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Jihong Wang
Jihong Wang
Verified email at stu.xjtu.edu.cn
Title
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Year
Scalable attack on graph data by injecting vicious nodes
J Wang, M Luo, F Suya, J Li, Z Yang, Q Zheng
Data Mining and Knowledge Discovery 34, 1363-1389, 2020
962020
Rcagent: Cloud root cause analysis by autonomous agents with tool-augmented large language models
Z Wang, Z Liu, Y Zhang, A Zhong, J Wang, F Yin, L Fan, L Wu, Q Wen
Proceedings of the 33rd ACM International Conference on Information and …, 2024
262024
Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective
J Wang, M Luo, J Li, Y Lin, Y Dong, JS Dong, Q Zheng
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
72023
Toward enhanced robustness in unsupervised graph representation learning: A graph information bottleneck perspective
J Wang, M Luo, J Li, Z Liu, J Zhou, Q Zheng
IEEE Transactions on Knowledge and Data Engineering, 2023
42023
Disentangled representation learning with transmitted information bottleneck
Z Dang, M Luo, C Jia, G Dai, J Wang, X Chang, J Wang
IEEE Transactions on Circuits and Systems for Video Technology, 2024
32024
Disentangled Generation with Information Bottleneck for Enhanced Few-Shot Learning
Z Dang, M Luo, J Wang, C Jia, C Yan, G Dai, X Chang, Q Zheng
IEEE Transactions on Image Processing, 2024
32024
Towards explanation for unsupervised graph-level representation learning
Q Zheng, J Wang, M Luo, Y Yu, J Li, L Yao, X Chang
arXiv preprint arXiv:2205.09934, 2022
32022
Robust unsupervised graph representation learning via mutual information maximization
J Wang, M Luo, J Li, Z Liu, J Zhou, Q Zheng
arXiv preprint arXiv:2201.08557, 2022
22022
Disentangled Counterfactual Graph Augmentation Framework for Fair Graph Learning with Information Bottleneck
L Zheng, J Wang, H Liu, M Luo
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024
2024
Disentangled Noisy Correspondence Learning
Z Dang, M Luo, J Wang, C Jia, H Han, H Wan, G Dai, X Chang, J Wang
arXiv preprint arXiv:2408.05503, 2024
2024
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