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researcher

Zihan Zhao

4 papers hereh-index 695 citations13 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CL2
  • cs.SD2
same name
  • Zihan Zhao — 19 papers, h 13
  • Zihan Zhao — 7 papers, h 3
  • Zihan Zhao — 6 papers, h 4
  • Zihan Zhao — 5 papers, h 1
  • Zihan Zhao — 5 papers, h 3
  • Zihan Zhao — 5 papers

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 citedKnowledge-aware Bayesian Co-attention for Multimodal Emotion Recognition

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

collaborators

4 papers

cs.SD2024

A Generalist Audio Foundation Model for Comprehensive Body Sound Auscultation

Pingjie Wang, Liudan Zhao, Zihan Zhao +6

Accurate and efficient auscultation-based diagnostics are vital for early disease detection, especially in resource-limited settings where specialized clinical expertise is scarce.…

cs.SD2024★ 1 cited

HSDreport: Heart Sound Diagnosis with Echocardiography Reports

Zihan Zhao, Pingjie Wang, Liudan Zhao +7

Heart sound auscultation holds significant importance in the diagnosis of congenital heart disease. However, existing methods for Heart Sound Diagnosis (HSD) tasks are predominantl…

cs.CL2023

LibriSQA: A Novel Dataset and Framework for Spoken Question Answering with Large Language Models

Zihan Zhao, Yiyang Jiang, Heyang Liu +2

While Large Language Models (LLMs) have demonstrated commendable performance across a myriad of domains and tasks, existing LLMs still exhibit a palpable deficit in handling multim…

cs.CL2023★ 2 cited

Knowledge-aware Bayesian Co-attention for Multimodal Emotion Recognition

Zihan Zhao, Yu Wang, Yanfeng Wang

Multimodal emotion recognition is a challenging research area that aims to fuse different modalities to predict human emotion. However, most existing models that are based on atten…

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