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ORCIDYifan Chen 0004
Person information
- affiliation: Hong Kong Baptist University
- affiliation (former): University of Illinois Urbana-Champaign, IL, USA
Other persons with the same name
- Yifan Chen (aka: Yi-Fan Chen) — disambiguation page
- Yifan Chen 0001
![[0000-0002-2776-9456]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2776-9456")
— University of Waikato, School of Engineering Academic, Hamilton, New Zealand (and 5 more) - Yifan Chen 0002 — Ford Motor Company Limited, Dearborn, MI, USA
- Yifan Chen 0003 (aka: Yi-Fan Chen 0003) — National University of Defense Technology, Laboratory for Big Data and Decision, Changsha, China (and 1 more)
- Yifan Chen 0005 — Fuzhou University, Beijing, China
- Yifan Chen 0006 — Trinity College, Dublin, Ireland
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2020 – today
- 2025
[c19]Xichen Ye, Yifan Wu, Weizhong Zhang, Xiaoqiang Li, Yifan Chen, Cheng Jin:
Optimized Gradient Clipping for Noisy Label Learning. AAAI 2025: 9463-9471- [c18]Yifan Xu, Yujia Yin, Yiming Xing, Yifan Chen:
From Policy Comparison to Process Consistency and Beyond. CIKM 2025: 3677-3687 - [c17]Fengrui Zhang, Yujia Yin, Hongzong Li, Yifan Chen, Tianyi Qu:
Catch Causal Signals from Edges for Label Imbalance in Graph Classification. ICASSP 2025: 1-5 - [c16]Xichen Ye, Yifan Wu, Weizhong Zhang, Cheng Jin, Yifan Chen:
Towards Robust Influence Functions with Flat Validation Minima. ICML 2025 - [c15]Mingchen Jiang, Peng Xu, Xichen Ye, Yun Yang, Yifan Chen:
Embedding Empirical Distributions for Computing Optimal Transport Maps. ISIT 2025: 1-6 - [c14]Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He:
ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. KDD (1) 2025: 1-12 - [c13]Guoming Li, Jian Yang, Yifan Chen:
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening. KDD (2) 2025: 1353-1364 - [c12]Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He:
Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization. KDD (1) 2025: 1563-1574 - [i16]Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He:
ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. CoRR abs/2503.06881 (2025) - [i15]Guoming Li, Jian Yang, Yifan Chen:
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening. CoRR abs/2505.14033 (2025) - [i14]Xichen Ye, Yifan Wu, Weizhong Zhang, Cheng Jin, Yifan Chen:
Towards Robust Influence Functions with Flat Validation Minima. CoRR abs/2505.19097 (2025) - [i13]Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He:
Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization. CoRR abs/2510.16704 (2025) - 2024
- [c11]Xiaoyuan Zhang, Genghui Li, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang:
Gliding over the Pareto Front with Uniform Designs. NeurIPS 2024 - [c10]Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Yifan Chen, Han Zhao, Qingfu Zhang:
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch. NeurIPS 2024 - [i12]Xichen Ye, Yifan Wu, Yiwen Xu, Xiaoqiang Li, Weizhong Zhang, Yifan Chen:
Active Negative Loss: A Robust Framework for Learning with Noisy Labels. CoRR abs/2412.02373 (2024) - [i11]Yifan Wu, Xichen Ye, Songmin Dai, Dengye Pan, Xiaoqiang Li, Weizhong Zhang, Yifan Chen:
Revisiting Energy-Based Model for Out-of-Distribution Detection. CoRR abs/2412.03058 (2024) - [i10]Xichen Ye, Yifan Wu, Weizhong Zhang, Xiaoqiang Li, Yifan Chen, Cheng Jin:
Optimized Gradient Clipping for Noisy Label Learning. CoRR abs/2412.08941 (2024) - 2023
- [j1]Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu:
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks. Trans. Mach. Learn. Res. 2023 (2023) - [c9]Yifan Chen, Rentian Yao, Yun Yang, Jie Chen:
A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening. ICML 2023: 5257-5281 - [c8]Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He:
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning. ICML 2023: 36821-36838 - [c7]Xiaoyuan Zhang, Xi Lin, Bo Xue, Yifan Chen, Qingfu Zhang:
Hypervolume Maximization: A Geometric View of Pareto Set Learning. NeurIPS 2023 - [i9]Yifan Chen, Rentian Yao, Yun Yang, Jie Chen:
A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening. CoRR abs/2306.08854 (2023) - [i8]Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He:
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning. CoRR abs/2307.08941 (2023) - 2022
- [c6]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. EMNLP 2022: 793-808 - [c5]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention. NAACL-HLT (Findings) 2022: 1375-1388 - [c4]Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang:
Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences. NAACL-HLT 2022: 5187-5199 - [i7]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention. CoRR abs/2205.03720 (2022) - [i6]Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu:
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks. CoRR abs/2206.00583 (2022) - [i5]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. CoRR abs/2210.14469 (2022) - 2021
- [c3]Yifan Chen, Yun Yang:
Fast Statistical Leverage Score Approximation in Kernel Ridge Regression. AISTATS 2021: 2935-2943 - [c2]Yifan Chen, Yun Yang:
Accumulations of Projections - A Unified Framework for Random Sketches in Kernel Ridge Regression. AISTATS 2021: 2953-2961 - [c1]Yifan Chen, Qi Zeng, Heng Ji, Yun Yang:
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method. NeurIPS 2021: 2122-2135 - [i4]Yifan Chen, Yun Yang:
Accumulations of Projections-A Unified Framework for Random Sketches in Kernel Ridge Regression. CoRR abs/2103.04031 (2021) - [i3]Yifan Chen, Yun Yang:
Fast Statistical Leverage Score Approximation in Kernel Ridge Regression. CoRR abs/2103.05238 (2021) - [i2]Yifan Chen, Qi Zeng, Heng Ji, Yun Yang:
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström Method. CoRR abs/2111.00035 (2021) - [i1]Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang:
Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences. CoRR abs/2112.05359 (2021)
Coauthor Index
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