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Chen Zhang

7 papers hereh-index 322 citations9 works total

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

author position
  • sole author1
  • first author1
  • middle author4
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.SE2
same name
  • Chen Zhang — 37 papers, h 33
  • Chen Zhang — 25 papers, h 11
  • Chen Zhang — 24 papers, h 10
  • Chen Zhang — 20 papers, h 12
  • Chen Zhang — 19 papers, h 10
  • Chen Zhang — 17 papers, h 14

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
20232026
collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CL2026

Orchestration-Free Customer Service Automation: A Privacy-Preserving and Flowchart-Guided Framework

Mengze Hong, Chen Jason Zhang, Zichang Guo +3

Customer service automation has seen growing demand within digital transformation. Existing approaches either rely on modular system designs with extensive agent orchestration or e…

cs.SE2026

Understanding and Detecting Flaky Builds in GitHub Actions

Wenhao Ge, Chen Zhang

Continuous Integration (CI) is widely used to provide rapid feedback on code changes; however, CI build outcomes are not always reliable. Builds may fail intermittently due to non-…

cs.CL2026

MultiVis-Agent: A Multi-Agent Framework with Logic Rules for Reliable and Comprehensive Cross-Modal Data Visualization

Jinwei Lu, Yuanfeng Song, Chen Zhang +1

Real-world visualization tasks involve complex, multi-modal requirements that extend beyond simple text-to-chart generation, requiring reference images, code examples, and iterativ…

cs.CL2026

Efficient Context Scaling with LongCat ZigZag Attention

Chen Zhang, Yang Bai, Jiahuan Li +19

We introduce LongCat ZigZag Attention (LoZA), which is a sparse attention scheme designed to transform any existing full-attention models into sparse versions with rather limited c…

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