| Deep representation learning for trajectory similarity computation X Li, K Zhao, G Cong, CS Jensen, W Wei 2018 IEEE 34th international conference on data engineering (ICDE), 617-628, 2018 | 281 | 2018 |
| ANR: Aspect-based neural recommender JY Chin, K Zhao, S Joty, G Cong Proceedings of the 27th ACM International conference on information and …, 2018 | 195 | 2018 |
| GETNext: trajectory flow map enhanced transformer for next POI recommendation S Yang, J Liu, K Zhao Proceedings of the 45th International ACM SIGIR Conference on research and …, 2022 | 111 | 2022 |
| Online anomalous trajectory detection with deep generative sequence modeling Y Liu, K Zhao, G Cong, Z Bao 2020 IEEE 36th International Conference on Data Engineering (ICDE), 949-960, 2020 | 108 | 2020 |
| Who, where, when, and what: A nonparametric bayesian approach to context-aware recommendation and search for twitter users Q Yuan, G Cong, K Zhao, Z Ma, A Sun ACM Transactions on Information Systems (TOIS) 33 (1), 1-33, 2015 | 99 | 2015 |
| SAR: A sentiment-aspect-region model for user preference analysis in geo-tagged reviews K Zhao, G Cong, Q Yuan, KQ Zhu 2015 IEEE 31st international conference on data engineering, 675-686, 2015 | 93 | 2015 |
| EdgeRec: recommender system on edge in Mobile Taobao Y Gong, Z Jiang, Y Feng, B Hu, K Zhao, Q Liu, W Ou Proceedings of the 29th ACM International Conference on Information …, 2020 | 76 | 2020 |
| DeepGS: Deep representation learning of graphs and sequences for drug-target binding affinity prediction X Lin, K Zhao, T Xiao, Z Quan, ZJ Wang, PS Yu ECAI 2020, 1301-1308, 2020 | 71 | 2020 |
| Topic exploration in spatio-temporal document collections K Zhao, L Chen, G Cong Proceedings of the 2016 International Conference on Management of Data, 985-998, 2016 | 48 | 2016 |
| Lpv: A log parser based on vectorization for offline and online log parsing T Xiao, Z Quan, ZJ Wang, K Zhao, X Liao 2020 IEEE International Conference on Data Mining (ICDM), 1346-1351, 2020 | 38 | 2020 |
| Efficient similar region search with deep metric learning Y Liu, K Zhao, G Cong Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 34 | 2018 |
| Wikification via link co-occurrence Z Cai, K Zhao, KQ Zhu, H Wang Proceedings of the 22nd ACM international conference on Information …, 2013 | 33 | 2013 |
| A novel model for imbalanced data classification J Yin, C Gan, K Zhao, X Lin, Z Quan, ZJ Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6680-6687, 2020 | 30 | 2020 |
| Towards personalized maps: Mining user preferences from geo-textual data K Zhao, Y Liu, Q Yuan, L Chen, Z Chen, G Cong | 25 | 2016 |
| Space meets time: Local spacetime neural network for traffic flow forecasting S Yang, J Liu, K Zhao 2021 IEEE International Conference on Data Mining (ICDM), 817-826, 2021 | 24 | 2021 |
| Annotating points of interest with geo-tagged tweets K Zhao, G Cong, A Sun Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 24 | 2016 |
| Contrastive learning for signed bipartite graphs Z Zhang, J Liu, K Zhao, S Yang, X Zheng, Y Wang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 17 | 2023 |
| Rsgnn: A model-agnostic approach for enhancing the robustness of signed graph neural networks Z Zhang, J Liu, X Zheng, Y Wang, P Han, Y Wang, K Zhao, Z Zhang Proceedings of the ACM Web Conference 2023, 60-70, 2023 | 17 | 2023 |
| Knowledge-enhanced ensemble learning for word embeddings L Fang, Y Luo, K Feng, K Zhao, A Hu The World Wide Web Conference, 427-437, 2019 | 17 | 2019 |
| Unsupervised rumor detection based on propagation tree VAE L Fang, K Feng, K Zhao, A Hu, T Li IEEE Transactions on Knowledge and Data Engineering 35 (10), 10309-10323, 2023 | 13 | 2023 |
Gao CongNanyang Technological UniversityVerified email at ntu.edu.sg
