代表性论文或专著 1.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 2.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 3.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 4.Qiqi Cai, Jian Cao, and Guandong Xu, and Nengjun Zhu, Distributed Recommendation Systems: Survey and Research Directions, ACM Transactions on Information Systems, 2024,43(1), SCI, IF6, CCF-A刊 5.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 6.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 7.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, IEEE Transactions On Knowledge And Data Engineering (TKDE), 2023, 36(11), 6547-6559, SCI, IF8.9, CCF-A刊 8.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 9.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 10.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 |
