| Geosoca: Exploiting geographical, social and categorical correlations for point-of-interest recommendations JD Zhang, CY Chow Proceedings of the 38th international ACM SIGIR conference on research and …, 2015 | 363 | 2015 |
| LORE: Exploiting Sequential Influence for Location Recommendations JD Zhang, CY Chow, Y Li Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances …, 2014 | 321 | 2014 |
| iGSLR: personalized geo-social location recommendation - a kernel density estimation approach JD Zhang, CY Chow Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances …, 2013 | 284 | 2013 |
| iGeoRec: A personalized and efficient geographical location recommendation framework JD Zhang, CY Chow, Y Li IEEE Transactions on Services Computing 8 (5), 701-714, 2015 | 131 | 2015 |
| CoRe: Exploiting the personalized influence of two-dimensional geographic coordinates for location recommendations JD Zhang, CY Chow Information Sciences 293, 163-181, 2015 | 118 | 2015 |
| TICRec: A Probabilistic Framework to Utilize Temporal Influence Correlations for Time-aware Location Recommendations JD Zhang, CY Chow IEEE Transactions on Services Computing 9 (4), 633 - 646, 2016 | 112 | 2016 |
| STCNN: A spatio-temporal convolutional neural network for long-term traffic prediction Z He, CY Chow, JD Zhang 2019 20th IEEE international conference on mobile data management (MDM), 226-233, 2019 | 110 | 2019 |
| Spatiotemporal sequential influence modeling for location recommendations: A gravity-based approach JD Zhang, CY Chow ACM Transactions on Intelligent Systems and Technology (TIST) 7 (1), 1-25, 2015 | 108 | 2015 |
| ORec: An opinion-based point-of-interest recommendation framework JD Zhang, CY Chow, Y Zheng Proceedings of the 24th ACM international on conference on information and …, 2015 | 81 | 2015 |
| DeepMAG: Deep reinforcement learning with multi-agent graphs for flexible job shop scheduling JD Zhang, Z He, WH Chan, CY Chow Knowledge-Based Systems 259, 110083, 2023 | 68 | 2023 |
| STANN: A spatio–temporal attentive neural network for traffic prediction Z He, CY Chow, JD Zhang IEEE Access 7, 4795-4806, 2018 | 68 | 2018 |
| GAME: Learning graphical and attentive multi-view embeddings for occasional group recommendation Z He, CY Chow, JD Zhang Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 67 | 2020 |
| SEML: A semi-supervised multi-task learning framework for aspect-based sentiment analysis N Li, CY Chow, JD Zhang IEEE Access 8, 189287-189297, 2020 | 61 | 2020 |
| Enabling kernel-based attribute-aware matrix factorization for rating prediction JD Zhang, CY Chow, J Xu IEEE Transactions on Knowledge and Data Engineering 29 (4), 798-812, 2016 | 60 | 2016 |
| Aggregating and Sampling Methods for Processing GPS Data Streams for Traffic State Estimation JD Zhang, J Xu, SS Liao IEEE Transactions on Intelligent Transportation Systems 14 (4), 1629-1641, 2013 | 59 | 2013 |
| Differentially private location recommendations in geosocial networks JD Zhang, G Ghinita, CY Chow 2014 IEEE 15th International Conference on Mobile Data Management 1, 59-68, 2014 | 49 | 2014 |
| A novel method for combining Bayesian networks, theoretical analysis, and its applications G Feng, JD Zhang, S Shaoyi Liao Pattern Recognition 47 (5), 2057-2069, 2014 | 43 | 2014 |
| STNN: A spatio-temporal neural network for traffic predictions Z He, CY Chow, JD Zhang IEEE Transactions on Intelligent Transportation Systems 22 (12), 7642-7651, 2020 | 42 | 2020 |
| Point-of-interest recommendations in location-based social networks JD Zhang, CY Chow Sigspatial Special 7 (3), 26-33, 2016 | 42 | 2016 |
| CRATS: An LDA-based model for jointly mining latent communities, regions, activities, topics, and sentiments from geosocial network data JD Zhang, CY Chow IEEE Transactions on Knowledge and Data Engineering 28 (11), 2895-2909, 2016 | 35 | 2016 |
Zhixiang HECity University of Hong Kongmy.cityu.edu.hk üzerinde doğrulanmış e-posta adresine sahip
