Yuchen Zeng

According to our database, Yuchen Zeng authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DARWIN 1.5: Large Language Models as Materials Science Adapted Learners.

Tong Xie, Yuwei Wan, Yixuan Liu, Yuchen Zeng, Wenjie Zhang, Chunyu Kit, Dongzhan Zhou, Bram Hoex

CoRR, 2024

Parameter-Efficient Fine-Tuning of State Space Models.

Kevin Galim, Wonjun Kang, Yuchen Zeng, Hyung Il Koo, Kangwook Lee

CoRR, 2024

"It Explains What I am Currently Going Through Perfectly to a Tee": Understanding User Perceptions on LLM-Enhanced Narrative Interventions.

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

CoRR, 2024

Can MLLMs Perform Text-to-Image In-Context Learning?

Yuchen Zeng, Wonjun Kang, Yicong Chen, Hyung Il Koo, Kangwook Lee

CoRR, 2024

Integrating Digital Calendars with Large Language Models for Stress Management Interventions.

Pranav Rao, Sarah Yi Xu, Ananya Bhattacharjee, Yuchen Zeng, Alex Mariakakis, Joseph Jay Williams

Proceedings of the 19th International Conference on Persuasive Technology, Adjunct Proceedings co-located with PERSUASIVE 2024, Wollongong, Australia, April 10th, 2024

The Expressive Power of Low-Rank Adaptation.

Yuchen Zeng, Kangwook Lee

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination.

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

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Federated Learning with Local Fairness Constraints.

Yuchen Zeng, Hongxu Chen, Kangwook Lee

Proceedings of the IEEE International Symposium on Information Theory, 2023

Equal Improvability: A New Fairness Notion Considering the Long-term Impact.

Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Outlier-Robust Group Inference via Gradient Space Clustering.

Yuchen Zeng, Kristjan H. Greenewald, Kangwook Lee, Justin Solomon, Mikhail Yurochkin

CoRR, 2022

LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks.

Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Hybrid Blockchain-Based Resource Trading System for Federated Learning in Edge Computing.

Sizheng Fan, Hongbo Zhang, Yuchen Zeng, Wei Cai

IEEE Internet Things J., 2021

Improving Fairness via Federated Learning.

Yuchen Zeng, Hongxu Chen, Kangwook Lee

CoRR, 2021

Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography.

Yuchen Zeng, Gregory Howe, Kai Yi, Xiangrui Zeng, Jing Zhang, Yi-Wei Chang, Min Xu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Topic Transitions in MOOCs: An Analysis Study.

Fareedah Alsaad, Thomas Reichel, Yuchen Zeng, Abdussalam Alawini

Proceedings of the 14th International Conference on Educational Data Mining, 2021

2019

Multiway clustering via tensor block models.

Miaoyan Wang, Yuchen Zeng

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Model-Based segmentation of image data using spatially constrained mixture models.

Can Hu, Wentao Fan, Ji-Xiang Du, Yuchen Zeng

Neurocomputing, 2018