Lina Yao

发表

Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects

Xiwei Xu, Guanglin Zhou, Lina Yao, 2022, ArXiv.

Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation

Lianyong Qi, Xiaocong Chen, Yong Li, 2022, ArXiv.

Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis

Julian McAuley, Xiaocong Chen, Lina Yao, 2022, ArXiv.

IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation

Zhiwen Yu, Bin Guo, Jing Du, 2022, WSDM.

Contrastive Conditional Neural Processes

Lina Yao, Zesheng Ye, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions

Xiwei Xu, Guanglin Zhou, Kun Zhang, 2023, ArXiv.

Learning to Recommend With Multiple Cascading Behaviors

Chen Gao, Lina Yao, Xiangnan He, 2018, IEEE Transactions on Knowledge and Data Engineering.

To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods

M. Staples, Xiwei Xu, Zhenchang Xing, 2023, ArXiv.

AskMe: joint individual-level and community-level behavior interaction for question recommendation

Y. Liu, Zhiwen Yu, Bin Guo, 2021, World wide web (Bussum).

PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning

Changzheng Gao, Depeng Jin, Yuchen Wu, 2023, AAAI.

Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning

D. Jannach, Xiaocong Chen, Lina Yao, 2023, SIGIR.

Contrastive Individual Treatment Effects Estimation

Xinshu Li, Lina Yao, 2022, Industrial Conference on Data Mining.

On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems

D. Jannach, Julian McAuley, Xiaocong Chen, 2023, ACM Transactions on Information Systems.

Quantifying predictability of sequential recommendation via logical constraints

Zhiwen Yu, Bin Guo, Lina Yao, 2022, Frontiers Comput. Sci..

Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning based Recommendation

Julian McAuley, Sally Cripps, Xiaocong Chen, 2022, 2208.05142.

Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning

D. Jannach, Xiaocong Chen, Lina Yao, 2023, SIGIR.

Emerging Synergies in Causality and Deep Generative Models: A Survey

Shaoan Xie, Xiwei Xu, Biwei Huang, 2023, 2301.12351.

Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems

Xiwei Xu, Xiaocong Chen, Guanglin Zhou, 2022, CIKM.

Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences

Xiwei Xu, Xiaocong Chen, Guanglin Zhou, 2022, ArXiv.

Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network

Y. Liu, Zhiwen Yu, Bin Guo, 2022, Data Mining and Knowledge Discovery.

Emerging Synergies in Causality and Deep Generative Models: A Survey

Shaoan Xie, Xiwei Xu, Biwei Huang, 2023, 2301.12351.

Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation

Lianyong Qi, Xiaocong Chen, Yong Li, 2022, World Wide Web.

Biased or Debiased: Polarization-aware Embedding Learning from Social Media Knowledge Graph

Lina Yao, Takahiro Hara, Yihong Zhang, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).