Wen Huang

According to our database, Wen Huang authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach.

Karuna Bhaila, Wen Huang, Yongkai Wu, Xintao Wu

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach.

Wen Huang, Xintao Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Robust Classifier under Missing-Not-at-Random Sample Selection Bias.

Huy Mai, Wen Huang, Wei Du, Xintao Wu

Proceedings of the IEEE International Conference on Big Data, 2023

Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach.

Wen Huang, Jingbo Zhou, Xintao Wu, Dejing Dou

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Achieving User-Side Fairness in Contextual Bandits.

Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan

Hum. Centric Intell. Syst., September, 2022

SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge.

Aneesh Komanduri, Yongkai Wu, Wen Huang, Feng Chen, Xintao Wu

Proceedings of the IEEE International Conference on Big Data, 2022

Achieving Counterfactual Fairness for Causal Bandit.

Wen Huang, Lu Zhang, Xintao Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Transferable Contextual Bandits with Prior Observations.

Kevin Labille, Wen Huang, Xintao Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Fairness-aware Bandit-based Recommendation.

Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Fairness through Equality of Effort.

Wen Huang, Yongkai Wu, Lu Zhang, Xintao Wu

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Multi-cause Discrimination Analysis Using Potential Outcomes.

Wen Huang, Yongkai Wu, Xintao Wu

Proceedings of the Social, Cultural, and Behavioral Modeling, 2020