Mengyue Yang

Orcid: 0000-0003-4175-8398

According to our database1, Mengyue Yang authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Natural Language Reinforcement Learning.
CoRR, 2024

InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization.
CoRR, 2024

2023
Debiased Recommendation with User Feature Balancing.
ACM Trans. Inf. Syst., October, 2023

Invariant Learning via Probability of Sufficient and Necessary Causes.
CoRR, 2023

ChessGPT: Bridging Policy Learning and Language Modeling.
CoRR, 2023

Rectifying Unfairness in Recommendation Feedback Loop.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Invariant Learning via Probability of Sufficient and Necessary Causes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Lending Interaction Wings to Recommender Systems with Conversational Agents.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ChessGPT: Bridging Policy Learning and Language Modeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Specify Robust Causal Representation from Mixed Observations.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Generalizable Information Theoretic Causal Representation.
CoRR, 2022

Debiased Recommendation with User Feature Balancing.
CoRR, 2022

2021
Deconfounding Representation Learning Based on User Interactions in Recommendation Systems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Top-N Recommendation with Counterfactual User Preference Simulation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Causal World Models by Unsupervised Deconfounding of Physical Dynamics.
CoRR, 2020

CausalVAE: Structured Causal Disentanglement in Variational Autoencoder.
CoRR, 2020

Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2018
A Study for Moving Object Extraction Method of Intelligent Vehicle Omnidirectional Lidar.
J. Inf. Hiding Multim. Signal Process., 2018


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