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Yunshan Ma

24 papers hereh-index 11447 citations35 works total

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

author position
  • first author2
  • middle author22

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.IR10
  • cs.LG5
  • cs.MM4
  • cs.AI2
  • cs.CE1
  • q-fin.RM1
same name
  • Yunshan Ma — 24 papers, h 17
  • Yunshan Ma — 10 papers, h 1
  • Yunshan Ma — 4 papers, h 3
  • Yunshan Ma — 4 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
20202026
most citedLearning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models

42 citations · 104 across the 22 of their papers we have counts for

collaborators
Showing cs.MMShow all

4 papers · 1 filter

cs.MM2025★ 1 cited

Extending Visual Dynamics for Video-to-Music Generation

Xiaohao Liu, Teng Tu, Yunshan Ma +1

Music profoundly enhances video production by improving quality, engagement, and emotional resonance, sparking growing interest in video-to-music generation. Despite recent advance…

cs.MM2024★ 4 cited

MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models

Haoxuan Li, Zhengmao Yang, Yunshan Ma +3

We study an emerging and intriguing problem of multimodal temporal event forecasting with large language models. Compared to using text or graph modalities, the investigation of ut…

cs.MM2024

FashionReGen: LLM-Empowered Fashion Report Generation

Yujuan Ding, Yunshan Ma, Wenqi Fan +3

Fashion analysis refers to the process of examining and evaluating trends, styles, and elements within the fashion industry to understand and interpret its current state, generatin…

cs.MM2024★ 4 cited

Smart Fitting Room: A One-stop Framework for Matching-aware Virtual Try-on

Mingzhe Yu, Yunshan Ma, Lei Wu +4

The development of virtual try-on has revolutionized online shopping by allowing customers to visualize themselves in various fashion items, thus extending the in-store try-on expe…

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