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Sheng Li

9 papers hereh-index 101k citations13 works total

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

author position
  • middle author2
  • last author7

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CV2
  • stat.ML2
  • cs.CL1
  • stat.ME1
same name
  • Sheng Li — 37 papers, h 20
  • Sheng Li — 31 papers, h 17
  • Sheng Li — 26 papers, h 38
  • Sheng Li — 17 papers, h 18
  • Sheng Li — 15 papers, h 10
  • Sheng Li — 13 papers, h 11

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
20192023
most citedGraph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data

25 citations · 93 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

stat.ML2020★ 20 cited

Matching in Selective and Balanced Representation Space for Treatment Effects Estimation

Zhixuan Chu, Stephen L. Rathbun, Sheng Li

The dramatically growing availability of observational data is being witnessed in various domains of science and technology, which facilitates the study of causal inference. Howeve…

cs.CV2020★ 9 cited

Collaborative Attention Mechanism for Multi-View Action Recognition

Yue Bai, Zhiqiang Tao, Lichen Wang +3

Multi-view action recognition (MVAR) leverages complementary temporal information from different views to improve the learning performance. Obtaining informative view-specific repr…

cs.CV2020★ 6 cited

Stereotype-Free Classification of Fictitious Faces

Mohammadhossein Toutiaee, Soheyla Amirian, John A. Miller +1

Equal Opportunity and Fairness are receiving increasing attention in artificial intelligence. Stereotyping is another source of discrimination, which yet has been unstudied in lite…

stat.ME2020★ 24 cited

A Survey on Causal Inference

Liuyi Yao, Zhixuan Chu, Sheng Li +3

Causal inference is a critical research topic across many domains, such as statistics, computer science, education, public policy and economics, for decades. Nowadays, estimating c…

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