| 2026 | ACL | Generating then Refining for Reliable Knowledge Base Question Answering. | Jianqi Gao, Hang Yu, Jian Cao, Ranran Bu, Jinghua Tang, Nengjun Zhu, Yonggang Zhang |
| 2026 | WWW | SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information. | Wei Guan, Jian Cao, Qiqi Cai, Jianqi Gao, Jinyu Cai, See-Kiong Ng |
| 2026 | SIGIR | GCA-KBQA: A Step-Wise Logical Form Generation Approach for KBQA with Knowledge-Assisted Calibration. | Ranran Bu, Jian Cao, Jianqi Gao, Jinghua Tang, Shiyou Qian, Hongming Cai |
| 2025 | AAAI | 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 |
| 2025 | AAAI | DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models. | Wei Guan, Jian Cao, Jianqi Gao, Haiyan Zhao, Shiyou Qian |
| 2025 | EMNLP | KaeDe: Progressive Generation of Logical Forms via Knowledge-Aware Question Decomposition for Improved KBQA. | Ranran Bu, Jian Cao, Jianqi Gao, Shiyou Qian, Hongming Cai |
| 2025 | ICASSP | Enhancing Graph-based Fraud Detection by Adversarial Confidence Reweighting. | Jianqi Gao, Jian Cao, Shiyou Qian, Wei Guan |
| 2025 | ICASSP | Promoting PLM Fine-Tuning through Consistency Adversarial Training. | Jianqi Gao, Jian Cao, Jinghua Tang |
| 2025 | ICASSP | Improving Knowledge Base Question Answering via Retrieval Enhancement and Stepwise Reasoning. | Dian Huang, Jianqi Gao, Xiangfeng Luo, Hao Wu |
| 2025 | ICRA | Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation. | Jianqi Gao, Xizheng Pang, Qi Liu, Yanjie Li |
| 2025 | IJCNN | Adversarial Contrastive Training in Parameter Space for Improved Text Classification. | Hao Wu, Xiangfeng Luo, Jianqi Gao, Dian Huang |
| 2025 | ICTAI | CANA: Enhancing Graph-Based Fraud Detection via Confidence-Aware Neighborhood Aggregation. | Zujia Wang, Jianqi Gao, Hang Yu, Zhengyang Liu, Junquan Gu, Xiangfeng Luo, Xue Chen |
| 2025 | WWW | 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 |
| 2022 | ICANN | 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 |
| 2021 | ICTAI | Causal Event Extraction using Iterated Dilated Convolutions with Semantic Convolutional Filters. | Jianqi Gao, Xiangfeng Luo, Hao Wang, Zijian Wang |
| 2021 | PAKDD | Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion. | Zijian Wang, Hao Wang, Xiangfeng Luo, Jianqi Gao |
| 2020 | ICONIP | Open Event Trigger Recognition Using Distant Supervision with Hierarchical Self-attentive Neural Network. | Xinmiao Pei, Hao Wang, Xiangfeng Luo, Jianqi Gao |