Projects per year
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Chinese Name
陈奕帆
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Dive into the research topics where Yifan CHEN is active. Topic labels come from the works of this scholar.
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Collaborations and top research areas from the last five years
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Projects
- 1 Not started
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Statistical Modeling of Empirical Distribution Transforms via Wasserstein Metrics
1/01/25 → 31/12/27
Project: Research project
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A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
Chen, Y., Yao, R., Yang, Y. & Chen, J., Jul 2023, Proceedings of 40th International Conference on Machine Learning, ICML 2023. Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S. & Scarlett, J. (eds.). ML Research Press, p. 5257-5281 25 p. (Proceedings of Machine Learning Research; vol. 202).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks
Chen, Y., Xu, T., Hakkani-Tur, D., Jin, D., Yang, Y. & Zhu, R., Jan 2023, In: Transactions on Machine Learning Research. p. 1-32 32 p.Research output: Contribution to journal › Journal article › peer-review
Open Access -
Hypervolume Maximization: A Geometric View of Pareto Set Learning
Zhang, X., Lin, X., Xue, B., Chen, Y. & Zhang, Q., Dec 2023, 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural Information Processing Systems Foundation, p. 1-28 28 p. (Advances in Neural Information Processing Systems; vol. 36)(NeurIPS Proceedings).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access6 Citations (Scopus) -
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning
Wei, T., Guo, Z., Chen, Y. & He, J., Jul 2023, Proceedings of 40th International Conference on Machine Learning, ICML 2023. Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S. & Scarlett, J. (eds.). ML Research Press, Vol. 202. p. 36821-36838 18 p. (Proceedings of Machine Learning Research; vol. 202).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access3 Citations (Scopus) -
Empowering Parameter-Efficient Transfer Learning by Recognizing the Kernel Structure in Attention
Chen, Y., Hazarika, D., Namazifar, M., Liu, Y., Jin, D. & Hakkani-Tur, D., Jul 2022, Findings of the Association for Computational Linguistics: NAACL 2022. Association for Computational Linguistics (ACL), p. 1375-1388 14 p.Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
2 Citations (Scopus)