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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
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
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
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
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
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 - [i20]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) - [i19]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) - [i18]Mingxuan Liu, Yilin Ning
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare. CoRR abs/2403.05235 (2024) - [i17]Ziwen Wang, Jin Wee Lee, Tanujit Chakraborty, Yilin Ning
Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission. CoRR abs/2403.06999 (2024) - [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]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) - 2023
- [j7]Mingxuan Liu, Siqi Li, Han Yuan
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. Artif. Intell. Medicine 142: 102587 (2023) - [j6]Sukyoung Choi
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
AempOS: An Educational Multiprocessor Operating System. Computer 56(11): 39-47 (2023) - [j4]Siqi Li
FedScore: A privacy-preserving framework for federated scoring system development. J. Biomed. Informatics 146: 104485 (2023) - [j3]Mingxuan Liu, Yilin Ning
A translational perspective towards clinical AI fairness. npj Digit. Medicine 6 (2023) - [j2]Mingxuan Liu
Automatic Generation of Adversarial Readable Chinese Texts. IEEE Trans. Dependable Secur. Comput. 20(2): 1756-1770 (2023) - [c18]Zhenrui Zhang, Geng Hong, Xiang Li
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
FedScore: A privacy-preserving framework for federated scoring system development. CoRR abs/2303.00282 (2023) - [i10]Mingxuan Liu, Subhankar Roy
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery. CoRR abs/2303.15975 (2023) - [i9]Mingxuan Liu, Yilin Ning
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
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
Data Augmentation Using Image-to-image Translation for Tongue Coating Thickness Classification with Imbalanced Data. BioCAS 2022: 90-94 - [c11]Mingxuan Liu
uCleaner: An Efficient Adaptive Garbage Collection Mechanism for KV-Separated LSM-Stores. DSIT 2022: 1-6 - [c10]Subhankar Roy
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
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
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
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
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
Argot: Generating Adversarial Readable Chinese Texts. IJCAI 2020: 2533-2539
2010 – 2019
- 2019
- [c2]Hao Yang, Kun Du, Yubao Zhang, Shuang Hao, Zhou Li
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 2024-10-18 19:30 CEST by the dblp team
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