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Weiqiang Wang

9 papers hereh-index 211 citations9 works total

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

author position
  • middle author6
  • last author3

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

fields
  • cs.LG4
  • cs.CL2
  • cs.IR2
  • cs.AI1
same name
  • Weiqiang Wang — 131 papers, h 35
  • Weiqiang Wang — 31 papers, h 8
  • Weiqiang Wang — 10 papers, h 28
  • Weiqiang Wang — 9 papers, h 4
  • Weiqiang Wang — 8 papers
  • Weiqiang Wang — 8 papers, h 6

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
20242026
most citedGraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs

3 citations · 3 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2025

Instruction-aware User Embedding via Synergistic Language and Representation Modeling

Ziyi Gao, Yike Xu, Jiahao Yuan +9

User representation modeling has become increasingly crucial for personalized applications, yet existing approaches struggle with generalizability across domains and sensitivity to…

cs.LG2025

FOUNDv2: Learning Unified User Quantized Tokenizers for User Representation

Chuan He, Yang Chen, Bin Dou +10

User representation learning serves as a fundamental pillar for personalized services on large-scale web platforms. Despite its importance, conventional continuous embedding method…

cs.LG2024

Transferable and Forecastable User Targeting Foundation Model

Bin Dou, Baokun Wang, Yun Zhu +11

User targeting, the process of selecting targeted users from a pool of candidates for non-expert marketers, has garnered substantial attention with the advancements in digital mark…

cs.LG2024★ 3 cited

GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs

Sheng Tian, Xintan Zeng, Yifei Hu +7

Graph-based patterns are extensively employed and favored by practitioners within industrial companies due to their capacity to represent the behavioral attributes and topological…

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