11 citations · 36 across the 10 of their papers we have counts for
10 papers
UBASE: An AI Search Engine for Trillion-Scale Vector Data Management at ByteDance
Yao Tian, Yuncheng Lu, Liyao Xiong +9
Since 2016, UBASE has been the foundation of ByteDance's search infrastructure, scaling to more than 7,000 clusters and 300 PB of indexed data. Driven by the demands of AI workload…
Beyond Retrieval: Analytic Memory for Multimodal Agents
Zhoujin Tian, Hao Zhang, Yao Tian +4
Long-term multimodal memory must support not only retrieving relevant information but also computing over observations accumulated across interactions. Existing systems largely emp…
DocNavRAG: Document-Structured Graph RAG with Stateful Evidence Construction for Complex Document Question Answering
Dongyang Xie, Yao Tian, Hao Zhang +5
Answering complex questions over large document collections requires assembling complementary evidence across sections and documents. GraphRAG offers structured retrieval but typic…
VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines
Kai Huang, Houdong Liang, Chongchong Yao +5
Visual Graph Query Interfaces (VQIs) empower non-programmers to query graph data by constructing visual queries intuitively. Devising efficient technologies in Graph Query Engines…
GEM: A Native Graph-based Index for Multi-Vector Retrieval
Yao Tian, Zhoujin Tian, Xi Zhao +2
In multi-vector retrieval, both queries and data are represented as sets of high-dimensional vectors, enabling finer-grained semantic matching and improving retrieval quality over…
Optimizing SSD-Resident Graph Indexing for High-Throughput Vector Search
Weichen Zhao, Yuncheng Lu, Yao Tian +5
Graph-based approximate nearest neighbor search (ANNS) methods (e.g., HNSW) have become the de facto state of the art for their high precision and low latency. To scale beyond main…
Low Rank Learning for Offline Query Optimization
Zixuan Yi, Yao Tian, Zachary G. Ives +1
Recent deployments of learned query optimizers use expensive neural networks and ad-hoc search policies. To address these issues, we introduce \textsc{LimeQO}, a framework for offl…
DB-LSH: Locality-Sensitive Hashing with Query-based Dynamic Bucketing
Yao Tian, Xi Zhao, Xiaofang Zhou
Among many solutions to the high-dimensional approximate nearest neighbor (ANN) search problem, locality sensitive hashing (LSH) is known for its sub-linear query time and robust t…
A Learned Index for Exact Similarity Search in Metric Spaces
Yao Tian, Tingyun Yan, Xi Zhao +2
Indexing is an effective way to support efficient query processing in large databases. Recently the concept of learned index, which replaces or complements traditional index struct…
BiFSMN: Binary Neural Network for Keyword Spotting
Haotong Qin, Xudong Ma, Yifu Ding +6
The deep neural networks, such as the Deep-FSMN, have been widely studied for keyword spotting (KWS) applications. However, computational resources for these networks are significa…