A Deep Learning Approach to Selecting Representative Time Steps for Time-Varying Multivariate Data. - William P. Porter; Yunhao Xing; Blaise R. von Ohlen; Jun Han 010; Chaoli Wang 001 (IEEE VIS (Short Papers), 2019)

V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data. - Jun Han 010; Hao Zheng 006; Yunhao Xing; Danny Z. Chen; Chaoli Wang 001 (IEEE Trans. Vis. Comput. Graph., 2021)

Multi-Task Multi-Attention Graph Neural Network for Mobile Crowd Sensing Data Reconstruction and Prediction. - Jianjun Tong; Yunhao Xing; Zijian Cao 002; Dong Zhao 001 (CCIS, 2022)

DroneSense: Leveraging Drones for Sustainable Urban-scale Sensing of Open Parking Spaces. - Dong Zhao 001; Mingzhe Cao; Lige Ding; Qiaoyue Han; Yunhao Xing; Huadong Ma (INFOCOM, 2022)

"I Want to Figure Things Out": Supporting Exploration in Navigation for People with Visual Impairments. - Gaurav Jain; Yuanyang Teng; Dong Heon Cho; Yunhao Xing; Maryam Aziz; Brian A. Smith 001 (Proc. ACM Hum. Comput. Interact., 2023)

Immersed in my Ideas: Using Virtual Reality and Multimodal Interactions to Visualize Users' Ideas and Thoughts. - Yunhao Xing; Jerrick Ban; Timothy D. Hubbard; Michael Villano; Diego Gómez-Zará (CoRR, 2024)

sMoRe: Enhancing Object Manipulation and Organization in Mixed Reality Spaces with LLMs and Generative AI. - Yunhao Xing; Que Liu; Jingwu Wang; Diego Gómez-Zará (CoRR, 2024)

Immersed in my Ideas: Using Virtual Reality and LLMs to Visualize Users' Ideas and Thoughts. - Yunhao Xing; Jerrick Ban; Timothy D. Hubbard; Michael Villano; Diego Gómez-Zará (IUI Companion, 2025)

sMoRe: Spatial Mapping and Object Rendering Environment. - Yunhao Xing; Que Liu; Jingwu Wang; Diego Gómez-Zará (IUI Companion, 2025)