32 citations · 81 across the 13 of their papers we have counts for
14 papers
AnesTRACE: Benchmarking Intraoperative Anesthesia from Multimodal Perception to Multi-step Decision-Making
Ziwei Huang, Qi Gao, Zhe Ji +5
Intraoperative anesthesia requires systems to interpret evolving multimodal evidence, recommend timely management, and revise decisions as patient states change, yet existing bench…
From Schema to Signal: Retrieval-Augmented Modeling for Relational Data Analytics
Lingze Zeng, Shaofeng Cai, Changshuo Liu +3
Relational data stored in RDBMS is foundational to many real-world applications across domains such as e-commerce, finance, and sociality. While deep neural networks (DNNs) have ac…
FAVOR: Efficient Filter-Agnostic Vector ANNS Based on Selectivity-Aware Exclusion Distances
Junjie Song, Yu Liu, Guoyu Hu +4
Modern retrieval systems increasingly require integrating approximate nearest neighbor search (ANNS) with complex attribute filtering to handle hybrid queries in applications such…
Towards Effective Orchestration of AI x DB Workloads
Naili Xing, Haotian Gao, Zhanhao Zhao +6
AI-driven analytics are increasingly crucial to data-centric decision-making. Executing relational and AI operators in separate runtimes prevents the database optimizer and runtime…
HAKES: Scalable Vector Database for Embedding Search Service
Guoyu Hu, Shaofeng Cai, Tien Tuan Anh Dinh +4
Modern deep learning models capture the semantics of complex data by transforming them into high-dimensional embedding vectors. Emerging applications, such as retrieval-augmented g…
A Comprehensive Study of Shapley Value in Data Analytics
Hong Lin, Shixin Wan, Zhongle Xie +4
Over the recent years, Shapley value (SV), a solution concept from cooperative game theory, has found numerous applications in data analytics (DA). This paper presents the first co…
GlassDB: An Efficient Verifiable Ledger Database System Through Transparency
Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie +4
Verifiable ledger databases protect data history against malicious tampering. Existing systems, such as blockchains and certificate transparency, are based on transparency logs --…
A Survey on Deep Reinforcement Learning for Data Processing and Analytics
Qingpeng Cai, Can Cui, Yiyuan Xiong +3
Data processing and analytics are fundamental and pervasive. Algorithms play a vital role in data processing and analytics where many algorithm designs have incorporated heuristics…
Spitz: A Verifiable Database System
Meihui Zhang, Zhongle Xie, Cong Yue +1
Databases in the past have helped businesses maintain and extract insights from their data. Today, it is common for a business to involve multiple independent, distrustful parties.…
ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications
Qian Lin, Kaiyuan Yang, Tien Tuan Anh Dinh +8
Data collaboration activities typically require systematic or protocol-based coordination to be scalable. Git, an effective enabler for collaborative coding, has been attested for…
Analysis of Indexing Structures for Immutable Data
Cong Yue, Zhongle Xie, Meihui Zhang +4
In emerging applications such as blockchains and collaborative data analytics, there are strong demands for data immutability, multi-version accesses, and tamper-evident controls.…
ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications
Sheng Wang, Tien Tuan Anh Dinh, Qian Lin +7
Existing data storage systems offer a wide range of functionalities to accommodate an equally diverse range of applications. However, new classes of applications have emerged, e.g.…
UStore: A Distributed Storage With Rich Semantics
Anh Dinh, Ji Wang, Sheng Wang +9
Today's storage systems expose abstractions which are either too low-level (e.g., key-value store, raw-block store) that they require developers to re-invent the wheels, or too hig…
PI : a Parallel in-memory skip list based Index
Zhongle Xie, Qingchao Cai, H. V. Jagadish +2
Due to the coarse granularity of data accesses and the heavy use of latches, indices in the B-tree family are not efficient for in-memory databases, especially in the context of to…