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Projects
- 1 Active
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CAREER: Learning Hierarchical Generative Models for Expressive, Controllable, and Cross-domain Representations
Han, T. (PI)
1/07/24 → 30/06/29
Project: Research project
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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 proceeding › Conference contribution › peer-review
2 Scopus citations -
Learning Energy-based Model via Dual-MCMC Teaching
Cui, J. & Han, T., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-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 proceeding › Conference contribution › peer-review
Open Access4 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 proceeding › Conference contribution › peer-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 journal › Conference article › peer-review