Pith. sign in

Researcher Evidence Record

Zonghan Wu

This bounded record lists 12 Pith paper rows and 0 imported work rows attributed to this corpus identity. The enumerated, non-disputed paper rows include cs.LG, cs.CV, cs.AI work dated 2019 to 2026. 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 (cs.LG, cs.CV, cs.AI, +1 more) · 2019-2026 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. 2026 Pith paper

    DART: Semantic Recoverability for Structured Tool Agents

    cs.AI provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Zonghan Wu
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  2. 2026 Pith paper

    Rethinking Point Clouds as Sequences: A Causal Next-Token Predictive Learning Framework

    cs.CV provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Zonghan Wu
    Author position
    5
    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. 2026 Pith paper

    MIRL: Mutual Information-Guided Reinforcement Learning for Vision-Language Models

    cs.CV provisional current review present

    Sources and evidence
    Authorship source
    backfill
    Printed name
    Zonghan Wu
    Author position
    3
    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. 2025 Pith paper

    Enabling Collaborative Parametric Knowledge Calibration for Retrieval-Augmented Vision Question Answering

    cs.CV provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Zonghan Wu
    Author position
    3
    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.
  5. 2022 Pith paper

    Personalized Federated Learning With Graph

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Zonghan Wu
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  6. 2021 Pith paper

    Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Zonghan Wu
    Author position
    6
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  7. 2021 Pith paper

    ConTIG: Continuous Representation Learning on Temporal Interaction Graphs

    cs.SI provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Zonghan Wu
    Author position
    4
    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. 2021 Pith paper

    TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Zonghan 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.
  9. 2021 Pith paper

    Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Zonghan 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.
  10. 2020 Pith paper

    Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Zonghan 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.
  11. 2019 Pith paper

    Graph WaveNet for Deep Spatial-Temporal Graph Modeling

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Zonghan Wu
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 22 pith inbound references from cited_work_pith_inbound_counts
  12. 2019 Pith paper

    A Comprehensive Survey on Graph Neural Networks

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Zonghan Wu
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 8 pith inbound references from cited_work_pith_inbound_counts

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 12 of 12 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 4 of 12 bounded rows Coverage count only. No review outcome is projected onto the person.
source=current_verdicts
citations Measured 5 of 12 bounded rows Counts remain itemized by work and source.
source=cited_works
coauthors Measured 42 of 12 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
    Zonghan 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.

  • cs.LG7 rows
  • cs.CV3 rows
  • cs.AI1 rows
  • cs.SI1 rows
  • 20192 rows
  • 20201 rows
  • 20214 rows
  • 20221 rows
  • 20251 rows
  • 20263 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.