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Jianqi Gao, Hang Yu, Jian Cao, Ranran Bu, Jinghua Tang, Nengjun Zhu, Yonggang Zhang, Generating then Refining for Reliable Knowledge Base Question Answering, ACL 2026 |
2026-04-01 |
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| Conference |
Nengjun Zhu, Yixun Lu, and Qi Zhang, QDDR: Quality-Aware Intent Disentanglement with Dual-Path Modeling for Recommendation, Proceedings of the WWW, 2026, CCF-A会 |
2026-01-01 |
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| Conference |
Nengjun Zhu*, Lingdan Sun, Qi Zhang, Jian Cao, Hang Yu, DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation, Proceedings of the AAAI, 2026, CCF-A会 |
2025-11-01 |
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Nengjun Zhu, Yuqiang Ren, Yu Liu, Hang Yu, Xinzhi Wang, and Xiangfeng Luo, MMGCL: Multi-Scale and Multi-Channel Graph Contrastive Learning for Flight Anomaly Detection, Knowledge-Based Systems, 2025, SCI, IF7.6, 中科院1区 |
2025-08-01 |
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Nengjun Zhu*, Zhiyu Zhang, Chenmeijin Liang, Jian Cao, Siji Zhu*, and Xiao Wei, Trusted Collective Learning for Conflictive Multi-View Decision-Making, Proceedings of the IEEE International Conference on Data Mining (ICDM), 2025, CCF-B会，最佳论文提名 |
2025-08-01 |
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Yang Gu, Jian Cao*, Hengyu You, Nengjun Zhu*, and Shiyou Qian, ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model, Proceedings of the AAAI, 2025, 16915-16923, EI, CCF-A会 |
2024-12-01 |
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Jianqi Gao, Jiao Cao, and Nengjun Zhu, Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms, Proceedings of the AAAI, 2025, CCF-A会 |
2024-12-01 |
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Xinzhi Wang, Mengyue Li, Nengjun Zhu*, Jiayan Qian, and Zhanyi Zheng, Early Fire Detection based on Local Morphological Knowledge Matching, Proceedings of the IEEE International Conference on Data Mining (ICDM), 2024, 490-499, EI, CCF-B会 |
2024-09-01 |
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Nengjun Zhu*, Lingdan Sun, Xiangfeng Luo, Jian Cao, Qi Zhang, and Xinjiang Lu, Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation, Proceedings of the IEEE International Conference on Data Mining (ICDM), 2024, 965-970, EI, CCF-B会 |
2024-09-01 |
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Nengjun Zhu*, Jieyun Huang, Jian Cao, Liang Hu, and Siji Zhu, Toward Medical Test Recommendation from Optimal Attribute Selection Perspectives: A Backward Reasoning Approach, Complex & Intelligent Systems, 2025, 11(1), 1-17, SCI, IF5.2, 中科院2区 |
2024-08-01 |
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Qiqi Cai, Jian Cao, and Guandong Xu, and Nengjun Zhu, Distributed Recommendation Systems: Survey and Research Directions, ACM Transactions on Information Systems, 2024,43(1), SCI, IF6, CCF-A刊 |
2024-08-01 |
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Hang Yu, Weixu Liu, Nengjun Zhu*, Pengbo Li, and Xiangfeng Luo, IN-GFD: An Interpretable Graph Fraud Detection Model for Spam Reviews, IEEE Transactions on Artificial Intelligence (TAI), 2024, 1-14, Article in Press, EI |
2024-07-01 |
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| Conference |
Shouyu Chen, Tangwei Ye, Laizhong Yuan, Qi Zhang, Ke Liu, Usman Naseem, Ke Sun, Nengjun Zhu, and Liang Hu, VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection, Proceedings of the 32nd ACM International Conference on Multimedia (MM), 2024, 10459-10467, EI, CCF-A会 |
2024-07-01 |
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| Conference |
Yang Gu, Jian Cao, Shiyou Qian, Nengjun Zhu, and Wei Guan, ProSwats: A Proxy-based Scientific Workflow Retrieval Approach by Bridging the Gap between Textual and Structural Semantics, Proceedings of the IEEE International Conference on Web Services (ICWS), 2024, 932-943, EI, CCF-B会 |
2024-06-01 |
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| Conference |
Nengjun Zhu*, Jieyun Huang, Jian Cao, Liang Hu, Zixuan Yuan, and Huanjing Gao, R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation, Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2024, 2634-2641, EI, CCF-A会
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2024-04-01 |
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Zixuan Yuan, Junmin Liu, Haoyi Zhou, Denghui Zhang, Hao Liu, Nengjun Zhu, and Hui Xiong, LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading, IEEE Transactions On Knowledge And Data Engineering (TKDE), 2023, 36(11), 6547-6559, SCI, IF8.9, 中科院2区, CCF-A刊 |
2023-11-01 |
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Xinzhi Wang, Nengjun Zhu*, Jiahao Li, Yudong Chang, and Zhennan Li, Entity Recognition Based on Heterogeneous Graph Reasoning of Visual Region and Text Candidate, Machine Learning, 2023, 113(8), 1-20, SCI, IF5.8, 中科院3区, CCF-B刊 |
2023-10-01 |
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Xiao Wei, Chenyang Huang, and Nengjun Zhu*, Event Causality Extraction through External Event Knowledge Learning and Polyhedral Word Embedding, Machine Learning, 2023, 113(8), 5351-5378, SCI, IF5.8, 中科院3区, CCF-B刊 |
2023-10-01 |
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Nengjun Zhu, Lingdan Sun, Jian Cao*, Xinjiang Lu, Ruitong Li, Enhancing Next-Item Recommendation through Adaptive User Group Modeling, Journal of Social Computing, 2023, 4(2), 112-124, EI |
2023-09-01 |
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Bohan Jia, Jian Cao, Shiyou Qian, Nengjun Zhu, Xin Dong, Liang Zhang, Lei Cheng, and Linjian Mo, SMONE: A Session-based Recommendation Model based on Neighbor Sessions with Similar Probabilistic Intentions, ACM Transactions on Knowledge Discovery from Data (TKDD), 2023, 17(8), 111: 1-22, SCI, IF4.4, 中科院3区, CCF-B刊 |
2023-09-01 |
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| Conference |
Nengjun Zhu*, Jieyun Huang, Jian Cao, Xinjiang Lu, Hao Liu, and Hui Xiong, MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs, Proceedings of the IEEE International Conference on Data Mining (ICDM), 2023, 898-907, EI, CCF-B会 |
2023-09-01 |
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| Conference |
Haiyan Zhao, Ping Zhou, Jian Cao, and Nengjun Zhu, FRS4CPP: A Fair Recommendation Strategy Considering Interests of Users, Providers and Platform, in Proceedings of CCF Conference on Computer Supported Cooperative Work and Social Computing. Springer, 2023.8 (最佳论文奖) |
2023-09-01 |
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