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ORCIDWen Huang 0003
Person information
- affiliation (PhD 2023): University of Arkansas, Fayetteville, AR, USA
Other persons with the same name
- Wen Huang — disambiguation page
- Wen Huang 0001
![[0000-0001-8324-2416]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8324-2416")
— Xiamen University, School of Mathematical Sciences, Fujian, China (and 2 more) - Wen Huang 0002 — Sichuan University, College of Computer Science, Chengdu, China (and 1 more)
- Wen Huang 0004 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai, China
Other persons with a similar name
- Wen-Huang Cheng (aka: Weng-Huang Cheng) — National Chiao Tung University, Taiwan
- Chao-Wen Huang
- Ke-Wen Huang
- Wen-Chin Huang
- Wen-Hung Kevin Huang (aka: Wen-Hung Huang 0001) — TU Dortmund, Germany
- Wen-Tzeng Huang
- Wen-ling Huang
- Wentao Huang (aka: Wen-Tao Huang) — disambiguation page
- Yu-Wen Huang
- Wenbing Huang 0001 (aka: Wen-bing Huang 0001) — Renmin University of China, Beijing, China (and 2 more)
- show all similar names
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2020 – today
- 2024
[c10]Wen Huang, Xintao Wu:
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach. AAAI 2024: 20438-20446- [c9]Karuna Bhaila, Wen Huang, Yongkai Wu, Xintao Wu:
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach. SDM 2024: 1-9 - 2023
- [c8]Wen Huang, Jingbo Zhou, Xintao Wu, Dejing Dou:
Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach. IEEE Big Data 2023: 27-36 - [c7]Huy Mai, Wen Huang, Wei Du, Xintao Wu:
A Robust Classifier under Missing-Not-at-Random Sample Selection Bias. IEEE Big Data 2023: 1206-1213 - [i6]Huy Mai, Wen Huang, Wei Du, Xintao Wu:
A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias. CoRR abs/2305.15641 (2023) - [i5]Karuna Bhaila, Wen Huang, Yongkai Wu, Xintao Wu:
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach. CoRR abs/2309.08569 (2023) - [i4]Wen Huang, Xintao Wu:
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach. CoRR abs/2312.12731 (2023) - 2022
- [j1]Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan:
Achieving User-Side Fairness in Contextual Bandits. Hum. Centric Intell. Syst. 2(3-4): 81-94 (2022) - [c6]Wen Huang, Lu Zhang, Xintao Wu:
Achieving Counterfactual Fairness for Causal Bandit. AAAI 2022: 6952-6959 - [c5]Aneesh Komanduri, Yongkai Wu, Wen Huang, Feng Chen, Xintao Wu:
SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge. IEEE Big Data 2022: 1014-1023 - 2021
- [c4]Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan:
Fairness-aware Bandit-based Recommendation. IEEE BigData 2021: 1273-1278 - [c3]Kevin Labille, Wen Huang, Xintao Wu:
Transferable Contextual Bandits with Prior Observations. PAKDD (2) 2021: 398-410 - [i3]Wen Huang, Lu Zhang, Xintao Wu:
Achieving Counterfactual Fairness for Causal Bandit. CoRR abs/2109.10458 (2021) - 2020
- [c2]Wen Huang, Yongkai Wu, Xintao Wu:
Multi-cause Discrimination Analysis Using Potential Outcomes. SBP-BRiMS 2020: 224-234 - [c1]Wen Huang, Yongkai Wu, Lu Zhang, Xintao Wu:
Fairness through Equality of Effort. WWW (Companion Volume) 2020: 743-751 - [i2]Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan:
Achieving User-Side Fairness in Contextual Bandits. CoRR abs/2010.12102 (2020)
2010 – 2019
- 2019
- [i1]Wen Huang, Yongkai Wu, Lu Zhang, Xintao Wu:
Fairness through Equality of Effort. CoRR abs/1911.08292 (2019)
Coauthor Index
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