Xiaoliang Luo

21 papers Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Confidence-weighted integration of human and machine judgments for superior decision-making.
Patterns
Felipe Yáñez, Xiaoliang Luo, Omar Valerio Minero, Bradley C. Love
2026 J jnl
Corrigendum to "LDM: Large tensorial SDF model for textured mesh generation" [Graphical Models, Volume 140, August 2025, 101271].
Graph. Model.
Rengan Xie, Kai Huang, Xiaoliang Luo, Yizheng Chen, Lvchun Wang, Qi Wang, Qi Ye, Wei Chen, Wenting Zheng, Yuchi Huo
2026 J jnl
Do Machines Fail Like Humans? A Human-Centred Out-of-Distribution Spectrum for Mapping Error Alignment.
CoRR
Binxia Xu, Xiaoliang Luo, Luke Dickens, Robert M. Mok
2026 J jnl
MSTNet: Multi-Scale Contextual Analysis Network for Semantic Segmentation of Remote Sensing Images.
IET Image Process.
Longbao Wang, Mingxuan Wang, Xiaoliang Luo, Lvchun Wang, Mu He, Chong Long, Meng Ding
2026 J jnl
Rationale-Grounded In-Context Learning for Time Series Reasoning with Multimodal Large Language Models.
CoRR
Qingxiang Liu, Zhiqing Cui, Xiaoliang Luo, Yuqian Wu, Zhuoyang Jiang, Huaiyu Wan, Sheng Sun, Lvchun Wang, Wei Yu, Yuxuan Liang
2025 J jnl
A Real-Time Virtual-Real Fusion Rendering Framework in Cloud-Edge Environments.
Comput. Animat. Virtual Worlds
Yuxi Zhou, Bowen Gao, Hongxin Zhang, Wei Chen, Xiaoliang Luo, Lvchun Wang
2025 J jnl
DSSNet: An Anchor-Free Rotated Object Detection Network With Dynamic Sample Selection for Remote Sensing Images.
IET Image Process.
Longbao Wang, Yongheng Yu, Xiaoliang Luo, Lvchun Wang, Mu He, Yican Shen, Zhijun Zhou, Hongmin Gao
2025 J jnl
LDM: Large tensorial SDF model for textured mesh generation.
Graph. Model.
Rengan Xie, Kai Huang, Xiaoliang Luo, Yizheng Chen, Lvchun Wang, Qi Wang, Qi Ye, Wei Chen, Wenting Zheng, Yuchi Huo
2025 J jnl
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.
Int. J. Digit. Earth
Hua Gao, Xiaoliang Luo, Hui Lin, Guangcai Feng, Lvchun Wang
2025 J jnl
Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies.
CoRR
Xiaoliang Luo, Xinyi Xu, Michael Ramscar, Bradley C. Love
2024 — conf
A VR Amblyopia Rehabilitation System based on the P5G Design Framework.
CISP-BMEI
Ye Yan, Long Hang, Yuan Tian, Shengming Huang, Xiaoliang Luo, Xinzheng Jie, Xiaobing Zhang, Jiale Sheng, Jinhua Lin, Yuhan Dong
2024 J jnl
Beyond Human-Like Processing: Large Language Models Perform Equivalently on Forward and Backward Scientific Text.
CoRR
Xiaoliang Luo, Michael Ramscar, Bradley C. Love
2024 J jnl
Confidence-weighted integration of human and machine judgments for superior decision-making.
CoRR
Felipe Yáñez, Xiaoliang Luo, Omar Valerio Minero, Bradley C. Love
2024 J jnl
Large language models surpass human experts in predicting neuroscience results.
CoRR
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
2024 J jnl
Matching domain experts by training from scratch on domain knowledge.
CoRR
Xiaoliang Luo, Guangzhi Sun, Bradley C. Love
2023 J jnl
A too-good-to-be-true prior to reduce shortcut reliance.
Pattern Recognit. Lett.
Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love
2022 — conf
Based on NB-IoT Platform for air quality detection system.
EITCE
Xianhong Xiong, Chuansheng Yan, Xiaoliang Luo, Jun Guo, Ye Pan, Qiang Luo
2021 J jnl
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance.
CoRR
Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love
2021 J jnl
Understanding top-down attention using task-oriented ablation design.
CoRR
Freddie Bickford Smith, Brett D. Roads, Xiaoliang Luo, Bradley C. Love
2020 J jnl
The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks.
CoRR
Xiaoliang Luo, Brett D. Roads, Bradley C. Love
2020 J jnl
The perceptual boost of visual attention is task-dependent in naturalistic settings.
CoRR
Freddie Bickford Smith, Xiaoliang Luo, Brett D. Roads, Bradley C. Love