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researcher

Hao-Yuan Shi

2 papers hereh-index 335 citations5 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedDRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network

9 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024

Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction

Xiaodi Li, Jianfeng Gui, Qian Gao +2

Graph Neural Networks have been widely applied in critical decision-making areas that demand interpretable predictions, leading to the flourishing development of interpretability a…

cs.LG2024★ 9 cited

DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network

Haoyuan Shi, Tao Xu, Xiaodi Li +4

Predicting the response of a cancer cell line to a therapeutic drug is pivotal for personalized medicine. Despite numerous deep learning methods that have been developed for drug r…

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