Yue He

According to our database, Yue He authored at least 18 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Exploring and Exploiting Data Heterogeneity in Recommendation.

Zimu Wang, Jiashuo Liu, Hao Zou, Xingxuan Zhang, Yue He, Dongxu Liang, Peng Cui

CoRR, 2023

Rethinking the Evaluation Protocol of Domain Generalization.

Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui

CoRR, 2023

NICO++: Towards Better Benchmarking for Domain Generalization.

Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Stable Learning via Sparse Variable Independence.

Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Covariate-Shift Generalization via Random Sample Weighting.

Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Distilling Causal Metaknowledge from Knowledge Graphs.

Yuan Meng, Yancheng Dong, Shixuan Liu, Chaohao Yuan, Yue He, Jian Pei, Peng Cui

IEEE Data Eng. Bull., 2022

CausPref: Causal Preference Learning for Out-of-Distribution Recommendation.

Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui, Yong Jiang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Invariant Preference Learning for General Debiasing in Recommendation.

Zimu Wang, Yue He, Jiashuo Liu, Wenchao Zou, Philip S. Yu, Peng Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges.

Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Towards Non-I.I.D. image classification: A dataset and baselines.

Yue He, Zheyan Shen, Peng Cui

Pattern Recognit., 2021

Towards Out-Of-Distribution Generalization: A Survey.

Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui

CoRR, 2021

Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors.

Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DARING: Differentiable Causal Discovery with Residual Independence.

Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Deep Stable Learning for Out-of-Distribution Generalization.

Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Counterfactual Prediction for Bundle Treatment.

Hao Zou, Peng Cui, Bo Li, Zheyan Shen, Jianxin Ma, Hongxia Yang, Yue He

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Stable Graphs from Multiple Environments with Selection Bias.

Yue He, Peng Cui, Jianxin Ma, Hao Zou, Xiaowei Wang, Hongxia Yang, Philip S. Yu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

NICO: A Dataset Towards Non-I.I.D. Image Classification.

Yue He, Zheyan Shen, Peng Cui

CoRR, 2019

2018

Progressive Generative Hashing for Image Retrieval.

Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018