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Yuchen Zeng
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [c9]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: 15:1-15:18 - [c8]Yuchen Zeng, Kangwook Lee:
The Expressive Power of Low-Rank Adaptation. ICLR 2024 - [c7]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: 42-50 - [i8]Yuchen Zeng, Wonjun Kang, Yicong Chen, Hyung Il Koo, Kangwook Lee:
Can MLLMs Perform Text-to-Image In-Context Learning? CoRR abs/2402.01293 (2024) - 2023
- [c6]Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee:
Equal Improvability: A New Fairness Notion Considering the Long-term Impact. ICLR 2023 - [c5]Yuchen Zeng, Hongxu Chen, Kangwook Lee:
Federated Learning with Local Fairness Constraints. ISIT 2023: 1937-1942 - [i7]Yuchen Zeng, Kangwook Lee:
The Expressive Power of Low-Rank Adaptation. CoRR abs/2310.17513 (2023) - [i6]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 abs/2312.13581 (2023) - 2022
- [c4]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 - [i5]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 abs/2206.06565 (2022) - [i4]Ozgur Guldogan
, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee:
Equal Improvability: A New Fairness Notion Considering the Long-term Impact. CoRR abs/2210.06732 (2022) - [i3]Yuchen Zeng, Kristjan H. Greenewald, Kangwook Lee, Justin Solomon, Mikhail Yurochkin:
Outlier-Robust Group Inference via Gradient Space Clustering. CoRR abs/2210.06759 (2022) - 2021
- [j2]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): 2252-2264 (2021) - [c3]Fareedah Alsaad, Thomas Reichel, Yuchen Zeng, Abdussalam Alawini:
Topic Transitions in MOOCs: An Analysis Study. EDM 2021 - [c2]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: 106-110 - [i2]Yuchen Zeng, Hongxu Chen, Kangwook Lee:
Improving Fairness via Federated Learning. CoRR abs/2110.15545 (2021)
2010 – 2019
- 2019
- [c1]Miaoyan Wang, Yuchen Zeng:
Multiway clustering via tensor block models. NeurIPS 2019: 713-723 - [i1]Yuchen Zeng, Miaoyan Wang:
Multiway clustering via tensor block models. CoRR abs/1906.03807 (2019) - 2018
- [j1]Can Hu, Wentao Fan
, Ji-Xiang Du, Yuchen Zeng
:
Model-Based segmentation of image data using spatially constrained mixture models. Neurocomputing 283: 214-227 (2018)
Coauthor Index
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last updated on 2024-08-08 20:18 CEST by the dblp team
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