Yuchen Zeng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Top Venues

Publications

Pranav Rao, Sarah Yi Xu, Ananya Bhattacharjee, Yuchen Zeng, Alex Mariakakis, Joseph Jay Williams
Integrating Digital Calendars with Large Language Models for Stress Management Interventions. PERSUASIVE (Adjunct) (2024)
Yuchen Zeng, Kangwook Lee
The Expressive Power of Low-Rank Adaptation. ICLR (2024)
Yuchen Zeng, Wonjun Kang, Yicong Chen, Hyung Il Koo, Kangwook Lee
Can MLLMs Perform Text-to-Image In-Context Learning? CoRR (2024)
Ananya Bhattacharjee, Yuchen Zeng, Sarah Yi Xu, Dana Kulzhabayeva, Minyi Ma, Rachel Kornfield, Syed Ishtiaque Ahmed, Alex Mariakakis, Mary P. Czerwinski, Anastasia Kuzminykh, Michael Liut, Joseph Jay Williams
Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination. CHI (2024)
Yuchen Zeng, Hongxu Chen, Kangwook Lee
Federated Learning with Local Fairness Constraints. ISIT (2023)
Yuchen Zeng, Kangwook Lee
The Expressive Power of Low-Rank Adaptation. CoRR (2023)
Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee
Equal Improvability: A New Fairness Notion Considering the Long-term Impact. ICLR (2023)
Ananya Bhattacharjee, Yuchen Zeng, Sarah Yi Xu, Dana Kulzhabayeva, Minyi Ma, Rachel Kornfield, Syed Ishtiaque Ahmed, Alex Mariakakis, Mary P. Czerwinski, Anastasia Kuzminykh, Michael Liut, Joseph Jay Williams
Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination. CoRR (2023)
Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks. CoRR (2022)
Yuchen Zeng, Kristjan H. Greenewald, Kangwook Lee, Justin Solomon, Mikhail Yurochkin
Outlier-Robust Group Inference via Gradient Space Clustering. CoRR (2022)
Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks. NeurIPS (2022)
Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee
Equal Improvability: A New Fairness Notion Considering the Long-term Impact. CoRR (2022)
Yuchen Zeng, Hongxu Chen, Kangwook Lee
Improving Fairness via Federated Learning. CoRR (2021)
Yuchen Zeng, Gregory Howe, Kai Yi, Xiangrui Zeng, Jing Zhang, Yi-Wei Chang, Min Xu
Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography. ICIP (2021)
Sizheng Fan, Hongbo Zhang, Yuchen Zeng, Wei Cai
Hybrid Blockchain-Based Resource Trading System for Federated Learning in Edge Computing. IEEE Internet Things J. 8 (4) (2021)
Fareedah Alsaad, Thomas Reichel, Yuchen Zeng, Abdussalam Alawini
Topic Transitions in MOOCs: An Analysis Study. EDM (2021)
Yuchen Zeng, Miaoyan Wang
Multiway clustering via tensor block models. CoRR (2019)
Miaoyan Wang, Yuchen Zeng
Multiway clustering via tensor block models. NeurIPS (2019)
Can Hu, Wentao Fan, Ji-Xiang Du, Yuchen Zeng
Model-Based segmentation of image data using spatially constrained mixture models. Neurocomputing 283 (2018)