Yue He
Yue He
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Towards out-of-distribution generalization: A survey
J Liu, Z Shen, Y He, X Zhang, R Xu, H Yu, P Cui
arXiv preprint arXiv:2108.13624, 2021
Deep stable learning for out-of-distribution generalization
X Zhang, P Cui, R Xu, L Zhou, Y He, Z Shen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Towards non-iid image classification: A dataset and baselines
Y He, Z Shen, P Cui
Pattern Recognition 110, 107383, 2021
Nico++: Towards better benchmarking for domain generalization
X Zhang, Y He, R Xu, H Yu, Z Shen, P Cui
arXiv preprint arXiv:2204.08040, 2022
Counterfactual prediction for bundle treatment
H Zou, P Cui, B Li, Z Shen, J Ma, H Yang, Y He
Advances in Neural Information Processing Systems 33, 19705-19715, 2020
Causpref: Causal preference learning for out-of-distribution recommendation
Y He, Z Wang, P Cui, H Zou, Y Zhang, Q Cui, Y Jiang
Proceedings of the ACM Web Conference 2022, 410-421, 2022
Invariant preference learning for general debiasing in recommendation
Z Wang, Y He, J Liu, W Zou, PS Yu, P Cui
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Daring: Differentiable causal discovery with residual independence
Y He, P Cui, Z Shen, R Xu, F Liu, Y Jiang
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
Progressive Generative Hashing for Image Retrieval.
Y Ma, Y He, F Ding, S Hu, J Li, X Liu
IJCAI, 871-877, 2018
Learning stable graphs from multiple environments with selection bias
Y He, P Cui, J Ma, H Zou, X Wang, H Yang, PS Yu
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Stable learning via sparse variable independence
H Yu, P Cui, Y He, Z Shen, Y Lin, R Xu, X Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10998 …, 2023
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters
M Zhang, J Yuan, Y He, W Li, Z Chen, K Kuang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Nico challenge: Out-of-distribution generalization for image recognition challenges
X Zhang, Y He, T Wang, J Qi, H Yu, Z Wang, J Peng, R Xu, Z Shen, Y Niu, ...
European Conference on Computer Vision, 433-450, 2022
Purify and generate: Learning faithful item-to-item graph from noisy user-item interaction behaviors
Y He, Y Dong, P Cui, Y Jiao, X Wang, J Liu, PS Yu
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Covariate-shift generalization via random sample weighting
Y He, X Shen, R Xu, T Zhang, Y Jiang, W Zou, P Cui
Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 11828 …, 2023
Rethinking the Evaluation Protocol of Domain Generalization
H Yu, X Zhang, R Xu, J Liu, Y He, P Cui
arXiv preprint arXiv:2305.15253, 2023
Exploring and Exploiting Data Heterogeneity in Recommendation
Z Wang, J Liu, H Zou, X Zhang, Y He, D Liang, P Cui
arXiv preprint arXiv:2305.15431, 2023
Distilling Causal Metaknowledge from Knowledge Graphs.
Y Meng, Y Dong, S Liu, C Yuan, Y He, J Pei, P Cui
IEEE Data Eng. Bull. 45 (4), 102-121, 2022
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