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researcher

Wenjie Wang

National University of Singapore

16 papers hereh-index 14558 citations20 works total

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

author position
  • middle author15

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.CL4
  • cs.IR2
  • cs.MM2
  • cs.AI1
  • cs.LG1
affiliations
  • National University of Singapore
same name
  • Wenjie Wang — 59 papers, h 31
  • Wenjie Wang — 12 papers, h 3
  • Wenjie Wang — 11 papers, h 4
  • Wenjie Wang — 11 papers, h 8
  • Wenjie Wang — 10 papers, h 4
  • Wenjie Wang — 10 papers, h 5

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
20222026
most citedCounterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis

62 citations · 132 across the 14 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2025

Parallel Test-Time Scaling for Latent Reasoning Models

Runyang You, Yongqi Li, Meng Liu +3

Parallel test-time scaling (TTS) is a pivotal approach for enhancing large language models (LLMs), typically by sampling multiple token-based chains-of-thought in parallel and aggr…

cs.CL2024

Distillation Enhanced Generative Retrieval

Yongqi Li, Zhen Zhang, Wenjie Wang +3

Generative retrieval is a promising new paradigm in text retrieval that generates identifier strings of relevant passages as the retrieval target. This paradigm leverages powerful…

cs.CL2023

General Debiasing for Multimodal Sentiment Analysis

Teng Sun, Juntong Ni, Wenjie Wang +3

Existing work on Multimodal Sentiment Analysis (MSA) utilizes multimodal information for prediction yet unavoidably suffers from fitting the spurious correlations between multimoda…

cs.CL2022★ 62 cited

Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis

Teng Sun, Wenjie Wang, Liqiang Jing +3

Existing studies on multimodal sentiment analysis heavily rely on textual modality and unavoidably induce the spurious correlations between textual words and sentiment labels. This…

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