; surgical platform; force sensor; suture tensile strength; da Vinci.
Recommended citation: Abiri, Ahmad, Omeed Paydar, Anna Tao, Megan LaRocca, Kang Liu, Bradley Genovese, Robert Candler, Warren S. Grundfest, and Erik P. Dutson. "Tensile strength and failure load of sutures for robotic surgery." Surgical endoscopy 31 (2017): 3258-3270. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462887/pdf/nihms835111.pdf