Progressive Generative Hashing for Image Retrieval. - Yuqing Ma; Yue He 001; Fan Ding; Sheng Hu; Jun Li 072; Xianglong Liu 001 (IJCAI, 2018)

NICO: A Dataset Towards Non-I.I.D. Image Classification. - Yue He 001; Zheyan Shen; Peng Cui 001 (CoRR, 2019)

Learning Stable Graphs from Multiple Environments with Selection Bias. - Yue He 001; Peng Cui 001; Jianxin Ma; Hao Zou 001; Xiaowei Wang; Hongxia Yang; Philip S. Yu (KDD, 2020)

Counterfactual Prediction for Bundle Treatment. - Hao Zou 001; Peng Cui 001; Bo Li 064; Zheyan Shen; Jianxin Ma; Hongxia Yang; Yue He 001 (NeurIPS, 2020)

Deep Stable Learning for Out-of-Distribution Generalization. - Xingxuan Zhang; Peng Cui 001; Renzhe Xu; Linjun Zhou; Yue He 001; Zheyan Shen (CVPR, 2021)

DARING: Differentiable Causal Discovery with Residual Independence. - Yue He 001; Peng Cui 001; Zheyan Shen; Renzhe Xu; Furui Liu; Yong Jiang 001 (KDD, 2021)

Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors. - Yue He 001; Yancheng Dong; Peng Cui 001; Yuhang Jiao 001; Xiaowei Wang; Ji Liu 002; Philip S. Yu (KDD, 2021)

Towards Out-Of-Distribution Generalization: A Survey. - Zheyan Shen; Jiashuo Liu; Yue He 001; Xingxuan Zhang; Renzhe Xu; Han Yu 009; Peng Cui 001 (CoRR, 2021)

Towards Non-I.I.D. image classification: A dataset and baselines. - Yue He 001; Zheyan Shen; Peng Cui 001 (Pattern Recognit., 2021)

NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. - Xingxuan Zhang; Yue He 001; Tan Wang; Jiaxin Qi; Han Yu 009; Zimu Wang; Jie Peng; Renzhe Xu; Zheyan Shen; Yulei Niu; Hanwang Zhang; Peng Cui 001 (ECCV Workshops (6), 2022)

Invariant Preference Learning for General Debiasing in Recommendation. - Zimu Wang; Yue He 001; Jiashuo Liu; Wenchao Zou; Philip S. Yu; Peng Cui 001 (KDD, 2022)

CausPref: Causal Preference Learning for Out-of-Distribution Recommendation. - Yue He 001; Zimu Wang; Peng Cui 001; Hao Zou 001; Yafeng Zhang; Qiang Cui; Yong Jiang 001 (WWW, 2022)

Distilling Causal Metaknowledge from Knowledge Graphs. - Yuan Meng; Yancheng Dong; Shixuan Liu; Chaohao Yuan; Yue He 001; Jian Pei 001; Peng Cui 001 (IEEE Data Eng. Bull., 2022)

Covariate-Shift Generalization via Random Sample Weighting. - Yue He 001; Xinwei Shen 002; Renzhe Xu; Tong Zhang 001; Yong Jiang 001; Wenchao Zou; Peng Cui 001 (AAAI, 2023)

Stable Learning via Sparse Variable Independence. - Han Yu 009; Peng Cui 001; Yue He 001; Zheyan Shen; Yong Lin; Renzhe Xu; Xingxuan Zhang (AAAI, 2023)

NICO++: Towards Better Benchmarking for Domain Generalization. - Xingxuan Zhang; Yue He 001; Renzhe Xu; Han Yu 009; Zheyan Shen; Peng Cui 001 (CVPR, 2023)

Rethinking the Evaluation Protocol of Domain Generalization. - Han Yu 009; Xingxuan Zhang; Renzhe Xu; Jiashuo Liu; Yue He 001; Peng Cui 001 (CVPR, 2024)

Domain-wise Data Acquisition to Improve Performance under Distribution Shift. - Yue He 001; Dongbai Li; Pengfei Tian; Han Yu 009; Jiashuo Liu; Hao Zou 001; Peng Cui 001 (ICML, 2024)

Model-Agnostic Random Weighting for Out-of-Distribution Generalization. - Yue He 001; Pengfei Tian; Renzhe Xu; Xinwei Shen 002; Xingxuan Zhang; Peng Cui 001 (KDD, 2024)

Stable Cox regression for survival analysis under distribution shifts. - Shaohua Fan; Renzhe Xu; Qian Dong; Yue He 001; Cheng Chang; Peng Cui 001 (Nat. Mac. Intell., 2024)

COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts. - Jiansheng Li; Xingxuan Zhang; Hao Zou 001; Yige Guo; Renzhe Xu; Yilong Liu; Chuzhao Zhu; Yue He 001; Peng Cui 001 (CVPR, 2025)

EvoPath: Evolutionary meta-path discovery with large language models for complex heterogeneous information networks. - Shixuan Liu; Haoxiang Cheng; Yunfei Wang; Yue He 001; Changjun Fan; Zhong Liu 002 (Inf. Process. Manag., 2025)

Exploring and Exploiting Data Heterogeneity in Recommendation. - Zimu Wang; Jiashuo Liu; Hao Zou 001; Xingxuan Zhang; Yue He 001; Dongxu Liang; Peng Cui 001 (ACM Trans. Knowl. Discov. Data, 2025)

Error Slice Discovery via Manifold Compactness. - Han Yu 009; Jiashuo Liu; Hao Zou 001; Renzhe Xu; Yue He 001; Xingxuan Zhang; Peng Cui 001 (CoRR, 2025)

Sample Weight Averaging for Stable Prediction. - Han Yu 009; Yue He 001; Renzhe Xu; Dongbai Li; Jiayin Zhang; Wenchao Zou; Peng Cui 001 (CoRR, 2025)

AdaptSel: Adaptive Selection of Biased and Debiased Recommendation Models for Varying Test Environments. - Zimu Wang; Hao Zou 001; Jiashuo Liu; Jiayun Wu; Pengfei Tian; Yue He 001; Peng Cui 001 (ACM Trans. Knowl. Discov. Data, 2025)

Rule Learning for Knowledge Graph Reasoning under Agnostic Distribution Shift. - Shixuan Liu; Yue He 001; Yunfei Wang; Hao Zou 001; Haoxiang Cheng; Wenjing Yang 002; Peng Cui 001; Zhong Liu 002 (CoRR, 2025)