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Yifan CHEN, Prof

20212025

Research activity per year

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Chinese Name

陈奕帆

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure

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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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  • 11 Conference proceeding
  • 1 Journal article

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

    Zhang, F., Yin, Y., Li, H., Chen, Y. & Qu, T., 6 Apr 2025, Proceedings of the 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Rao, B. D., Trancoso, I., Sharma, G. & Mehta, N. B. (eds.). IEEE, 5 p. 10889221. (Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Gliding over the Pareto Front with Uniform Designs

    Zhang, X., Li, G., Lin, X., Zhang, Y., Chen, Y. & Zhang, Q., Dec 2024, 38th Conference on Neural Information Processing Systems, NeurIPS 2024. Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Neural Information Processing Systems Foundation, 31 p. (Advances in Neural Information Processing Systems; vol. 37)(NeurIPS Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    1 Citation (Scopus)

  • 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 Access
    13 Citations (Scopus)
View all 12 research outputs