5 citations · 7 across the 14 of their papers we have counts for
5 papers · 1 filter
Geometry-Aware Spiking Graph Neural Network
Bowen Zhang, Genan Dai, Hu Huang +1
Graph Neural Networks (GNNs) have demonstrated impressive capabilities in modeling graph-structured data, while Spiking Neural Networks (SNNs) offer high energy efficiency through…
TwiUSD: A Benchmark Dataset and Structure-Aware LLM Framework for User Stance Detection
Fuqiang Niu, Zini Chen, Zhiyu Xie +3
User-level stance detection (UserSD) remains challenging due to the lack of high-quality benchmarks that jointly capture linguistic and social structure. In this paper, we introduc…
MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection
Fuqiang Niu, Genan Dai, Yisha Lu +4
In the realm of contemporary social media, automatic stance detection is pivotal for opinion mining, as it synthesizes and examines user perspectives on contentious topics to uncov…
Induce, Align, Predict: Zero-Shot Stance Detection via Cognitive Inductive Reasoning
Bowen Zhang, Jun Ma, Fuqiang Niu +3
Zero-shot stance detection (ZSSD) seeks to determine the stance of text toward previously unseen targets, a task critical for analyzing dynamic and polarized online discourse with…
C-MTCSD: A Chinese Multi-Turn Conversational Stance Detection Dataset
Fuqiang Niu, Yi Yang, Xianghua Fu +2
Stance detection has become an essential tool for analyzing public discussions on social media. Current methods face significant challenges, particularly in Chinese language proces…