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researcher

Ying Zhang

4 papers hereh-index 10638 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DB2
  • cs.CR1
  • q-fin.ST1
same name
  • Ying Zhang — 58 papers, h 19
  • Ying Zhang — 21 papers, h 47
  • Ying Zhang — 20 papers, h 11
  • Ying Zhang — 14 papers, h 11
  • Ying Zhang — 12 papers, h 21
  • Ying Zhang — 12 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedTemporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction

123 citations · 123 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CR2026

Selection Integrity for LLM Graph Memory: An Accumulability Criterion for Information-Flow-Blind Retrieval

Zeming Fei, Hongming Fei, Xiaoyang Wang +4

Agent memory is moving to graphs, and the provenance defenses now being built for it all check one thing: the provenance of the records an agent retrieves. We show that this entire…

cs.DB2024

Efficient Dynamic Attributed Graph Generation

Fan Li, Xiaoyang Wang, Dawei Cheng +3

Data generation is a fundamental research problem in data management due to its diverse use cases, ranging from testing database engines to data-specific applications. However, rea…

q-fin.ST2023★ 123 cited

Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction

Sheng Xiang, Dawei Cheng, Chencheng Shang +2

The price movement prediction of stock market has been a classical yet challenging problem, with the attention of both economists and computer scientists. In recent years, graph ne…

cs.DB2021

Efficient Processing of k-regret Minimization Queries with Theoretical Guarantees

Jiping Zheng, Qi Dong, Xiaoyang Wang +3

Assisting end users to identify desired results from a large dataset is an important problem for multi-criteria decision making. To address this problem, top-k and skyline queries…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.