Wanqian Yang

PhD student, New York University

Joined

September 2021

Names

Wanqian Yang (Preferred)

Emails

****@gmail.com (Confirmed)

****@nyu.edu (Confirmed)

Personal Links

Career & Education History

PhD student

New York University (nyu.edu)

2021 – Present

Undergrad student

Harvard University (harvard.edu)

2016 – 2020

Advisors, Relations & Conflicts

PhD Advisor

Rajesh Ranganath

2021 – Present

Coauthor

Finale Doshi-Velez

2018 – 2020

Expertise

Language Modeling

Present

Publications

Learning Is Not A Race: Improving Retrieval in Language Models via Equal Learning
Wanqian Yang, Aahlad Manas Puli, Rajesh Ranganath
- EMNLP (Findings) 2025
- Readers: Everyone
Unclipping CLIP's Wings: Avoiding Robustness Pitfalls in Multimodal Image Classification
Wanqian Yang, Rajesh Ranganath
- Submitted to ICLR 2025
- Readers: Everyone
Doing Fast Adaptation Fast: Conditionally Independent Deep Ensembles for Distribution Shifts
Wanqian Yang, Aahlad Manas Puli, Andrew Gordon Wilson, Rajesh Ranganath
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Wanqian Yang, Polina Kirichenko, Micah Goldblum, Andrew Gordon Wilson
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Wanqian Yang, Polina Kirichenko, Micah Goldblum, Andrew Gordon Wilson
- 2022 (modified: 24 Apr 2023)
- CoRR 2022
- Readers: Everyone
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Wanqian Yang, Polina Kirichenko, Micah Goldblum, Andrew Gordon Wilson
- Published: 01 Jan 2022, Last Modified: 22 Sept 2023
- NeurIPS 2022
- Readers: Everyone
Discovery of hierarchical representations for efficient planning
Momchil S. Tomov, Samyukta Yagati, Agni Kumar, Wanqian Yang, Samuel J. Gershman
- 2020 (modified: 04 Nov 2022)
- PLoS Comput. Biol. 2020
- Readers: Everyone
Incorporating Interpretable Output Constraints in Bayesian Neural Networks
Wanqian Yang, Lars Lorch, Moritz A. Graule, Himabindu Lakkaraju, Finale Doshi-Velez
- 2020 (modified: 02 Aug 2021)
- NeurIPS 2020
- Readers: Everyone
Incorporating Interpretable Output Constraints in Bayesian Neural Networks
Wanqian Yang, Lars Lorch, Moritz A. Graule, Himabindu Lakkaraju, Finale Doshi-Velez
- 2020 (modified: 02 Aug 2021)
- CoRR 2020
- Readers: Everyone
Output-Constrained Bayesian Neural Networks
Wanqian Yang, Lars Lorch, Moritz A. Graule, Srivatsan Srinivasan, Anirudh Suresh, Jiayu Yao, Melanie F. Pradier, Finale Doshi-Velez
- 2019 (modified: 02 Aug 2021)
- CoRR 2019
- Readers: Everyone