Spatio-Temporal Dual Graph Attention Network for Query-Poi Matching Z Yuan, H Liu, Y Liu, D Zhang, F Yi, N Zhu, H Xiong Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 48 | 2020 |
Sequential modeling of hierarchical user intention and preference for next-item recommendation N Zhu, J Cao, Y Liu, Y Yang, H Ying, H Xiong Proceedings of the 13th international conference on web search and data …, 2020 | 39 | 2020 |
Multi-label disaster text classification via supervised contrastive learning for social media data S Xie, C Hou, H Yu, Z Zhang, X Luo, N Zhu Computers and Electrical Engineering 104, 108401, 2022 | 18 | 2022 |
A decision support system with intelligent recommendation for multi-disciplinary medical treatment N Zhu, J Cao, K Shen, X Chen, S Zhu ACM Transactions on Multimedia Computing, Communications, and Applications …, 2020 | 16 | 2020 |
Learning a Hierarchical Intent Model for Next-Item Recommendation N Zhu, J Cao, X Lu, H Xiong ACM Transactions on Information Systems (TOIS), 2021 | 14 | 2021 |
Service Package Recommendation for Mashup Development based on a Multi-Level Relational Network J Cao, Y Lu, N Zhu International Conference on Service-Oriented Computing, 666-674, 2016 | 14 | 2016 |
Causality-aware enhanced model for multi-hop question answering over knowledge graphs Y Sui, S Feng, H Zhang, J Cao, L Hu, N Zhu Knowledge-Based Systems 250, 108943, 2022 | 10 | 2022 |
Leveraging pointwise prediction with learning to rank for top-N recommendation N Zhu, J Cao, X Lu, Q Gu World Wide Web 24, 375-396, 2021 | 10 | 2021 |
Gtrm: A Top-n Recommendation Model for Smartphone Applications N Zhu, J Cao 2017 IEEE International Conference on Web Services (ICWS), 309-316, 2017 | 8 | 2017 |
A Semi-Supervised Attention Model for Identifying Authentic Sneakers Y Yang, N Zhu, Y Wu, J Cao, D Zhan, H Xiong Big Data Mining and Analytics 3 (1), 29-40, 2019 | 6 | 2019 |
CPL: A Combined Framework of Pointwise Prediction and Learning to Rank for Top-N Recommendations with Implicit Feedback N Zhu, J Cao International Conference on Web Information Systems Engineering, 259-273, 2020 | 4 | 2020 |
Predicting a person’s next activity region with a dynamic region-relation-aware graph neural network N Zhu, J Cao, X Lu, C Liu, H Liu, Y Li, X Luo, H Xiong ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (6), 1-23, 2022 | 3 | 2022 |
MANSOR: a module alignment method based on neighbor information for scientific workflow Y Gu, J Cao, S Qian, N Zhu, W Guan Concurrency and Computation: Practice and Experience 36 (10), e7736, 2024 | 2 | 2024 |
RecNet: A Resource-Constraint Aware Neural Network for Used Car Recommendation H Shi, J Qian, N Zhu, T Zhang, Z Cui, Q Wu, S Feng International Journal of Computational Intelligence Systems 15 (1), 91, 2022 | 2 | 2022 |
Captor: A crowd-aware pre-travel recommender system for out-of-town users H Xin, X Lu, N Zhu, T Xu, D Dou, H Xiong Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 2 | 2022 |
Enhancing cross-domain recommendation through preference structure information sharing N Zhu, J Cao 2020 IEEE International Conference on Web Services (ICWS), 524-531, 2020 | 2 | 2020 |
Learning User Embeddings Based on Long Short-Term User Group Modeling for Next-Item Recommendation N Zhu, J Huang, J Cao, S Feng CCF Conference on Computer Supported Cooperative Work and Social Computing …, 2022 | 1 | 2022 |
An Adaptive k-NN Classifier for Medical Treatment Recommendation Under Concept Drift N Zhu, J Cao, Y Zhang Computer Supported Cooperative Work and Social Computing: 13th CCF …, 2019 | 1 | 2019 |
Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents H Wang, T Li, C Chu, N Zhu, R Wang, P Zhu arXiv preprint arXiv:2403.15765, 2024 | | 2024 |
Event causality extraction through external event knowledge learning and polyhedral word embedding X Wei, C Huang, N Zhu Machine Learning, 1-20, 2024 | | 2024 |