3 citations · 6 across the 14 of their papers we have counts for
4 papers · 1 filter
Towards Explainable Quantum AI: Informing the Encoder Selection of Quantum Neural Networks via Visualization
Shaolun Ruan, Feng Liang, Rohan Ramakrishna +5
Quantum Neural Networks (QNNs) represent a promising fusion of quantum computing and neural network architectures, offering speed-ups and efficient processing of high-dimensional,…
Qualitative Study for LLM-assisted Design Study Process: Strategies, Challenges, and Roles
Shaolun Ruan, Rui Sheng, Xiaolin Wen +5
Design studies aim to create visualization solutions for real-world problems of different application domains. Recently, the emergence of large language models (LLMs) has introduce…
TrajLens: Visual Analysis for Constructing Cell Developmental Trajectories in Cross-Sample Exploration
Qipeng Wang, Shaolun Ruan, Rui Sheng +3
Constructing cell developmental trajectories is a critical task in single-cell RNA sequencing (scRNA-seq) analysis, enabling the inference of potential cellular progression paths.…
Intuit: Explain Quantum Computing Concepts via AR-based Analogy
Manusha Karunathilaka, Shaolun Ruan, Lin-Ping Yuan +5
Quantum computing has shown great potential to revolutionize traditional computing and can provide an exponential speedup for a wide range of possible applications, attracting vari…