Mingxuan Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 54

Top Topics

Clinical Decision Making

Image Deblurring

Top Venues

USENIX Security Symposium

Publications

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) (2024)
Ziwen Wang, Jin Wee Lee, Tanujit Chakraborty, Yilin Ning, Mingxuan Liu, Feng Xie, Marcus Eng Hock Ong, Nan Liu
Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission. CoRR (2024)
Siwei Li, Mingxuan Liu, Yating Zhang, Shu Chen, Haoxiang Li, Zifei Dou, Hong Chen
SAM-DEBLUR: Let Segment Anything Boost Image Deblurring. ICASSP (2024)
Mingxuan Liu, Yilin Ning, Yuhe Ke, Yuqing Shang, Bibhas Chakraborty, Marcus Eng Hock Ong, Roger Vaughan, Nan Liu
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare. CoRR (2024)
Rui Yang, Yilin Ning, Emilia Keppo, Mingxuan Liu, Chuan Hong, Danielle S. Bitterman, Jasmine Chiat Ling Ong, Daniel Shu Wei Ting, Nan Liu
Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine. CoRR (2024)
Mingxuan Liu, Tyler L. Hayes, Elisa Ricci, Gabriela Csurka, Riccardo Volpi
SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection. CoRR (2024)
Guodong Sun, Junjie Liu, Mingxuan Liu, Moyun Liu, Yang Zhang
Multiple Prior Representation Learning for Self-Supervised Monocular Depth Estimation via Hybrid Transformer. CoRR (2024)
Jianhua Gu, Mingxuan Liu, Tianhai Zhao
Enhancing campus OS community engagement through the miniOS pilot class: A nine-year journey. Future Gener. Comput. Syst. 160 (2024)
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
Towards Clinical AI Fairness: Filling Gaps in the Puzzle. CoRR (2024)
Mingxuan Liu, Sukyoung Choi, Do Own (Donna) Kim, Dmitri Williams
Connecting in-game performance, need satisfaction, and psychological well-being: A comparison of older and younger players in World of Tanks. New Media Soc. 26 (2) (2024)
Yijing Liu, Yiming Zhang, Baojun Liu, Haixin Duan, Qiang Li, Mingxuan Liu, Ruixuan Li, Jia Yao
Tickets or Privacy? Understand the Ecosystem of Chinese Ticket Grabbing Apps. USENIX Security Symposium (2024)
Platon Lukyanenko, Joshua Mayourian, Mingxuan Liu, John K. Triedman, Sunil J. Ghelani, William G. La Cava
Benchmarking mortality risk prediction from electrocardiograms. CoRR (2024)
Mingxuan Liu, Subhankar Roy, Wenjing Li, Zhun Zhong, Nicu Sebe, Elisa Ricci
Democratizing Fine-grained Visual Recognition with Large Language Models. ICLR (2024)
Mingxuan Liu, Yunrui Jiao, Jingqiao Lu, Hong Chen
Anomaly Detection for Medical Images Using Teacher-Student Model With Skip Connections and Multiscale Anomaly Consistency. IEEE Trans. Instrum. Meas. 73 (2024)
Mingxuan Liu, Jiankai Tang, Haoxiang Li, Jiahao Qi, Siwei Li, Kegang Wang, Yuntao Wang, Hong Chen
Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer. CoRR (2024)
Guodong Sun, Junjie Liu, Mingxuan Liu, Moyun Liu, Yang Zhang
Multiple prior representation learning for self-supervised monocular depth estimation via hybrid transformer. Eng. Appl. Artif. Intell. 135 (2024)
Mingxuan Liu, Subhankar Roy, Wenjing Li, Zhun Zhong, Nicu Sebe, Elisa Ricci
Democratizing Fine-grained Visual Recognition with Large Language Models. CoRR (2024)
Yunyi Zhang, Mingxuan Liu, Baojun Liu, Yiming Zhang, Haixin Duan, Min Zhang, Hui Jiang, Yanzhe Li, Fan Shi
Into the Dark: Unveiling Internal Site Search Abused for Black Hat SEO. USENIX Security Symposium (2024)
Jingqiao Lu, Mingxuan Liu, Hong Chen
PRTMTM: A Priori Regularization Method for Tooth-Marked Tongue Classification. ISCAS (2023)
Mingxuan Liu, Subhankar Roy, Zhun Zhong, Nicu Sebe, Elisa Ricci
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery. CoRR (2023)
Mingxuan Liu, Zihan Zhang, Yiming Zhang, Chao Zhang, Zhou Li, Qi Li, Haixin Duan, Donghong Sun
Automatic Generation of Adversarial Readable Chinese Texts. IEEE Trans. Dependable Secur. Comput. 20 (2) (2023)
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
Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist. CoRR (2023)
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
A translational perspective towards clinical AI fairness. npj Digit. Medicine 6 (2023)
Mingxuan Liu, Jianhua Gu, Zhenhao Guo, Tianhai Zhao
AempOS: An Educational Multiprocessor Operating System. Computer 56 (11) (2023)
Mingxuan Liu, Yunrui Jiao, Hong Chen
Skip-ST: Anomaly Detection for Medical Images Using Student-Teacher Network with Skip Connections. ISCAS (2023)
Han Yuan, Jin Wee Lee, Mingxuan Liu, Siqi Li, Chenglin Niu, Jun Wen, Feng Xie
Interpretable Machine Learning-Based Risk Scoring with Individual and Ensemble Model Selection for Clinical Decision Making. Tiny Papers @ ICLR (2023)
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
FedScore: A privacy-preserving framework for federated scoring system development. J. Biomed. Informatics 146 (2023)
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)
Mingxuan Liu, Rui Wen, Hong Chen
Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks. CoRR (2023)
Sukyoung Choi, Mingxuan Liu, Jingyi Sun, Ke M. Huang-Isherwood
Who benefits from directed communication? Communication directionality, network structures, and perceived social capital in an online game. Comput. Hum. Behav. 147 (2023)
Zhenrui Zhang, Geng Hong, Xiang Li, Zhuoqun Fu, Jia Zhang, Mingxuan Liu, Chuhan Wang, Jianjun Chen, Baojun Liu, Haixin Duan, Chao Zhang, Min Yang
Under the Dark: A Systematical Study of Stealthy Mining Pools (Ab)use in the Wild. CCS (2023)
Siwei Li, Mingxuan Liu, Yating Zhang, Shu Chen, Haoxiang Li, Hong Chen, Zifei Dou
SAM-Deblur: Let Segment Anything Boost Image Deblurring. CoRR (2023)
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
Towards clinical AI fairness: A translational perspective. CoRR (2023)
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
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. Artif. Intell. Medicine 142 (2023)
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
FedScore: A privacy-preserving framework for federated scoring system development. CoRR (2023)
Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci
Class-Incremental Novel Class Discovery. ECCV (33) (2022)
Zhuoqun Fu, Mingxuan Liu, Yue Qin, Jia Zhang, Yuan Zou, Qilei Yin, Qi Li, Haixin Duan
Encrypted Malware Traffic Detection via Graph-based Network Analysis. RAID (2022)
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)
Mingxuan Liu, Yunrui Jiao, Hongyu Gu, Jingqiao Lu, Hong Chen
Data Augmentation Using Image-to-image Translation for Tongue Coating Thickness Classification with Imbalanced Data. BioCAS (2022)
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 (2022)
Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci
Class-incremental Novel Class Discovery. CoRR (2022)
Yiming Zhang, Mingxuan Liu, Mingming Zhang, Chaoyi Lu, Haixin Duan
Ethics in Security Research: Visions, Reality, and Paths Forward. EuroS&P Workshops (2022)
Chuyun Deng, Mingxuan Liu, Yue Qin, Jia Zhang, Hai-Xin Duan, Donghong Sun
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model. NAACL-HLT (2022)
Mingxuan Liu, Jianhua Gu
uCleaner: An Efficient Adaptive Garbage Collection Mechanism for KV-Separated LSM-Stores. DSIT (2022)
Mingxuan Liu, Yiming Zhang, Baojun Liu, Haixin Duan
Exploring the Characteristics and Security Risks of Emerging Emoji Domain Names. ESORICS (3) (2022)
Mingxuan Liu, Yilin Ning, Han Yuan, Marcus Eng Hock Ong, Nan Liu
Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making. CoRR (2022)
Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Victor Volovici, Bibhas Chakraborty, Nan Liu
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. CoRR (2022)
Yilin Ning, Mingxuan Liu, Nan Liu
Shapley variable importance cloud for machine learning models. CoRR (2022)
Mingxuan Liu, Yiming Zhang, Baojun Liu, Zhou Li, Haixin Duan, Donghong Sun
Detecting and Characterizing SMS Spearphishing Attacks. ACSAC (2021)
Yiming Zhang, Baojun Liu, Chaoyi Lu, Zhou Li, Haixin Duan, Shuang Hao, Mingxuan Liu, Ying Liu, Dong Wang, Qiang Li
Lies in the Air: Characterizing Fake-base-station Spam Ecosystem in China. CCS (2020)
Xiaoguang Lin, Mingxuan Liu, Ju Zhang
A Top-Down Binary Hierarchical Topic Model for Biomedical Literature. IEEE Access 8 (2020)
Zihan Zhang, Mingxuan Liu, Chao Zhang, Yiming Zhang, Zhou Li, Qi Li, Haixin Duan, Donghong Sun
Argot: Generating Adversarial Readable Chinese Texts. IJCAI (2020)
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
Casino royale: a deep exploration of illegal online gambling. ACSAC (2019)
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
TL;DR Hazard: A Comprehensive Study of Levelsquatting Scams. SecureComm (2) (2019)