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Q. Su

4 papers hereh-index 565 citations11 works total

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

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
same name
  • Q. Su — 10 papers, h 8
  • Q. Su — 5 papers, h 18
  • Q. Su — 3 papers, h 4
  • Q. Su — 2 papers, h 7
  • Q. Su — 1 paper, h 10
  • Q. Su — 1 paper, h 20

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 citedChinese Word Segmentation with Heterogeneous Graph Neural Network

5 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

Extending AI for Research to the Humanities: A Multi-Agent Framework for Evidence-Grounded Scholarship

Yating Pan, Jiajun Zhang, Jun Wang +1

LLM-based research agents have advanced rapidly in science and engineering, where research is organized around executable experiments, code, and quantitative signals. Humanities sc…

cs.CL2024★ 2 cited

Restoring Ancient Ideograph: A Multimodal Multitask Neural Network Approach

Siyu Duan, Jun Wang, Qi Su

Cultural heritage serves as the enduring record of human thought and history. Despite significant efforts dedicated to the preservation of cultural relics, many ancient artefacts h…

cs.CL2023

Incorporating Deep Syntactic and Semantic Knowledge for Chinese Sequence Labeling with GCN

Xuemei Tang, Jun Wang, Qi Su

Recently, it is quite common to integrate Chinese sequence labeling results to enhance syntactic and semantic parsing. However, little attention has been paid to the utility of hie…

cs.CL2022★ 5 cited

Chinese Word Segmentation with Heterogeneous Graph Neural Network

Xuemei Tang, Jun Wang, Qi Su

In recent years, deep learning has achieved significant success in the Chinese word segmentation (CWS) task. Most of these methods improve the performance of CWS by leveraging exte…

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