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20132025

Research activity per year

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Dive into the research topics where Xiaodong Yu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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  • ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation

    Pan, Y., Lin, H., Ran, Y., Chen, J., Yu, X., Zhao, W., Zhang, D. & Xu, Z., 2025, Long Papers. Chiruzzo, L., Ritter, A. & Wang, L. (eds.). p. 11756-11771 16 p. (Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies: Long Papers, NAACL-HLT 2025; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    2 Scopus citations
  • A Survey on Error-Bounded Lossy Compression for Scientific Datasets

    Di, S., Liu, J., Zhao, K., Liang, X., Underwood, R., Zhang, Z., Shah, M., Huang, Y., Huang, J., Yu, X., Ren, C., Guo, H., Wilkins, G., Tao, D., Tian, J., Jin, S., Jian, Z., Wang, D., Rahman, M. H. & Zhang, B. & 6 others, Song, S., Calhoun, J., Li, G., Yoshii, K., Alharthi, K. & Cappello, F., 11 Jun 2025, In: ACM Computing Surveys. 57, 11, 287.

    Research output: Contribution to journalArticlepeer-review

    17 Scopus citations
  • Compression Error Sensitivity Analysis for Different Experts in MoE Model Inference

    Ma, S., Zhang, Z., Di, S., Liu, B., Yu, X., Lu, X. & Wang, D., 15 Nov 2025, Proceedings of 2025 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC 2025 Workshops. p. 339-348 10 p. (Proceedings of 2025 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC 2025 Workshops).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    1 Scopus citations
  • COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers

    Sun, B., Liu, W., Pauloski, J. G., Tian, J., Jia, J., Wang, D., Zhang, B., Zheng, M., Di, S., Jin, S., Zhang, Z., Yu, X., Iskra, K. A., Beckman, P., Tan, G. & Tao, D., 28 Feb 2025, PPoPP 2025 - Proceedings of the 2025 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming. p. 212-224 13 p. (Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    4 Scopus citations
  • DABench-LLM: Standardized and In-Depth Benchmarking of Post-Moore Dataflow AI Accelerators for LLMs

    Hu, Z., Zhong, Z., Zheng, W., Ye, Z., Tan, X., Zhang, X., Xie, Z., Kettimuthu, R. & Yu, X., 2025, Proceedings - 2025 IEEE International Symposium on Workload Characterization, IISWC 2025. p. 127-141 15 p. (Proceedings - 2025 IEEE International Symposium on Workload Characterization, IISWC 2025).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access