Kaiqi Zhao
Kaiqi Zhao
Verifierad e-postadress på auckland.ac.nz - Startsida
Citeras av
Citeras av
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
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
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
ANR: Aspect-based neural recommender
JY Chin, K Zhao, S Joty, G Cong
Proceedings of the 27th ACM International Conference on Information and …, 2018
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
Wikification via link co-occurrence
Z Cai, K Zhao, KQ Zhu, H Wang
Proceedings of the 22nd ACM international conference on Information …, 2013
Towards personalized maps: mining user preferences from geo-textual data
K Zhao, Y Liu, Q Yuan, L Chen, Z Chen, G Cong
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
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
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
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
Representing verbs as argument concepts
Y Gong, K Zhao, KQ Zhu
arXiv preprint arXiv:1803.00729, 2018
Querying and mining geo-textual data for exploration: Challenges and opportunities
G Cong, K Feng, K Zhao
2016 IEEE 32nd International Conference on Data Engineering Workshops (ICDEW …, 2016
Clustering image search results by entity disambiguation
K Zhao, Z Cai, Q Sui, E Wei, KQ Zhu
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
A system for region search and exploration
K Feng, K Zhao, Y Liu, G Cong
Exploring market competition over topics in spatio-temporal document collections
K Zhao, G Cong, JY Chin, R Wen
The VLDB Journal 28 (1), 123-145, 2019
Biclustering: An application of dual topic models
D Rugeles, K Zhao, C Gao, M Dash, S Krishnaswamy
Proceedings of the 2017 SIAM International Conference on Data Mining, 453-461, 2017
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
PGeoTopic: A Distributed Solution for Mining Geographical Topic Models
K Zhao, G Cong, X Li
IEEE Transactions on Knowledge and Data Engineering, 2020
Effective and efficient topic mining and exploration from geo-textual data
K Zhao
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Artiklar 1–20