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Zijian Zhao

The Hong Kong University of Science and Technology

28 papers hereh-index 7173 citations36 works total

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

author position
  • sole author2
  • first author19
  • middle author7

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • cs.LG10
  • cs.AI3
  • cs.CL3
  • cs.CV3
  • cs.MA3
  • cs.SD3
affiliations
  • The Hong Kong University of Science and Technology
  • Huawei
Homepage
same name
  • Zijian Zhao — 9 papers, h 11
  • Zijian Zhao — 7 papers, h 15
  • Zijian Zhao — 4 papers, h 6
  • Zijian Zhao — 3 papers, h 4
  • Zijian Zhao — 3 papers, h 5
  • Zijian Zhao — 1 paper, 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 citedAn overview of domain-specific foundation model: key technologies, applications and challenges

18 citations · 63 across the 27 of their papers we have counts for

collaborators
Showing cs.SDShow all

3 papers · 1 filter

cs.SD2025

Zero-Effort Image-to-Music Generation: An Interpretable RAG-based VLM Approach

Zijian Zhao, Dian Jin, Zijing Zhou

Recently, Image-to-Music (I2M) generation has garnered significant attention, with potential applications in fields such as gaming, advertising, and multi-modal art creation. Howev…

cs.SD2024★ 3 cited

Let Network Decide What to Learn: Symbolic Music Understanding Model Based on Large-scale Adversarial Pre-training

Zijian Zhao

As a crucial aspect of Music Information Retrieval (MIR), Symbolic Music Understanding (SMU) has garnered significant attention for its potential to assist both musicians and enthu…

cs.SD2024★ 6 cited

PianoBART: Symbolic Piano Music Generation and Understanding with Large-Scale Pre-Training

Xiao Liang, Zijian Zhao, Weichao Zeng +4

Learning musical structures and composition patterns is necessary for both music generation and understanding, but current methods do not make uniform use of learned features to ge…

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