| 2026 | ASPDAC | MOTIF-RF: Multi-template On-chip Transformer Synthesis Incorporating Frequency-domain Self-transfer Learning for RFIC Design Automation. | Houbo He, Yizhou Xu, Lei Xia, Yaolong Hu, Fan Cai, Taiyun Chi |
| 2025 | COLT | Fundamental Limits of Matrix Sensing: Exact Asymptotics, Universality, and Applications. | Yizhou Xu, Antoine Maillard, Lenka Zdeborov, Florent Krzakala |
| 2025 | CVPR | Skor-xG: SKeleton-ORiented Expected Goal Estimation in Soccer. | Yizhou Xu, Lars Bretzner, Tiesheng Wang, Atsuto Maki |
| 2025 | ICLR | Remove Symmetries to Control Model Expressivity and Improve Optimization. | Liu Ziyin, Yizhou Xu, Isaac L. Chuang |
| 2025 | ICLR | Three Mechanisms of Feature Learning in a Linear Network. | Yizhou Xu, Ziyin Liu |
| 2025 | ISIT | The Error Probability of Spatially Coupled Sparse Regression Codes Over Memoryless Channels. | Yuhao Liu, Yizhou Xu, TianQi Hou |
| 2024 | ICASSP | Decentralizing Coherent Joint Transmission Precoding Via Deterministic Equivalents. | Yuhao Liu, Xinyu Bian, Yizhou Xu, Tianqi Hou, Wenjie Wang, Yuyi Mao, Jun Zhang |
| 2024 | ICRA | Continual Driving Policy Optimization with Closed-Loop Individualized Curricula. | Haoyi Niu, Yizhou Xu, Xingjian Jiang, Jianming Hu |
| 2023 | ISIT | Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing. | Yizhou Xu, Yuhao Liu, Shansuo Liang, Ting-Yi Wu, Bo Bai, Jean Barbier, TianQi Hou |
| 2023 | ITW | Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models. | Yizhou Xu, TianQi Hou, Shansuo Liang, Marco Mondelli |
| 2023 | RANLP | Comparative Analysis of Anomaly Detection Algorithms in Text Data. | Yizhou Xu, Kata Gbor, Jrme Milleret, Frdrique Segond |