受强制性开放获取政策约束的文章 - Junbo Zhang（张钧波）了解详情
无法在其他位置公开访问的文章：17 篇
Flow prediction in spatio-temporal networks based on multitask deep learning
J Zhang, Y Zheng, J Sun, D Qi
IEEE Transactions on Knowledge and Data Engineering 32 (3), 468-478, 2019
强制性开放获取政策： 国家自然科学基金委员会
Multi-source information fusion based on rough set theory: A review
P Zhang, T Li, G Wang, C Luo, H Chen, J Zhang, D Wang, Z Yu
Information Fusion 68, 85-117, 2021
强制性开放获取政策： 国家自然科学基金委员会
A fuzzy rough set approach for incremental feature selection on hybrid information systems
A Zeng, T Li, D Liu, J Zhang, H Chen
Fuzzy Sets and Systems 258, 39-60, 2015
强制性开放获取政策： 国家自然科学基金委员会
A parallel matrix-based method for computing approximations in incomplete information systems
J Zhang, JS Wong, Y Pan, T Li
IEEE Transactions on Knowledge and Data Engineering 27 (2), 326-339, 2014
强制性开放获取政策： 国家自然科学基金委员会
Incremental updating approximations in probabilistic rough sets under the variation of attributes
D Liu, T Li, J Zhang
Knowledge-Based Systems 73, 81-96, 2015
强制性开放获取政策： 国家自然科学基金委员会
Efficient parallel boolean matrix based algorithms for computing composite rough set approximations
J Zhang, Y Zhu, Y Pan, T Li
Information Sciences 329, 287-302, 2016
强制性开放获取政策： 国家自然科学基金委员会
Parallel computing of approximations in dominance-based rough sets approach
S Li, T Li, Z Zhang, H Chen, J Zhang
Knowledge-Based Systems 87, 102-111, 2015
强制性开放获取政策： 国家自然科学基金委员会
Urban flow pattern mining based on multi-source heterogeneous data fusion and knowledge graph embedding
J Liu, T Li, S Ji, P Xie, S Du, F Teng, J Zhang
IEEE Transactions on Knowledge and Data Engineering 35 (2), 2133-2146, 2021
强制性开放获取政策： 国家自然科学基金委员会
Trajmesa: A distributed nosql-based trajectory data management system
R Li, H He, R Wang, S Ruan, T He, J Bao, J Zhang, L Hong, Y Zheng
IEEE Transactions on Knowledge and Data Engineering 35 (1), 1013-1027, 2021
强制性开放获取政策： 国家自然科学基金委员会
Cross-domain knowledge graph chiasmal embedding for multi-domain item-item recommendation
J Liu, W Huang, T Li, S Ji, J Zhang
IEEE Transactions on Knowledge and Data Engineering 35 (5), 4621-4633, 2022
强制性开放获取政策： 国家自然科学基金委员会
Fine-grained urban flow inference with incomplete data
J Li, S Wang, J Zhang, H Miao, J Zhang, SY Philip
IEEE Transactions on Knowledge and Data Engineering 35 (6), 5851-5864, 2022
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
Diffuflow: Robust fine-grained urban flow inference with denoising diffusion model
Y Zheng, L Zhong, S Wang, Y Yang, W Gu, J Zhang, J Wang
Proceedings of the 32nd ACM International Conference on Information and …, 2023
强制性开放获取政策： 国家自然科学基金委员会
Gas-theft suspect detection among boiler room users: A data-driven approach
X Yi, X Yang, Y Huang, S Ke, J Zhang, T Li, Y Zheng
IEEE Transactions on Knowledge and Data Engineering 34 (12), 5796-5808, 2021
强制性开放获取政策： 国家自然科学基金委员会
Shortening passengers’ travel time: A dynamic metro train scheduling approach using deep reinforcement learning
Z Wang, Z Pan, S Chen, S Ji, X Yi, J Zhang, J Wang, Z Gong, T Li, ...
IEEE Transactions on Knowledge and Data Engineering 35 (5), 5282-5295, 2022
强制性开放获取政策： 国家自然科学基金委员会
Daily Schedule Recommendation in Urban Life Based on Deep Reinforcement Learning
J Liu, D Zhai, W Huang, S Ji, J Zhang, T Li
IEEE Transactions on Neural Networks and Learning Systems, 2024
强制性开放获取政策： 国家自然科学基金委员会
Federated Digital Gateway: Methodologies, Tools, and Applications
Y Liu, R Wang, S Du, J Zhang, Y Zheng
IEEE Intelligent Systems 36 (5), 31-38, 2020
强制性开放获取政策： 国家自然科学基金委员会
Housing rental suggestion based on e-commerce data
Z Wang, S Chen, S Ji, Z Pan, C Meng, J Zhang, T Li, Y Zheng
Knowledge-Based Systems 268, 110474, 2023
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：41 篇
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
J Zhang, Y Zheng, D Qi
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017
强制性开放获取政策： 国家自然科学基金委员会
DNN-based prediction model for spatio-temporal data
J Zhang, Y Zheng, D Qi, R Li, X Yi
Proceedings of the 24th ACM SIGSPATIAL international conference on advances …, 2016
强制性开放获取政策： 国家自然科学基金委员会
Urban traffic prediction from spatio-temporal data using deep meta learning
Z Pan, Y Liang, W Wang, Y Yu, Y Zheng, J Zhang
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
强制性开放获取政策： 国家自然科学基金委员会
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