31 citations · 51 across the 12 of their papers we have counts for
13 papers
ByteHouse: ByteDance's Cloud-Native Data Warehouse for Real-Time Multimodal Data Analytics
Yuxing Han, Yu Lin, Yifeng Dong +13
With the rapid rise of intelligent data services, modern enterprises increasingly require efficient, multimodal, and cost-effective data analytics infrastructures. However, in Byte…
Concurrency Control as a Service
Weixing Zhou, Yanfeng Zhang, Xinji Zhou +7
Existing disaggregated databases separate execution and storage layers, enabling independent and elastic scaling of resources. In most cases, this design makes transaction concurre…
Automated Discovery of Test Oracles for Database Management Systems Using LLMs
Qiuyang Mang, Runyuan He, Suyang Zhong +3
Since 2020, automated testing for Database Management Systems (DBMSs) has flourished, uncovering hundreds of bugs in widely-used systems. A cornerstone of these techniques is test…
GORAM: Graph-oriented ORAM for Efficient Ego-centric Queries on Federated Graphs
Xiaoyu Fan, Kun Chen, Jiping Yu +4
Ego-centric queries, focusing on a target vertex and its direct neighbors, are essential for various applications. Enabling such queries on graphs owned by mutually distrustful dat…
ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation
Zhiyu Mei, Wei Fu, Kaiwei Li +3
Reinforcement Learning from Human Feedback (RLHF) is a pivotal technique for empowering large language model (LLM) applications. Compared with the supervised training process of LL…
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models
Jiake Ge, Huanchen Zhang, Boyu Shi +5
The growth in data storage capacity and the increasing demands for high performance have created several challenges for concurrent indexing structures. One promising solution is le…
Cost-Intelligent Data Analytics in the Cloud
Huanchen Zhang, Yihao Liu, Jiaqi Yan
For decades, database research has focused on optimizing performance under fixed resources. As more and more database applications move to the public cloud, we argue that it is tim…
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
Zhiyu Mei, Wei Fu, Jiaxuan Gao +3
The ever-growing complexity of reinforcement learning (RL) tasks demands a distributed system to efficiently generate and process a massive amount of data. However, existing open-s…
LeCo: Lightweight Compression via Learning Serial Correlations
Yihao Liu, Xinyu Zeng, Huanchen Zhang
Lightweight data compression is a key technique that allows column stores to exhibit superior performance for analytical queries. Despite a comprehensive study on dictionary-based…
An Empirical Evaluation of Columnar Storage Formats
Xinyu Zeng, Yulong Hui, Jiahong Shen +3
Columnar storage is a core component of a modern data analytics system. Although many database management systems (DBMSs) have proprietary storage formats, most provide extensive s…
Proteus: A Self-Designing Range Filter
Eric R. Knorr, Baptiste Lemaire, Andrew Lim +4
We introduce Proteus, a novel self-designing approximate range filter, which configures itself based on sampled data in order to optimize its false positive rate (FPR) for a given…
Efficient Query Re-optimization with Judicious Subquery Selections
Junyi Zhao, Huanchen Zhang, Yihan Gao
Query re-optimization is an adaptive query processing technique that re-invokes the optimizer at certain points in query execution. The goal is to dynamically correct the cardinali…
Order-Preserving Key Compression for In-Memory Search Trees
Huanchen Zhang, Xiaoxuan Liu, David G. Andersen +3
We present the High-speed Order-Preserving Encoder (HOPE) for in-memory search trees. HOPE is a fast dictionary-based compressor that encodes arbitrary keys while preserving their…