activity
20242026
most citedBTS: A Comprehensive Benchmark for Tie Strength Prediction

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SI2026

Adverse Online Social Interactions: A Multi-Level Evolutionary Analysis of Local Patterns, Diffusion, and Community Disruption

Xueqi Cheng, Qinwen Ge, Hamid Karimi +2

Adverse social interactions (ASIs) can shape how online communities evolve over the time. However, structural-based ASIs and content-based ASIs are often studied separately and at…

cs.SI2025

Amplifying Your Social Media Presence: Personalized Influential Content Generation with LLMs

Yuying Zhao, Yu Wang, Xueqi Cheng +5

The remarkable advancements in Large Language Models (LLMs) have revolutionized the content generation process in social media, offering significant convenience in writing tasks. H…

cs.CL2025

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey

Bo Ni, Zheyuan Liu, Leyao Wang +17

Retrieval-Augmented Generation (RAG) is an advanced technique designed to address the challenges of Artificial Intelligence-Generated Content (AIGC). By integrating context retriev…

cs.SI2024★ 1 cited

BTS: A Comprehensive Benchmark for Tie Strength Prediction

Xueqi Cheng, Catherine Yang, Yuying Zhao +3

The rapid rise of online social networks underscores the need to understand the heterogeneous strengths of online relationships. Yet, efforts to assess tie strength (TS) are hinder…

cs.LG2024

Edge Classification on Graphs: New Directions in Topological Imbalance

Xueqi Cheng, Yu Wang, Yunchao Liu +3

Recent years have witnessed the remarkable success of applying Graph machine learning (GML) to node/graph classification and link prediction. However, edge classification task that…