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researcher

Zhi Wei

4 papers hereh-index 426.8k citations133 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CL1
  • physics.soc-ph1
same name
  • Zhi Wei — 6 papers, h 3
  • Zhi Wei — 2 papers, h 33
  • Zhi Wei — 2 papers, h 0
  • Zhi Wei — 1 paper, h 3
  • Zhi Wei — 1 paper, 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
20142020
most citedThe robust-yet-fragile nature of interdependent networks

55 citations · 58 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2020

DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature

Chaoran Cheng, Fei Tan, Zhi Wei

We consider the problem of Named Entity Recognition (NER) on biomedical scientific literature, and more specifically the genomic variants recognition in this work. Significant succ…

cs.LG2018

A Blended Deep Learning Approach for Predicting User Intended Actions

Fei Tan, Zhi Wei, Jun He +4

User intended actions are widely seen in many areas. Forecasting these actions and taking proactive measures to optimize business outcome is a crucial step towards sustaining the s…

cs.LG2016★ 3 cited

A Noise-Filtering Approach for Cancer Drug Sensitivity Prediction

Turki Turki, Zhi Wei

Accurately predicting drug responses to cancer is an important problem hindering oncologists' efforts to find the most effective drugs to treat cancer, which is a core goal in prec…

physics.soc-ph2014★ 55 cited

The robust-yet-fragile nature of interdependent networks

Fei Tan, Yongxiang Xia

Interdependent networks have been shown to be extremely vulnerable based on the percolation model. Parshani et. al further indicated that the more inter-similar networks are, the m…

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