most citedPlanar or Spatial: Exploring Design Aspects and Challenges for Presentations in Virtual Reality with No-coding Interface

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025★ 2 cited

Planar or Spatial: Exploring Design Aspects and Challenges for Presentations in Virtual Reality with No-coding Interface

Liwei Wu, Yilin Zhang, Justin Leung +3

The proliferation of virtual reality (VR) has led to its increasing adoption as an immersive medium for delivering presentations, distinct from other VR experiences like games and…

eess.IV2025

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation

Jingyi Gao, Di Wu, Baha lhnaini

Ultrasound image segmentation faces unique challenges including speckle noise, low contrast, and ambiguous boundaries, while clinical deployment demands computationally efficient m…

cs.LG2025

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information

Jingyi Gao, Sol Lim, Seokhyun Chung

Machine learning methods are increasingly applied to ergonomic risk assessment in manual material handling, particularly for estimating carried load from gait motion data collected…

cs.LG2025★ 1 cited

Replicable Distribution Testing

Ilias Diakonikolas, Jingyi Gao, Daniel Kane +2

We initiate a systematic investigation of distribution testing in the framework of algorithmic replicability. Specifically, given independent samples from a collection of probabili…

stat.ML2024

Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes

Jingyi Gao, Seokhyun Chung

This paper explores a federated learning approach that automatically selects the number of latent processes in multi-output Gaussian processes (MGPs). The MGP has seen great succes…