W
Wen Huang Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
9 h-index
29 pubs
344 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Wen Huang's research focuses on developing and improving machine learning algorithms, particularly in the area of contextual bandits and recommendation systems. A significant portion of this work addresses fairness and robustness in these systems, aiming to mitigate biases and improve performance when dealing with imperfect data. This includes investigating methods for achieving counterfactual fairness and user-side fairness in bandit algorithms. Huang also explores causal approaches to enhance bandit algorithms, especially when dealing with confounded and selection-biased offline data, as demonstrated in recent publications.
Further research interests include developing robust classifiers that can handle sample selection bias, particularly in missing-not-at-random scenarios. This work has led to the development of techniques like SCM-VAE for learning identifiable causal representations. Huang has a record of 29 publications with 328 citations and an h-index of 8. Key collaborators at the University of Arkansas at Fayetteville include Xintao Wu and Kevin Labille.
Metrics
- h-index: 9
- Publications: 29
- Citations: 344
Selected Publications
-
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach (2024)
-
Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach (2023)
-
A Robust Classifier under Missing-Not-at-Random Sample Selection Bias (2023)
-
SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge (2022)
-
Achieving Counterfactual Fairness for Causal Bandit (2022)
-
Achieving User-Side Fairness in Contextual Bandits (2022)
-
Fairness-aware Bandit-based Recommendation (2021)
-
Transferable Contextual Bandits with Prior Observations (2021)
Collaboration Network
Top Collaborators
Xintao Wu
University of Arkansas at Fayetteville
9 shared publications
In database
- Achieving Counterfactual Fairness for Causal Bandit
- Achieving User-Side Fairness in Contextual Bandits
- SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge
- Fairness-aware Bandit-based Recommendation
- Transferable Contextual Bandits with Prior Observations
Showing 5 of 9 shared publications
Kevin Labille
University of Arkansas at Fayetteville
3 shared publications
In database
- Achieving User-Side Fairness in Contextual Bandits
- Fairness-aware Bandit-based Recommendation
- Transferable Contextual Bandits with Prior Observations
Dongwon Lee
Pennsylvania State University (US)
2 shared publications
- Achieving User-Side Fairness in Contextual Bandits
- Fairness-aware Bandit-based Recommendation
Neil T. Heffernan
Worcester Polytechnic Institute (US)
2 shared publications
- Achieving User-Side Fairness in Contextual Bandits
- Fairness-aware Bandit-based Recommendation
Sheng Liu Sun
Beijing Information Science & Technology University (CN)
2 shared publications
- First-Principal Investigation of Lattice Constants of Si<sub>1-<i>x</i></sub>Ge<i><sub>x</sub></i>, Si<sub>1-<i>x</i></sub>Sn<i><sub>x</sub></i> and Ge<sub>1-<i>x</i></sub>Sn<i><sub>x</sub></i>
- The Investigation of Lattice Properties for Group-IV Sigesn Ternary Alloy: By Using Machine Learning Method
Zhang Li
Beijing Information Science & Technology University (CN)
2 shared publications
- First-Principal Investigation of Lattice Constants of Si<sub>1-<i>x</i></sub>Ge<i><sub>x</sub></i>, Si<sub>1-<i>x</i></sub>Sn<i><sub>x</sub></i> and Ge<sub>1-<i>x</i></sub>Sn<i><sub>x</sub></i>
- The Investigation of Lattice Properties for Group-IV Sigesn Ternary Alloy: By Using Machine Learning Method
Zhen‐Yu Chen
Beijing Information Science & Technology University (CN)
2 shared publications
- First-Principal Investigation of Lattice Constants of Si<sub>1-<i>x</i></sub>Ge<i><sub>x</sub></i>, Si<sub>1-<i>x</i></sub>Sn<i><sub>x</sub></i> and Ge<sub>1-<i>x</i></sub>Sn<i><sub>x</sub></i>
- The Investigation of Lattice Properties for Group-IV Sigesn Ternary Alloy: By Using Machine Learning Method
Chun Qian Zhang
Beijing Information Science & Technology University (CN)
2 shared publications
- First-Principal Investigation of Lattice Constants of Si<sub>1-<i>x</i></sub>Ge<i><sub>x</sub></i>, Si<sub>1-<i>x</i></sub>Sn<i><sub>x</sub></i> and Ge<sub>1-<i>x</i></sub>Sn<i><sub>x</sub></i>
- The Investigation of Lattice Properties for Group-IV Sigesn Ternary Alloy: By Using Machine Learning Method
Lu Zhang
University of Arkansas at Fayetteville (US)
1 shared publication
- Achieving Counterfactual Fairness for Causal Bandit
Hao Wang
Beijing Information Science & Technology University (CN)
1 shared publication
- First-Principal Investigation of Lattice Constants of Si<sub>1-<i>x</i></sub>Ge<i><sub>x</sub></i>, Si<sub>1-<i>x</i></sub>Sn<i><sub>x</sub></i> and Ge<sub>1-<i>x</i></sub>Sn<i><sub>x</sub></i>
Hao Wang
Beijing Information Science & Technology University (CN)
1 shared publication
- The Investigation of Lattice Properties for Group-IV Sigesn Ternary Alloy: By Using Machine Learning Method
Aneesh Komanduri
University of Arkansas at Fayetteville (US)
1 shared publication
- SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge
Yongkai Wu
Clemson University (US)
1 shared publication
- SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge
Feng Chen
The University of Texas at Dallas (US)
1 shared publication
- SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge
Huy Mai
University of Arkansas at Fayetteville
1 shared publication
In database
- A Robust Classifier under Missing-Not-at-Random Sample Selection Bias
Similar Researchers
Based on overlapping research topics
Molla Hafizur Rahman
University of Arkansas at Fayetteville
Advanced Neural Network Applications
Decision-Making and Behavioral Economics
Machine Learning Applications
Oscar Gilbert
Arkansas State University
Advanced Neural Network Applications
Decision-Making and Behavioral Economics
Machine Learning Applications
Vuban Chowdhury
University of Arkansas at Fayetteville
Advanced Neural Network Applications
Decision-Making and Behavioral Economics
Machine Learning Applications
Nandagopal Parise
Southern Arkansas University
Advanced Neural Network Applications
Machine Learning Applications
Technology Adoption and User Behaviour
Yuyang Zhang
Harding University Main Campus
Advanced Neural Network Applications
Decision-Making and Behavioral Economics
Machine Learning Applications
Kevin Labille
University of Arkansas at Fayetteville
Advanced Neural Network Applications
Decision-Making and Behavioral Economics
Machine Learning Applications