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2020 – today
- 2024
[j7]Hongxu Li
, Qinglang Guo, Zihan Xu, Xinfei Jin, Fulin Su, Xiaodi Li:
A Multiple Targets ISAR Imaging Method with Removal of Micro-Motion Connection Based on Joint Constraints. Remote. Sens. 16(19): 3647 (2024)- [j6]Ziqiang Li, Hong Sun, Pengfei Xia, Beihao Xia, Xue Rui, Wei Zhang, Qinglang Guo, Zhangjie Fu, Bin Li:
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks. IEEE Trans. Inf. Forensics Secur. 19: 9730-9743 (2024) - [c7]Juanming Shi, Qinglang Guo, Yong Liao, Shenglin Liang:
LegalGPT: Legal Chain of Thought for the Legal Large Language Model Multi-agent Framework. ICIC (LNAI 6) 2024: 25-37 - [c6]Juanming Shi, Qinglang Guo, Yong Liao, Yuxing Wang, Shijia Chen, Shenglin Liang:
Legal-LM: Knowledge Graph Enhanced Large Language Models for Law Consulting. ICIC (LNAI 4) 2024: 175-186 - [c5]Zijian Qiao, Nan Li, Chenxi Huang, Gangliang Wang, Shenglin Liang, Hui Lin, Qinglang Guo:
GraphLLM: A General Framework for Multi-hop Question Answering over Knowledge Graphs Using Large Language Models. NLPCC (1) 2024: 136-148 - [c4]Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu:
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. WSDM 2024: 976-984 - 2023
- [j5]Qinglang Guo, Yong Liao, Zhe Li, Shenglin Liang:
Multi-Modal Representation via Contrastive Learning with Attention Bottleneck Fusion and Attentive Statistics Features. Entropy 25(10): 1421 (2023) - [j4]Qinglang Guo, Yong Liao, Zhe Li, Hui Lin, Shenglin Liang:
Convolutional Models with Multi-Feature Fusion for Effective Link Prediction in Knowledge Graph Embedding. Entropy 25(10): 1472 (2023) - [c3]Hao Chu, Yongtao Wei, Qinglang Guo, Jingya Zhang:
Design and Implementation of Dunhuang Geopark Information Management System. BDEIM 2023: 315-319 - [c2]Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Causality and Independence Enhancement for Biased Node Classification. CIKM 2023: 203-212 - [c1]Qinglang Guo, Xiaolu Chen, Pengyuan Zhou, Yong Liao:
Cross-Domain Data Extraction and Knowledge Graph Construction for Dispute Analysis. ICDCS 2023: 959-960 - [i2]Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Causality and Independence Enhancement for Biased Node Classification. CoRR abs/2310.09586 (2023) - [i1]Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu:
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. CoRR abs/2311.04467 (2023) - 2022
- [j3]Qinglang Guo, Haiyong Xie, Yangyang Li, Wen Ma, Chao Zhang:
Social Bots Detection via Fusing BERT and Graph Convolutional Networks. Symmetry 14(1): 30 (2022) - 2021
- [j2]Zunwang Ke, Jiabao Sheng, Zhe Li, Wushour Silamu, Qinglang Guo:
Knowledge-Guided Sentiment Analysis Via Learning From Natural Language Explanations. IEEE Access 9: 3570-3578 (2021) - 2020
- [j1]Zunwang Ke, Zhe Li, Chenzhi Zhou, Jiabao Sheng, Wushour Silamu, Qinglang Guo:
Rumor Detection on Social Media via Fused Semantic Information and a Propagation Heterogeneous Graph. Symmetry 12(11): 1806 (2020)
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