Jianqi Gao

Orcid: 0000-0002-9840-7866

Affiliations:

Shanghai Jiao Tong University, China

According to our database¹, Jianqi Gao authored at least 29 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Optimizing KBQA by Correcting LLM-Generated Non-Executable Logical Form Through Knowledge-Assisted Path Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2026

DUAL: A Federated Unsupervised Anomaly Detection Framework for Collaborative Business Processes.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2026

Knowledge-enhanced consistency learning with disentangled multimodal representation for misinformation detection.

[BibT_eX]

[DOI]

Inf. Fusion, 2026

SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Generating then Refining for Reliable Knowledge Base Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

A Robust Graph Fraud Detection Model Based on Adversarial Reweighting.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., December, 2025

GLOW: Graph-Language Co-Reasoning for Agentic Workflow Performance Prediction.

[BibT_eX]

[DOI]

CoRR, December, 2025

Improving text processing via adversarial low-rank adaptation.

[BibT_eX]

[DOI]

Mach. Learn., September, 2025

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

[BibT_eX]

[DOI]

Raymond Chi-Wing Wong

Yonggang Zhang

Neural Networks, 2025

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

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

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Adversarial Contrastive Training in Parameter Space for Improved Text Classification.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2025

CANA: Enhancing Graph-Based Fraud Detection via Confidence-Aware Neighborhood Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Promoting PLM Fine-Tuning through Consistency Adversarial Training.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

KaeDe: Progressive Generation of Logical Forms via Knowledge-Aware Question Decomposition for Improved KBQA.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

2022

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

[BibT_eX]

[DOI]

Jianqi Gao

Hang Yu

Shuang Zhang

Knowl. Based Syst., 2022

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

[BibT_eX]

[DOI]

Expert Syst. J. Knowl. Eng., 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2021

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Jianqi Gao

Xiangfeng Luo

Hao Wang

Concurr. Comput. Pract. Exp., 2021

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Jianqi Gao

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