Temporal Dependency Modeling

Temporal Dependency Modeling is a computational framework that formalizes the sequencing and timing constraints among interrelated tasks in a workflow orchestration system, distinguishing itself by explicitly representing temporal relationships and their propagation effects to ensure correct execution order and timing guarantees.

267

Publications

20.1K

Citations

1K

Authors

362

Institutions

Publications per year

2017–2026

199

Authors

1K

  1. CZ
    Ce Zhu

    University of Electronic Science and Technology of China, China

    6 publications · 273 citations

    6

    h-index

  2. LW
    Liang Wang

    Chinese Academy of Sciences, China

    4 publications · 485 citations

    4

    h-index

  3. TS
    Thomas S. Huang

    University of Illinois Urbana-Champaign, United States

    4 publications · 687 citations

    4

    h-index

  4. YF
    Yuchen Fan

    University of Illinois Urbana-Champaign, United States

    4 publications · 687 citations

    4

    h-index

  5. HW
    Hua Wei

    Zhejiang University, China

    4 publications · 964 citations

    4

    h-index

1–5 of 1K

Venues

  1. arXiv (Cornell University)

    Repository · 26 publications · 1.8K citations

    17

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 8 publications · 2K citations

    8

    h-index

  3. 6

    h-index

  4. 5

    h-index

  5. 5

    h-index

1–5