朱能军｜上海大学｜学者主页

2026

大模型驱动的可解释医疗推荐技术综述

赵海燕，郝家辉，曹健，朱能军，朱思吉

《小型微型计算机系统》

DOI

2026

大语言模型赋能乳腺外科精准决策与全周期病人管理

朱能军，曹健，陈小松，朱思吉

《外科理论与实践》

2026

MFPO: A Multi-Sided Fairness Particle Optimization Model for Product Recommendations by Considering Interest of Users, Providers, and Platforms

Yixun Lu, Nengjun Zhu

2026 9th International Conference on Advanced Algorithms and Control Engineering (ICAACE)

DOI

2026

DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation

Nengjun Zhu, Lingdan Sun, Qi Zhang, Jian Cao, Hang Yu

AAAI Conference on Artificial Intelligence

DOI

2026

Trusted and explainable collective learning for conflictive multi-view decision-making

Nengjun Zhu, Zhiyu Zhang, Shenghui Lan, Jian Cao, Siji Zhu

Knowledge and Information Systems

DOI

2025

Trusted Collective Learning for Conflictive Multi-View Decision-Making

Nengjun Zhu, Zhiyu Zhang, Chenmeijin Liang, Jian Cao, Siji Zhu, Xiao Mei Wei

Proceedings

DOI

2025

A Fairness-Aware Recommender System Based on Genetic Algorithms for User, Provider and Platform Optimization

Huanjing Gao, Yixun Lu, Nengjun Zhu

International Conference on Advanced Algorithms and Control Engineering (ICAACE)

DOI

2024

Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation

Nengjun Zhu, Lingdan Sun, Xiangfeng Luo, Jian Cao, Qi Zhang, Xinjiang Lu

Industrial Conference on Data Mining

DOI

2024

R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation

Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Zixuan Yuan, Huanjing Gao

International Joint Conference on Artificial Intelligence

DOI

2024

Toward medical test recommendation from optimal attribute selection perspectives: a backward reasoning approach

Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Siji Zhu

Complex & Intelligent Systems

DOI

2024

VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection

Shouyu Chen, Liang Hu, Tangwei Ye, Zhongyuan Lai, Qi Zhang, Ke Liu, Usman Naseem, Ke Sun, Nengjun Zhu

ACM International Conference on Multimedia (ACM MM)

DOI

2024

Distributed Recommendation Systems: Survey and Research Directions

Qiqi Cai, Jian Cao, Guandong Xu, Nengjun Zhu

ACM Transactions on Information Systems

DOI

2023

Enhancing Next-Item Recommendation Through Adaptive User Group Modeling

Nengjun Zhu, Lingdan Sun, Jian Cao, Xinjiang Lu, Runtong Li

Journal of Social Computing

DOI

2023

What's next? Adaptive user group modeling can give you the answer

Nengjun Zhu

2023

SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions

Bo-Han Jia, Jiangxia Cao, Shi-You Qian, Nengjun Zhu, Xin Dong, Liang Zhang, Lei Cheng, Linjian Mo

ACM Transactions on Knowledge Discovery from Data

DOI

2023

MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs

Nengjun Zhu, Jieyun Huang, Jian Cao, Xinjiang Lu, Hao Liu, Hui Xiong

Industrial Conference on Data Mining

DOI

2023

FRS4CPP: A Fair Recommendation Strategy Considering Interests of Users, Providers and Platform

Haiyan Zhao, P. Zhou, Jian Cao, Nengjun Zhu

Chinese Conference on Computer Supported Cooperative Work and Social Computing

DOI

2023

SNN-BS: A Clinical Terminology Standardization Method Using Siamese Networks with Batch Sampling Strategy

Xiao Wei, Xiaoxin Wang, Nengjun Zhu

Lecture notes in computer science

DOI

2022

多层次个性化临床路径推荐方法

顾扬，曹健，朱能军，陈小松，沈坤炜

《计算机集成制造系统》

DOI

2022

Learning User Embeddings Based on Long Short-Term User Group Modeling for Next-Item Recommendation

Nengjun Zhu, Jieyun Huang, Jian Cao, Shan-Shan Feng

Chinese Conference on Computer Supported Cooperative Work and Social Computing

DOI

2022

RecNet: A Resource-Constraint Aware Neural Network for Used Car Recommendation

Haihua Shi, J. Qian, Nengjun Zhu, Tong Zhang, Zhen Cui, Qian-Liang Wu, Shanshan Feng

International Journal of Computational Intelligence Systems

DOI

2022

CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users

Hao-Ran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, D. Dou, Hui Xiong

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2021

先验知识辅助的Top-N推荐算法研究

朱能军

《上海交通大学》

2021

Learning a Hierarchical Intent Model for Next-Item Recommendation

Nengjun Zhu, Jian Cao, Xinjiang Lu, Hui Xiong

ACM Trans. Inf. Syst.

DOI

2020

A semi-supervised attention model for identifying authentic sneakers

Yang Yang, Nengjun Zhu, Yi-Feng Wu, Jian Cao, De-Chuan Zhan, Hui Xiong

Big Data Mining and Analytics

DOI

2020

Enhancing Cross-domain Recommendation through Preference Structure Information Sharing

Nengjun Zhu, Jian Cao

2020 IEEE International Conference on Web Services (ICWS)

DOI

2020

A Decision Support System with Intelligent Recommendation for Multi-disciplinary Medical Treatment

Nengjun Zhu, Jian Cao, K. Shen, Xiaosong Chen, Si-Ji Zhu

ACM Trans. Multim. Comput. Commun. Appl.

DOI

2020

Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation

Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong

Web Search and Data Mining

DOI

2020

Leveraging pointwise prediction with learning to rank for top-N recommendation

Nengjun Zhu, Jian Cao, Xinjiang Lu, Qi Gu

World wide web (Bussum)

DOI

2020

CPL: A Combined Framework of Pointwise Prediction and Learning to Rank for top-N Recommendations with Implicit Feedback

Nengjun Zhu, Jian Cao

WISE

DOI

2018

An Adaptive k-NN Classifier for Medical Treatment Recommendation Under Concept Drift

Nengjun Zhu, Jian Cao, Yan Zhang

Chinese Conference on Computer Supported Cooperative Work and Social Computing

DOI

2017

GTRM: A Top-N Recommendation Model for Smartphone Applications

Nengjun Zhu, Jian Cao

2017 IEEE International Conference on Web Services (ICWS)

DOI

2016

Service Package Recommendation for Mashup Development Based on a Multi-level Relational Network

Jian Cao, Yijing Lu, Nengjun Zhu

International Conference on Service Oriented Computing

DOI

朱能军

精选作品

期刊论文

大模型驱动的可解释医疗推荐技术综述

大语言模型赋能乳腺外科精准决策与全周期病人管理

MFPO: A Multi-Sided Fairness Particle Optimization Model for Product Recommendations by Considering Interest of Users, Providers, and Platforms

DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation

Trusted and explainable collective learning for conflictive multi-view decision-making

Trusted Collective Learning for Conflictive Multi-View Decision-Making

A Fairness-Aware Recommender System Based on Genetic Algorithms for User, Provider and Platform Optimization

Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation

R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation

Toward medical test recommendation from optimal attribute selection perspectives: a backward reasoning approach

VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection

Distributed Recommendation Systems: Survey and Research Directions

Enhancing Next-Item Recommendation Through Adaptive User Group Modeling

What's next? Adaptive user group modeling can give you the answer

SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions

MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs

FRS4CPP: A Fair Recommendation Strategy Considering Interests of Users, Providers and Platform

SNN-BS: A Clinical Terminology Standardization Method Using Siamese Networks with Batch Sampling Strategy

多层次个性化临床路径推荐方法

Learning User Embeddings Based on Long Short-Term User Group Modeling for Next-Item Recommendation

RecNet: A Resource-Constraint Aware Neural Network for Used Car Recommendation

CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users

先验知识辅助的Top-N推荐算法研究

Learning a Hierarchical Intent Model for Next-Item Recommendation

A semi-supervised attention model for identifying authentic sneakers

Enhancing Cross-domain Recommendation through Preference Structure Information Sharing

A Decision Support System with Intelligent Recommendation for Multi-disciplinary Medical Treatment

Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation

Leveraging pointwise prediction with learning to rank for top-N recommendation

CPL: A Combined Framework of Pointwise Prediction and Learning to Rank for top-N Recommendations with Implicit Feedback

An Adaptive k-NN Classifier for Medical Treatment Recommendation Under Concept Drift

GTRM: A Top-N Recommendation Model for Smartphone Applications

Service Package Recommendation for Mashup Development Based on a Multi-level Relational Network

研究方向