Jianqi Gao

28 papers A* 4B 3Misc 3Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Optimizing KBQA by Correcting LLM-Generated Non-Executable Logical Form Through Knowledge-Assisted Path Reconstruction.
IEEE Trans. Knowl. Data Eng.
Ranran Bu, Jianqi Gao, Jian Cao, Hongming Cai, Jinghua Tang, Yonggang Zhang
2026 A* conf
SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information.
WWW
Wei Guan, Jian Cao, Qiqi Cai, Jianqi Gao, Jinyu Cai, See-Kiong Ng
2025 J jnl
A Robust Graph Fraud Detection Model Based on Adversarial Reweighting.
IEEE Trans. Comput. Soc. Syst.
Zhengyang Liu, Jianqi Gao, Hang Yu, Xiangfeng Luo
2025 B conf
Adversarial Contrastive Training in Parameter Space for Improved Text Classification.
IJCNN
Hao Wu, Xiangfeng Luo, Jianqi Gao, Dian Huang
2025 B conf
CANA: Enhancing Graph-Based Fraud Detection via Confidence-Aware Neighborhood Aggregation.
ICTAI
Zujia Wang, Jianqi Gao, Hang Yu, Zhengyang Liu, Junquan Gu, Xiangfeng Luo, Xue Chen
2025 A* conf
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models.
AAAI
Wei Guan, Jian Cao, Jianqi Gao, Haiyan Zhao, Shiyou Qian
2025 Misc conf
Enhancing Graph-based Fraud Detection by Adversarial Confidence Reweighting.
ICASSP
Jianqi Gao, Jian Cao, Shiyou Qian, Wei Guan
2025 J jnl
GLOW: Graph-Language Co-Reasoning for Agentic Workflow Performance Prediction.
CoRR
Wei Guan, Jian Cao, Jinyu Cai, Qiqi Cai, Jianqi Gao, See-Kiong Ng
2025 Misc conf
Improving Knowledge Base Question Answering via Retrieval Enhancement and Stepwise Reasoning.
ICASSP
Dian Huang, Jianqi Gao, Xiangfeng Luo, Hao Wu
2025 J jnl
Improving text processing via adversarial low-rank adaptation.
Mach. Learn.
Hao Wu, Xiangfeng Luo, Jianqi Gao, Dian Huang
2025 — conf
KaeDe: Progressive Generation of Logical Forms via Knowledge-Aware Question Decomposition for Improved KBQA.
EMNLP (Findings)
Ranran Bu, Jian Cao, Jianqi Gao, Shiyou Qian, Hongming Cai
2025 A* conf
Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment.
WWW
Jianqi Gao, Hao Wu, Yiu-ming Cheung, Jian Cao, Hang Yu, Yonggang Zhang
2025 A* conf
Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms.
AAAI
Jianqi Gao, Jian Cao, Ranran Bu, Nengjun Zhu, Wei Guan, Hang Yu
2025 Misc conf
Promoting PLM Fine-Tuning through Consistency Adversarial Training.
ICASSP
Jianqi Gao, Jian Cao, Jinghua Tang
2025 J jnl
SENA: Leveraging set-level consistency adversarial learning for robust pre-trained language model adaptation.
Knowl. Based Syst.
Jianqi Gao, Jian Cao, Hang Yu, Yonggang Zhang, Zhen Fang
2025 J jnl
Shaping pre-trained language models for task-specific embedding generation via consistency calibration.
Neural Networks
Jianqi Gao, Hang Yu, Yiu-ming Cheung, Jian Cao, Raymond Chi-Wing Wong, Yonggang Zhang
2024 J jnl
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models.
CoRR
Wei Guan, Jian Cao, Jianqi Gao, Haiyan Zhao, Shiyou Qian
2024 J jnl
LogLLM: Log-based Anomaly Detection Using Large Language Models.
CoRR
Wei Guan, Jian Cao, Shiyou Qian, Jianqi Gao
2022 J jnl
Chinese causal event extraction using causality-associated graph neural network.
Concurr. Comput. Pract. Exp.
Jianqi Gao, Xiangfeng Luo, Hao Wang
2022 — conf
IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event Extraction.
ICANN (2)
Zhengming Zhao, Hang Yu, Xiangfeng Luo, Jianqi Gao, Xiao Xu, Shengming Guo
2022 J jnl
Joint event causality extraction using dual-channel enhanced neural network.
Knowl. Based Syst.
Jianqi Gao, Hang Yu, Shuang Zhang
2022 J jnl
Multi-scale event causality extraction via simultaneous knowledge-attention and convolutional neural network.
Expert Syst. J. Knowl. Eng.
Xiaoxiao Yu, Xinzhi Wang, Xiangfeng Luo, Jianqi Gao
2021 J jnl
An uncertain future: Predicting events using conditional event evolutionary graph.
Concurr. Comput. Pract. Exp.
Jianqi Gao, Xiangfeng Luo, Hao Wang
2021 — conf
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion.
PAKDD (1)
Zijian Wang, Hao Wang, Xiangfeng Luo, Jianqi Gao
2021 J jnl
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion.
CoRR
Zijian Wang, Hao Wang, Xiangfeng Luo, Jianqi Gao
2021 B conf
Causal Event Extraction using Iterated Dilated Convolutions with Semantic Convolutional Filters.
ICTAI
Jianqi Gao, Xiangfeng Luo, Hao Wang, Zijian Wang
2021 J jnl
Causal event extraction using causal event element-oriented neural network.
Int. J. Comput. Sci. Eng.
Kai Xu, Peng Wang, Xue Chen, Xiangfeng Luo, Jianqi Gao
2020 — conf
Open Event Trigger Recognition Using Distant Supervision with Hierarchical Self-attentive Neural Network.
ICONIP (4)
Xinmiao Pei, Hao Wang, Xiangfeng Luo, Jianqi Gao