孟顺梅
  • 出生年月:1989年1月
  • 民 族: 汉族
  • 政治面貌: 中国共产党党员
  • 最后学历: 博士研究生
  • 最后学位: 工学博士
  • 技术职称: 副教授
  • 导师类别: 硕士生导师
  • 邮箱:mengshunmei@njust.edu.cn
访问次数 53425 次
更新日期 2024年9月6日
指导学科
  • 主学科0839 网络空间安全【硕士生导师】
  • 研究方向

    云计算,推荐系统,资源调度,服务计算,隐私安全

  • 跨学科
  • 二级学科
  • 研究方向
  • 专业学位0854 电子信息
  • 研究方向
工作经历

2016/06-2021/08,南京理工大学,计算机科学与工程学院,讲师

2021/09-至今,南京理工大学,计算机科学与工程学院,副教授

 

教育经历

2013/09-2016/06,南京大学,计算机科学与技术系,博士

2011/09-2013/06,南京大学,计算机科学与技术系,硕士

2007/09-2011/06,南京理工大学,计算机科学与技术学院,学士

 

科研项目
1. 国家青年自然科学基金项目,61702264,移动云环境下基于上下文信息的个性化推荐模型研究,2018/01-2020/12,主持
2. 高新工程重大专项子课题,基于机器学习的FSY与ZY综合性能评价研究,2022/01-2025/12,主持
3. 国网江苏省电力有限公司科技项目,国网江苏信通公司2023年面向电力业务的敏感数据安全风险监测及追踪技术研究,2023/11-2024/12,主持
4. 中国博士后科学基金面上资助项目,2019M651835,面向稀疏数据的分布式混合协同推荐方法研究,2019/09-2021/08,主持
5. 软件新技术国家重点实验室开放课题(南京大学), KFKT2022B28, 可解释性深度推荐模型研究, 2022/06-2024/05,主持
6. 软件新技术国家重点实验室开放课题(南京大学),KFKT2017B07,移动云环境下时空上下文感知的个性化推荐模型研究,2017/07-2019/06,主持
7. 南京理工大学自主科研专项计划项目,30919011282,面向稀疏数据的分布式混合协同推荐方法研究,2019/09-2021/08,主持
8. 国家自然科学基金委员会,面上项目,61972202,基于深度强化学习的网状服务系统云计算异构资源租赁与调度,2020/01-2023/12,参与
9. 国家自然科学基金委员会,重大研究计划,91846104,众包大数据多源异构融合与知识学习,2019/01-2021/12,参与
10. 国家自然科学基金(国际交流合作项目),6171101195,面向数据感知服务组合的过程挖掘研究,2018/01-2020/12,参与
 
发表论文

Longchuan Tu, Shunmei Meng*, Lianyong Qi, Xiaolong Xu, Xuyun Zhang. Hyperbolic Contrastive Learning with Second Order Sampling for Collaborative Filtering. International Conference on Web Services, 2024. (CCF B)

Nan Liu, Shunmei Meng*, Yu Jiang, Qianmu Li, Xiaolong Xu, Lianyong Qi, Xuyun Zhang. Cascading graph convolution contrastive learning networks for multi-behavior recommendation. Proceeding of the 29th International Conference on Database Systems for Advanced Applications (DASFAA). 2024.(CCF B)

Shunmei Meng, Qianmu Li, Lianyong Qi, Xiaolong Xu, Rui Yuan, Xuyun Zhang An Intelligent Recommendation Method based on Multi-Interest Network and Adversarial Deep Learning. Computers & Security, 2023, 130: 103264. (CCF B)

Xiao Liu, Shunmei Meng*, Qianmu Li, Lianyong Qi, Xiaolong Xu, Wanchun Dou and Xuyun Zhang. SMEF: Social-aware Multi-dimensional Edge Features-based Graph Representation Learning for Recommendation, 2023 ACM Conference on Information and Knowledge Management (CIKM), 2023. ( CCF B)

Shunmei Meng, Shaoyu Fan, Qianmu Li, Xinna Wang, Jing Zhang, Xiaolong Xu, Lianyong Qi, Md Zakirul Alam Bhuiyan. Privacy-aware Factorization-based Hybrid Recommendation Method for Healthcare Services. IEEE Transactions on Industrial Informatics, 2022, 18(8): 5637-5647. (中科院一区)

Shunmei Meng, Wanchun Dou, Xuyun Zhang, Jinjun Chen. KASR: A Keyword-Aware Service Recommendation Method on MapReduce for Big Data Applications. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2014, 25(12): 3221-3231 (CCF A).

Shunmei Meng, Weijia Huang, Xiaochun Yin, Mohammad R. Khosravi, Qianmu Li, Shaohua Wan, Lianyong Qi. Security-aware Dynamic Scheduling for Real-time Optimization in Cloud-based Industrial Applications. IEEE Transactions on Industrial Informatics (TII), 2021, 17(6): 4219-4228.  (中科院一区).

Xiao Liu, Shunmei Meng*, Qianmu Li, Xiaolong Xu, Lianyong Qi, Wanchun Dou, Jing Zhang and Xuyun Zhang. Disentangled Hypergraph Collaborative Filtering for Social Recommendation. 2023 IEEE International Conference on Web Services (ICWS), 2023. (CCF B)

Jiabo Zhuang, Shunmei Meng*, Jing Zhang, Victor S. Sheng. Contrastive Learning based Graph Convolution Network for Social Recommendation, ACM Transactions on Knowledge Discovery from Data, 2023, 17(8): 1-21. (CCF B)

Shunmei Meng, Zijian Gao, Qianmu Li, Hao Wang, Hong-Ning Dai, Lianyong Qi. Security-Driven Hybrid Collaborative Recommendation Method for Cloud-based IoT Services. Computers & Security (COSE), 2020: 101950 (CCF B).

Shunmei Meng, Lianyong Qi, Qianmu Li, Wenmin Lin, Xiaolong Xu, Shaohua Wan. Privacy-preserving and Sparsity-aware Location-based Prediction Method for Collaborative Recommender Systems. Future Generation Computer Systems (FGCS), 2019, 96: 324-335 (中科院二区).

Shunmei Meng, Qianmu Li, Weijia Huang, Jing Zhang and Weimin Li. A Fault-Tolerant Dynamic Scheduling Method On Hierarchical Mobile Edge Cloud Computing. Computational Intelligence, 2019, 35(3): 577-598 (CCF C).

Shunmei Meng, Qianmu Li, Jing Zhang, Wenmin Lin and Wanchun Dou. Temporal-aware and sparsity-tolerant hybrid collaborative recommendation method with privacy preservation. Concurrency and Computation: Practice and Experience (CCPE), 2020, 32(2): e5447 (CCF C).

Shunmei Meng, Qianmu Li, Shiping Chen, Shui Yu, Lianyong Qi, Wenmin Lin, Xiaolong Xu, Wanchun Dou. Temporal-Sparsity aware Service Recommendation Method via Hybrid Collaborative Filtering Techniques. 2018 IEEE 16th International Conference on Service Oriented Computing (ICSOC), Zhejiang, China, Springer, Cham, 2018: 421-429 (CCF B).

Shunmei Meng, Song Wang, Taotao Wu, Duanchao Li, Taigui Huang, XiaoTong Wu, Xiaolong Xu, Wanchun Dou. An Uncertainty-aware Evolutionary Scheduling Method for Cloud Service Provisioning. 2016 IEEE 23rd International Conference on Web Services (ICWS), San Francisco, USA, 2016: 506-513 (CCF B).

Shunmei Meng, Zuojian Zhou, Taigui Huang, Duanchao Li, Song Wang, Fan Fei, Wenping Wang, Wanchun Dou. A Temporal-aware Hybrid Collaborative Recommendation Method for Cloud Service. 2016 IEEE 23rd International Conference on Web Services (ICWS), San Francisco, USA, 2016: 252-259 (CCF B).

Qianmu Li, Shunmei Meng, Xiaonan Sang, Hanrui Zhang, Shoujin Wang, Ali Kashif Bashir, Keping Yu, Usman Tariq. Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing. ACM Transactions on Internet Technology, 2021, 21(3): 1-33. (CCF B)

HuiHui Wang, Shunmei Meng, Yiming Qiao, Jing Zhang. Fast Classification Algorithms via Distributed Accelerated Alternating Direction Method of Multipliers. 2019 IEEE International Conference on Data Mining (ICDM). IEEE, 2019: 1354-1359 (CCF B).

Jing Zhang, Huihui Wang, Shunmei Meng, Victor S. Sheng. Interactive Learning with Proactive Cognition Enhancement for Crowd Workers. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020, 34(01): 540-547 (CCF A).

 

科研创新

专利:

1. 孟顺梅,高子健,一种基于稀疏性感知的分布式混合协同智能推荐方法,2022,中国, CN111259267B(已授权)

2. 窦万春,孟顺梅,基于Map-Reduce实现的兴趣感知的服务推荐方法,2013,中国,CN 103455613 A.(已授权)