Mingxuan Liu
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
LDnADMM-Net: A Denoising Unfolded Deep Neural Network for Direction-of-Arrival Estimations in A Low Signal-to-Noise Ratio.
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.
New Media Soc., February, 2024
Anomaly Detection for Medical Images Using Teacher-Student Model With Skip Connections and Multiscale Anomaly Consistency.
IEEE Trans. Instrum. Meas., 2024
FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare.
Patterns, 2024
Disparities in clinical studies of AI enabled applications from a global perspective.
npj Digit. Medicine, 2024
Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition.
Frontiers Comput. Neurosci., 2024
Enhancing campus OS community engagement through the miniOS pilot class: A nine-year journey.
Future Gener. Comput. Syst., 2024
Multiple prior representation learning for self-supervised monocular depth estimation via hybrid transformer.
Eng. Appl. Artif. Intell., 2024
A Plug-and-Play Temporal Normalization Module for Robust Remote Photoplethysmography.
CoRR, 2024
CoRR, 2024
Multiple Prior Representation Learning for Self-Supervised Monocular Depth Estimation via Hybrid Transformer.
CoRR, 2024
Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission.
CoRR, 2024
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare.
CoRR, 2024
Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer.
CoRR, 2024
Proceedings of the 33rd USENIX Security Symposium, 2024
Proceedings of the 33rd USENIX Security Symposium, 2024
Understanding the Implementation and Security Implications of Protective DNS Services.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024
Large-Scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 42nd IEEE International Conference on Computer Design, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
J. Biomed. Informatics, October, 2023
Who benefits from directed communication? Communication directionality, network structures, and perceived social capital in an online game.
Comput. Hum. Behav., October, 2023
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.
Artif. Intell. Medicine, August, 2023
IEEE Trans. Dependable Secur. Comput., 2023
Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist.
CoRR, 2023
Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks.
CoRR, 2023
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.
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.
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.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
2022
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.
CoRR, 2022
Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making.
CoRR, 2022
Proceedings of the 25th International Symposium on Research in Attacks, 2022
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the IEEE European Symposium on Security and Privacy, 2022
Proceedings of the Computer Security - ESORICS 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
uCleaner: An Efficient Adaptive Garbage Collection Mechanism for KV-Separated LSM-Stores.
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.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
Chinese Medicine Tongue Recognition under Data Scarcity Based on the Xingbaohui Platform.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021
2020
IEEE Access, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020
2019
Proceedings of the Security and Privacy in Communication Networks, 2019
Proceedings of the 35th Annual Computer Security Applications Conference, 2019