Zeng, Yuchen

12 publications

ICML 2025 Parameter-Efficient Fine-Tuning of State Space Models Kevin Galim, Wonjun Kang, Yuchen Zeng, Hyung Il Koo, Kangwook Lee

ICML 2025 TabFlex: Scaling Tabular Learning to Millions with Linear Attention Yuchen Zeng, Tuan Dinh, Wonjun Kang, Andreas C Mueller

NeurIPSW 2024 Parameter-Efficient Fine-Tuning of State Space Models Kevin Galim, Wonjun Kang, Yuchen Zeng, Hyung Il Koo, Kangwook Lee

NeurIPSW 2024 TabFlex: Scaling Tabular Learning to Millions with Linear Attention Yuchen Zeng, Wonjun Kang, Andreas C Mueller

ICLR 2024 The Expressive Power of Low-Rank Adaptation Yuchen Zeng, Kangwook Lee

NeurIPSW 2023 Coded Prompts for Large Language Models Ziqian Lin, Yicong Chen, Yuchen Zeng, Kangwook Lee

ICLR 2023 Equal Improvability: A New Fairness Notion Considering the Long-Term Impact Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee

NeurIPSW 2023 Outlier-Robust Group Inference via Gradient Space Clustering Yuchen Zeng, Kristjan Greenewald, Luann Jung, Kangwook Lee, Justin Solomon, Mikhail Yurochkin

NeurIPSW 2023 The Expressive Power of Low-Rank Adaptation Yuchen Zeng, Kangwook Lee

ICLRW 2022 Combinatorial Scientific Discovery: Finding New Concept Combinations Beyond Link Prediction Yuchen Zeng, Yelman Khan, Shufan Wang, Veronika Thost, Tengfei Ma

NeurIPS 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 Papailiopoulos, Kangwook Lee

NeurIPS 2019 Multiway Clustering via Tensor Block Models Miaoyan Wang, Yuchen Zeng