Jianqi Gao

According to our database, Jianqi Gao authored at least 18 papers between 2020 and 2025.

Collaborative distances:

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

2025

Shaping pre-trained language models for task-specific embedding generation via consistency calibration.

Jianqi Gao, Hang Yu, Yiu-ming Cheung, Jian Cao, Raymond Chi-Wing Wong, Yonggang Zhang

Neural Networks, 2025

SENA: Leveraging set-level consistency adversarial learning for robust pre-trained language model adaptation.

Jianqi Gao, Jian Cao, Hang Yu, Yonggang Zhang, Zhen Fang

Knowl. Based Syst., 2025

Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment.

Jianqi Gao, Hao Wu, Yiu-ming Cheung, Jian Cao, Hang Yu, Yonggang Zhang

Proceedings of the ACM on Web Conference 2025, 2025

Improving Knowledge Base Question Answering via Retrieval Enhancement and Stepwise Reasoning.

Dian Huang, Jianqi Gao, Xiangfeng Luo, Hao Wu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Promoting PLM Fine-Tuning through Consistency Adversarial Training.

Jianqi Gao, Jian Cao, Jinghua Tang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Enhancing Graph-based Fraud Detection by Adversarial Confidence Reweighting.

Jianqi Gao, Jian Cao, Shiyou Qian, Wei Guan

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models.

Wei Guan, Jian Cao, Jianqi Gao, Haiyan Zhao, Shiyou Qian

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms.

Jianqi Gao, Jian Cao, Ranran Bu, Nengjun Zhu, Wei Guan, Hang Yu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

LogLLM: Log-based Anomaly Detection Using Large Language Models.

Wei Guan, Jian Cao, Shiyou Qian, Jianqi Gao

CoRR, 2024

2022

Joint event causality extraction using dual-channel enhanced neural network.

Jianqi Gao, Hang Yu, Shuang Zhang

Knowl. Based Syst., 2022

Multi-scale event causality extraction via simultaneous knowledge-attention and convolutional neural network.

Xiaoxiao Yu, Xinzhi Wang, Xiangfeng Luo, Jianqi Gao

Expert Syst. J. Knowl. Eng., 2022

Chinese causal event extraction using causality-associated graph neural network.

Jianqi Gao, Xiangfeng Luo, Hao Wang

Concurr. Comput. Pract. Exp., 2022

IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event Extraction.

Zhengming Zhao, Hang Yu, Xiangfeng Luo, Jianqi Gao, Xiao Xu, Shengming Guo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Causal event extraction using causal event element-oriented neural network.

Kai Xu, Peng Wang, Xue Chen, Xiangfeng Luo, Jianqi Gao

Int. J. Comput. Sci. Eng., 2021

An uncertain future: Predicting events using conditional event evolutionary graph.

Jianqi Gao, Xiangfeng Luo, Hao Wang

Concurr. Comput. Pract. Exp., 2021

Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion.

Zijian Wang, Hao Wang, Xiangfeng Luo, Jianqi Gao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Causal Event Extraction using Iterated Dilated Convolutions with Semantic Convolutional Filters.

Jianqi Gao, Xiangfeng Luo, Hao Wang, Zijian Wang

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

Open Event Trigger Recognition Using Distant Supervision with Hierarchical Self-attentive Neural Network.

Xinmiao Pei, Hao Wang, Xiangfeng Luo, Jianqi Gao

Proceedings of the Neural Information Processing - 27th International Conference, 2020