activity
20242026
most citedCommon Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy

7 citations · 8 across the 3 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Self-Evolving Agents as Dynamic Graph Transformation: A Survey and New Perspective

Yuanyuan Xu, Wenjie Zhang, Yin Chen +2

Large language model (LLM)-based agents are increasingly becoming self-evolving systems that persist across interactions, maintain memories, use tools, acquire skills, refine workf…

cs.DB2025

Revisiting Graph Analytics Benchmark

Lingkai Meng, Yu Shao, Long Yuan +7

The rise of graph analytics platforms has led to the development of various benchmarks for evaluating and comparing platform performance. However, existing benchmarks often fall sh…

cs.IR2025

Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems

Le Pan, Yuanjiang Cao, Chengkai Huang +2

Recommender Systems (RSs) aim to provide personalized recommendations for users. A newly discovered bias, known as sentiment bias, uncovers a common phenomenon within Review-based…

cs.DB20257 cited

Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy

Yizhang He, Kai Wang, Wenjie Zhang +2

Bipartite graphs, formed by two vertex layers, arise as a natural fit for modeling the relationships between two groups of entities. In bipartite graphs, common neighborhood comput…

cs.CR2024

Decentralized Privacy Preservation for Critical Connections in Graphs

Conggai Li, Wei Ni, Ming Ding +5

Many real-world interconnections among entities can be characterized as graphs. Collecting local graph information with balanced privacy and data utility has garnered notable inter…

cs.CV20241 cited

Seeing Text in the Dark: Algorithm and Benchmark

Chengpei Xu, Hao Fu, Long Ma +6

Localizing text in low-light environments is challenging due to visual degradations. Although a straightforward solution involves a two-stage pipeline with low-light image enhancem…