34 citations · 105 across the 13 of their papers we have counts for
5 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…
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…
ImageInThat: Manipulating Images to Convey User Instructions to Robots
Karthik Mahadevan, Blaine Lewis, Jiannan Li +3
Foundation models are rapidly improving the capability of robots in performing everyday tasks autonomously such as meal preparation, yet robots will still need to be instructed by…
Polymind: Parallel Visual Diagramming with Large Language Models to Support Prewriting Through Microtasks
Qian Wan, Jiannan Li, Huanchen Wang +1
Prewriting is the process of generating and organising ideas before a first draft. It consists of a combination of informal, iterative, and semi-structured strategies such as visua…