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Ziyang Song

14 papers hereh-index 470 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author6
  • last author3

Across the 12 of 14 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.AI3
  • cs.CL3
  • cs.MA1
same name
  • Ziyang Song — 7 papers, h 9
  • Ziyang Song — 5 papers, h 6
  • Ziyang Song — 4 papers, h 2
  • Ziyang Song — 4 papers, h 4
  • Ziyang Song — 3 papers, h 2
  • Ziyang Song — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedBidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning

2 citations · 4 across the 10 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2026

SMI: Ontology-Grounded Semantic IDs for Hierarchy-Aware Medical Concept Representation

Ziyang Song, Lia Shen, Yixuan Li +6

Biomedical language models (LMs) provide strong representations for clinical tasks, but they often fail to capture the hierarchical structure among medical concepts. This limitatio…

cs.CL2026

Patients-like-me: A Variational LM--GNN Framework for Explainable Clinical Prediction

Xinyu Wang, Yixuan Li, Hanwei Wu +4

Language models (LMs) offer strong textual representations for electronic health records (EHRs), but they encode patient sequences in isolation and provide limited explainability.…

cs.CL2026

SafeRx-Agent: A Knowledge-Grounded Multi-Agent Framework for Safe and Explainable Medication Recommendation

Xinyu Wang, Hanwei Wu, Zhenghan Tai +7

Medication recommendation predicts medications for patient visits, but existing methods still face two key challenges. At the model level, traditional drug recommendation methods o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.