Fast Statistical Leverage Score Approximation in Kernel Ridge Regression. - Yifan Chen 004; Yun Yang (AISTATS, 2021)

Accumulations of Projections - A Unified Framework for Random Sketches in Kernel Ridge Regression. - Yifan Chen 004; Yun Yang (AISTATS, 2021)

Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr "om Method. - Yifan Chen 004; Qi Zeng 001; Heng Ji 001; Yun Yang (NeurIPS, 2021)

Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström Method. - Yifan Chen 004; Qi Zeng 001; Heng Ji 001; Yun Yang (CoRR, 2021)

Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. - Yifan Chen 004; Devamanyu Hazarika; Mahdi Namazifar; Yang Liu 004; Di Jin; Dilek Hakkani-Tur (EMNLP, 2022)

Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention. - Yifan Chen 004; Devamanyu Hazarika; Mahdi Namazifar; Yang Liu 004; Di Jin; Dilek Hakkani-Tur (NAACL-HLT (Findings), 2022)

Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences. - Yifan Chen 004; Qi Zeng 001; Dilek Hakkani-Tur; Di Jin; Heng Ji 001; Yun Yang (NAACL-HLT, 2022)

A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening. - Yifan Chen 004; Rentian Yao; Yun Yang; Jie Chen (ICML, 2023)

NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning. - Tianxin Wei; Zeming Guo; Yifan Chen 004; Jingrui He (ICML, 2023)

Hypervolume Maximization: A Geometric View of Pareto Set Learning. - Xiaoyuan Zhang; Xi Lin 001; Bo Xue 004; Yifan Chen 004; Qingfu Zhang 001 (NeurIPS, 2023)

Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks. - Yifan Chen 004; Tianning Xu; Dilek Hakkani-Tur; Di Jin; Yun Yang; Ruoqing Zhu (Trans. Mach. Learn. Res., 2023)

Gliding over the Pareto Front with Uniform Designs. - Xiaoyuan Zhang; Genghui Li; Xi Lin 001; Yichi Zhang; Yifan Chen 004; Qingfu Zhang 001 (NeurIPS, 2024)

LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch. - Xiaoyuan Zhang; Liang Zhao; Yingying Yu; Xi Lin 001; Yifan Chen 004; Han Zhao 002; Qingfu Zhang 001 (NeurIPS, 2024)

Optimized Gradient Clipping for Noisy Label Learning. - Xichen Ye; Yifan Wu; Weizhong Zhang; Xiaoqiang Li; Yifan Chen 004; Cheng Jin 001 (AAAI, 2025)

Catch Causal Signals from Edges for Label Imbalance in Graph Classification. - Fengrui Zhang; Yujia Yin; Hongzong Li; Yifan Chen 004; Tianyi Qu (ICASSP, 2025)

ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. - Mengting Ai; Tianxin Wei; Yifan Chen 004; Zhichen Zeng 001; Ritchie Zhao; Girish Varatkar; Bita Darvish Rouhani; Xianfeng Tang; Hanghang Tong; Jingrui He (KDD (1), 2025)

Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization. - Tianxin Wei; Yifan Chen 004; Xinrui He; Wenxuan Bao; Jingrui He (KDD (1), 2025)