Yifan Chen

According to our database, Yifan Chen authored at least 17 papers between 2021 and 2025.

Collaborative distances:

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

2025

Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization.

Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration.

Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Catch Causal Signals from Edges for Label Imbalance in Graph Classification.

Fengrui Zhang, Yujia Yin, Hongzong Li, Yifan Chen, Tianyi Qu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Optimized Gradient Clipping for Noisy Label Learning.

Xichen Ye, Yifan Wu, Weizhong Zhang, Xiaoqiang Li, Yifan Chen, Cheng Jin

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch.

Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Yifan Chen, Han Zhao, Qingfu Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Gliding over the Pareto Front with Uniform Designs.

Xiaoyuan Zhang, Genghui Li, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks.

Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu

Trans. Mach. Learn. Res., 2023

Hypervolume Maximization: A Geometric View of Pareto Set Learning.

Xiaoyuan Zhang, Xi Lin, Bo Xue, Yifan Chen, Qingfu Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning.

Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He

Proceedings of the International Conference on Machine Learning, 2023

A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening.

Yifan Chen, Rentian Yao, Yun Yang, Jie Chen

Proceedings of the International Conference on Machine Learning, 2023

2022

Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences.

Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention.

Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning.

Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström Method.

Yifan Chen, Qi Zeng, Heng Ji, Yun Yang

CoRR, 2021

Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method.

Yifan Chen, Qi Zeng, Heng Ji, Yun Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accumulations of Projections - A Unified Framework for Random Sketches in Kernel Ridge Regression.

Yifan Chen, Yun Yang

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Fast Statistical Leverage Score Approximation in Kernel Ridge Regression.

Yifan Chen, Yun Yang

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021