Peizhi Wu

26 papers A* 1A 1B 3Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Can Large Language Models be a Cardinality Estimator? An Empirical study.
CoRR
Liangzu Liu, Yiyan Wang, Yinjun Wu, Runze Su, Zhuo Chang, Peizhi Wu, Jianjun Chen, Fuxin Jiang, Rui Shi, Bin Cui, Tieying Zhang
2026 A conf
Survivorship Bias in Industrial Database Workloads.
CIDR
Ryan Marcus, Jeffrey Tao, Peizhi Wu, Zijie Zhao
2025 J jnl
A Practical Theory of Generalization in Selectivity Learning.
Proc. VLDB Endow.
Peizhi Wu, Haoshu Xu, Ryan Marcus, Zack Ives
2025 J jnl
Data-Agnostic Cardinality Learning from Imperfect Workloads.
CoRR
Peizhi Wu, Rong Kang, Tieying Zhang, Jianjun Chen, Ryan Marcus, Zachary G. Ives
2025 J jnl
Data-Agnostic Cardinality Learning from Imperfect Workloads.
Proc. VLDB Endow.
Peizhi Wu, Rong Kang, Tieying Zhang, Jianjun Chen, Ryan Marcus, Zack Ives
2024 J jnl
A Practical Theory of Generalization in Selectivity Learning.
CoRR
Peizhi Wu, Haoshu Xu, Ryan Marcus, Zachary G. Ives
2024 J jnl
Modeling Shifting Workloads for Learned Database Systems.
Proc. ACM Manag. Data
Peizhi Wu, Zachary G. Ives
2024 J jnl
QuoteInspector: Gaining Insight about Social Media Discussions.
Proc. VLDB Endow.
Peizhi Wu, Yi Zhang, Wang-Chiew Tan, Zachary G. Ives
2023 J jnl
Adding Domain Knowledge to Query-Driven Learned Databases.
CoRR
Peizhi Wu, Ryan Marcus, Zachary G. Ives
2022 — conf
SAM: Database Generation from Query Workloads with Supervised Autoregressive Models.
SIGMOD Conference
Jingyi Yang, Peizhi Wu, Gao Cong, Tieying Zhang, Xiao He
2022 B conf
Unsupervised Selectivity Estimation by Integrating Gaussian Mixture Models and an Autoregressive Model.
EDBT
Zizhong Meng, Peizhi Wu, Gao Cong, Rong Zhu, Shuai Ma
2021 — conf
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation.
SIGMOD Conference
Peizhi Wu, Gao Cong
2021 J jnl
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation.
CoRR
Peizhi Wu, Gao Cong
2021 J jnl
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation.
CoRR
Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui
2021 J jnl
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation.
Proc. VLDB Endow.
Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui
2019 — conf
A Meta-Path-Based Recurrent Model for Next POI Prediction with Spatial and Temporal Contexts.
APWeb/WAIM (2)
Hengpeng Xu, Peizhi Wu, Jinmao Wei, Zhenglu Yang, Jun Wang
2018 — conf
Deep Modeling of the Evolution of User Preferences and Item Attributes in Dynamic Social Networks.
WWW (Companion Volume)
Peizhi Wu, Yi Tu, Zhenglu Yang, Adam Jatowt, Masato Odagaki
2018 A* conf
Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks.
IJCAI
Peizhi Wu, Yi Tu, Xiaojie Yuan, Adam Jatowt, Zhenglu Yang
2018 J jnl
dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation.
Nucleic Acids Res.
Le Huang, Han Zhang, Peizhi Wu, Sarah Entwistle, Xueqiong Li, Tanner Yohe, Haidong Yi, Zhenglu Yang, Yanbin Yin
2018 J jnl
dbCAN2: a meta server for automated carbohydrate-active enzyme annotation.
Nucleic Acids Res.
Han Zhang, Tanner Yohe, Le Huang, Sarah Entwistle, Peizhi Wu, Zhenglu Yang, Peter Kamp Busk, Ying Xu, Yanbin Yin
2017 J jnl
Resource Allocation for Multicarrier Device-to-Device Video Transmission: Symbol Error Rate Analysis and Algorithm Design.
IEEE Trans. Commun.
Peizhi Wu, Pamela C. Cosman, Laurence B. Milstein
2017 J jnl
Subcarrier Assignment and Power Allocation for Device-to-Device Video Transmission in Rayleigh Fading Channels.
IEEE Trans. Wirel. Commun.
Peizhi Wu, Pamela C. Cosman, Laurence B. Milstein
2016 — —
Performance Analysis and Resource Allocation for Device-to-Device Video Transmission.
Peizhi Wu
2016 B conf
Resource Allocation for Multicarrier D2D Video Transmission Based on Exact Symbol Error Rate.
GLOBECOM
Peizhi Wu, Pamela C. Cosman, Laurence B. Milstein
2015 B conf
I/Q Imbalance Estimation for Direct Conversion Receivers by Jointly Using the Existing Preambles and Blind Estimation.
GLOBECOM
Peizhi Wu, Prasad Shamain, Sayantan Choudhury, Klaus Doppler
2013 — conf
Device-To-Device Assisted Video Transmission.
PV
Yichao Shen, Wenwen Zhou, Peizhi Wu, Laura Toni, Pamela C. Cosman, Laurence B. Milstein