Jia-Dong Zhang
Orcid: 0000-0001-6378-5894
According to our database1,
Jia-Dong Zhang
authored at least 40 papers
between 2013 and 2024.
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Bibliography
2024
iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examples.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
2023
H3Rec: Higher-Order Heterogeneous and Homogeneous Interaction Modeling for Group Recommendations of Web Services.
IEEE Trans. Serv. Comput., 2023
DeepMAG: Deep reinforcement learning with multi-agent graphs for flexible job shop scheduling.
Knowl. Based Syst., 2023
The Limits of ChatGPT in Extracting Aspect-Category-Opinion-Sentiment Quadruples: A Comparative Analysis.
CoRR, 2023
Pairwise and Hyper-correlations Based Spatiotemporal Neural Networks for Traffic Speed Predictions.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023
2021
IEEE Trans. Serv. Comput., 2021
IEEE Trans. Intell. Transp. Syst., 2021
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021
2020
SEML: A Semi-Supervised Multi-Task Learning Framework for Aspect-Based Sentiment Analysis.
IEEE Access, 2020
GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
EMOVA: A Semi-supervised End-to-End Moving-Window Attentive Framework for Aspect Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
FGRec: A Fine-Grained Point-of-Interest Recommendation Framework by Capturing Intrinsic Influences.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
GAMIT: A New Encoder-Decoder Framework with Graphical Space and Multi-grained Time for Traffic Predictions.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
IEEE Access, 2019
IEEE Access, 2019
STCNN: A Spatio-Temporal Convolutional Neural Network for Long-Term Traffic Prediction.
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
A Comparative Analysis of Journey Time from Google Maps and Intelligent Transport System in Hong Kong.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
GRADI: Towards Group Recommendation Using Attentive Dual Top-Down and Bottom-Up Influences.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
IEEE Access, 2018
SoCaST*: Personalized Event Recommendations for Event-Based Social Networks: A Multi-Criteria Decision Making Approach.
IEEE Access, 2018
2017
Exploiting Sequential Influence for Personalized Location-Based Recommendation Systems.
Proceedings of the Encyclopedia of GIS., 2017
IEEE Trans. Knowl. Data Eng., 2017
Proceedings of the 2017 IEEE International Conference on Smart Computing, 2017
SoCaST: Exploiting Social, Categorical and Spatio-Temporal Preferences for Personalized Event Recommendations.
Proceedings of the 14th International Symposium on Pervasive Systems, 2017
2016
TICRec: A Probabilistic Framework to Utilize Temporal Influence Correlations for Time-Aware Location Recommendations.
IEEE Trans. Serv. Comput., 2016
CRATS: An LDA-Based Model for Jointly Mining Latent Communities, Regions, Activities, Topics, and Sentiments from Geosocial Network Data.
IEEE Trans. Knowl. Data Eng., 2016
2015
iGeoRec: A Personalized and Efficient Geographical Location Recommendation Framework.
IEEE Trans. Serv. Comput., 2015
Spatiotemporal Sequential Influence Modeling for Location Recommendations: A Gravity-based Approach.
ACM Trans. Intell. Syst. Technol., 2015
IEEE Trans. Dependable Secur. Comput., 2015
ACM SIGSPATIAL Special, 2015
CoRe: Exploiting the personalized influence of two-dimensional geographic coordinates for location recommendations.
Inf. Sci., 2015
GeoSoCa: Exploiting Geographical, Social and Categorical Correlations for Point-of-Interest Recommendations.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014
2013
iGSLR: personalized geo-social location recommendation: a kernel density estimation approach.
Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013
Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013