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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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Nengjun Zhu and Jian Cao. "GTRM: A Top-N Recommendation Model for Smartphone Applications." in Proceedings of the IEEE International Conference on Web Services (ICWS). IEEE, 2017, pp. 309-316. (CCF-B, Research paper) |
2017-09-01 |
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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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Nengjun Zhu and Jian Cao. "CPL: A Combined Framework of Pointwise Prediction and Learning to Rank for top-N Recommendations with Implicit Feedback." in Proceedings of the International Conference on Web Information Systems Engineering (WISE). Springer, 2019. (CCF-C, Long paper) |
2019-09-01 |
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Nengjun Zhu, Jian Cao, Xinjiang Lu, and Qi Gu, Leveraging pointwise prediction with learning to rank for top-N recommendation, World Wide Web. Springer US, 2020. vol. 24, no. 1, pp. 375-396, CCF-B期刊 |
2020-09-01 |
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Nengjun Zhu, Jian Cao, Kunwei Shen, Xiaosong Chen, and Siji Zhu, A Decision Support System with Intelligent Recommendation for Multi-Disciplinary Medical Treatment, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM). ACM, 2020. vol. 16, no. 1s, 33, pp1-23, CCF-B期刊 |
2020-09-01 |
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Nengjun Zhu, Jian Cao. "Enhancing Cross-domain Recommendation through Preference Structure Information Sharing." in Proceedings of the IEEE International Conference on Web Services (ICWS). IEEE, 2020. (CCF-B, Research paper) |
2020-09-01 |
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Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong, Spatio-temporal dual graph attention network for query-poi matching, in Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR). ACM, 2020. (CCF-A, Research paper) |
2020-09-01 |
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Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, and Hui Xiong, Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation, in Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM). ACM, 2020. pp807-815, CCF-B会 |
2020-09-01 |
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Yang Yang, Nengjun Zhu, Yifeng Wu, Jian Cao, Dechuan Zhan, and Hui Xiong, A Semi-Supervised Attention Model for Identifying Authentic Sneakers, Big Data Mining and Analytics, vol. 3, no. 1, pp. 29-40, IEEE, 2020. (中科院一区) |
2020-09-01 |
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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期刊 |
2021-09-01 |
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顾扬,曹健, 朱能军, 陈小松,沈坤炜, 多层次个性化临床路径的推荐方法, 计算机集成制造系统:1-18. 2021-12 |
2021-09-01 |
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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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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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Haihua Shi, Jianjun Qian, Nengjun Zhu*, Tong Zhang, Zhen Cui, Qianliang Wu, and Shanshan Feng, RecNet: A Resource‐Constraint Aware Neural Network for Used Car Recommendation, International Journal of Computational Intelligence Systems, 2022, 15(1), 91:1-10, SCI, IF2.5 |
2022-09-01 |
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Nengjun Zhu, Jian Cao*, Xinjiang Lu, Chuanren Liu, Hao Liu, Yanyan Li, Xiangfeng Luo, and 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, 16(2), 116: 1-23, SCI, IF4.4, 中科院3区，CCF-B刊 |
2022-09-01 |
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Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, and Hui Xiong, CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users, Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR), 2022, 1174-1184, EI, CCF-A会 |
2022-09-01 |
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Yuan Sui, Shanshan Feng, Huaxiang Zhang, Jian Cao, Liang Hu, and Nengjun Zhu, Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs, Knowledge-Based Systems, 2022, 250, 1-6, SCI, IF8.8, 中科院1区 |
2022-09-01 |
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Nengjun Zhu, Jieyun Huang, Jian Cao, and Shanshan Feng, Learning User Embeddings based on Long Short-Term User Group Modeling for Next-Item Recommendation, Proceedings of CCF Conference on Computer Supported Cooperative Work and Social Computing, 2022, EI, CCSCW最佳论文 |
2022-11-01 |
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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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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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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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Xiao Wei, Xiaoxin Wang, Nengjun Zhu*, SNN-BS: A Clinical Terminology Standardization Method using Siamese Networks with Batch Sampling Strategy, Proceedings of International Conference Advanced Data Mining and Applications (ADMA), 2023, 272-287, EI, CCF-C会 |
2023-09-01 |
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Yang Gu, Jian Cao, Shiyou Qian, Nengjun Zhu, and Wei Guan, MANSOR: A Module Alignment Method Based on Neighbor Information for Scientific Workflow, Concurrency and Computation-Practice & Experience. 2024,36(10), SCI, CCF-C |
2023-09-01 |
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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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