| 期刊 |
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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| 期刊 |
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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| 会议 |
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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| 会议 |
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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| 会议 |
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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| 期刊 |
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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| 会议 |
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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| 期刊 |
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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| 期刊 |
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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| 会议 |
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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| 期刊 |
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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| 期刊 |
Nengjun Zhu, Jian Cao, Xinjiang Lu, Hui Xiong. "Learning a Hierarchical Intent Model for Next-Item Recommendation." ACM Transactions on Information Systems (TOIS). 2021. vol. 40, no. 2, article 38, pp. 1-28, (CCF-A) |
2021-09-01 |
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