Qinglang Guo

According to our database, Qinglang Guo authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Multiple Targets ISAR Imaging Method with Removal of Micro-Motion Connection Based on Joint Constraints.

Hongxu Li, Qinglang Guo, Zihan Xu, Xinfei Jin, Fulin Su, Xiaodi Li

Remote. Sens., October, 2024

A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks.

Ziqiang Li, Hong Sun, Pengfei Xia, Beihao Xia, Xue Rui, Wei Zhang, Qinglang Guo, Zhangjie Fu, Bin Li

IEEE Trans. Inf. Forensics Secur., 2024

RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis.

Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

GraphLLM: A General Framework for Multi-hop Question Answering over Knowledge Graphs Using Large Language Models.

Zijian Qiao, Nan Li, Chenxi Huang, Gangliang Wang, Shenglin Liang, Hui Lin, Qinglang Guo

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Legal-LM: Knowledge Graph Enhanced Large Language Models for Law Consulting.

Juanming Shi, Qinglang Guo, Yong Liao, Yuxing Wang, Shijia Chen, Shenglin Liang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

LegalGPT: Legal Chain of Thought for the Legal Large Language Model Multi-agent Framework.

Juanming Shi, Qinglang Guo, Yong Liao, Shenglin Liang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

Convolutional Models with Multi-Feature Fusion for Effective Link Prediction in Knowledge Graph Embedding.

Qinglang Guo, Yong Liao, Zhe Li, Hui Lin, Shenglin Liang

Entropy, October, 2023

Multi-Modal Representation via Contrastive Learning with Attention Bottleneck Fusion and Attentive Statistics Features.

Qinglang Guo, Yong Liao, Zhe Li, Shenglin Liang

Entropy, October, 2023

Cross-Domain Data Extraction and Knowledge Graph Construction for Dispute Analysis.

Qinglang Guo, Xiaolu Chen, Pengyuan Zhou, Yong Liao

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Causality and Independence Enhancement for Biased Node Classification.

Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Design and Implementation of Dunhuang Geopark Information Management System.

Hao Chu, Yongtao Wei, Qinglang Guo, Jingya Zhang

Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management, 2023

2022

Social Bots Detection via Fusing BERT and Graph Convolutional Networks.

Qinglang Guo, Haiyong Xie, Yangyang Li, Wen Ma, Chao Zhang

Symmetry, 2022

2021

Knowledge-Guided Sentiment Analysis Via Learning From Natural Language Explanations.

Zunwang Ke, Jiabao Sheng, Zhe Li, Wushour Silamu, Qinglang Guo

IEEE Access, 2021

2020

Rumor Detection on Social Media via Fused Semantic Information and a Propagation Heterogeneous Graph.

Zunwang Ke, Zhe Li, Chenzhi Zhou, Jiabao Sheng, Wushour Silamu, Qinglang Guo

Symmetry, 2020