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researcher

Zhengyi Zhou

7 papers hereh-index 325 citations8 works total

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

author position
  • middle author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.LG2
  • cs.AI1
  • stat.ML1
same name
  • Zhengyi Zhou — 5 papers, h 12
  • Zhengyi Zhou — 5 papers, h 2
  • Zhengyi Zhou — 4 papers, h 1
  • Zhengyi Zhou — 2 papers
  • Zhengyi Zhou — 2 papers, h 2
  • Zhengyi Zhou — 2 papers, h 1

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
20242026
most citedCAT: Interpretable Concept-based Taylor Additive Models

6 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity Identification

Qian Ma, Qiong Wu, Zhengyi Zhou +1

Knowledge-Based Visual Question Answering (KB-VQA) requires grounding visual queries to external knowledge beyond directly observable content in images. While recent multi modal la…

stat.ML2025

LLmFPCA-detect: LLM-powered Multivariate Functional PCA for Anomaly Detection in Sparse Longitudinal Texts

Prasanjit Dubey, Aritra Guha, Zhengyi Zhou +3

Sparse longitudinal (SL) textual data arises when individuals generate text repeatedly over time (e.g., customer reviews, occasional social media posts, electronic medical records…

cs.CL2025

Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking

Liangliang Zhang, Zhuorui Jiang, Hongliang Chi +8

Knowledge Graph Question Answering (KGQA) systems rely on high-quality benchmarks to evaluate complex multi-hop reasoning. However, despite their widespread use, popular datasets s…

cs.LG2025

Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation

Hongliang Chi, Qiong Wu, Zhengyi Zhou +1

Graph Neural Networks (GNNs) have demonstrated remarkable performance in various graph-based machine learning tasks, yet evaluating the importance of neighbors of testing nodes rem…

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