| Diffusion-gan: Training gans with diffusion Z Wang, H Zheng, P He, W Chen, M Zhou The Eleventh International Conference on Learning Representations (ICLR 2023), 2022 | 166 | 2022 |
| Learning on Attribute-Missing Graphs X Chen, S Chen, J Yao, H Zheng, Y Zhang, IW Tsang IEEE transactions on pattern analysis and machine intelligence, 2020 | 85 | 2020 |
| Card: Classification and regression diffusion models X Han, H Zheng, M Zhou Advances in Neural Information Processing Systems 35, 18100-18115, 2022 | 79 | 2022 |
| A prototype-oriented framework for unsupervised domain adaptation K Tanwisuth, X Fan, H Zheng, S Zhang, H Zhang, B Chen, M Zhou Advances in Neural Information Processing Systems 34, 17194-17208, 2021 | 79 | 2021 |
| Re-imagine the negative prompt algorithm: Transform 2d diffusion into 3d, alleviate janus problem and beyond M Armandpour, A Sadeghian, H Zheng, A Sadeghian, M Zhou arXiv preprint arXiv:2304.04968, 2023 | 68 | 2023 |
| Truncated diffusion probabilistic models and diffusion-based adversarial auto-encoders H Zheng, P He, W Chen, M Zhou The Eleventh International Conference on Learning Representations (ICLR 2023), 2023 | 61* | 2023 |
| Elastic Boundary Projection for 3D Medical Image Segmentation T Ni, L Xie, H Zheng, EK Fishman, AL Yuille Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 41 | 2019 |
| Patch diffusion: Faster and more data-efficient training of diffusion models Z Wang, Y Jiang, H Zheng, P Wang, P He, Z Wang, W Chen, M Zhou Advances in Neural Information Processing Systems 36, 2024 | 39 | 2024 |
| Dr2: Diffusion-based robust degradation remover for blind face restoration Z Wang, Z Zhang, X Zhang, H Zheng, M Zhou, Y Zhang, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 37 | 2023 |
| Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings D Wang, D Guo, H Zhao, H Zheng, K Tanwisuth, B Chen, M Zhou International Conference on Learning Representations (ICLR 2022), 2022 | 30 | 2022 |
| Learning and applying ontology for machine learning in cyber attack detection H Zheng, Y Wang, C Han, F Le, R He, J Lu 2018 17th IEEE International Conference on Trust, Security and Privacy in …, 2018 | 30 | 2018 |
| Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions H Zheng, M Zhou Thirty-Fifth Conference on Neural Information Processing Systems, 2020 | 23* | 2020 |
| POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models K Tanwisuth, S Zhang, H Zheng, P He, M Zhou International Conference on Machine Learning, 33816-33832, 2023 | 21 | 2023 |
| Degeneration in vae: in the light of fisher information loss H Zheng, J Yao, Y Zhang, IW Tsang arXiv preprint arXiv:1802.06677, 2018 | 19 | 2018 |
| Class-balancing diffusion models Y Qin, H Zheng, J Yao, M Zhou, Y Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 16 | 2023 |
| Deep unsupervised image anomaly detection: An information theoretic framework F Ye, H Zheng, C Huang, Y Zhang 2021 IEEE International Conference on Image Processing (ICIP), 1609-1613, 2021 | 14 | 2021 |
| Understanding vaes in fisher-shannon plane H Zheng, J Yao, Y Zhang, IW Tsang, J Wang Proceedings of the AAAI conference on artificial intelligence 33 (01), 5917-5924, 2019 | 13 | 2019 |
| Mixing and shifting: Exploiting global and local dependencies in vision MLPs H Zheng, P He, W Chen, M Zhou arXiv preprint arXiv:2202.06510, 2022 | 12 | 2022 |
| Contrastive Attraction and Contrastive Repulsion for Representation Learning H Zheng, X Chen, J Yao, H Yang, C Li, Y Zhang, H Zhang, I Tsang, J Zhou, ... Transactions on Machine Learning Research, 2023 | 11* | 2023 |
| A regularized implicit policy for offline reinforcement learning S Yang, Z Wang, H Zheng, Y Feng, M Zhou arXiv preprint arXiv:2202.09673, 2022 | 10 | 2022 |
Mingyuan ZhouAssociate Professor, University of Texas at Austin在 mccombs.utexas.edu 的电子邮件经过验证
