| Lafite: Towards Language-Free Training for Text-to-Image Generation Y Zhou, R Zhang, C Chen, C Li, C Tensmeyer, T Yu, J Gu, J Xu, T Sun IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022., 2021 | 292* | 2021 |
| Llavar: Enhanced visual instruction tuning for text-rich image understanding Y Zhang, R Zhang, J Gu, Y Zhou, N Lipka, D Yang, T Sun NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023 | 190 | 2023 |
| Holistic Brain Tumor Screening and Classification Based on DenseNet and Recurrent Neural Network Y Zhou, Z Li, H Zhu, C Chen, M Gao, K Xu, J Xu Brain Lesion Workshop, MICCAI 2018, 2018 | 107 | 2018 |
| MixKD: Towards Efficient Distillation of Large-scale Language Models KJ Liang, W Hao, D Shen, Y Zhou, W Chen, C Chen, L Carin Ninth International Conference on Learning Representations, ICLR 2021, 2020 | 78 | 2020 |
| Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions Z Wang, P Yu, Y Zhao, R Zhang, Y Zhou, J Yuan, C Chen The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, 2019 | 57 | 2019 |
| Shifted Diffusion for Text-to-image Generation Y Zhou, B Liu, Y Zhu, X Yang, C Chen, J Xu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023., 2022 | 47 | 2022 |
| Enhancing detail preservation for customized text-to-image generation: A regularization-free approach Y Zhou, R Zhang, T Sun, J Xu arXiv preprint arXiv:2305.13579, 2023 | 41 | 2023 |
| Meta-Learning with Neural Tangent Kernels Y Zhou, Z Wang, J Xian, C Chen, J Xu Ninth International Conference on Learning Representations, ICLR 2021, 2021 | 26 | 2021 |
| Lafite2: Few-shot text-to-image generation Y Zhou, C Li, C Chen, J Gao, J Xu arXiv preprint arXiv:2210.14124, 2022 | 21 | 2022 |
| Tigan: Text-based interactive image generation and manipulation Y Zhou, R Zhang, J Gu, C Tensmeyer, T Yu, C Chen, J Xu, T Sun Proceedings of the AAAI Conference on Artificial Intelligence, AAAI 2022 36 …, 2022 | 20* | 2022 |
| Customization Assistant for Text-to-image Generation Y Zhou, R Zhang, J Gu, T Sun IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024., 2023 | 15 | 2023 |
| Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints J Chen, R Zhang, Y Zhou, C Chen The Twelfth International Conference on Learning Representations, ICLR 2024, 2024 | 10 | 2024 |
| Utilizing a generative neural network to interactively create and modify digital images based on natural language feedback R Zhang, Y Zhou, C Tensmeyer, J Gu, T Yu, T Sun US Patent 12,148,119, 2024 | 9 | 2024 |
| Variational Adversarial Kernel Learned Imitation Learning. F Yang, A Vereshchaka, Y Zhou, C Chen, W Dong The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020 …, 2020 | 9 | 2020 |
| Towards language-free training for text-to-image generation. 2022 IEEE Y Zhou, R Zhang, C Chen, C Li, C Tensmeyer, T Yu, J Gu, J Xu, T Sun CVF conference on computer vision and pattern recognition (CVPR), 17886-17896, 2022 | 8 | 2022 |
| Grounded-videollm: Sharpening fine-grained temporal grounding in video large language models H Wang, Z Xu, Y Cheng, S Diao, Y Zhou, Y Cao, Q Wang, W Ge, L Huang arXiv preprint arXiv:2410.03290, 2024 | 7 | 2024 |
| TRINS: Towards Multimodal Language Models that Can Read R Zhang, Y Zhang, J Chen, Y Zhou, J Gu, C Chen, T Sun CVPR 2024, Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2024 | 7 | 2024 |
| Learning Manifold Implicitly via Explicit Heat-Kernel Learning Y Zhou, C Chen, J Xu Advances in Neural Information Processing Systems, NeurIPS 2020 33, 2020 | 6 | 2020 |
| ARTIST: Improving the Generation of Text-rich Images by Disentanglement J Zhang, Y Zhou, J Gu, C Wigington, T Yu, Y Chen, T Sun, R Zhang IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, 2024 | 5 | 2024 |
| Enhanced visual instruction tuning for text-rich image understanding Y Zhang, R Zhang, J Gu, Y Zhou, N Lipka, D Yang, T Sun | 5 | 2023 |
Chen ChangyouAssociate Professor at University at BuffaloEmail yang diverifikasi di buffalo.edu