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Mingxuan Liu
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2020 – today
- 2024
- [j14]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: 108790 (2024) - [j13]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: 825-834 (2024) - [j12]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): 692-710 (2024) - [j11]Rui Yang, Sabarinath Vinod Nair, Yuhe Ke, Danny D'Agostino, Mingxuan Liu, Yilin Ning, Nan Liu:
Disparities in clinical studies of AI enabled applications from a global perspective. npj Digit. Medicine 7(1) (2024) - [j10]Mingxuan Liu, Yilin Ning, Yuhe Ke, Yuqing Shang, Bibhas Chakraborty, Marcus Eng Hock Ong, Roger Vaughan, Nan Liu:
FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare. Patterns 5(10): 101059 (2024) - [j9]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) - [j8]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: 1-15 (2024) - [c25]Mingxuan Liu, Tyler L. Hayes, Elisa Ricci, Gabriela Csurka, Riccardo Volpi:
SHiNe: Semantic Hierarchy Nexus for Open-Vocabulary Object Detection. CVPR 2024: 16634-16644 - [c24]Mingxuan Liu, Zhenglong Jin, Jiahai Yang, Baoiun Liu, Haixin Duan, Ying Liu, Ximeng Liu, Shujun Tang:
ChatScam: Unveiling the Rising Impact of ChatGPT on Domain Name Abuse. DSN 2024: 507-521 - [c23]Siwei Li, Mingxuan Liu, Yating Zhang, Shu Chen, Haoxiang Li, Zifei Dou, Hong Chen:
SAM-DEBLUR: Let Segment Anything Boost Image Deblurring. ICASSP 2024: 2445-2449 - [c22]Mingxuan Liu, Subhankar Roy, Wenjing Li, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Democratizing Fine-grained Visual Recognition with Large Language Models. ICLR 2024 - [c21]Mingxuan Liu, Yiming Zhang, Xiang Li, Chaoyi Lu, Baojun Liu, Haixin Duan, Xiaofeng Zheng:
Understanding the Implementation and Security Implications of Protective DNS Services. NDSS 2024 - [c20]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 - [c19]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 - [i21]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) - [i20]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 abs/2402.04798 (2024) - [i19]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 abs/2403.05235 (2024) - [i18]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 abs/2403.06999 (2024) - [i17]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) - [i16]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 abs/2405.17921 (2024) - [i15]Guodong Sun, Junjie Liu, Mingxuan Liu, Moyun Liu, Yang Zhang:
Multiple Prior Representation Learning for Self-Supervised Monocular Depth Estimation via Hybrid Transformer. CoRR abs/2406.08928 (2024) - [i14]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 abs/2406.12449 (2024) - [i13]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) - [i12]Mingxuan Liu, Zhun Zhong, Jun Li, Gianni Franchi, Subhankar Roy, Elisa Ricci:
Organizing Unstructured Image Collections using Natural Language. CoRR abs/2410.05217 (2024) - 2023
- [j7]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: 102587 (2023) - [j6]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: 107825 (2023) - [j5]Mingxuan Liu, Jianhua Gu, Zhenhao Guo, Tianhai Zhao:
AempOS: An Educational Multiprocessor Operating System. Computer 56(11): 39-47 (2023) - [j4]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: 104485 (2023) - [j3]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) - [j2]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): 1756-1770 (2023) - [c18]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: 326-340 - [c17]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 - [c16]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 - [c15]Mingxuan Liu, Yunrui Jiao, Hong Chen:
Skip-ST: Anomaly Detection for Medical Images Using Student-Teacher Network with Skip Connections. ISCAS 2023: 1-5 - [c14]Jingqiao Lu, Mingxuan Liu, Hong Chen:
PRTMTM: A Priori Regularization Method for Tooth-Marked Tongue Classification. ISCAS 2023: 1-5 - [i11]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 abs/2303.00282 (2023) - [i10]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) - [i9]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 abs/2304.13493 (2023) - [i8]Mingxuan Liu, Rui Wen, Hong Chen:
Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks. CoRR abs/2308.10187 (2023) - [i7]Siwei Li, Mingxuan Liu, Yating Zhang, Shu Chen, Haoxiang Li, Hong Chen, Zifei Dou:
SAM-Deblur: Let Segment Anything Boost Image Deblurring. CoRR abs/2309.02270 (2023) - [i6]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 abs/2311.02107 (2023) - 2022
- [c13]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 - [c12]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: 90-94 - [c11]Mingxuan Liu, Jianhua Gu:
uCleaner: An Efficient Adaptive Garbage Collection Mechanism for KV-Separated LSM-Stores. DSIT 2022: 1-6 - [c10]Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Class-Incremental Novel Class Discovery. ECCV (33) 2022: 317-333 - [c9]Mingxuan Liu, Yiming Zhang, Baojun Liu, Haixin Duan:
Exploring the Characteristics and Security Risks of Emerging Emoji Domain Names. ESORICS (3) 2022: 186-206 - [c8]Yiming Zhang, Mingxuan Liu, Mingming Zhang, Chaoyi Lu, Haixin Duan:
Ethics in Security Research: Visions, Reality, and Paths Forward. EuroS&P Workshops 2022: 538-545 - [c7]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: 1735-1746 - [c6]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: 495-509 - [i5]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) - [i4]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 abs/2206.04050 (2022) - [i3]Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Class-incremental Novel Class Discovery. CoRR abs/2207.08605 (2022) - [i2]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 abs/2210.08258 (2022) - [i1]Yilin Ning, Mingxuan Liu, Nan Liu:
Shapley variable importance cloud for machine learning models. CoRR abs/2212.08370 (2022) - 2021
- [c5]Mingxuan Liu, Yiming Zhang, Baojun Liu, Zhou Li, Haixin Duan, Donghong Sun:
Detecting and Characterizing SMS Spearphishing Attacks. ACSAC 2021: 930-943 - 2020
- [j1]Xiaoguang Lin, Mingxuan Liu, Ju Zhang:
A Top-Down Binary Hierarchical Topic Model for Biomedical Literature. IEEE Access 8: 59870-59882 (2020) - [c4]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: 521-534 - [c3]Zihan Zhang, Mingxuan Liu, Chao Zhang, Yiming Zhang, Zhou Li, Qi Li, Haixin Duan, Donghong Sun:
Argot: Generating Adversarial Readable Chinese Texts. IJCAI 2020: 2533-2539
2010 – 2019
- 2019
- [c2]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: 500-513 - [c1]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: 3-25
Coauthor Index
aka: Haixin Duan
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last updated on 2024-11-19 20:47 CET by the dblp team
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