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Yike Guo

Imperial College London (from arXiv:2110.14346, 2021) · OpenAlex

3 papers in scope · 2 published · 1 on the econ.EM arXiv · 20 citations · h-index 2 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Thomas O. Zörner
  2. Philip Nadler
  3. Pratha Khandelwal
  4. Rossella Arcucci
  5. William J. Knottenbelt
  6. Florian Huber
  7. Justyna Wróblewska
  8. Łukasz Kwiatkowski
  9. Niko Hauzenberger
  10. Gary Koop
  11. Michael Pfarrhofer
  12. Gregor Kastner
  13. Luca Onorante
  14. Sylvia Frühwirth-Schnatter
  15. Rubén Loaiza-Maya
  16. Philippe Goulet Coulombe
  17. Joshua C. C. Chan
  18. Massimiliano Marcellino
  19. Luca Rossini
  20. Karin Klieber

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(1 of 3)

Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model
published2025 · Proceedings of the AAAI Conference on Artificial Intelligence · 18 citations · first circulated 2024
with Zhen Ye, Peiwen Sun, Jiahe Lei, Hongzhan Lin, Xu Tan, Zheqi Dai, Qiuqiang Kong, Jianyi Chen, Jiahao Pan, Qifeng Liu, Wei Xue
Proceedings of the AAAI Conference on Artificial Intelligence
A Scalable Inference Method For Large Dynamic Economic Systems
working paper2021 · arXiv
with Pratha Khandelwal, Philip Nadler, Rossella Arcucci, William J. Knottenbelt
Paper profile arXiv arXiv:2110.14346
Editorial
published1999 · Data Mining and Knowledge Discovery · 2 citations
with Robert Grossman
Data Mining and Knowledge Discovery

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.