Nengjun Zhu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Relational Learning

Item Recommendation

Nearest Neighbor

Medical Treatment

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Xinzhi Wang, Nengjun Zhu, Jiahao Li, Yudong Chang, Zhennan Li
Entity recognition based on heterogeneous graph reasoning of visual region and text candidate. Mach. Learn. 113 (8) (2024)
Yang Gu, Jian Cao, Shiyou Qian, Nengjun Zhu, Wei Guan
MANSOR: A module alignment method based on neighbor information for scientific workflow. Concurr. Comput. Pract. Exp. 36 (10) (2024)
Hao Wang, Tang Li, Chenhui Chu, Nengjun Zhu, Rui Wang, Pinpin Zhu
Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents. CoRR (2024)
Haiyan Zhao, Ping Zhou, Jian Cao, Nengjun Zhu
FRS4CPP: A Fair Recommendation Strategy Considering Interests of Users, Providers and Platform. ChineseCSCW (1) (2023)
Nengjun Zhu, Lingdan Sun, Jian Cao, Xinjiang Lu, Runtong Li
Enhancing Next-Item Recommendation Through Adaptive User Group Modeling. J. Soc. Comput. 4 (2) (2023)
Nengjun Zhu, Jieyun Huang, Jian Cao, Xinjiang Lu, Hao Liu, Hui Xiong
MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs. ICDM (2023)
Xinzhi Wang, Nengjun Zhu, Jiahao Li, Yudong Chang, Zhennan Li
Entity Recognition Based on Heterogeneous Graph Reasoning of Visual Region and Text Candidate. DSAA (2023)
Xiao Wei, Xiaoxin Wang, Nengjun Zhu
SNN-BS: A Clinical Terminology Standardization Method Using Siamese Networks with Batch Sampling Strategy. ADMA (2) (2023)
Bohan Jia, Jian Cao, Shiyou Qian, Nengjun Zhu, Xin Dong, Liang Zhang, Lei Cheng, Linjian Mo
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions. ACM Trans. Knowl. Discov. Data 17 (8) (2023)
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 Trans. Knowl. Discov. Data 16 (6) (2022)
Shaorong Xie, Chunning Hou, Hang Yu, Zhenyu Zhang, Xiangfeng Luo, Nengjun Zhu
Multi-label disaster text classification via supervised contrastive learning for social media data. Comput. Electr. Eng. 104 (Part) (2022)
Yuan Sui, Shanshan Feng, Huaxiang Zhang, Jian Cao, Liang Hu, Nengjun Zhu
Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs. Knowl. Based Syst. 250 (2022)
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. SIGIR (2022)
Nengjun Zhu, Jieyun Huang, Jian Cao, Shanshan Feng
Learning User Embeddings Based on Long Short-Term User Group Modeling for Next-Item Recommendation. ChineseCSCW (2) (2022)
Nengjun Zhu, Jian Cao, Xinjiang Lu, Hui Xiong
Learning a Hierarchical Intent Model for Next-Item Recommendation. ACM Trans. Inf. Syst. 40 (2) (2022)
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. Int. J. Comput. Intell. Syst. 15 (1) (2022)
Nengjun Zhu, Jian Cao, Xinjiang Lu, Qi Gu
Leveraging pointwise prediction with learning to rank for top-N recommendation. World Wide Web 24 (1) (2021)
Zhengfei Shen, Jian Cao, Nengjun Zhu, Xiaosong Chen
A New $k$-Nearest Neighbors Algorithm for Learning from Multiple Experts' Uncertain Decisions. CSCWD (2021)
Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong
Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. SIGIR (2020)
Nengjun Zhu, Jian Cao
Enhancing Cross-domain Recommendation through Preference Structure Information Sharing. ICWS (2020)
Yang Yang, Nengjun Zhu, Yi-Feng Wu, Jian Cao, De-Chuan Zhan, Hui Xiong
A semi-supervised attention model for identifying authentic sneakers. Big Data Min. Anal. 3 (1) (2020)
Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong
Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation. WSDM (2020)
Nengjun Zhu, Jian Cao, Kunwei Shen, Xiaosong Chen, Siji Zhu
A Decision Support System with Intelligent Recommendation for Multi-disciplinary Medical Treatment. ACM Trans. Multim. Comput. Commun. Appl. 16 (Special) (2020)
Nengjun Zhu, Jian Cao
CPL: A Combined Framework of Pointwise Prediction and Learning to Rank for top-N Recommendations with Implicit Feedback. WISE (2019)
Nengjun Zhu, Jian Cao, Yan Zhang
An Adaptive k-NN Classifier for Medical Treatment Recommendation Under Concept Drift. ChineseCSCW (2018)
Nengjun Zhu, Jian Cao
GTRM: A Top-N Recommendation Model for Smartphone Applications. ICWS (2017)
Jian Cao, Yijing Lu, Nengjun Zhu
Service Package Recommendation for Mashup Development Based on a Multi-level Relational Network. ICSOC (2016)