Calculated based on number of publications stored in Pure and citations from Scopus
20122024

Research activity per year

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  • Enforcing Sparsity on Latent Space for Robust and Explainable Representations

    Li, H. & Han, T., 3 Jan 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. p. 5270-5279 10 p. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • Learning Energy-based Model via Dual-MCMC Teaching

    Cui, J. & Han, T., 2023, In: Advances in Neural Information Processing Systems. 36

    Research output: Contribution to journalConference articlepeer-review

    5 Scopus citations
  • Learning Hierarchical Features with Joint Latent Space Energy-Based Prior

    Cui, J., Wu, Y. N. & Han, T., 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision, ICCV 2023. p. 2218-2227 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    4 Scopus citations
  • Learning Joint Latent Space EBM Prior Model for Multi-layer Generator

    Cui, J., Wu, Y. N. & Han, T., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. p. 3603-3612 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2023-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Scopus citations
  • Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting

    Kong, D., Pang, B., Han, T. & Wu, Y. N., 2023, In: Proceedings of Machine Learning Research. 216, p. 1109-1120 12 p.

    Research output: Contribution to journalConference articlepeer-review