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Deqing Wang

32 papers hereh-index 14822 citations54 works total

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

author position
  • middle author25
  • last author5

Across the 30 of 32 papers where every author was matched, so the position is known.

fields
  • cs.IR11
  • cs.CL10
  • cs.AI5
  • cs.LG4
  • cs.CY1
  • cs.DL1
same name
  • Deqing Wang — 14 papers, h 6
  • Deqing Wang — 5 papers, h 18
  • Deqing Wang — 4 papers, h 2
  • Deqing Wang — 2 papers, h 4
  • Deqing Wang — 2 papers, h 1

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
20212026
most citedA Survey on Causal Inference for Recommendation

42 citations · 94 across the 31 of their papers we have counts for

collaborators
Showing 2026 · cs.IRShow all

4 papers · 2 filters

cs.IR2026

Local-to-Global Sentence-Level Graph Reranking for Scientific Synthesis

Zheng Dou, Zhao Zhang, Hao Geng +2

Retrieval-augmented scientific synthesis aims to answer complex research questions by integrating information from multiple papers into comprehensive and well-grounded responses. S…

cs.IR2026

SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation

Wei Chen, Xingyu Guo, Shuang Li +6

Generative Recommendation (GR) has emerged as a promising paradigm by formulating item recommendation as a sequence-to-sequence generation task over item identifiers. Recent studie…

cs.IR2026

LASAR: Latent Adaptive Semantic Aligned Reasoning for Generative Recommendation

Yiwen Chen, Fuwei Zhang, Zehao Chen +7

Large Language Models (LLMs) have demonstrated powerful reasoning capabilities through Chain-of-Thought (CoT) in various tasks, yet the inefficiency of token-by-token generation hi…

cs.IR2026

TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer

Yiwen Chen, Yiqing Wu, Huishi Luo +3

Graph-based recommendation has achieved great success in recent years. The classical graph recommendation model utilizes ID embedding to store essential collaborative information.…

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