most citedKESA: A Knowledge Enhanced Approach For Sentiment Analysis

6 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CC2025

Bounded Dynamic Level Maintenance for Efficient Logic Optimization

Junfeng Liu, Qinghua Zhao, Liwei Ni +5

Logic optimization constitutes a critical phase within the Electronic Design Automation (EDA) flow, essential for achieving desired circuit power, performance, and area (PPA) targe…

cs.LG2022

Self-supervised Learning for Heterogeneous Graph via Structure Information based on Metapath

Shuai Ma, Jian-wei Liu, Xin Zuo

graph neural networks (GNNs) are the dominant paradigm for modeling and handling graph structure data by learning universal node representation. The traditional way of training GNN…

cs.CL2022★ 2 cited

Ered: Enhanced Text Representations with Entities and Descriptions

Qinghua Zhao, Shuai Ma, Yuxuan Lei

External knowledge,e.g., entities and entity descriptions, can help humans understand texts. Many works have been explored to include external knowledge in the pre-trained models.…

cs.CL2022

TraceNet: Tracing and Locating the Key Elements in Sentiment Analysis

Qinghua Zhao, Shuai Ma

In this paper, we study sentiment analysis task where the outcomes are mainly contributed by a few key elements of the inputs. Motivated by the two-streams hypothesis, we propose a…

cs.CL2022★ 6 cited

KESA: A Knowledge Enhanced Approach For Sentiment Analysis

Qinghua Zhao, Shuai Ma, Shuo Ren

Though some recent works focus on injecting sentiment knowledge into pre-trained language models, they usually design mask and reconstruction tasks in the post-training phase. In t…