Multimodal 3D Fusion and In-Situ Learning for Spatially Aware AI - Chengyuan Xu; Radha Kumaran; Noah Stier; Kangyou Yu; Tobias Höllerer (IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2024, Bellevue, WA, USA, October 21-25, 2024, 2024)

Multimodal 3D Fusion and In-Situ Learning for Spatially Aware AI - Chengyuan Xu; Radha Kumaran; Noah Stier; Kangyou Yu; Tobias Höllerer (CoRR, 2024)

Comparing Zealous and Restrained AI Recommendations in a Real-World Human-AI Collaboration Task - Chengyuan Xu; Kuo-Chin Lien; Tobias Höllerer (CoRR, 2024)

RIS-assisted device-edge collaborative edge computing for industrial applications - Mian Guo; Chengyuan Xu; Mithun Mukherjee (Peer Peer Netw. Appl., 2023)

Comparing Zealous and Restrained AI Recommendations in a Real-World Human-AI Collaboration Task - Chengyuan Xu; Kuo-Chin Lien; Tobias Höllerer (Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, April 23-28, 2023, 2023)

Meta++ Network for Few-Shot Aerospace Crack Segmentation - Chengyuan Xu; Kang Liu; Xuelong Li (IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023, 2023)

Free-form Conversation with Human and Symbolic Avatars in Mixed Reality - Jiarui Zhu; Radha Kumaran; Chengyuan Xu; Tobias Höllerer (IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2023, Sydney, Australia, October 16-20, 2023, 2023)

Sugarcane yields prediction at the row level using a novel cross-validation approach to multi-year multispectral images - Sharareh Akbarian; Chengyuan Xu; Weijin Wang; Stephen Ginns; Samsung Lim (Comput. Electron. Agric., 2022)

Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images - Chengyuan Xu; Boning Dong; Noah Stier; Curtis McCully; D. Andrew Howell; Pradeep Sen; Tobias Höllerer (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

AoI-centric Task Scheduling for Autonomous Driving Systems - Chengyuan Xu; Qian Xu; Jianping Wang; Kui Wu; Kejie Lu; Chunming Qiao (IEEE INFOCOM 2022 - IEEE Conference on Computer Communications, London, United Kingdom, May 2-5, 2022, 2022)

Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images - Chengyuan Xu; Boning Dong; Noah Stier; Curtis McCully; D. Andrew Howell; Pradeep Sen; Tobias Höllerer (CoRR, 2022)

Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit - Chengyuan Xu; Curtis McCully; Boning Dong; D. Andrew Howell; Pradeep Sen (CoRR, 2021)

Smart Sensing for Container Trucks - Chengyuan Xu; Bin Zhao; Rongwei Yang; Bingyi Liu; Jianping Wang; Jinfan Wang (6th International Conference on Big Data Computing and Communications, BIGCOM 2020, Deqing, China, July 24-25, 2020, 2020)

A Deep Object Detection Method for Pineapple Fruit and Flower Recognition in Cluttered Background - Chen Wang; Jun Zhou; Chengyuan Xu; Xiao Bai (Pattern Recognition and Artificial Intelligence - International Conference, ICPRAI 2020, Zhongshan, China, October 19-23, 2020, Proceedings, 2020)

Feature Assessment and Classification of Diabetes Employing Concept Lattice - Jing Hao; Yongqing Zheng; Chengyuan Xu; Zhongmin Yan; Hui Li (23rd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019, Porto, Portugal, May 6-8, 2019, 2019)

Soil Biochar Quantification via Hyperspectral Unmixing - Lei Tong; Jun Zhou; Chengyuan Xu; Yuntao Qian; Yongsheng Gao (2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013, Hobart, Australia, November 26-28, 2013, 2013)