Virtualizing Cloud Data Infrastructures with BRAD. - Yu, Geoffrey X.; Wu, Ziniu; Kossmann, Ferdi; Li, Tianyu; Markakis, Markos; Ngom, Amadou; Zhang, Sophie; Kraska, Tim; Madden, Samuel (2025)

Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries - Extended. - Wu, Ziniu; Markakis, Markos; Liu, Chunwei; Chen, Peter Baile; Narayanaswamy, Balakrishnan; Kraska, Tim; Madden, Samuel (CoRR, 2025)

Tendon-driven Grasper Design for Aerial Robot Perching on Tree Branches. - Li, Haichuan; Zhao, Ziang; Wu, Ziniu; Potdar, Parth; Tran, Long; Karasahin, Ali Tahir; Windsor, Shane; Burrow, Stephen G.; Kocer, Basaran Bahadir (CoRR, 2025)

Maintaining Plasticity in Reinforcement Learning: A Cost-Aware Framework for Aerial Robot Control in Non-stationary Environments. - Karasahin, Ali Tahir; Wu, Ziniu; Kocer, Basaran Bahadir (CoRR, 2025)

Supervised Visual Docking Network for Unmanned Surface Vehicles Using Auto-labeling in Real-world Water Environments. - Chu, Yijie; Wu, Ziniu; Yue, Yong; Lim, Eng Gee; Paoletti, Paolo; Zhu, Xiaohui (CoRR, 2025)

KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes. - Lai, Eugenie; Vitagliano, Gerardo; Zhang, Ziyu; Sudhir, Sivaprasad; Chabra, Om; Zeng, Anna; Zabreyko, Anton A.; Li, Chenning; Kossmann, Ferdi; Ding, Jialin; Chen, Jun; Markakis, Markos; et al. (CoRR, 2025)

Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD. - Yu, Geoffrey X.; Wu, Ziniu; Kossmann, Ferdinand; Li, Tianyu; Markakis, Markos; Ngom, Amadou Latyr; Madden, Samuel; Kraska, Tim (Proc. VLDB Endow., 2024)

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

Immersive Embodied Telemanipulation System with a Velocity Controller. - Wu, Ziniu; Chu, Yijie; Zhu, Xiaohui; Sun, Qilei; Yue, Yong (2024)

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

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

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

Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD - Extended Version. - Yu, Geoffrey X.; Wu, Ziniu; Kossmann, Ferdi; Li, Tianyu; Markakis, Markos; Ngom, Amadou; Madden, Samuel; Kraska, Tim (CoRR, 2024)

AlignBot: Aligning VLM-powered Customized Task Planning with User Reminders Through Fine-Tuning for Household Robots. - Zhaxizhuoma; Chen, Pengan; Wu, Ziniu; Sun, Jiawei; Wang, Dong; Zhou, Peng; Cao, Nieqing; Ding, Yan; Zhao, Bin; Li, Xuelong (CoRR, 2024)

Fast-UMI: A Scalable and Hardware-Independent Universal Manipulation Interface. - Wu, Ziniu; Wang, Tianyu; Zhaxizhuoma; Guan, Chuyue; Jia, Zhongjie; Liang, Shuai; Song, Haoming; Qu, Delin; Wang, Dong; Wang, Zhigang; Cao, Nieqing; Ding, Yan; et al. (CoRR, 2024)

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

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

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

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

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

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

Extract-Transform-Load for Video Streams. - Kossmann, Ferdinand; Wu, Ziniu; Lai, Eugenie; Tatbul, Nesime; Cao, Lei; Kraska, Tim; Madden, Samuel (CoRR, 2023)

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

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

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

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

FactorJoin: A New Cardinality Estimation Framework for Join Queries. - Wu, Ziniu; Negi, Parimarjan; Alizadeh, Mohammad; Kraska, Tim; Madden, Samuel (CoRR, 2022)

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

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

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

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

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

A Unified Transferable Model for ML-Enhanced DBMS. - Wu, Ziniu; Yang, Peilun; Yu, Pei; Zhu, Rong; Han, Yuxing; Li, Yaliang; Lian, Defu; Zeng, Kai; Zhou, Jingren (CoRR, 2021)

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

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

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

Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications. - Zhu, Rong; Pfadler, Andreas; Wu, Ziniu; Han, Yuxing; Yang, Xiaoke; Ye, Feng; Qian, Zhenping; Zhou, Jingren; Cui, Bin (CoRR, 2020)

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