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Wei Chen

4 papers hereh-index 8398 citations31 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.LG4
same name
  • Wei Chen — 45 papers, h 32
  • Wei Chen — 36 papers, h 56
  • Wei Chen — 29 papers, h 35
  • Wei Chen — 25 papers, h 25
  • Wei Chen — 21 papers
  • Wei Chen — 15 papers, h 33

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
20202022
most citedFRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders

3 citations · 6 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2022★ 3 cited

Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance

Zijian Li, Ruichu Cai, Jiawei Chen +4

Domain adaptation on time-series data is often encountered in the industry but received limited attention in academia. Most of the existing domain adaptation methods for time-serie…

cs.LG2022

REST: Debiased Social Recommendation via Reconstructing Exposure Strategies

Ruichu Cai, Fengzhu Wu, Zijian Li +4

The recommendation system, relying on historical observational data to model the complex relationships among the users and items, has achieved great success in real-world applicati…

cs.LG2021★ 3 cited

FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders

Wei Chen, Kun Zhang, Ruichu Cai +4

We consider the problem of estimating a particular type of linear non-Gaussian model. Without resorting to the overcomplete Independent Component Analysis (ICA), we show that under…

cs.LG2020

Time Series Domain Adaptation via Sparse Associative Structure Alignment

Ruichu Cai, Jiawei Chen, Zijian Li +6

Domain adaptation on time series data is an important but challenging task. Most of the existing works in this area are based on the learning of the domain-invariant representation…

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