Open Event Trigger Recognition Using Distant Supervision with Hierarchical Self-attentive Neural Network. - Xinmiao Pei; Hao Wang 097; Xiangfeng Luo; Jianqi Gao 001 (ICONIP (4), 2020)

Causal Event Extraction using Iterated Dilated Convolutions with Semantic Convolutional Filters. - Jianqi Gao 001; Xiangfeng Luo; Hao Wang 097; Zijian Wang (ICTAI, 2021)

Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion. - Zijian Wang; Hao Wang 097; Xiangfeng Luo; Jianqi Gao 001 (PAKDD (1), 2021)

An uncertain future: Predicting events using conditional event evolutionary graph. - Jianqi Gao 001; Xiangfeng Luo; Hao Wang 097 (Concurr. Comput. Pract. Exp., 2021)

Causal event extraction using causal event element-oriented neural network. - Kai Xu; Peng Wang; Xue Chen; Xiangfeng Luo; Jianqi Gao 001 (Int. J. Comput. Sci. Eng., 2021)

IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event Extraction. - Zhengming Zhao; Hang Yu 006; Xiangfeng Luo; Jianqi Gao 001; Xiao Xu 003; Shengming Guo (ICANN (2), 2022)

Chinese causal event extraction using causality-associated graph neural network. - Jianqi Gao 001; Xiangfeng Luo; Hao Wang 097 (Concurr. Comput. Pract. Exp., 2022)

Multi-scale event causality extraction via simultaneous knowledge-attention and convolutional neural network. - Xiaoxiao Yu; Xinzhi Wang 001; Xiangfeng Luo; Jianqi Gao 001 (Expert Syst. J. Knowl. Eng., 2022)

Joint event causality extraction using dual-channel enhanced neural network. - Jianqi Gao 001; Hang Yu 006; Shuang Zhang (Knowl. Based Syst., 2022)

LogLLM: Log-based Anomaly Detection Using Large Language Models. - Wei Guan 006; Jian Cao 001; Shiyou Qian; Jianqi Gao 001 (CoRR, 2024)

Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms. - Jianqi Gao 001; Jian Cao 001; Ranran Bu; Nengjun Zhu; Wei Guan 006; Hang Yu 006 (AAAI, 2025)

DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models. - Wei Guan 006; Jian Cao 001; Jianqi Gao 001; Haiyan Zhao 002; Shiyou Qian (AAAI, 2025)

Enhancing Graph-based Fraud Detection by Adversarial Confidence Reweighting. - Jianqi Gao 001; Jian Cao 001; Shiyou Qian; Wei Guan 006 (ICASSP, 2025)

Promoting PLM Fine-Tuning through Consistency Adversarial Training. - Jianqi Gao 001; Jian Cao 001; Jinghua Tang (ICASSP, 2025)

Improving Knowledge Base Question Answering via Retrieval Enhancement and Stepwise Reasoning. - Dian Huang; Jianqi Gao 001; Xiangfeng Luo; Hao Wu 087 (ICASSP, 2025)

Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment. - Jianqi Gao 001; Hao Wu 087; Yiu-ming Cheung; Jian Cao 001; Hang Yu 006; Yonggang Zhang 003 (WWW, 2025)

SENA: Leveraging set-level consistency adversarial learning for robust pre-trained language model adaptation. - Jianqi Gao 001; Jian Cao 001; Hang Yu 006; Yonggang Zhang 003; Zhen Fang 001 (Knowl. Based Syst., 2025)

Shaping pre-trained language models for task-specific embedding generation via consistency calibration. - Jianqi Gao 001; Hang Yu 006; Yiu-ming Cheung; Jian Cao 001; Raymond Chi-Wing Wong; Yonggang Zhang 003 (Neural Networks, 2025)

Improving text processing via adversarial low-rank adaptation. - Hao Wu 087; Xiangfeng Luo; Jianqi Gao 001; Dian Huang (Mach. Learn., 2025)