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Nengjun Zhu
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- affiliation: Shanghai Jiao Tong University, China
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2020 – today
- 2024
- [j14]Yang Gu
, Jian Cao, Shiyou Qian
MANSOR: A module alignment method based on neighbor information for scientific workflow. Concurr. Comput. Pract. Exp. 36(10) (2024) - [j13]Xinzhi Wang, Nengjun Zhu
Entity recognition based on heterogeneous graph reasoning of visual region and text candidate. Mach. Learn. 113(8): 5351-5378 (2024) - [j12]Hang Yu
IN-GFD: An Interpretable Graph Fraud Detection Model for Spam Reviews. IEEE Trans. Artif. Intell. 5(10): 5325-5339 (2024) - [j11]Zixuan Yuan
LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading. IEEE Trans. Knowl. Data Eng. 36(11): 6547-6559 (2024) - [c17]Yang Gu, Jian Cao, Shiyou Qian, Nengjun Zhu, Wei Guan:
ProSwats: A Proxy-based Scientific Workflow Retrieval Approach by Bridging the Gap between Textual and Structural Semantics. ICWS 2024: 932-943 - [c16]Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Zixuan Yuan, Huanjing Gao:
R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation. IJCAI 2024: 2634-2641 - [c15]Shouyu Chen
VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection. ACM Multimedia 2024: 10459-10467 - [i1]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 abs/2403.15765 (2024) - 2023
- [j10]Nengjun Zhu, Lingdan Sun, Jian Cao, Xinjiang Lu, Runtong Li:
Enhancing Next-Item Recommendation Through Adaptive User Group Modeling. J. Soc. Comput. 4(2): 112-124 (2023) - [j9]Bohan Jia
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions. ACM Trans. Knowl. Discov. Data 17(8): 111:1-111:22 (2023) - [c14]Xiao Wei, Xiaoxin Wang, Nengjun Zhu:
SNN-BS: A Clinical Terminology Standardization Method Using Siamese Networks with Batch Sampling Strategy. ADMA (2) 2023: 272-287 - [c13]Haiyan Zhao, Ping Zhou, Jian Cao, Nengjun Zhu:
FRS4CPP: A Fair Recommendation Strategy Considering Interests of Users, Providers and Platform. ChineseCSCW (1) 2023: 363-377 - [c12]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: 1-2 - [c11]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: 898-907 - 2022
- [j8]Shaorong Xie
Multi-label disaster text classification via supervised contrastive learning for social media data. Comput. Electr. Eng. 104(Part): 108401 (2022) - [j7]Haihua Shi, Jianjun Qian, Nengjun Zhu
RecNet: A Resource-Constraint Aware Neural Network for Used Car Recommendation. Int. J. Comput. Intell. Syst. 15(1): 91 (2022) - [j6]Yuan Sui
Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs. Knowl. Based Syst. 250: 108943 (2022) - [j5]Nengjun Zhu
Predicting a Person's Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network. ACM Trans. Knowl. Discov. Data 16(6): 116:1-116:23 (2022) - [j4]Nengjun Zhu
Learning a Hierarchical Intent Model for Next-Item Recommendation. ACM Trans. Inf. Syst. 40(2): 38:1-38:28 (2022) - [c10]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: 18-32 - [c9]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: 1174-1184 - 2021
- [j3]Nengjun Zhu, Jian Cao, Xinjiang Lu
Leveraging pointwise prediction with learning to rank for top-N recommendation. World Wide Web 24(1): 375-396 (2021) - [c8]Zhengfei Shen, Jian Cao, Nengjun Zhu, Xiaosong Chen:
A New $k$-Nearest Neighbors Algorithm for Learning from Multiple Experts' Uncertain Decisions. CSCWD 2021: 1015-1020 - 2020
- [j2]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): 29-40 (2020) - [j1]Nengjun Zhu
A Decision Support System with Intelligent Recommendation for Multi-disciplinary Medical Treatment. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 33:1-33:23 (2020) - [c7]Nengjun Zhu, Jian Cao:
Enhancing Cross-domain Recommendation through Preference Structure Information Sharing. ICWS 2020: 524-531 - [c6]Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu
Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. SIGIR 2020: 629-638 - [c5]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: 807-815
2010 – 2019
- 2019
- [c4]Nengjun Zhu, Jian Cao:
CPL: A Combined Framework of Pointwise Prediction and Learning to Rank for top-N Recommendations with Implicit Feedback. WISE 2019: 259-273 - 2018
- [c3]Nengjun Zhu, Jian Cao, Yan Zhang:
An Adaptive k-NN Classifier for Medical Treatment Recommendation Under Concept Drift. ChineseCSCW 2018: 546-556 - 2017
- [c2]Nengjun Zhu, Jian Cao:
GTRM: A Top-N Recommendation Model for Smartphone Applications. ICWS 2017: 309-316 - 2016
- [c1]Jian Cao, Yijing Lu, Nengjun Zhu:
Service Package Recommendation for Mashup Development Based on a Multi-level Relational Network. ICSOC 2016: 666-674
Coauthor Index
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last updated on 2024-12-11 20:44 CET by the dblp team
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