Mingxuan Liu

According to our database, Mingxuan Liu authored at least 39 papers between 2019 and 2024.

Collaborative distances:

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

2024

LDnADMM-Net: A Denoising Unfolded Deep Neural Network for Direction-of-Arrival Estimations in A Low Signal-to-Noise Ratio.

Can Liang, Mingxuan Liu, Yang Li, Yanhua Wang, Xueyao Hu

Remote. Sens., February, 2024

Connecting in-game performance, need satisfaction, and psychological well-being: A comparison of older and younger players in World of Tanks.

Mingxuan Liu, Sukyoung Choi, Do Own (Donna) Kim, Dmitri Williams

New Media Soc., February, 2024

Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission.

Ziwen Wang, Jin Wee Lee, Tanujit Chakraborty, Yilin Ning, Mingxuan Liu, Feng Xie, Marcus Eng Hock Ong, Nan Liu

CoRR, 2024

Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare.

Mingxuan Liu, Yilin Ning, Yuhe Ke, Yuqing Shang, Bibhas Chakraborty, Marcus Eng Hock Ong, Roger Vaughan, Nan Liu

CoRR, 2024

Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer.

Mingxuan Liu, Jiankai Tang, Haoxiang Li, Jiahao Qi, Siwei Li, Kegang Wang, Yuntao Wang, Hong Chen

CoRR, 2024

Democratizing Fine-grained Visual Recognition with Large Language Models.

Mingxuan Liu, Subhankar Roy, Wenjing Li, Zhun Zhong, Nicu Sebe, Elisa Ricci

CoRR, 2024

2023

AempOS: An Educational Multiprocessor Operating System.

Mingxuan Liu, Jianhua Gu, Zhenhao Guo, Tianhai Zhao

Computer, November, 2023

FedScore: A privacy-preserving framework for federated scoring system development.

Siqi Li, Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Chuan Hong, Feng Xie, Han Yuan, Mingxuan Liu, Daniel M. Buckland, Yong Chen, Nan Liu

J. Biomed. Informatics, October, 2023

Who benefits from directed communication? Communication directionality, network structures, and perceived social capital in an online game.

Sukyoung Choi, Mingxuan Liu, Jingyi Sun, Ke M. Huang-Isherwood

Comput. Hum. Behav., October, 2023

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.

Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Yuqing Shang, Victor Volovici, Bibhas Chakraborty, Nan Liu

Artif. Intell. Medicine, August, 2023

Automatic Generation of Adversarial Readable Chinese Texts.

Mingxuan Liu, Zihan Zhang, Yiming Zhang, Chao Zhang, Zhou Li, Qi Li, Haixin Duan, Donghong Sun

IEEE Trans. Dependable Secur. Comput., 2023

A translational perspective towards clinical AI fairness.

Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu

npj Digit. Medicine, 2023

Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist.

Yilin Ning, Salinelat Teixayavong, Yuqing Shang, Julian Savulescu, Vaishaanth Nagaraj, Di Miao, Mayli Mertens, Daniel Shu Wei Ting, Jasmine Chiat Ling Ong, Mingxuan Liu, Jiuwen Cao, Michael Dunn, Roger Vaughan, Marcus Eng Hock Ong, Joseph Jao-Yiu Sung, Eric J. Topol, Nan Liu

CoRR, 2023

SAM-Deblur: Let Segment Anything Boost Image Deblurring.

Siwei Li, Mingxuan Liu, Yating Zhang, Shu Chen, Haoxiang Li, Hong Chen, Zifei Dou

CoRR, 2023

Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks.

Mingxuan Liu, Rui Wen, Hong Chen

CoRR, 2023

Towards clinical AI fairness: A translational perspective.

Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu

CoRR, 2023

Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery.

Mingxuan Liu, Subhankar Roy, Zhun Zhong, Nicu Sebe, Elisa Ricci

CoRR, 2023

PRTMTM: A Priori Regularization Method for Tooth-Marked Tongue Classification.

Jingqiao Lu, Mingxuan Liu, Hong Chen

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Skip-ST: Anomaly Detection for Medical Images Using Student-Teacher Network with Skip Connections.

Mingxuan Liu, Yunrui Jiao, Hong Chen

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Interpretable Machine Learning-Based Risk Scoring with Individual and Ensemble Model Selection for Clinical Decision Making.

Han Yuan, Jin Wee Lee, Mingxuan Liu, Siqi Li, Chenglin Niu, Jun Wen, Feng Xie

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

An Empirical Study of the Effect of Background Data Size on the Stability of SHapley Additive exPlanations (SHAP) for Deep Learning Models.

Han Yuan, Mingxuan Liu, Lican Kang, Chenkui Miao, Ying Wu

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Under the Dark: A Systematical Study of Stealthy Mining Pools (Ab)use in the Wild.

Zhenrui Zhang, Geng Hong, Xiang Li, Zhuoqun Fu, Jia Zhang, Mingxuan Liu, Chuhan Wang, Jianjun Chen, Baojun Liu, Haixin Duan, Chao Zhang, Min Yang

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Shapley variable importance cloud for machine learning models.

Yilin Ning, Mingxuan Liu, Nan Liu

CoRR, 2022

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.

Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Victor Volovici, Bibhas Chakraborty, Nan Liu

CoRR, 2022

Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making.

Mingxuan Liu, Yilin Ning, Han Yuan, Marcus Eng Hock Ong, Nan Liu

CoRR, 2022

Encrypted Malware Traffic Detection via Graph-based Network Analysis.

Zhuoqun Fu, Mingxuan Liu, Yue Qin, Jia Zhang, Yuan Zou, Qilei Yin, Qi Li, Haixin Duan

Proceedings of the 25th International Symposium on Research in Attacks, 2022

ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model.

Chuyun Deng, Mingxuan Liu, Yue Qin, Jia Zhang, Hai-Xin Duan, Donghong Sun

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Ethics in Security Research: Visions, Reality, and Paths Forward.

Yiming Zhang, Mingxuan Liu, Mingming Zhang, Chaoyi Lu, Haixin Duan

Proceedings of the IEEE European Symposium on Security and Privacy, 2022

Exploring the Characteristics and Security Risks of Emerging Emoji Domain Names.

Mingxuan Liu, Yiming Zhang, Baojun Liu, Haixin Duan

Proceedings of the Computer Security - ESORICS 2022, 2022

Class-Incremental Novel Class Discovery.

Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci

Proceedings of the Computer Vision - ECCV 2022, 2022

uCleaner: An Efficient Adaptive Garbage Collection Mechanism for KV-Separated LSM-Stores.

Mingxuan Liu, Jianhua Gu

Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

Data Augmentation Using Image-to-image Translation for Tongue Coating Thickness Classification with Imbalanced Data.

Mingxuan Liu, Yunrui Jiao, Hongyu Gu, Jingqiao Lu, Hong Chen

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

Chinese Medicine Tongue Recognition under Data Scarcity Based on the Xingbaohui Platform.

Mingxuan Jia, Yun Xiao, Jingying Zhang, Lei Zhang, Mingxuan Liu, Yuchuan Wang, Jieyi Li, Yong Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Detecting and Characterizing SMS Spearphishing Attacks.

Mingxuan Liu, Yiming Zhang, Baojun Liu, Zhou Li, Haixin Duan, Donghong Sun

Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020

A Top-Down Binary Hierarchical Topic Model for Biomedical Literature.

Xiaoguang Lin, Mingxuan Liu, Ju Zhang

IEEE Access, 2020

Argot: Generating Adversarial Readable Chinese Texts.

Zihan Zhang, Mingxuan Liu, Chao Zhang, Yiming Zhang, Zhou Li, Qi Li, Haixin Duan, Donghong Sun

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Lies in the Air: Characterizing Fake-base-station Spam Ecosystem in China.

Yiming Zhang, Baojun Liu, Chaoyi Lu, Zhou Li, Haixin Duan, Shuang Hao, Mingxuan Liu, Ying Liu, Dong Wang, Qiang Li

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

TL;DR Hazard: A Comprehensive Study of Levelsquatting Scams.

Kun Du, Hao Yang, Zhou Li, Hai-Xin Duan, Shuang Hao, Baojun Liu, Yuxiao Ye, Mingxuan Liu, XiaoDong Su, Guang Liu, Zhifeng Geng, Zaifeng Zhang, Jinjin Liang

Proceedings of the Security and Privacy in Communication Networks, 2019

Casino royale: a deep exploration of illegal online gambling.

Hao Yang, Kun Du, Yubao Zhang, Shuang Hao, Zhou Li, Mingxuan Liu, Haining Wang, Hai-Xin Duan, Yazhou Shi, XiaoDong Su, Guang Liu, Zhifeng Geng, Jianping Wu

Proceedings of the 35th Annual Computer Security Applications Conference, 2019