FSPN: A New Class of Probabilistic Graphical Model. - Ziniu Wu; Rong Zhu; Andreas Pfadler; Yuxing Han 002; Jiangneng Li; Zhengping Qian; Kai Zeng; Jingren Zhou (CoRR, 2020)

FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. - Rong Zhu; Ziniu Wu; Yuxing Han 002; Kai Zeng 002; Andreas Pfadler; Zhengping Qian; Jingren Zhou; Bin Cui 001 (CoRR, 2020)

BayesCard: A Unified Bayesian Framework for Cardinality Estimation. - Ziniu Wu; Amir Shaikhha (CoRR, 2020)

PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning. - Zhi Xu; Shuncheng Liu 001; Ziniu Wu; Xu Chen 023; Kai Zeng 002; Kai Zheng 001; Han Su (CIKM, 2021)

Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications. - Rong Zhu; Andreas Pfadler; Ziniu Wu; Yuxing Han 002; Xiaoke Yang; Feng Ye; Zhenping Qian; Jingren Zhou; Bin Cui 001 (ICDE, 2021)

Complexity and diversity in sparse code priors improve receptive field characterization of Macaque V1 neurons. - Ziniu Wu; Harold Rockwell; Yimeng Zhang; Shiming Tang; Tai Sing Lee (PLoS Comput. Biol., 2021)

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. - Yuxing Han 002; Ziniu Wu; Peizhi Wu; Rong Zhu; Jingyi Yang; Liang Wei Tan; Kai Zeng 002; Gao Cong; Yanzhao Qin; Andreas Pfadler; Zhengping Qian; Jingren Zhou; et al. (Proc. VLDB Endow., 2021)

FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. - Rong Zhu; Ziniu Wu; Yuxing Han 002; Kai Zeng; Andreas Pfadler; Zhengping Qian; Jingren Zhou; Bin Cui 001 (Proc. VLDB Endow., 2021)

A Unified Transferable Model for ML-Enhanced DBMS. - Ziniu Wu; Pei Yu; Peilun Yang; Rong Zhu; Yuxing Han 002; Yaliang Li; Defu Lian; Kai Zeng 002; Jingren Zhou (CIDR, 2022)

HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic. - Shuncheng Liu 001; Xu Chen 023; Ziniu Wu; Liwei Deng 001; Han Su; Kai Zheng 001 (CIKM, 2022)

Learned Query Optimizer: At the Forefront of AI-Driven Databases. - Rong Zhu; Ziniu Wu; Chengliang Chai; Andreas Pfadler; Bolin Ding; Guoliang Li 001; Jingren Zhou (EDBT, 2022)

Connect Your UAV to the Cloud Using Urban 4G and 5G Cellular Networks: Performance Evaluation and Comparison. - Dawei Liu 001; Qiwen Chen; Shuchang Li; Ziniu Wu; Liqi Chen; Xu He; Xin Huang; Wei Wang 042 (IEEE Internet Things Mag., 2022)

FactorJoin: A New Cardinality Estimation Framework for Join Queries. - Ziniu Wu; Parimarjan Negi; Mohammad Alizadeh; Tim Kraska; Samuel Madden 001 (Proc. ACM Manag. Data, 2023)

Extract-Transform-Load for Video Streams. - Ferdinand Kossmann; Ziniu Wu; Eugenie Lai; Nesime Tatbul; Lei Cao 004; Tim Kraska; Sam Madden (Proc. VLDB Endow., 2023)

Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes. - Tim Kraska; Tianyu Li 001; Samuel Madden 001; Markos Markakis; Amadou Ngom; Ziniu Wu; Geoffrey X. Yu (Proc. VLDB Endow., 2023)

Robust Query Driven Cardinality Estimation under Changing Workloads. - Parimarjan Negi; Ziniu Wu; Andreas Kipf; Nesime Tatbul; Ryan Marcus; Sam Madden; Tim Kraska; Mohammad Alizadeh (Proc. VLDB Endow., 2023)

Lero: A Learning-to-Rank Query Optimizer. - Rong Zhu; Wei Chen 133; Bolin Ding; Xingguang Chen; Andreas Pfadler; Ziniu Wu; Jingren Zhou (Proc. VLDB Endow., 2023)

Self-supervised Dock Pose Estimator for Unmanned Surface Vehicles Autonomous Docking. - Yijie Chu; Ziniu Wu; Xiaohui Zhu; Yong Yue 001; Eng Gee Lim; Paolo Paoletti (ICMRE, 2024)

Stage: Query Execution Time Prediction in Amazon Redshift. - Ziniu Wu; Ryan Marcus; Zhengchun Liu; Parimarjan Negi; Vikram Nathan; Pascal Pfeil; Gaurav Saxena; Mohammad Rahman; Balakrishnan Narayanaswamy; Tim Kraska (SIGMOD Conference Companion, 2024)

CascadeServe: Unlocking Model Cascades for Inference Serving. - Ferdi Kossmann; Ziniu Wu; Alex Turk; Nesime Tatbul; Lei Cao 004; Samuel Madden 001 (CoRR, 2024)