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 | 44 | 2018 |
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 | 30 | 2019 |
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 | 26 | 2020 |
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 | 16 | 2023 |
Snoc: streaming network node classification T Guo, X Zhu, J Pei, C Zhang 2014 IEEE International Conference on Data Mining, 150-159, 2014 | 15 | 2014 |
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 | 13 | 2018 |
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 | 13 | 2016 |
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 | 12 | 2013 |
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 | 11 | 2023 |
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 | 11 | 2017 |
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 | 7 | 2021 |
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 | 7 | 2018 |
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 | 6 | 2021 |
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 | 6 | 2019 |
Infinite hidden semi-markov modulated interaction point process P Lin, T Guo, Y Wang, F Chen Advances in Neural Information Processing Systems 29, 2016 | 6 | 2016 |
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 | 4 | 2015 |
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 | 4 | 2013 |
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 | 3 | 2020 |
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 | 3 | 2017 |
Self-Adaptive Predictive Passenger Flow Modeling for Large-Scale Railway Systems B Li, T Guo, R Li, Y Wang, AH Gandomi, F Chen IEEE Internet of Things Journal 10 (16), 14182-14196, 2023 | 2 | 2023 |