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Hongyu Guo

4 papers hereh-index 333 citations5 works total

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.CV2
  • cs.LG1
  • q-bio.QM1
same name
  • Hongyu Guo — 33 papers, h 26
  • Hongyu Guo — 6 papers, h 3
  • Hongyu Guo — 4 papers, h 5
  • Hongyu Guo — 4 papers, h 4
  • Hongyu Guo — 3 papers, h 2
  • Hongyu Guo — 3 papers, h 1

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 citedf-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning

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

collaborators

4 papers

cs.CV2025

NeuralOS: Towards Simulating Operating Systems via Neural Generative Models

Luke Rivard, Sun Sun, Hongyu Guo +2

We introduce NeuralOS, a neural framework that simulates graphical user interfaces (GUIs) of operating systems by directly predicting screen frames in response to user inputs such…

q-bio.QM2025

DisProtEdit: Exploring Disentangled Representations for Multi-Attribute Protein Editing

Max Ku, Sun Sun, Hongyu Guo +1

We introduce DisProtEdit, a controllable protein editing framework that leverages dual-channel natural language supervision to learn disentangled representations of structural and…

cs.CV2025

Referring Expression Instance Retrieval and A Strong End-to-End Baseline

Xiangzhao Hao, Kuan Zhu, Hongyu Guo +5

Using natural language to query visual information is a fundamental need in real-world applications. Text-Image Retrieval (TIR) retrieves a target image from a gallery based on an…

cs.LG2024★ 5 cited

f-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning

Yiwei Lu, Guojun Zhang, Sun Sun +2

In self-supervised contrastive learning, a widely-adopted objective function is InfoNCE, which uses the heuristic cosine similarity for the representation comparison, and is closel…

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