Junbo Zhang
Orcid: 0000-0001-5947-1374Affiliations:
- JD.com
According to our database1,
Junbo Zhang
authored at least 122 papers
between 2010 and 2025.
Collaborative distances:
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Bibliography
2025
GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values.
CoRR, August, 2025
Burst-Sensitive Traffic Forecast via Multi-Property Personalized Fusion in Federated Learning.
IEEE Trans. Mob. Comput., July, 2025
IEEE Trans. Neural Networks Learn. Syst., February, 2025
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data.
CoRR, February, 2025
Enhancing cross-city spatio-temporal prediction via dynamic multi-scale hypergraph learning with domain adversarial training.
Knowl. Based Syst., 2025
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook.
Inf. Fusion, 2025
Inf. Fusion, 2025
Enhancing few-sample spatio-temporal prediction via relational fusion-based hypergraph neural network.
Inf. Fusion, 2025
Adversarial Transfer Learning-Based Hybrid Recurrent Network for Air Quality Prediction.
Int. J. Intell. Syst., 2025
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
IEEE Trans. Knowl. Data Eng., December, 2024
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.
IEEE Trans. Knowl. Data Eng., October, 2024
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation.
ACM Trans. Intell. Syst. Technol., April, 2024
IEEE Trans. Knowl. Data Eng., 2024
Knowl. Based Syst., 2024
CoRR, 2024
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook.
CoRR, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24).
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
Inf. Sci., November, 2023
IEEE Trans. Knowl. Data Eng., October, 2023
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting.
IEEE Trans. Knowl. Data Eng., September, 2023
Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision.
IEEE Trans. Knowl. Data Eng., August, 2023
IEEE Trans. Knowl. Data Eng., June, 2023
Shortening Passengers' Travel Time: A Dynamic Metro Train Scheduling Approach Using Deep Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., May, 2023
Cross-Domain Knowledge Graph Chiasmal Embedding for Multi-Domain Item-Item Recommendation.
IEEE Trans. Knowl. Data Eng., May, 2023
AutoSTG<sup>+</sup>: An automatic framework to discover the optimal network for spatio-temporal graph prediction.
Artif. Intell., May, 2023
Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding.
IEEE Trans. Knowl. Data Eng., 2023
IEEE Trans. Knowl. Data Eng., 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.
CoRR, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng., 2022
IEEE Trans. Knowl. Data Eng., 2022
ACM Trans. Intell. Syst. Technol., 2022
IEEE Trans. Big Data, 2022
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling.
CoRR, 2022
Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Proceedings of the Database Systems for Advanced Applications, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
ACM Trans. Intell. Syst. Technol., 2021
Inf. Fusion, 2021
IEEE Intell. Syst., 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Knowl. Data Eng., 2020
Inf. Fusion, 2020
Inf. Fusion, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
CoRR, 2019
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks.
CoRR, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Artif. Intell., 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Efficient parallel boolean matrix based algorithms for computing composite rough set approximations.
Inf. Sci., 2016
Incremental updating of rough approximations in interval-valued information systems under attribute generalization.
Inf. Sci., 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016
2015
A Parallel Matrix-Based Method for Computing Approximations in Incomplete Information Systems.
IEEE Trans. Knowl. Data Eng., 2015
Incremental updating approximations in probabilistic rough sets under the variation of attributes.
Knowl. Based Syst., 2015
Knowl. Based Syst., 2015
不同MapReduce运行系统的性能测试与分析 (Performance Testing and Analysis among Different MapReduce Runtime Systems).
计算机科学, 2015
A fuzzy rough set approach for incremental feature selection on hybrid information systems.
Fuzzy Sets Syst., 2015
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015
2014
A comparison of parallel large-scale knowledge acquisition using rough set theory on different MapReduce runtime systems.
Int. J. Approx. Reason., 2014
A rough set-based incremental approach for learning knowledge in dynamic incomplete information systems.
Int. J. Approx. Reason., 2014
Incremental Maintenance of Rough Fuzzy Set Approximations under the Variation of Object Set.
Fundam. Informaticae, 2014
2013
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013
A Fuzzy Rough Set Approach for Incrementally Updating Approximations in Hybrid Information Systems.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013
Proceedings of the International Conference on Parallel and Distributed Computing, 2013
Proceedings of the International Symposium on Biometrics and Security Technologies, 2013
An incremental approach for updating approximations of rough fuzzy set under the variation of attribute values.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013
2012
Proceedings of the Autonomous Systems: Developments and Trends, 2012
Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems.
Int. J. Approx. Reason., 2012
An Incremental Approach for Updating Approximations of Rough Fuzzy Sets under the Variation of the Object Set.
Proceedings of the Rough Sets and Current Trends in Computing, 2012
Proceedings of the 1st International Workshop on Big Data, 2012
Proceedings of the Artificial Intelligence and Computational Intelligence, 2012
2011
Incremental learning optimization on knowledge discovery in dynamic business intelligent systems.
J. Glob. Optim., 2011
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011
2010
A new method for calculation of the approximations under the probabilistic rough sets.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010
An approach for incremental updating approximations in Variable precision rough sets while attribute generalized.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010
Approaches for dynamically updating set approximations in dominance based rough sets while condition attributes value coarsening and refining.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010
A Method for Incremental Updating Approximations Based on Variable Precision Set-Valued Ordered Information Systems.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010
A Method for Incremental Updating Approximations when Objects and Attributes Vary with Time.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010