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Tianxiang Zhao
Tianxiang Zhao
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Title
Cited by
Cited by
Year
Graphsmote: Imbalanced node classification on graphs with graph neural networks
T Zhao, X Zhang, S Wang
Proceedings of the 14th ACM international conference on web search and data …, 2021
2682021
A comprehensive survey on trustworthy graph neural networks: Privacy, robustness, fairness, and explainability
E Dai, T Zhao, H Zhu, J Xu, Z Guo, H Liu, J Tang, S Wang
arXiv preprint arXiv:2204.08570, 2022
1092022
Towards fair classifiers without sensitive attributes: Exploring biases in related features
T Zhao, E Dai, K Shu, S Wang
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
512022
Times series forecasting for urban building energy consumption based on graph convolutional network
Y Hu, X Cheng, S Wang, J Chen, T Zhao, E Dai
Applied Energy 307, 118231, 2022
492022
Exploring edge disentanglement for node classification
T Zhao, X Zhang, S Wang
Proceedings of the ACM Web Conference 2022, 1028-1036, 2022
282022
Semi-supervised graph-to-graph translation
T Zhao, X Tang, X Zhang, S Wang
Proceedings of the 29th ACM International Conference on Information …, 2020
252020
Explanation guided contrastive learning for sequential recommendation
L Wang, EP Lim, Z Liu, T Zhao
Proceedings of the 31st ACM International Conference on Information …, 2022
242022
Balancing quality and human involvement: An effective approach to interactive neural machine translation
T Zhao, L Liu, G Huang, H Li, Y Liu, L GuiQuan, S Shi
Proceedings of the AAAI conference on artificial intelligence 34 (05), 9660-9667, 2020
212020
You can still achieve fairness without sensitive attributes: Exploring biases in non-sensitive features
T Zhao, E Dai, K Shu, S Wang
arXiv preprint arXiv:2104.14537, 2021
192021
Towards faithful and consistent explanations for graph neural networks
T Zhao, D Luo, X Zhang, S Wang
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
162023
Tracking and forecasting dynamics in crowdfunding: A basis-synthesis approach
X Ren, L Xu, T Zhao, C Zhu, J Guo, E Chen
2018 IEEE International Conference on Data Mining (ICDM), 1212-1217, 2018
142018
Topoimb: Toward topology-level imbalance in learning from graphs
T Zhao, D Luo, X Zhang, S Wang
Learning on Graphs Conference, 37: 1-37: 18, 2022
102022
Skill disentanglement for imitation learning from suboptimal demonstrations
T Zhao, W Yu, S Wang, L Wang, X Zhang, Y Chen, Y Liu, W Cheng, ...
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
72023
On consistency in graph neural network interpretation
T Zhao, D Luo, X Zhang, S Wang
arXiv preprint arXiv:2205.13733 9, 2022
72022
Zero-shot learning: An energy based approach
T Zhao, G Liu, C Ma, E Chen
2018 IEEE International Conference on Data Mining (ICDM), 797-806, 2018
62018
Synthetic over-sampling for imbalanced node classification with graph neural networks
T Zhao, X Zhang, S Wang
arXiv preprint arXiv:2206.05335, 2022
52022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy
E Dai, T Zhao, H Zhu, J Xu, Z Guo, H Liu, J Tang, S Wang
Robustness, Fairness, and Explainability. arXiv 2204, 2022
52022
Faithful and consistent graph neural network explanations with rationale alignment
T Zhao, D Luo, X Zhang, S Wang
ACM Transactions on Intelligent Systems and Technology 14 (5), 1-23, 2023
42023
Fair and effective policing for neighborhood safety: understanding and overcoming selection biases
W Ren, K Liu, T Zhao, Y Fu
Frontiers in big data 4, 787459, 2021
32021
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data
W Ren, T Zhao, W Qin, K Liu
Proceedings of the 32nd ACM International Conference on Information and …, 2023
22023
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Articles 1–20