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Shiqi Zhang

4 papers hereh-index 5350 citations11 works total

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

author position
  • first author1
  • middle author2
  • last author1

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

fields
  • cs.AI3
  • cs.RO1
same name
  • Shiqi Zhang — 35 papers, h 35
  • Shiqi Zhang — 15 papers, h 11
  • Shiqi Zhang — 8 papers, h 2
  • Shiqi Zhang — 6 papers
  • Shiqi Zhang — 6 papers, h 5
  • Shiqi Zhang — 5 papers, h 4

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

most citedVision Language Models Can Parse Floor Plan Maps

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2026

ProjDevBench: Benchmarking AI Coding Agents on End-to-End Project Development

Pengrui Lu, Shiqi Zhang, Yunzhong Hou +8

Recent coding agents can generate complete codebases from simple prompts, yet existing evaluations focus on issue-level bug fixing and lag behind end-to-end development. We introdu…

cs.AI2026

M2-Miner: Multi-Agent Enhanced MCTS for Mobile GUI Agent Data Mining

Rui Lv, Juncheng Mo, Tianyi Chu +11

Graphical User Interface (GUI) agent is pivotal to advancing intelligent human-computer interaction paradigms. Constructing powerful GUI agents necessitates the large-scale annotat…

cs.RO2024★ 1 cited

Vision Language Models Can Parse Floor Plan Maps

David DeFazio, Hrudayangam Mehta, Meng Wang +3

Vision language models (VLMs) can simultaneously reason about images and texts to tackle many tasks, from visual question answering to image captioning. This paper focuses on map p…

cs.AI2024

Predicting AI Agent Behavior through Approximation of the Perron-Frobenius Operator

Shiqi Zhang, Darshan Gadginmath, Fabio Pasqualetti

Predicting the behavior of AI-driven agents is particularly challenging without a preexisting model. In our paper, we address this by treating AI agents as nonlinear dynamical syst…

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