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researcher

Bin Huang

4 papers hereh-index 5382 citations12 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV2
  • cs.AI1
  • cs.IR1
same name
  • Bin Huang — 16 papers
  • Bin Huang — 11 papers, h 4
  • Bin Huang — 6 papers, h 3
  • Bin Huang — 5 papers, h 3
  • Bin Huang — 4 papers, h 11
  • Bin Huang — 4 papers, 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

activity
20232026
most citedMulti-modal Generative AI: Multi-modal LLMs, Diffusions, and the Unification

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

collaborators

4 papers

cs.IR2026

Asymmetric Generative Recommendation via Kronecker Residual Bridge and Multi-Faceted Hierarchical Quantization

Bin Huang, Xin Wang, Junwei Pan +6

Generative Recommendation (GenRec) models reformulate recommendation as a sequence generation task, representing items as discrete Semantic IDs used symmetrically as both inputs an…

cs.CV2024

VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding

Houlun Chen, Xin Wang, Hong Chen +5

Existing Video Corpus Moment Retrieval (VCMR) is limited to coarse-grained understanding, which hinders precise video moment localization when given fine-grained queries. In this p…

cs.AI2024★ 3 cited

Multi-modal Generative AI: Multi-modal LLMs, Diffusions, and the Unification

Xin Wang, Yuwei Zhou, Bin Huang +2

Multi-modal generative AI (Artificial Intelligence) has attracted increasing attention from both academia and industry. Particularly, two dominant families of techniques have emerg…

cs.CV2023★ 1 cited

VTimeLLM: Empower LLM to Grasp Video Moments

Bin Huang, Xin Wang, Hong Chen +2

Large language models (LLMs) have shown remarkable text understanding capabilities, which have been extended as Video LLMs to handle video data for comprehending visual details. Ho…

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