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ORCIDYizhou Xu
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Journal Articles
- 2020
[j2]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): 1070-1075 (2020)- 2019
- [j1]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. 20-S(22): 713 (2019)
Conference and Workshop Papers
- 2024
- [c11]Yuhao Liu, Xinyu Bian, Yizhou Xu, Tianqi Hou, Wenjie Wang, Yuyi Mao, Jun Zhang:
Decentralizing Coherent Joint Transmission Precoding Via Deterministic Equivalents. ICASSP 2024: 8936-8940 - [c10]Haoyi Niu, Yizhou Xu, Xingjian Jiang, Jianming Hu:
Continual Driving Policy Optimization with Closed-Loop Individualized Curricula. ICRA 2024: 6850-6857 - 2023
- [c9]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: 31-35 - [c8]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: 785-790 - [c7]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: 1-5 - [c6]Yizhou Xu, TianQi Hou, Shansuo Liang, Marco Mondelli:
Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models. ITW 2023: 294-298 - [c5]Haoyi Niu, Kun Ren, Yizhou Xu, Ziyuan Yang, Yichen Lin, Yi Zhang, Jianming Hu:
(Re)2H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning. IV 2023: 1-8 - [c4]Yizhou Xu, Kata Gábor, Jérôme Milleret, Frédérique Segond:
Comparative Analysis of Anomaly Detection Algorithms in Text Data. RANLP 2023: 1234-1245 - 2022
- [c3]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: 13-31 - [c2]Yizhou Xu, Teng Fu, Yuhao Liu, Tianqi Hou:
On Capacity Achieving of Sparse Regression Code with the Row-Orthogonal Matrix. ICCT 2022: 963-968 - [c1]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: 42-53
Informal and Other Publications
- 2024
- [i11]Yizhou Xu, Ziyin Liu:
When Does Feature Learning Happen? Perspective from an Analytically Solvable Model. CoRR abs/2401.07085 (2024) - [i10]Yuhao Liu, Xinyu Bian, Yizhou Xu, Tianqi Hou, Wenjie Wang, Yuyi Mao, Jun Zhang:
Decentralizing Coherent Joint Transmission Precoding via Deterministic Equivalents. CoRR abs/2403.09958 (2024) - [i9]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 abs/2403.19127 (2024) - [i8]Jean Barbier, Francesco Camilli, Marco Mondelli, Yizhou Xu:
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise. CoRR abs/2405.20993 (2024) - [i7]Ziyin Liu, Yizhou Xu, Isaac Chuang:
Remove Symmetries to Control Model Expressivity. CoRR abs/2408.15495 (2024) - [i6]Yuhao Liu, Yizhou Xu, Tianqi Hou:
The Error Probability of Spatially Coupled Sparse Regression Codes over Memoryless Channels. CoRR abs/2409.05745 (2024) - 2023
- [i5]Haoyi Niu, Kun Ren, Yizhou Xu, Ziyuan Yang, Yichen Lin, Yi Zhang, Jianming Hu:
(Re)2H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning. CoRR abs/2302.13726 (2023) - [i4]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 abs/2303.08406 (2023) - [i3]Haoyi Niu, Yizhou Xu, Xingjian Jiang, Jianming Hu:
Continual Driving Policy Optimization with Closed-Loop Individualized Curricula. CoRR abs/2309.14209 (2023) - 2022
- [i2]Haidong Xie, Yizhou Xu, Yuanqing Chen, Nan Ji, Shuai Yuan, Naijin Liu, Xueshuang Xiang:
Adversarial Jamming for a More Effective Constellation Attack. CoRR abs/2201.08052 (2022) - [i1]Yizhou Xu, Tianqi Hou, Shansuo Liang, Marco Mondelli:
Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models. CoRR abs/2212.01572 (2022)
Coauthor Index
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