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Yuchen Zeng
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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 - [i9]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) - [i8]Ananya Bhattacharjee, Sarah Yi Xu, Pranav Rao, Yuchen Zeng, Jonah Meyerhoff, Syed Ishtiaque Ahmed, David C. Mohr, Michael Liut, Alex Mariakakis, Rachel Kornfield, Joseph Jay Williams:
"It Explains What I am Currently Going Through Perfectly to a Tee": Understanding User Perceptions on LLM-Enhanced Narrative Interventions. CoRR abs/2409.16732 (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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