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Tianlong Chen

4 papers here

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

author position
  • middle author3
  • last author1

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

fields
  • cs.LG2
  • cs.CL1
  • cs.CV1
same name
  • Tianlong Chen — 44 papers
  • Tianlong Chen — 25 papers
  • Tianlong Chen — 19 papers, h 21
  • Tianlong Chen — 15 papers
  • Tianlong Chen — 13 papers
  • Tianlong Chen — 12 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 citedI2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2025

Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features

Sukwon Yun, Xin Liu, Yunhak Oh +4

In real-world graphs, we often encounter missing feature situations where a few or the majority of node features, e.g., sensitive information, are missed. In such scenarios, direct…

cs.CV2025

SparseC-AFM: a deep learning method for fast and accurate characterization of MoS2​ with C-AFM

Levi Harris, Md Jayed Hossain, Mufan Qiu +6

The increasing use of two-dimensional (2D) materials in nanoelectronics demands robust metrology techniques for electrical characterization, especially for large-scale production.…

cs.CL2025

Spatial Coordinates as a Cell Language: A Multi-Sentence Framework for Imaging Mass Cytometry Analysis

Chi-Jane Chen, Yuhang Chen, Sukwon Yun +2

Image mass cytometry (IMC) enables high-dimensional spatial profiling by combining mass cytometry's analytical power with spatial distributions of cell phenotypes. Recent studies l…

cs.LG2025★ 1 cited

I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts

Jiayi Xin, Sukwon Yun, Jie Peng +4

Modality fusion is a cornerstone of multimodal learning, enabling information integration from diverse data sources. However, vanilla fusion methods are limited by (1) inability to…

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