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Peizhi Wu
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2020 – today
- 2024
- [j7]Peizhi Wu
, Zachary G. Ives
Modeling Shifting Workloads for Learned Database Systems. Proc. ACM Manag. Data 2(1): 38:1-38:27 (2024) - [j6]Peizhi Wu, Yi Zhang, Wang-Chiew Tan, Zachary G. Ives:
QuoteInspector: Gaining Insight about Social Media Discussions. Proc. VLDB Endow. 17(12): 4501-4504 (2024) - [i4]Peizhi Wu, Haoshu Xu, Ryan Marcus, Zachary G. Ives:
A Practical Theory of Generalization in Selectivity Learning. CoRR abs/2409.07014 (2024) - 2023
- [i3]Peizhi Wu, Ryan Marcus, Zachary G. Ives:
Adding Domain Knowledge to Query-Driven Learned Databases. CoRR abs/2312.01025 (2023) - 2022
- [c9]Zizhong Meng, Peizhi Wu, Gao Cong, Rong Zhu, Shuai Ma:
Unsupervised Selectivity Estimation by Integrating Gaussian Mixture Models and an Autoregressive Model. EDBT 2022: 2:247-2:259 - [c8]Jingyi Yang, Peizhi Wu, Gao Cong, Tieying Zhang, Xiao He:
SAM: Database Generation from Query Workloads with Supervised Autoregressive Models. SIGMOD Conference 2022: 1542-1555 - 2021
- [j5]Yuxing Han
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. Proc. VLDB Endow. 15(4): 752-765 (2021) - [c7]Peizhi Wu, Gao Cong:
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation. SIGMOD Conference 2021: 2009-2022 - [i2]Peizhi Wu, Gao Cong:
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation. CoRR abs/2107.12295 (2021) - [i1]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:
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. CoRR abs/2109.05877 (2021)
2010 – 2019
- 2019
- [c6]Hengpeng Xu, Peizhi Wu, Jinmao Wei, Zhenglu Yang
A Meta-Path-Based Recurrent Model for Next POI Prediction with Spatial and Temporal Contexts. APWeb/WAIM (2) 2019: 219-235 - 2018
- [j4]Le Huang
dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation. Nucleic Acids Res. 46(Database-Issue): D516-D521 (2018) - [j3]Han Zhang
dbCAN2: a meta server for automated carbohydrate-active enzyme annotation. Nucleic Acids Res. 46(Webserver-Issue): W95-W101 (2018) - [c5]Peizhi Wu, Yi Tu, Xiaojie Yuan, Adam Jatowt
Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks. IJCAI 2018: 1632-1638 - [c4]Peizhi Wu, Yi Tu, Zhenglu Yang
Deep Modeling of the Evolution of User Preferences and Item Attributes in Dynamic Social Networks. WWW (Companion Volume) 2018: 115-116 - 2017
- [j2]Peizhi Wu
Resource Allocation for Multicarrier Device-to-Device Video Transmission: Symbol Error Rate Analysis and Algorithm Design. IEEE Trans. Commun. 65(10): 4446-4462 (2017) - [j1]Peizhi Wu
Subcarrier Assignment and Power Allocation for Device-to-Device Video Transmission in Rayleigh Fading Channels. IEEE Trans. Wirel. Commun. 16(9): 5967-5981 (2017) - 2016
- [b1]Peizhi Wu:
Performance Analysis and Resource Allocation for Device-to-Device Video Transmission. University of California, San Diego, USA, 2016 - [c3]Peizhi Wu, Pamela C. Cosman
Resource Allocation for Multicarrier D2D Video Transmission Based on Exact Symbol Error Rate. GLOBECOM 2016: 1-7 - 2015
- [c2]Peizhi Wu, Prasad Shamain, Sayantan Choudhury, Klaus Doppler:
I/Q Imbalance Estimation for Direct Conversion Receivers by Jointly Using the Existing Preambles and Blind Estimation. GLOBECOM 2015: 1-6 - 2013
- [c1]Yichao Shen, Wenwen Zhou, Peizhi Wu, Laura Toni
Device-To-Device Assisted Video Transmission. PV 2013: 1-8
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