Nengjun Zhu

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

Jian Cao, Xiaosong Chen, Nengjun Zhu, 2020, ACM Trans. Multim. Comput. Commun. Appl..

Enhancing Cross-domain Recommendation through Preference Structure Information Sharing

Nengjun Zhu, Jian Cao, Jian Cao, 2020, 2020 IEEE International Conference on Web Services (ICWS).

GTRM: A Top-N Recommendation Model for Smartphone Applications

Jian Cao, Nengjun Zhu, 2017, 2017 IEEE International Conference on Web Services (ICWS).

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

Jian Cao, Nengjun Zhu, Yijing Lu, 2016, ICSOC.

Spatio-Temporal Dual Graph Attention Network for Query-POI Matching

Hao Liu, Yanchi Liu, Fei Yi, 2020, SIGIR.

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

Yan Zhang, Jian Cao, Nengjun Zhu, 2018 .

A semi-supervised attention model for identifying authentic sneakers

De-Chuan Zhan, Yang Yang, Hui Xiong, 2020, Big Data Min. Anal..

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

Nengjun Zhu, Jian Cao, Qi Gu, 2020 .

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

Jian Cao, Nengjun Zhu, 2019, WISE.

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

Yang Yang, Jian Cao, Yanchi Liu, 2020, WSDM.

A New $k$-Nearest Neighbors Algorithm for Learning from Multiple Experts' Uncertain Decisions

Jian Cao, Nengjun Zhu, Zhengfei Shen, 2021, 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD).