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Zhengfei Shen, Jian Cao, Nengjun Zhu. "A New k-Nearest Neighbors Algorithm for Learning from Multiple Experts' Uncertain Decisions." in Proceedings of the IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2021. |
2021-09-01 |
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| 会议 |
Yang Gu, Jian Cao, Nengjun Zhu. "A Method of Multilevel Personalized Clinical Path Recommendation." in The Chinese Conference on Business Process Management (CBPM2021). 2021. |
2021-09-01 |
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| 会议 |
Nengjun Zhu, Jian Cao, and Yang Zhang. "An Adaptive k-NN Classifier for Medical Treatment Recommendation under Concept Drift." in Proceedings of CCF Conference on Computer Supported Cooperative Work and Social Computing. Springer, 2018, pp. 546-556. |
2018-09-01 |
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| 会议 |
Jian Cao, Yijing Lu and Nengjun Zhu. "Service Package Recommendation for Mashup Development Based on a Multi-level Relational Network." in Proceedings of the International Conference on Service-Oriented Computing (ICSOC). Springer, 2016 pp. 666-674. (CCF-B) |
2016-09-01 |
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| 会议 |
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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| 会议 |
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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| 会议 |
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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| 会议 |
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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| 会议 |
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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| 会议 |
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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| 会议 |
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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| 会议 |
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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| 会议 |
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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| 会议 |
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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| 会议 |
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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