Enhancing Logical Rules Based on Self-Distillation for Document-Level Relation Extraction. - Yanxu Mao; Tiehan Cui; Ying Ding (NLPCC (1), 2024)

GEGA: Graph Convolutional Networks and Evidence Retrieval Guided Attention for Enhanced Document-level Relation Extraction. - Yanxu Mao; Peipei Liu; Tiehan Cui (CoRR, 2024)

Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models. - Yanxu Mao; Peipei Liu; Tiehan Cui; Congying Liu; Datao You (CoRR, 2024)

Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion. - Tiehan Cui; Yanxu Mao; Peipei Liu; Congying Liu; Datao You (ACL (Findings), 2025)

Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculation. - Yanxu Mao; Peipei Liu; Tiehan Cui; Congying Liu; Datao You (COLING, 2025)

GEGA: Graph Convolutional Networks and Evidence Retrieval Guided Attention for Enhanced Document-level Relation Extraction. - Yanxu Mao; Xiaohui Chen; Peipei Liu; Tiehan Cui; Zuhui Yue; Zheng Li (ICASSP, 2025)

A parameter-free text classification method based on dual compressors. - Yanxu Mao; Ying Ding; Tiehan Cui (Knowl. Inf. Syst., 2025)

From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem. - Yanxu Mao; Tiehan Cui; Peipei Liu; Datao You; Hongsong Zhu (CoRR, 2025)