activity
20212025
most citedDual Path Structural Contrastive Embeddings for Learning Novel Objects

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2025

Failure of Optimal Design Theory? A Case Study in Toxicology Using Sequential Robust Optimal Design Framework

Elvis Han Cui, Michael Collins, Jessica Munson +1

This paper presents a quasi-sequential optimal design framework for toxicology experiments, specifically applied to sea urchin embryos. The authors propose a novel approach combini…

cs.CV2023

Trajectory-aware Principal Manifold Framework for Data Augmentation and Image Generation

Elvis Han Cui, Bingbin Li, Yanan Li +2

Data augmentation for deep learning benefits model training, image transformation, medical imaging analysis and many other fields. Many existing methods generate new samples from a…

cs.NE2023

Applications of Nature-Inspired Metaheuristic Algorithms for Tackling Optimization Problems Across Disciplines

Elvis Han Cui, Zizhao Zhang, Culsome Junwen Chen +1

Nature-inspired metaheuristic algorithms are important components of artificial intelligence, and are increasingly used across disciplines to tackle various types of challenging op…

cs.CV2022★ 1 cited

Dual Path Structural Contrastive Embeddings for Learning Novel Objects

Bingbin Li, Elvis Han Cui, Yanan Li +2

Learning novel classes from a very few labeled samples has attracted increasing attention in machine learning areas. Recent research on either meta-learning based or transfer-learn…

cs.NE2021

Particle swarm optimization in constrained maximum likelihood estimation a case study

Elvis Cui, Dongyuan Song, Weng Kee Wong

The aim of paper is to apply two types of particle swarm optimization, global best andlocal best PSO to a constrained maximum likelihood estimation problem in pseudotime anal-ysis,…