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Jingyi Zhao

4 papers here

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

author position
  • first author2
  • middle author2

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

fields
  • cs.LG2
  • cs.CV1
  • cs.NE1
same name
  • Jingyi Zhao — 3 papers
  • Jingyi Zhao — 2 papers
  • Jingyi Zhao — 2 papers
  • Jingyi Zhao — 1 paper, h 9
  • Jingyi Zhao — 1 paper
  • Jingyi Zhao — 1 paper, h 2

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 citedA Deep Generative Model for the Design of Synthesizable Ionizable Lipids

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

collaborators

4 papers

cs.NE2025

Large Neighborhood and Hybrid Genetic Search for Inventory Routing Problems

Jingyi Zhao, Claudia Archetti, Tuan Anh Pham +1

The inventory routing problem (IRP) focuses on jointly optimizing inventory and distribution operations from a supplier to retailers over multiple days. Compared to other problems…

cs.CV2025

Mitigating Ambiguities in 3D Classification with Gaussian Splatting

Ruiqi Zhang, Hao Zhu, Jingyi Zhao +3

3D classification with point cloud input is a fundamental problem in 3D vision. However, due to the discrete nature and the insufficient material description of point cloud represe…

cs.LG2024★ 3 cited

A Deep Generative Model for the Design of Synthesizable Ionizable Lipids

Yuxuan Ou, Jingyi Zhao, Austin Tripp +2

Lipid nanoparticles (LNPs) are vital in modern biomedicine, enabling the effective delivery of mRNA for vaccines and therapies by protecting it from rapid degradation. Among the co…

cs.LG2024

Generative Model for Synthesizing Ionizable Lipids: A Monte Carlo Tree Search Approach

Jingyi Zhao, Yuxuan Ou, Austin Tripp +2

Ionizable lipids are essential in developing lipid nanoparticles (LNPs) for effective messenger RNA (mRNA) delivery. While traditional methods for designing new ionizable lipids ar…

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