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ORCIDMingxuan Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Mingxuan Liu 0001
![[0009-0005-9456-015X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0005-9456-015X")
— Tsinghua University, Beijing, China - Mingxuan Liu 0002 — Hubei University of Technology, Wuhan, China
- Mingxuan Liu 0003 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Mingxuan Liu 0004 — University of Southern California, Los Angeles, CA, USA
- Mingxuan Liu 0005 — National University of Singapore, Singapore
- Mingxuan Liu 0006 — Zhongguancun Laboratory, Beijing, China
- Mingxuan Liu 0007 — Northwestern Polytechnical University, Xi'an, China
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2020 – today
- 2026
[j7]Dmitri Williams, Mingxuan Liu, Sukyoung Choi, Nicholas David Bowman, Sonia Jawaid Shaikh:
Playing Through the Pandemic: Gaming Usage as a Buffer During COVID-19. Games Cult. 21(1): 51-74 (2026)- 2025
- [j6]Platon Lukyanenko, Joshua Mayourian, Mingxuan Liu, John K. Triedman, Sunil J. Ghelani, William G. La Cava:
Deep survival analysis from adult and pediatric electrocardiograms: a multi-center benchmark study. BioData Min. 19(1) (2025) - [j5]Zhiqi Wang, Mingxuan Liu, Zihan Yan, Xuhai Orson Xu, Danli Luo, Gigi Nathalie, Jiaji Li, Cheng Yang, Ye Tao, Guanyun Wang:
TangibleTale: Designing Tangible Child-Parent Interactive Storytelling for Promoting Eating Behaviors. Int. J. Hum. Comput. Interact. 41(16): 10301-10324 (2025) - [j4]Zhiyu Zhou, Jingqi Wen, Mingxuan Liu, Junyi Yang:
Classifying aquatic organism via evolving residual convolutional neural networks by optimized random vector functional link. Multim. Tools Appl. 84(1): 221-243 (2025) - [c8]Yunlan Wang, Yutong Liu, Tianhai Zhao, Mingxuan Liu, Jianhua Gu, Zhengxiong Hou, Chengwen Zhong:
Container Workload Prediction Using Deep Domain Adaptation in Transfer Learning. Euro-Par (1) 2025: 322-336 - [c7]Mingxuan Liu, Yijin Li, Juncheng Zhu, Hongjia Yang, Yiming Huang, Haoxiang Li, Yifei Chen, Xuguang Bai, Yi Liao, Haibo Qu, Qiyuan Tian:
FetalExtract-LLM: Structured Information Extraction from Free-Text Fetal MRI Reports Based on Privacy-Ensuring Open-Weights Large Language Models. PIPPI@MICCAI 2025: 119-129 - [i14]Pablo Garcia-Fernandez, Lorenzo Vaquero, Mingxuan Liu, Feng Xue, Daniel Cores, Nicu Sebe, Manuel Mucientes, Elisa Ricci:
Superpowering Open-Vocabulary Object Detectors for X-ray Vision. CoRR abs/2503.17071 (2025) - [i13]Mingxuan Liu, Tyler L. Hayes, Massimiliano Mancini, Elisa Ricci, Riccardo Volpi, Gabriela Csurka:
Test-time Vocabulary Adaptation for Language-driven Object Detection. CoRR abs/2506.00333 (2025) - [i12]Jun Li, Che Liu, Wenjia Bai, Mingxuan Liu, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel:
Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding. CoRR abs/2508.04572 (2025) - [i11]Zihan Li, Yixiao Xu, Lei Zhang, Taiyu Han, Xinshan Yang, Yingni Wang, Mingxuan Liu, Shenghai Xin, Linxun Liu, Hongen Liao, Guochen Ning:
Beyond hospital reach: Autonomous lightweight ultrasound robot for liver sonography. CoRR abs/2510.08106 (2025) - [i10]Mingxuan Liu, Honglin He, Elisa Ricci, Wayne Wu, Bolei Zhou:
UrbanVerse: Scaling Urban Simulation by Watching City-Tour Videos. CoRR abs/2510.15018 (2025) - [i9]Mingxuan Liu, Yilin Ning, Haoyuan Wang, Chuan Hong, Matthew Engelhard, Danielle S. Bitterman, William G. La Cava, Nan Liu:
Equitable Survival Prediction: A Fairness-Aware Survival Modeling (FASM) Approach. CoRR abs/2510.20629 (2025) - 2024
- [j3]Xinxu Lin, Mingxuan Liu, Hong Chen:
Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition. Frontiers Comput. Neurosci. 18 (2024) - [j2]Can Liang, Mingxuan Liu, Yang Li, Yanhua Wang, Xueyao Hu:
LDnADMM-Net: A Denoising Unfolded Deep Neural Network for Direction-of-Arrival Estimations in A Low Signal-to-Noise Ratio. Remote. Sens. 16(3): 554 (2024) - [c6]Mingxuan Liu, Tyler L. Hayes, Elisa Ricci, Gabriela Csurka, Riccardo Volpi:
SHiNe: Semantic Hierarchy Nexus for Open-Vocabulary Object Detection. CVPR 2024: 16634-16644 - [c5]Mingxuan Liu, Subhankar Roy, Wenjing Li, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Democratizing Fine-grained Visual Recognition with Large Language Models. ICLR 2024 - [c4]Mingxuan Liu, Subhankar Roy, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Large-Scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery. ICPR (16) 2024: 126-142 - [i8]Mingxuan Liu, Subhankar Roy, Wenjing Li, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Democratizing Fine-grained Visual Recognition with Large Language Models. CoRR abs/2401.13837 (2024) - [i7]Mingxuan Liu, Tyler L. Hayes, Elisa Ricci, Gabriela Csurka, Riccardo Volpi:
SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection. CoRR abs/2405.10053 (2024) - [i6]Platon Lukyanenko, Joshua Mayourian, Mingxuan Liu, John K. Triedman, Sunil J. Ghelani, William G. La Cava:
Benchmarking mortality risk prediction from electrocardiograms. CoRR abs/2406.17002 (2024) - [i5]Mingxuan Liu, Zhun Zhong, Jun Li, Gianni Franchi, Subhankar Roy, Elisa Ricci:
Organizing Unstructured Image Collections using Natural Language. CoRR abs/2410.05217 (2024) - [i4]Kegang Wang, Jiankai Tang, Yantao Wei, Mingxuan Liu, Xin Liu, Yuntao Wang:
A Plug-and-Play Temporal Normalization Module for Robust Remote Photoplethysmography. CoRR abs/2411.15283 (2024) - 2023
- [c3]Han Yuan, Mingxuan Liu, Lican Kang, Chenkui Miao, Ying Wu:
An Empirical Study of the Effect of Background Data Size on the Stability of SHapley Additive exPlanations (SHAP) for Deep Learning Models. Tiny Papers @ ICLR 2023 - [i3]Mingxuan Liu, Subhankar Roy, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery. CoRR abs/2303.15975 (2023) - 2022
- [c2]Mingxuan Jia, Yun Xiao, Jingying Zhang, Lei Zhang, Mingxuan Liu, Yuchuan Wang, Jieyi Li, Yong Wang:
Chinese Medicine Tongue Recognition under Data Scarcity Based on the Xingbaohui Platform. BIBM 2022: 3669-3673 - [c1]Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Class-Incremental Novel Class Discovery. ECCV (33) 2022: 317-333 - [i2]Han Yuan, Mingxuan Liu, Lican Kang, Chenkui Miao, Ying Wu:
An empirical study of the effect of background data size on the stability of SHapley Additive exPlanations (SHAP) for deep learning models. CoRR abs/2204.11351 (2022) - [i1]Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Class-incremental Novel Class Discovery. CoRR abs/2207.08605 (2022) - 2020
- [j1]Xiaoguang Lin, Mingxuan Liu, Ju Zhang:
A Top-Down Binary Hierarchical Topic Model for Biomedical Literature. IEEE Access 8: 59870-59882 (2020)
Coauthor Index
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