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Jie Qiao
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Year
Learning disentangled semantic representation for domain adaptation
R Cai, Z Li, P Wei, J Qiao, K Zhang, Z Hao
IJCAI: proceedings of the conference 2019, 2060, 2019
1222019
Causal discovery from discrete data using hidden compact representation
R Cai, J Qiao, K Zhang, Z Zhang, Z Hao
Advances in neural information processing systems 31, 2018
432018
Self: structural equational likelihood framework for causal discovery
R Cai, J Qiao, Z Zhang, Z Hao
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
302018
Causal discovery with cascade nonlinear additive noise models
R Cai, J Qiao, K Zhang, Z Zhang, Z Hao
arXiv preprint arXiv:1905.09442, 2019
252019
THPs: Topological hawkes processes for learning causal structure on event sequences
R Cai, S Wu, J Qiao, Z Hao, K Zhang, X Zhang
IEEE Transactions on Neural Networks and Learning Systems, 2022
132022
FOM: Fourth-order moment based causal direction identification on the heteroscedastic data
R Cai, J Ye, J Qiao, H Fu, Z Hao
Neural Networks 124, 193-201, 2020
132020
Identification of linear latent variable model with arbitrary distribution
Z Chen, F Xie, J Qiao, Z Hao, K Zhang, R Cai
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6350-6357, 2022
102022
Thp: Topological hawkes processes for learning granger causality on event sequences
R Cai, S Wu, J Qiao, Z Hao, K Zhang, X Zhang
arXiv preprint arXiv:2105.10884, 2021
62021
On the Role of Entropy-Based Loss for Learning Causal Structure With Continuous Optimization
W Chen, J Qiao, R Cai, Z Hao
IEEE Transactions on Neural Networks and Learning Systems, 2023
42023
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach
R Cai, Y Zhu, X Chen, Y Fang, M Wu, J Qiao, Z Hao
arXiv preprint arXiv:2212.07056, 2022
42022
Causal discovery with confounding cascade nonlinear additive noise models
J Qiao, R Cai, K Zhang, Z Zhang, Z Hao
ACM Transactions on Intelligent Systems and Technology (TIST) 12 (6), 1-28, 2021
42021
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences
J Qiao, R Cai, S Wu, Y Xiang, K Zhang, Z Hao
arXiv preprint arXiv:2305.05986, 2023
22023
Learning causal structures using hidden compact representation
J Qiao, Y Bai, R Cai, Z Hao
Neurocomputing 463, 328-333, 2021
22021
Some general identification results for linear latent hierarchical causal structure
Z Chen, F Xie, J Qiao, Z Hao, R Cai
Proceedings of the Thirty-Second International Joint Conference on …, 2023
12023
Causal discovery from multi-domain data using the independence of modularities
J Qiao, Y Bai, R Cai, Z Hao
Neural Computing and Applications, 1-11, 2022
12022
Causal inference method based on confounder hidden compact representation model
R CAI, Y BAI, J QIAO, Z HAO
Journal of Computer Applications 41 (10), 2793, 2021
12021
Disentanglement Challenge: From Regularization to Reconstruction
J Qiao, Z Li, B Xu, R Cai, K Zhang
arXiv preprint arXiv:1912.00155, 2019
12019
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy
R Cai, S Huang, J Qiao, W Chen, Y Zeng, K Zhang, F Sun, Y Yu, Z Hao
arXiv preprint arXiv:2402.04869, 2024
2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
R Cai, Y Zhu, J Qiao, Z Liang, F Liu, Z Hao
arXiv preprint arXiv:2312.13628, 2023
2023
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model
J Qiao, Z Chen, J Yu, R Cai, Z Hao
arXiv preprint arXiv:2312.12206, 2023
2023
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