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researcher

Jianwei Wang

16 papers hereh-index 5116 citations22 works total

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

author position
  • first author3
  • middle author11

Across the 14 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.AI4
  • cs.CV1
  • cs.DB1
  • cs.LG1
  • cs.MA1
same name
  • Jianwei Wang — 7 papers, h 4
  • Jianwei Wang — 3 papers, h 26
  • Jianwei Wang — 2 papers, h 3
  • Jianwei Wang — 1 paper, h 1
  • Jianwei Wang — 1 paper, h 4
  • Jianwei Wang — 1 paper, h 2

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

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Interpretable Unsupervised Community Detection with LLM-Symbolized Structured Processes

Aoting Zeng, Kai Wang, Jianwei Wang +3

Community detection is a fundamental task in graph analytics that aims to identify cohesive groups of entities with similar behaviors or interests. Classic objective-driven methods…

cs.AI2026

EvoSQL: Memory-Augmented Critic-Generator Co-Evolution for Text-to-SQL

Jiawei Zhou, Jianwei Wang, Chenyu Zhou +3

Text-to-SQL has advanced rapidly with large language models, but complex database queries still require reasoning beyond one-shot generation, including multi-step decomposition, ex…

cs.AI2026

Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory

Rongjie Jiang, Jianwei Wang, Gengda Zhao +3

Recent advances in large language models have driven the emergence of intelligent agents operating in open-world, multimodal environments. To support long-term reasoning, such agen…

cs.AI2025

Empowering Tabular Data Preparation with Language Models: Why and How?

Mengshi Chen, Yuxiang Sun, Tengchao Li +5

Data preparation is a critical step in enhancing the usability of tabular data and thus boosts downstream data-driven tasks. Traditional methods often face challenges in capturing…

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