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Shixuan Li

4 papers here

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

author position
  • middle author4

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

fields
  • cs.LG2
  • cs.HC1
  • eess.IV1
ORCID 0009-0008-6828-6347
same name
  • Shixuan Li — 1 paper
  • Shixuan Li — 1 paper
  • Shixuan Li — 1 paper

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 citedNeuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning

5 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2025

H2GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs

Trung-Kien Nguyen, Heng Ping, Shixuan Li +4

The growing interests and applications of graph learning in diverse domains have propelled the development of a unified model generalizing well across different graphs and tasks, k…

eess.IV2024

Multi-scale Conditional Generative Modeling for Microscopic Image Restoration

Luzhe Huang, Xiongye Xiao, Shixuan Li +4

The advance of diffusion-based generative models in recent years has revolutionized state-of-the-art (SOTA) techniques in a wide variety of image analysis and synthesis tasks, wher…

cs.LG2024★ 5 cited

Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning

Xiongye Xiao, Gengshuo Liu, Gaurav Gupta +6

Integrating and processing information from various sources or modalities are critical for obtaining a comprehensive and accurate perception of the real world in autonomous systems…

cs.HC2024

CogniDot: Vasoactivity-based Cognitive Load Monitoring with a Miniature On-skin Sensor

Hongbo Lan, Yanrong Li, Shixuan Li +2

Vascular activities offer valuable signatures for psychological monitoring applications. We present CogniDot, an affordable, miniature skin sensor placed on the temporal area on th…

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