Multi-Modal Representation via Contrastive Learning with Attention Bottleneck Fusion and Attentive Statistics Features. - Qinglang Guo; Yong Liao; Zhe Li 030; Shenglin Liang (Entropy, 2023)

Convolutional Models with Multi-Feature Fusion for Effective Link Prediction in Knowledge Graph Embedding. - Qinglang Guo; Yong Liao; Zhe Li 030; Hui Lin; Shenglin Liang (Entropy, 2023)

LegalGPT: Legal Chain of Thought for the Legal Large Language Model Multi-agent Framework. - Juanming Shi; Qinglang Guo; Yong Liao; Shenglin Liang (ICIC (LNAI 6), 2024)

Legal-LM: Knowledge Graph Enhanced Large Language Models for Law Consulting. - Juanming Shi; Qinglang Guo; Yong Liao; Yuxing Wang; Shijia Chen; Shenglin Liang (ICIC (LNAI 4), 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 (NLPCC (1), 2024)

MSKE-LLM: Multi-Stage Knowledge Enhancement Policy Question-Answering Large Language Model. - Gangliang Wang; Zijian Qiao; Qinglang Guo; Shenglin Liang; Hui Lin; Chunyao Yang (CSCWD, 2025)