Yue He

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Image Classification

Preference Learning

Ordinal Regression

Top Venues

Publications

Yue He, Pengfei Tian, Renzhe Xu, Xinwei Shen, Xingxuan Zhang, Peng Cui
Model-Agnostic Random Weighting for Out-of-Distribution Generalization. KDD (2024)
Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
NICO++: Towards Better Benchmarking for Domain Generalization. CVPR (2023)
Zimu Wang, Jiashuo Liu, Hao Zou, Xingxuan Zhang, Yue He, Dongxu Liang, Peng Cui
Exploring and Exploiting Data Heterogeneity in Recommendation. CoRR (2023)
Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui
Rethinking the Evaluation Protocol of Domain Generalization. CoRR (2023)
Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui
Covariate-Shift Generalization via Random Sample Weighting. AAAI (2023)
Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang
Stable Learning via Sparse Variable Independence. AAAI (2023)
Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui, Yong Jiang
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation. CoRR (2022)
Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui, Yong Jiang
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation. WWW (2022)
Yuan Meng, Yancheng Dong, Shixuan Liu, Chaohao Yuan, Yue He, Jian Pei, Peng Cui
Distilling Causal Metaknowledge from Knowledge Graphs. IEEE Data Eng. Bull. 45 (4) (2022)
Zimu Wang, Yue He, Jiashuo Liu, Wenchao Zou, Philip S. Yu, Peng Cui
Invariant Preference Learning for General Debiasing in Recommendation. KDD (2022)
Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
NICO++: Towards Better Benchmarking for Domain Generalization. CoRR (2022)
Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang
Stable Learning via Sparse Variable Independence. CoRR (2022)
Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui
NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. ECCV Workshops (6) (2022)
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
Deep Stable Learning for Out-Of-Distribution Generalization. CoRR (2021)
Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui
Towards Out-Of-Distribution Generalization: A Survey. CoRR (2021)
Yue He, Zheyan Shen, Peng Cui
Towards Non-I.I.D. image classification: A dataset and baselines. Pattern Recognit. 110 (2021)
Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu
Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors. KDD (2021)
Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang
DARING: Differentiable Causal Discovery with Residual Independence. KDD (2021)
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
Deep Stable Learning for Out-of-Distribution Generalization. CVPR (2021)
Yue He, Peng Cui, Jianxin Ma, Hao Zou, Xiaowei Wang, Hongxia Yang, Philip S. Yu
Learning Stable Graphs from Multiple Environments with Selection Bias. KDD (2020)
Hao Zou, Peng Cui, Bo Li, Zheyan Shen, Jianxin Ma, Hongxia Yang, Yue He
Counterfactual Prediction for Bundle Treatment. NeurIPS (2020)
Yue He, Zheyan Shen, Peng Cui
NICO: A Dataset Towards Non-I.I.D. Image Classification. CoRR (2019)
Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
Progressive Generative Hashing for Image Retrieval. IJCAI (2018)