Content available in repository
Content available in repository
Personal profile
Academic background
Predictive maintenance; Instance difficulty analysis
Education/Academic qualification
Technology, other, Master, REMAINING USEFUL LIFE PREDICTION BASED ON ENSEMBLE LEARNING, Shanghai Jiao Tong University
1 Sept 2017 → 31 Mar 2021
Award Date: 31 Mar 2020
Materials technology, Bachelor, Northeastern University China
1 Sept 2008 → 30 Jun 2012
Award Date: 30 Jun 2012
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Dive into the research topics where Ya Song 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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Enhancing Remaining Useful Life Prediction with Ensemble Multi-Term Fourier Graph Neural Networks
Song, Y., Bliek, L., Wu, Y. & Zhang, Y., Feb 2025, In: Transactions on Machine Learning Research. 2025, 01, 18 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile5 Downloads (Pure) -
Geometrically Invariant and Equivariant Graph Neural Networks for TSP Algorithm Selection and Hardness Prediction
Song, Y., Bliek, L. & Zhang, Y., 2025, (Accepted/In press) The 19th Learning And Intelligent Optimization Conference, LION 19. SpringerResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks
Song, Y., Bliek, L. & Zhang, Y., 2025, Proceedings of the 17th International Conference on Agents and Artificial Intelligence: Volume 3: ICAART. Rocha, A. P., Steels, L. & van den Herik, H. J. (eds.). SciTePress Digital Library, p. 472-479 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access -
A Temporal Pyramid Pooling-Based Convolutional Neural Network for Remaining Useful Life Prediction
Song, Y., Bliek, L., Xia, T. & Zhang, Y., 2021, Proceedings of the 31st European Safety and Reliability Conference and (ESREL 2021). Castanier, B., Cepin, M., Bigaud, D. & Berenguer, C. (eds.). Research Publishing (S) Pte Ltd., p. 603-609 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile5 Citations (Scopus)316 Downloads (Pure) -
An ensemble framework based on convolutional bi-directional LSTM with multiple time windows for remaining useful life estimation
Xia, T., Song, Y., Zheng, Y., Pan, E. & Xi, L., Feb 2020, In: Computers in Industry. 115, 15 p., 103182.Research output: Contribution to journal › Article › Academic › peer-review
210 Citations (Scopus)
Prizes
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Winner MLVRP2023 GECCO competition
Reijnen, R. (Recipient), Song, Y. (Recipient), Abouelrous, A. (Recipient), Zhang, Y. (Recipient), Bukhsh, Z. (Recipient) & Bliek, L. (Recipient), 19 Jul 2023
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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