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researcher

Bin Hu

14 papers hereh-index 6287 citations19 works total

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

author position
  • first author1
  • middle author11
  • last author2

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

fields
  • cs.CV5
  • cs.CL4
  • cs.AI3
  • cs.LG1
  • cs.RO1
same name
  • Bin Hu — 51 papers, h 23
  • Bin Hu — 13 papers, h 15
  • Bin Hu — 10 papers, h 4
  • Bin Hu — 8 papers, h 8
  • Bin Hu — 7 papers, h 5
  • Bin Hu — 7 papers, h 3

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 citedBug In the Code Stack: Can LLMs Find Bugs in Large Python Code Stacks

1 citations · 1 across the 14 of their papers we have counts for

collaborators
Showing 2025 · cs.CVShow all

4 papers · 2 filters

cs.CV2025

TrashDet: Iterative Neural Architecture Search for Efficient Waste Detection

Tony Tran, Bin Hu

This paper addresses trash detection on the TACO dataset under strict TinyML constraints using an iterative hardware-aware neural architecture search framework targeting edge and I…

cs.CV2025

Map-World: Masked Action planning and Path-Integral World Model for Autonomous Driving

Bin Hu, Zijian Lu, Haicheng Liao +7

Motion planning for autonomous driving must handle multiple plausible futures while remaining computationally efficient. Recent end-to-end systems and world-model-based planners pr…

cs.CV2025

AutoIAD: Manager-Driven Multi-Agent Collaboration for Automated Industrial Anomaly Detection

Dongwei Ji, Bingzhang Hu, Yi Zhou

Industrial anomaly detection (IAD) is critical for manufacturing quality control, but conventionally requires significant manual effort for various application scenarios. This pape…

cs.CV2025

LION-FS: Fast & Slow Video-Language Thinker as Online Video Assistant

Wei Li, Bing Hu, Rui Shao +2

First-person video assistants are highly anticipated to enhance our daily lives through online video dialogue. However, existing online video assistants often sacrifice assistant e…

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