Yizhou Xu
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
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Bibliography
2025
Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions.
CoRR, May, 2025
Neural Thermodynamics I: Entropic Forces in Deep and Universal Representation Learning.
CoRR, May, 2025
Parameter Symmetry Breaking and Restoration Determines the Hierarchical Learning in AI Systems.
CoRR, February, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
Fundamental Limits of Matrix Sensing: Exact Asymptotics, Universality, and Applications.
Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025
2024
Dynamic adversarial jamming-based reinforcement learning for designing constellations.
Digit. Commun. Networks, 2024
The Error Probability of Spatially Coupled Sparse Regression Codes over Memoryless Channels.
CoRR, 2024
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise.
CoRR, 2024
Decentralizing Coherent Joint Transmission Precoding via Fast ADMM with Deterministic Equivalents.
CoRR, 2024
CoRR, 2024
A 64-GBaud 64-QAM Optical Coherent Transmitter with Monolithically Integrated Driver and I/Q Modulator in 45-nm SOI CMOS.
Proceedings of the IEEE International Conference on Integrated Circuits, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Phase Analysis Based Vessel Recompletion with Incomplete DSA for Dynamic Coronary Roadmap.
Proceedings of the 17th International Congress on Image and Signal Processing, 2024
2023
Interpreting Machine Learning-Based Intrusion Detection in IoT Using Explainable AI: A Case Study with Explainable Boosting Machine.
J. Comput. Sci. Coll., 2023
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023
(Re)<sup>2</sup>H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models.
Proceedings of the IEEE Information Theory Workshop, 2023
Predicting The Number of Hydrogen Fuel Cell Vehicles and Demand of Hydrogen Refueling in Shanghai Based on Diffusion Model.
Proceedings of the IEEE Sustainable Power and Energy Conference, 2023
Proceedings of the IEEE International Symposium on Information Theory, 2023
Smile Recognition Based on Comprehensive Dataset Construction and Bayesian Neural Architecture Search.
Proceedings of the 6th International Conference on Image and Graphics Processing, 2023
2022
Détection d'anomalies textuelles à base de l'ingénierie d'invite (Prompt Engineering-Based Text Anomaly Detection ).
Proceedings of the Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2022
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022
Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022
2020
Alarm Event Prediction From Historical Alarm Flood Sequences Based on Bayesian Estimators.
IEEE Trans Autom. Sci. Eng., 2020
2019
BMC Bioinform., 2019