| 2026 | CIDR | Survivorship Bias in Industrial Database Workloads. | Ryan Marcus, Jeffrey Tao, Peizhi Wu, Zijie Zhao |
| 2022 | EDBT | Unsupervised Selectivity Estimation by Integrating Gaussian Mixture Models and an Autoregressive Model. | Zizhong Meng, Peizhi Wu, Gao Cong, Rong Zhu, Shuai Ma |
| 2022 | SIGMOD | SAM: Database Generation from Query Workloads with Supervised Autoregressive Models. | Jingyi Yang, Peizhi Wu, Gao Cong, Tieying Zhang, Xiao He |
| 2021 | SIGMOD | A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation. | Peizhi Wu, Gao Cong |
| 2019 | APWEB | A Meta-Path-Based Recurrent Model for Next POI Prediction with Spatial and Temporal Contexts. | Hengpeng Xu, Peizhi Wu, Jinmao Wei, Zhenglu Yang, Jun Wang |
| 2018 | IJCAI | Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks. | Peizhi Wu, Yi Tu, Xiaojie Yuan, Adam Jatowt, Zhenglu Yang |
| 2018 | WWW | Deep Modeling of the Evolution of User Preferences and Item Attributes in Dynamic Social Networks. | Peizhi Wu, Yi Tu, Zhenglu Yang, Adam Jatowt, Masato Odagaki |
| 2016 | GLOBECOM | Resource Allocation for Multicarrier D2D Video Transmission Based on Exact Symbol Error Rate. | Peizhi Wu, Pamela C. Cosman, Laurence B. Milstein |
| 2015 | GLOBECOM | I/Q Imbalance Estimation for Direct Conversion Receivers by Jointly Using the Existing Preambles and Blind Estimation. | Peizhi Wu, Prasad Shamain, Sayantan Choudhury, Klaus Doppler |