Jia-Dong Zhang

Orcid: 0000-0001-6378-5894

According to our database1, Jia-Dong Zhang authored at least 40 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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
Enabling Probabilistic Differential Privacy Protection for Location Recommendations.
IEEE Trans. Serv. Comput., 2021

STNN: A Spatio-Temporal Neural Network for Traffic Predictions.
IEEE Trans. Intell. Transp. Syst., 2021

Fish Image Instance Segmentation: An Enhanced Hybrid Task Cascade Approach.
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
MOCA: Multi-Objective, Collaborative, and Attentive Sentiment Analysis.
IEEE Access, 2019

SEMAX: Multi-Task Learning for Improving Recommendations.
IEEE Access, 2019

STANN: A Spatio-Temporal Attentive Neural Network for Traffic Prediction.
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

Seeded-BTM: Enabling Biterm Topic Model with Seeds for Product Aspect Mining.
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
SEMA: Deeply Learning Semantic Meanings and Temporal Dynamics for Recommendations.
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

Enabling Kernel-Based Attribute-Aware Matrix Factorization for Rating Prediction.
IEEE Trans. Knowl. Data Eng., 2017

EventRec: Personalized Event Recommendations for Smart Event-Based Social Networks.
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

REAL: A Reciprocal Protocol for Location Privacy in Wireless Sensor Networks.
IEEE Trans. Dependable Secur. Comput., 2015

Point-of-interest recommendations in location-based social networks.
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

ORec: An Opinion-Based Point-of-Interest Recommendation Framework.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Sampling Big Trajectory Data.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Differentially Private Location Recommendations in Geosocial Networks.
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

LORE: exploiting sequential influence for location recommendations.
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

CALBA: capacity-aware location-based advertising in temporary social networks.
Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013


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