Yizhou Xu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Message Passing

Neural Architecture

Sparse Regression

Top Venues

Publications

Yuhao Liu, Xinyu Bian, Yizhou Xu, Tianqi Hou, Wenjie Wang, Yuyi Mao, Jun Zhang
Decentralizing Coherent Joint Transmission Precoding Via Deterministic Equivalents. ICASSP (2024)
Yizhou Xu, Liu Ziyin
When Does Feature Learning Happen? Perspective from an Analytically Solvable Model. CoRR (2024)
Yuhao Liu, Xinyu Bian, Yizhou Xu, Tianqi Hou, Wenjie Wang, Yuyi Mao, Jun Zhang
Decentralizing Coherent Joint Transmission Precoding via Deterministic Equivalents. CoRR (2024)
Xinyu Bian, Yuhao Liu, Yizhou Xu, Tianqi Hou, Wenjie Wang, Yuyi Mao, Jun Zhang
Decentralizing Coherent Joint Transmission Precoding via Fast ADMM with Deterministic Equivalents. CoRR (2024)
Jean Barbier, Francesco Camilli, Marco Mondelli, Yizhou Xu
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise. CoRR (2024)
Haoyi Niu, Yizhou Xu, Xingjian Jiang, Jianming Hu
Continual Driving Policy Optimization with Closed-Loop Individualized Curricula. ICRA (2024)
Haoyi Niu, Kun Ren, Yizhou Xu, Ziyuan Yang, Yichen Lin, Yi Zhang, Jianming Hu
H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning. CoRR (2023)
Yizhou Xu, TianQi Hou, Shansuo Liang, Marco Mondelli
Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models. ITW (2023)
Yizhou Xu, Yuhao Liu, Shansuo Liang, Ting-Yi Wu, Bo Bai, Jean Barbier, TianQi Hou
Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing. ISIT (2023)
Yizhou Xu, Kata Gábor, Jérôme Milleret, Frédérique Segond
Comparative Analysis of Anomaly Detection Algorithms in Text Data. RANLP (2023)
Haoyi Niu, Yizhou Xu, Xingjian Jiang, Jianming Hu
Continual Driving Policy Optimization with Closed-Loop Individualized Curricula. CoRR (2023)
Junjie Huang, Yangfan Deng, Qinghua Guo, Yizhou Xu, Qingtao Pan, Yong Zhao
Smile Recognition Based on Comprehensive Dataset Construction and Bayesian Neural Architecture Search. ICIGP (2023)
Haoyi Niu, Kun Ren, Yizhou Xu, Ziyuan Yang, Yichen Lin, Yi Zhang, Jianming Hu
H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning. IV (2023)
Chen Fu, Mingxing Guo, Jing Yu, Li Lan, Yizhou Xu, Haoming Liu
Predicting The Number of Hydrogen Fuel Cell Vehicles and Demand of Hydrogen Refueling in Shanghai Based on Diffusion Model. iSPEC (2023)
Yizhou Xu, Yuhao Liu, Shansuo Liang, Ting-Yi Wu, Bo Bob Bai, Jean Barbier, TianQi Hou
Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing. CoRR (2023)
Yizhou Xu, Cai Meng, Yanggang Li, Ning Li, Longfei Ren, Kun Xia
A Self-supervised 3D/2D Registration Method for Incomplete DSA Vessels. BECB (2022)
Haidong Xie, Yizhou Xu, Yuanqing Chen, Nan Ji, Shuai Yuan, Naijin Liu, Xueshuang Xiang
Adversarial Jamming for a More Effective Constellation Attack. CoRR (2022)
Yizhou Xu, Kata Gábor, Leila Khouas, Frédérique Segond
Détection d'anomalies textuelles à base de l'ingénierie d'invite (Prompt Engineering-Based Text Anomaly Detection ). TALN-RECITAL (2022)
Yizhou Xu, Teng Fu, Yuhao Liu, Tianqi Hou
On Capacity Achieving of Sparse Regression Code with the Row-Orthogonal Matrix. ICCT (2022)
Yizhou Xu, Tianqi Hou, Shansuo Liang, Marco Mondelli
Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models. CoRR (2022)
Yizhou Xu, Jiandong Wang, Yan Yu
Alarm Event Prediction From Historical Alarm Flood Sequences Based on Bayesian Estimators. IEEE Trans Autom. Sci. Eng. 17 (2) (2020)
Hang Zhang, Ke Wang, Juan Zhou, Jianhua Chen, Yizhou Xu, Dong Wang, Xiaoqi Li, Renliang Sun, Mancang Zhang, Zhuo Wang, Yongyong Shi
VariFAST: a variant filter by automated scoring based on tagged-signatures. BMC Bioinform. (22) (2019)