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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, 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) |
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) |
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, Research paper) |
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) |
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, 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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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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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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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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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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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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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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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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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." 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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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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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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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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