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ORCIDJianqi Gao 0001
Person information
- affiliation: Shanghai Jiao Tong University, China
Other persons with the same name
- Jianqi Gao — disambiguation page
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2020 – today
- 2025
[j9]Jianqi Gao
, Jian Cao, Hang Yu, Yonggang Zhang, Zhen Fang:
SENA: Leveraging set-level consistency adversarial learning for robust pre-trained language model adaptation. Knowl. Based Syst. 324: 113831 (2025)- [j8]Hao Wu, Xiangfeng Luo, Jianqi Gao, Dian Huang:
Improving text processing via adversarial low-rank adaptation. Mach. Learn. 114(9): 196 (2025) - [j7]Jianqi Gao, Hang Yu, Yiu-ming Cheung, Jian Cao, Raymond Chi-Wing Wong, Yonggang Zhang:
Shaping pre-trained language models for task-specific embedding generation via consistency calibration. Neural Networks 191: 107754 (2025) - [j6]Zhengyang Liu, Jianqi Gao, Hang Yu, Xiangfeng Luo:
A Robust Graph Fraud Detection Model Based on Adversarial Reweighting. IEEE Trans. Comput. Soc. Syst. 12(6): 5213-5224 (2025) - [c12]Wei Guan, Jian Cao, Jianqi Gao, Haiyan Zhao, Shiyou Qian:
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models. AAAI 2025: 11735-11744 - [c11]Jianqi Gao, Jian Cao, Ranran Bu, Nengjun Zhu, Wei Guan, Hang Yu:
Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms. AAAI 2025: 23914-23922 - [c10]Jianqi Gao, Jian Cao, Shiyou Qian, Wei Guan:
Enhancing Graph-based Fraud Detection by Adversarial Confidence Reweighting. ICASSP 2025: 1-5 - [c9]Jianqi Gao, Jian Cao, Jinghua Tang:
Promoting PLM Fine-Tuning through Consistency Adversarial Training. ICASSP 2025: 1-5 - [c8]Dian Huang, Jianqi Gao, Xiangfeng Luo, Hao Wu:
Improving Knowledge Base Question Answering via Retrieval Enhancement and Stepwise Reasoning. ICASSP 2025: 1-5 - [c7]Zujia Wang, Jianqi Gao, Hang Yu, Zhengyang Liu, Junquan Gu, Xiangfeng Luo, Xue Chen:
CANA: Enhancing Graph-Based Fraud Detection via Confidence-Aware Neighborhood Aggregation. ICTAI 2025: 26-33 - [c6]Hao Wu, Xiangfeng Luo, Jianqi Gao, Dian Huang:
Adversarial Contrastive Training in Parameter Space for Improved Text Classification. IJCNN 2025: 1-8 - [c5]Jianqi Gao, Hao Wu, Yiu-ming Cheung, Jian Cao, Hang Yu, Yonggang Zhang:
Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment. WWW 2025: 3492-3504 - 2024
- [i3]Wei Guan, Jian Cao, Jianqi Gao, Haiyan Zhao, Shiyou Qian:
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models. CoRR abs/2406.15781 (2024) - [i2]Wei Guan, Jian Cao, Shiyou Qian, Jianqi Gao:
LogLLM: Log-based Anomaly Detection Using Large Language Models. CoRR abs/2411.08561 (2024) - 2022
- [j5]Jianqi Gao, Xiangfeng Luo, Hao Wang:
Chinese causal event extraction using causality-associated graph neural network. Concurr. Comput. Pract. Exp. 34(3) (2022) - [j4]Xiaoxiao Yu, Xinzhi Wang, Xiangfeng Luo, Jianqi Gao:
Multi-scale event causality extraction via simultaneous knowledge-attention and convolutional neural network. Expert Syst. J. Knowl. Eng. 39(5) (2022) - [j3]Jianqi Gao, Hang Yu, Shuang Zhang:
Joint event causality extraction using dual-channel enhanced neural network. Knowl. Based Syst. 258: 109935 (2022) - [c4]Zhengming Zhao, Hang Yu, Xiangfeng Luo, Jianqi Gao, Xiao Xu, Shengming Guo:
IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event Extraction. ICANN (2) 2022: 519-531 - 2021
- [j2]Jianqi Gao, Xiangfeng Luo, Hao Wang:
An uncertain future: Predicting events using conditional event evolutionary graph. Concurr. Comput. Pract. Exp. 33(9) (2021) - [j1]Kai Xu, Peng Wang, Xue Chen, Xiangfeng Luo, Jianqi Gao:
Causal event extraction using causal event element-oriented neural network. Int. J. Comput. Sci. Eng. 24(6): 621-628 (2021) - [c3]Jianqi Gao, Xiangfeng Luo, Hao Wang, Zijian Wang:
Causal Event Extraction using Iterated Dilated Convolutions with Semantic Convolutional Filters. ICTAI 2021: 619-623 - [c2]Zijian Wang, Hao Wang, Xiangfeng Luo, Jianqi Gao:
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion. PAKDD (1) 2021: 346-357 - [i1]Zijian Wang, Hao Wang, Xiangfeng Luo, Jianqi Gao:
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion. CoRR abs/2102.09923 (2021) - 2020
- [c1]Xinmiao Pei, Hao Wang, Xiangfeng Luo, Jianqi Gao:
Open Event Trigger Recognition Using Distant Supervision with Hierarchical Self-attentive Neural Network. ICONIP (4) 2020: 701-708
Coauthor Index
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