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Researcher Evidence Record

Dongya Wu

This bounded record lists 8 Pith paper rows and 0 imported work rows attributed to this corpus identity. The enumerated, non-disputed paper rows include math.ST, stat.ML, math.OC work dated 2019 to 2025. The record describes sources and coverage; it makes no judgment about the person.

Compiled coverage vector

Measured lane counts only. Not a trust score or person verdict.

Enumerated paper scope: 4 fields (math.ST, stat.ML, math.OC, +1 more) · 2019-2025 sources: authors, author_identifiers · paper_authors · author_works · current_verdicts · cited_works

A sourced case file for attributed work. It is neither a profile score nor a verdict about this researcher.

Attributed works

A bounded ledger from the Pith paper and imported-work queries. Counts and source confidence stay with each work.

  1. 2025 Pith paper

    Widespread remote introgression in the grass genomes

    q-bio.PE provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Dongya Wu
    Author position
    16
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  2. 2024 Pith paper

    Low-rank matrix recovery via nonconvex optimization methods with application to errors-in-variables matrix regression

    math.OC provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Dongya Wu
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  3. 2024 Pith paper

    Adversarially robust generalization theory via Jacobian regularization for deep neural networks

    stat.ML provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Dongya Wu
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  4. 2024 Pith paper

    Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression

    stat.ML provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Dongya Wu
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  5. 2024 Pith paper

    Low-rank matrix estimation via nonconvex spectral regularized methods in errors-in-variables matrix regression

    math.ST provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Dongya Wu
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  6. 2020 Pith paper

    Low-rank matrix estimation in multi-response regression with measurement errors: Statistical and computational guarantees

    math.ST provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Dongya Wu
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  7. 2019 Pith paper

    Minimax rates of $\ell_p$-losses for high-dimensional linear regression models with additive measurement errors over $\ell_q$-balls

    math.ST provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Dongya Wu
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  8. 2019 Pith paper

    Sparse recovery via nonconvex regularized $M$-estimators over $\ell_q$-balls

    math.ST provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Dongya Wu
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.

Evidence apparatus

The machinery behind this record. Every lane states whether Pith measured it, did not query it, could not reach it, or withheld it.

LaneStateObservedBoundary and source
identity Measured 2 Canonical identity row plus public typed identifiers.
source=authors, author_identifiers
papers Measured 8 of 8 bounded rows Rows attributed to this author UUID in the Pith corpus.
source=paper_authors
works Measured zero 0 of 0 bounded rows Imported works not duplicated by the paper ledger.
source=author_works
reviews Measured 3 of 8 bounded rows Coverage count only. No review outcome is projected onto the person.
source=current_verdicts
citations Measured zero 0 of 8 bounded rows Counts remain itemized by work and source.
source=cited_works
coauthors Measured 19 of 8 bounded rows Shared-work edges from admitted paper rows.
source=paper_authors
account Unavailable No public count of 1 bounded rows Account metadata is separate from corpus evidence.
source=users.author_id
Public identity sources
  • name variant
    Dongya Wu
    backfill
    confidence 0.6
Enumerated research scope

Fields and dates come only from enumerated, non-disputed Pith paper rows. They do not claim career completeness.

  • math.ST4 rows
  • stat.ML2 rows
  • math.OC1 rows
  • q-bio.PE1 rows
  • 20192 rows
  • 20201 rows
  • 20244 rows
  • 20251 rows
Shared-work index
Record scope

The work queries are bounded. Missing rows may mean measured zero, an unavailable source, a query that did not run, or private data that Pith withheld. The lane table keeps those cases separate.

Paper findings remain attached to papers. They do not become findings about this researcher.