| 2026 | WWW | Unlearning of Knowledge Graph Embedding via Preference Optimization. | Jiajun Liu, Wenjun Ke, Peng Wang, Yao He, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji |
| 2025 | ACL | Towards Medical Complex Reasoning with LLMs through Medical Verifiable Problems. | Junying Chen, Zhenyang Cai, Ke Ji, Xidong Wang, Wanlong Liu, Rongsheng Wang, Benyou Wang |
| 2025 | ACL | CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis. | Junying Chen, Chi Gui, Anningzhe Gao, Ke Ji, Xidong Wang, Xiang Wan, Benyou Wang |
| 2025 | ACL | Unlocking LLMs' Self-Improvement Capacity with Autonomous Learning for Domain Adaptation. | Ke Ji, Junying Chen, Anningzhe Gao, Wenya Xie, Xiang Wan, Benyou Wang |
| 2025 | ACL | Enhancing Persona Consistency for LLMs' Role-Playing using Persona-Aware Contrastive Learning. | Ke Ji, Yixin Lian, Linxu Li, Jingsheng Gao, Weiyuan Li, Bin Dai |
| 2025 | CSCWD | LMFN: Label-Aware Multi-Semantic Fusion Network for Multi-Label Text Classification. | Xiaoyun Liu, Weijuan Zhang, Kun Ma, Yanfang Qiu, Ke Ji, Bo Yang |
| 2025 | CSCWD | Entity-Aware Multi-Perspective Semantic Fusion Network for Fact-Checking Fake News Detection. | Yanfang Qiu, Weijuan Zhang, Kun Ma, Xiaoyun Liu, Ke Ji, Bo Yang |
| 2025 | EMNLP | RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions. | Wanlong Liu, Junying Chen, Ke Ji, Li Zhou, Wenyu Chen, Benyou Wang |
| 2025 | ICLR | SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback. | Jingsheng Gao, Linxu Li, Ke Ji, Weiyuan Li, Yixin Lian, Yuzhuo Fu, Bin Dai |
| 2025 | IJCNN | Fake News Detection Based on Cross-Semantic Multimodal Data Fusion. | Ruxin Wang, Ke Ji, Yuan Gao, Kun Ma, Chong Ma, Xiaofan Zhao |
| 2024 | AAAI | LAMM: Label Alignment for Multi-Modal Prompt Learning. | Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang, Zefang Yu, Ke Ji, Mingye Xie, Ting Liu, Yuzhuo Fu |
| 2024 | AAAI | Towards Continual Knowledge Graph Embedding via Incremental Distillation. | Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu |
| 2024 | AAAI | OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning. | Ziyu Shang, Wenjun Ke, Nana Xiu, Peng Wang, Jiajun Liu, Yanhui Li, Zhizhao Luo, Ke Ji |
| 2024 | APWEB | Malicious Attack Detection Method for Recommendation Systems Based on Meta-pseudo Labels and Dynamic Features. | Hui Liu, Ke Ji, Zhenxiang Chen, Kun Ma, Xiaofan Zhao |
| 2024 | COLING | Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction. | Guozheng Li, Wenjun Ke, Peng Wang, Zijie Xu, Ke Ji, Jiajun Liu, Ziyu Shang, Qiqing Luo |
| 2024 | EMNLP | Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale. | Junying Chen, Chi Gui, Ruyi Ouyang, Anningzhe Gao, Shunian Chen, Guiming Chen, Xidong Wang, Zhenyang Cai, Ke Ji, Xiang Wan, Benyou Wang |
| 2024 | IJCAI | Incorporating Schema-Aware Description into Document-Level Event Extraction. | Zijie Xu, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Ke Ji, Xiye Chen, Chenxiao Wu |
| 2024 | IJCAI | Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification. | Ke Ji, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Jingsheng Gao, Ziyu Shang |
| 2024 | IJCAI | Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction. | Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu |
| 2024 | IJCAI | Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors. | Guozheng Li, Peng Wang, Jiajun Liu, Yikai Guo, Ke Ji, Ziyu Shang, Zijie Xu |
| 2024 | IJCAI | Empirical Analysis of Dialogue Relation Extraction with Large Language Models. | Guozheng Li, Zijie Xu, Ziyu Shang, Jiajun Liu, Ke Ji, Yikai Guo |
| 2024 | IJCAI | Fast and Continual Knowledge Graph Embedding via Incremental LoRA. | Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li |
| 2024 | ISPA | A Multimodal Fusion Framework for Fake News Detection via Multi-Attention Mechanism. | Yongxin Yu, Yanqiang Li, Ke Ji, Zhenxiang Chen, Kun Ma, Xiaofan Zhao |
| 2024 | PAKDD | MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection. | Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu |
| 2023 | AAAI | fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation. | Peng Wang, Tong Shao, Ke Ji, Guozheng Li, Wenjun Ke |
| 2023 | ACL | Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification. | Ke Ji, Yixin Lian, Jingsheng Gao, Baoyuan Wang |
| 2022 | APWEB | Fake News Detection Based on the Correlation Extension of Multimodal Information. | Yanqiang Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jin Zhou, Jun Wu |
| 2021 | WISE | HACK: A Hierarchical Model for Fake News Detection. | Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li, Guandong Xu |
| 2021 | WISE | Expert Recommendations with Temporal Dynamics of User Interest in CQA. | Xiaoqi Lv, Ke Ji, Zhenxiang Chen, Kun Ma, Jun Wu, Yidong Li, Guandong Xu |
| 2020 | IECON | Optimization of passive thermosiphon beam system with genetic algorithm. | Ke Ji, Wenjian Cai, Xianhua Ou, Xin Zhang |
| 2019 | HPCC | Stacking-Based Ensemble Learning on Low Dimensional Features for Fake News Detection. | Songqian Li, Kun Ma, Xuewei Niu, Yufeng Wang, Ke Ji, Ziqiang Yu, Zhenxiang Chen |
| 2019 | TrustCom | A Signature-Based Assistant Random Oversampling Method for Malware Detection. | Ying Pang, Zhenxiang Chen, Lizhi Peng, Kun Ma, Chuan Zhao, Ke Ji |
| 2018 | ISDA | Cluster Center Initialization and Outlier Detection Based on Distance and Density for the K-Means Algorithm. | Qi He, Zhenxiang Chen, Ke Ji, Lin Wang, Kun Ma, Chuan Zhao, Yuliang Shi |
| 2018 | IWQoS | Deep and Broad Learning Based Detection of Android Malware via Network Traffic. | Shanshan Wang, Zhenxiang Chen, Qiben Yan, Ke Ji, Lin Wang, Bo Yang, Mauro Conti |
| 2018 | UIC | POMon: From Simple Keyword Matching to Stream-Based Live Probabilistic Topic Matching. | Kun Ma, Xuewei Niu, Ziqiang Yu, Ke Ji |
| 2017 | ICA3PP | Stream-Based Live Probabilistic Topic Computing and Matching. | Kun Ma, Ziqiang Yu, Ke Ji, Bo Yang |
| 2014 | PAKDD | Two-Phase Layered Learning Recommendation via Category Structure. | Ke Ji, Hong Shen, Hui Tian, Yanbo Wu, Jun Wu |