עקוב אחר
Ting Guo (Andy)
Ting Guo (Andy)
Senior Research Fellow, Data Science Institute, University of Technology, Sydney
כתובת אימייל מאומתת בדומיין uts.edu.au
כותרת
צוטט על ידי
צוטט על ידי
שנה
CFOND: Consensus factorization for co-clustering networked data
T Guo, S Pan, X Zhu, C Zhang
IEEE Transactions on Knowledge and Data Engineering 31 (4), 706-719, 2018
422018
Discriminative Sample Generation for Deep Imbalanced Learning
Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
292019
Clustering social audiences in business information networks
Y Zheng, R Hu, S Fung, C Yu, G Long, T Guo, S Pan
Pattern Recognition 100, 107126, 2020
222020
Snoc: streaming network node classification
T Guo, X Zhu, J Pei, C Zhang
2014 IEEE International Conference on Data Mining, 150-159, 2014
152014
Simultaneous urban region function discovery and popularity estimation via an infinite urbanization process model
B Zhang, L Zhang, T Guo, Y Wang, F Chen
Proceedings of the 24th ACM SIGKDD International conference on knowledge …, 2018
132018
Interaction point processes via infinite branching model
P Lin, B Zhang, T Guo, Y Wang, F Chen
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
132016
Understanding the roles of sub-graph features for graph classification: an empirical study perspective
T Guo, X Zhu
Proceedings of the 22nd ACM international conference on Information …, 2013
132013
SGCCL: siamese graph contrastive consensus learning for personalized recommendation
B Li, T Guo, X Zhu, Q Li, Y Wang, F Chen
Proceedings of the sixteenth ACM international conference on web search and …, 2023
112023
Combining structured node content and topology information for networked graph clustering
T Guo, J Wu, X Zhu, C Zhang
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (3), 1-29, 2017
102017
Spatio-temporal contrastive learning enhanced gnns for session-based recommendation
Z Wan, X Liu, B Wang, J Qiu, B Li, T Guo, G Chen, Y Wang
ACM Transactions on Information Systems, 2023
72023
Delay Propagation in Large Railway Networks with Data-Driven Bayesian Modeling
B Li, T Guo, R Li, Y Wang, Y Ou, F Chen
Transportation Research Record, 2021
62021
Water pipe failure prediction: A machine learning approach enhanced by domain knowledge
B Zhang, T Guo, L Zhang, P Lin, Y Wang, J Zhou, F Chen
Human and Machine Learning: Visible, Explainable, Trustworthy and …, 2018
62018
Infinite hidden semi-markov modulated interaction point process
P Lin, T Guo, Y Wang, F Chen
Advances in Neural Information Processing Systems 29, 2016
62016
A conditional Bayesian delay propagation model for large-scale railway traffic networks
Y Zhang, R Li, T Guo, Z Li, Y Wang, F Chen
Australasian Transport Research Forum, ATRF 2019-Proceedings, 2019
52019
Adaptive graph co-attention networks for traffic forecasting
B Li, T Guo, Y Wang, AH Gandomi, F Chen
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 263-276, 2021
42021
Reverse twin plant for efficient diagnosability testing and optimizing
B Li, T Guo, X Zhu, Z Li
Engineering Applications of Artificial Intelligence 38, 131-137, 2015
42015
Graph hashing and factorization for fast graph stream classification
T Guo, L Chi, X Zhu
Proceedings of the 22nd ACM international conference on Information …, 2013
42013
Linking complex urban systems: Insights from cross-domain urban data analysis
L Zhang, B Zhang, T Guo, F Chen, P Runcie, B Cameron, R Rooney
Open Cities| Open Data: Collaborative Cities in the Information Era, 221-239, 2020
32020
Geometric object 3d reconstruction from single line drawing image with bottom-up and top-down classification and sketch generation
T Guo, Y Wang, Y Zhou, Z He, Z Tang
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
32017
A two-stage self-adaptive model for passenger flow prediction on schedule-based railway system
B Li, T Guo, R Li, Y Wang, AH Gandomi, F Chen
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 147-160, 2022
22022
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מאמרים 1–20