| Journal |
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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| 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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| 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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| Journal |
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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| Journal |
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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| Journal |
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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| Conference |
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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| Conference |
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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| Conference |
Yang Gu, Jian Cao*, Hengyu You, Nengjun Zhu*, and Shiyou Qian, ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model, AAAI 2025 (CCF-A, Accepted) |
2024-12-01 |
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