Xiaoliang Luo

According to our database, Xiaoliang Luo authored at least 19 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Do Machines Fail Like Humans? A Human-Centred Out-of-Distribution Spectrum for Mapping Error Alignment.

Binxia Xu, Xiaoliang Luo, Luke Dickens, Robert M. Mok

CoRR, March, 2026

Rationale-Grounded In-Context Learning for Time Series Reasoning with Multimodal Large Language Models.

Qingxiang Liu, Zhiqing Cui, Xiaoliang Luo, Yuqian Wu, Zhuoyang Jiang, Huaiyu Wan, Sheng Sun, Lvchun Wang, Wei Yu, Yuxuan Liang

CoRR, January, 2026

Confidence-weighted integration of human and machine judgments for superior decision-making.

Felipe Yáñez, Xiaoliang Luo, Omar Valerio Minero, Bradley C. Love

Patterns, 2026

MSTNet: Multi-Scale Contextual Analysis Network for Semantic Segmentation of Remote Sensing Images.

Longbao Wang, Mingxuan Wang, Xiaoliang Luo, Lvchun Wang, Mu He, Chong Long, Meng Ding

IET Image Process., 2026

Corrigendum to "LDM: Large tensorial SDF model for textured mesh generation" [Graphical Models, Volume 140, August 2025, 101271].

Rengan Xie, Kai Huang, Xiaoliang Luo, Yizheng Chen, Lvchun Wang, Qi Wang, Qi Ye, Wei Chen, Wenting Zheng, Yuchi Huo

Graph. Model., 2026

2025

Observation and evaluation of surface and underground space changes in well salt mining based on InSAR: a case study of Qingjiang salt mine, Zhangshu, China.

Hua Gao, Xiaoliang Luo, Hui Lin, Guangcai Feng, Lvchun Wang

Int. J. Digit. Earth, December, 2025

Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies.

Xiaoliang Luo, Xinyi Xu, Michael Ramscar, Bradley C. Love

CoRR, May, 2025

A Real-Time Virtual-Real Fusion Rendering Framework in Cloud-Edge Environments.

Yuxi Zhou, Bowen Gao, Hongxin Zhang, Wei Chen, Xiaoliang Luo, Lvchun Wang

Comput. Animat. Virtual Worlds, 2025

DSSNet: An Anchor-Free Rotated Object Detection Network With Dynamic Sample Selection for Remote Sensing Images.

Longbao Wang, Yongheng Yu, Xiaoliang Luo, Lvchun Wang, Mu He, Yican Shen, Zhijun Zhou, Hongmin Gao

IET Image Process., 2025

LDM: Large tensorial SDF model for textured mesh generation.

Rengan Xie, Kai Huang, Xiaoliang Luo, Yizheng Chen, Lvchun Wang, Qi Wang, Qi Ye, Wei Chen, Wenting Zheng, Yuchi Huo

Graph. Model., 2025

2024

Beyond Human-Like Processing: Large Language Models Perform Equivalently on Forward and Backward Scientific Text.

Xiaoliang Luo, Michael Ramscar, Bradley C. Love

CoRR, 2024

Matching domain experts by training from scratch on domain knowledge.

Xiaoliang Luo, Guangzhi Sun, Bradley C. Love

CoRR, 2024

Large language models surpass human experts in predicting neuroscience results.

Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad, Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen, Valentina Borghesani, Anton Pashkov, Daniele Marinazzo, Jonathan Nicholas, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Mikail Khona, Kaustubh R. Patil, Pui-Shee Lee, Rui Mata, Nicholas E. Myers, Jennifer K. Bizley, Sebastian Musslick, Isil Poyraz Bilgin, Guiomar Niso, Justin M. Ales, Michael Gaebler, N. Apurva Ratan Murty, Leyla Loued-Khenissi, Anna Behler, Chloe M. Hall, Jessica Dafflon, Sherry Dongqi Bao, Bradley C. Love

CoRR, 2024

A VR Amblyopia Rehabilitation System based on the P5G Design Framework.

Ye Yan, Long Hang, Yuan Tian, Shengming Huang, Xiaoliang Luo, Xinzheng Jie, Xiaobing Zhang, Jiale Sheng, Jinhua Lin, Yuhan Dong

Proceedings of the 17th International Congress on Image and Signal Processing, 2024

2023

A too-good-to-be-true prior to reduce shortcut reliance.

Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love

Pattern Recognit. Lett., February, 2023

2022

Based on NB-IoT Platform for air quality detection system.

Xianhong Xiong, Chuansheng Yan, Xiaoliang Luo, Jun Guo, Ye Pan, Qiang Luo

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022

2021

Understanding top-down attention using task-oriented ablation design.

Freddie Bickford Smith, Brett D. Roads, Xiaoliang Luo, Bradley C. Love

CoRR, 2021

2020

The perceptual boost of visual attention is task-dependent in naturalistic settings.

Freddie Bickford Smith, Xiaoliang Luo, Brett D. Roads, Bradley C. Love

CoRR, 2020

The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks.

Xiaoliang Luo, Brett D. Roads, Bradley C. Love

CoRR, 2020