| Patent |
朱能军，孙凌丹；2024；用户行为解耦与意图学习的推荐方法及系统；申请号：202411201138.8；申请日：2024.08.29；中国 |
2024-11-01 |
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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". in Proceedings of IEEE ICDM 2024 (CCF-B, Accepted) |
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". in Proceedings of IEEE ICDM 2024 (CCF-B, Accepted) |
2024-09-01 |
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| Book |
《数据结构——C++实现（第三版）》沈俊、李晓强、朱能军、张景峤、郑宇编著，ISBN 978-7-03-077312-8 |
2024-09-01 |
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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 2024, Springer. (二区, Q1, Accepted) |
2024-08-01 |
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| Journal |
Qiqi Cai, Jian Cao, and Guandong Xu, Nengjun Zhu. "Distributed Recommendation Systems: Survey and Research Directions". TOIS 2024, (CCF-A, Accepted) |
2024-08-01 |
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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. (Accepted) |
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.” in Proceedings of ACM MM 2024 (CCF-A, Accepted) |
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", ICWS 2024 (CCF-B, Accepted) |
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." in Proceedings of IJCAI 2024, pp 2634-2641 (CCF-A)
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2024-04-01 |
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| 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". TKDE 2023, (CCF-A, Accepted) |
2023-11-01 |
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| Journal |
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, Springer. 113(8):1-20 (CCF-B, Q1) |
2023-10-01 |
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| Journal |
Xiao Wei, Chenyang Huang, and Nengjun Zhu*. "Event Causality Extraction through External Event Knowledge Learning and Polyhedral Word Embedding". Machine Learning, 2023, Springer. 113(8): 5351-5378 (CCF-B, Q1) |
2023-10-01 |
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| Journal |
Nengjun Zhu, Lingdan Sun, Jian Cao*, Xinjiang Lu, Ruitong Li. "Enhancing Next-Item Recommendation through Adaptive User Group Modeling." Journal of Social Computing. 2023 vol. 4, no. 2, pp. 112-124. |
2023-09-01 |
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| Journal |
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). vol. 17, no. 8, Article 111, 2023, (CCF-B) |
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." in Proceedings of the IEEE ICDM 2023, pp. 898-907. (Regular Paper, CCF-B). |
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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| Conference |
Xiao Wei, Xiaoxin Wang, Nengjun Zhu*. "SNN-BS: A Clinical Terminology Standardization Method using Siamese Networks with Batch Sampling Strategy." in Proceedings of International Conference Advanced Data Mining and Applications (ADMA). pp. 272-287. Springer, 2023 (CCF-C) |
2023-09-01 |
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| Journal |
Yang Gu, Jian Cao, Shiyou Qian, Nengjun Zhu, Wei Guan. "MANSOR: A Module Alignment Method Based on Neighbor Information for Scientific Workflow." Concurrency and Computation: Practice and Experience." (2023), |
2023-09-01 |
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| Conference |
Nengjun Zhu, Jieyun Huang, Jian Cao, and Shanshan Feng. "Learning User Embeddings based on Long Short-Term User Group Modeling for Next-Item Recommendation." in Proceedings of CCF Conference on Computer Supported Cooperative Work and Social Computing. Springer, 2022.11 (最佳论文奖) |
2022-11-01 |
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| Journal |
Haihua Shi, Jianjun Qian, Nengjun Zhu*, Tong Zhang, Zhen Cui, Qianliang Wu, Shanshan Feng. "RecNet: A Resource‐Constraint Aware Neural Network for Used Car Recommendation." International Journal of Computational Intelligence Systems. (2022)15:91 |
2022-09-01 |
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| Journal |
Nengjun Zhu, Jian Cao, Xinjiang Lu, Chuanren Liu, Hao Liu, Yanyan Li, Xiangfeng Luo, Hui Xiong. "Predicting a Person’s Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network." ACM Transactions on Knowledge Discovery from Data (TKDD). 2022. vol. 16, no. 2, 116: 1-23, (CCF-B) |
2022-09-01 |
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| Conference |
Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong "CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users." in Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR). ACM, 2022. (CCF-A) |
2022-09-01 |
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| Journal |
Yuan Sui, Shanshan Feng, Huaxiang Zhang, Jian Cao, Liang Hu, Nengjun Zhu. "Learning Causal Representations for Multi-Hop Question Answering over Knowledge Graphs." Knowledge-Based Systems. 2022. (中科院一区) |
2022-09-01 |
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