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Tianyu Zhang

5 papers here

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

author position
  • middle author3

Across the 3 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.AI1
  • cs.HC1
ORCID 0000-0002-3908-7962
same name
  • Tianyu Zhang — 6 papers
  • Tianyu Zhang — 6 papers
  • Tianyu Zhang — 5 papers
  • Tianyu Zhang — 3 papers
  • Tianyu Zhang — 2 papers
  • Tianyu Zhang — 2 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
20212025
most citedOne Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective

13 citations · 17 across the 5 of their papers we have counts for

collaborators

4 papers

cs.CV2024

Dynamic Prompt Optimizing for Text-to-Image Generation

Wenyi Mo, Tianyu Zhang, Yalong Bai +3

Text-to-image generative models, specifically those based on diffusion models like Imagen and Stable Diffusion, have made substantial advancements. Recently, there has been a surge…

cs.HC2022

PromotionLens: Inspecting Promotion Strategies of Online E-commerce via Visual Analytics

Chenyang Zhang, Xiyuan Wang, Chuyi Zhao +5

Promotions are commonly used by e-commerce merchants to boost sales. The efficacy of different promotion strategies can help sellers adapt their offering to customer demand in orde…

cs.CV2021★ 13 cited

One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective

Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang +3

A deep hashing model typically has two main learning objectives: to make the learned binary hash codes discriminative and to minimize a quantization error. With further constraints…

cs.AI2021★ 4 cited

Ternary Hashing

Chang Liu, Lixin Fan, Kam Woh Ng +5

This paper proposes a novel ternary hash encoding for learning to hash methods, which provides a principled more efficient coding scheme with performances better than those of the…

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