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Bingsheng He

12 papers hereh-index 6304 citations15 works total

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

author position
  • middle author4
  • last author8

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.CL2
  • cs.IR2
  • cs.AI1
  • cs.SI1
same name
  • Bingsheng He — 34 papers, h 59
  • Bingsheng He — 18 papers, h 8
  • Bingsheng He — 13 papers, h 4
  • Bingsheng He — 12 papers, h 9
  • Bingsheng He — 10 papers, h 6
  • Bingsheng He — 8 papers, h 3

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
20232026
most citedEfficient Heterogeneous Graph Learning via Random Projection

30 citations · 39 across the 11 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.LG2026

FRACTION: Fraud Explanation Generation via Agentic Graph Context Navigation

Cecelia Soh, Jun Hu, Yuan Li +6

Graph fraud explanation generation emerges as an important task, which requires jointly leveraging graph structure and content information to produce human-readable explanations fo…

cs.LG2026

Multi-Label Node Classification with Label Influence Propagation

Yifei Sun, Zemin Liu, Bryan Hooi +4

Graphs are a complex and versatile data structure used across various domains, with possibly multi-label nodes playing a particularly crucial role. Examples include proteins in PPI…

cs.IR2026

Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion

Yuan Li, Jun Hu, Jiaxin Jiang +2

Multimodal data plays a critical role in web-based recommendation systems, where information from diverse modalities such as vision and text enhances representation learning. Howev…

cs.CL2026

Autonomous Chain-of-Thought Distillation for Graph-Based Fraud Detection

Yuan Li, Jun Hu, Bryan Hooi +2

Graph-based fraud detection on text-attributed graphs (TAGs) requires jointly modeling rich textual semantics and relational dependencies. However, existing LLM-enhanced GNN approa…

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