| Visual instruction tuning H Liu, C Li, Q Wu, YJ Lee NeurIPS, 2023 | 3242 | 2023 |
| Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks X Li, X Yin, C Li, X Hu, P Zhang, L Zhang, L Wang, H Hu, L Dong, F Wei, ... European Conference on Computer Vision (ECCV), 2020 | 2201* | 2020 |
| Grounding dino: Marrying dino with grounded pre-training for open-set object detection S Liu, Z Zeng, T Ren, F Li, H Zhang, J Yang, C Li, J Yang, H Su, J Zhu, ... arXiv preprint arXiv:2303.05499, 2023 | 1106 | 2023 |
| Improved baselines with visual instruction tuning H Liu, C Li, Y Li, YJ Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1036 | 2024 |
| Variational Autoencoder for Deep Learning of Images, Labels and Captions Y Pu, Z Gan, R Henao, X Yuan, C Li, A Stevens, L Carin Neural Information Processing Systems (NIPS), 2016 | 994 | 2016 |
| Grounded Language-Image Pre-training LH Li, P Zhang, H Zhang, J Yang, C Li, Y Zhong, L Wang, L Yuan, ... CVPR, 2022 | 942 | 2022 |
| Florence: A new foundation model for computer vision L Yuan, D Chen, YL Chen, N Codella, X Dai, J Gao, H Hu, X Huang, B Li, ... arXiv preprint arXiv:2111.11432, 2021 | 844 | 2021 |
| Instruction tuning with gpt-4 B Peng, C Li, P He, M Galley, J Gao arXiv preprint arXiv:2304.03277, 2023 | 687 | 2023 |
| Focal self-attention for local-global interactions in vision transformers J Yang, C Li, P Zhang, X Dai, B Xiao, L Yuan, J Gao arXiv preprint arXiv:2107.00641, 2021 | 598* | 2021 |
| Joint Embedding of Words and Labels for Text Classification G Wang, C Li, W Wang, Y Zhang, D Shen, X Zhang, R Henao, L Carin Annual Meeting of the Association for Computational Linguistics (ACL), 2018 | 529 | 2018 |
| Mimic-it: Multi-modal in-context instruction tuning B Li, Y Zhang, L Chen, J Wang, F Pu, J Yang, C Li, Z Liu arXiv preprint arXiv:2306.05425, 2023 | 516 | 2023 |
| RegionCLIP: Region-based Language-Image Pretraining Y Zhong, J Yang, P Zhang, C Li, N Codella, LH Li, L Zhou, X Dai, L Yuan, ... CVPR, 2022 | 485 | 2022 |
| Gligen: Open-set grounded text-to-image generation Y Li, H Liu, Q Wu, F Mu, J Yang, J Gao, C Li, YJ Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 462 | 2023 |
| Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms D Shen, G Wang, W Wang, MR Min, Q Su, Y Zhang, C Li, R Henao, ... Annual Meeting of the Association for Computational Linguistics (ACL), 2018 | 447 | 2018 |
| Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing H Fu, C Li, X Liu, J Gao, A Celikyilmaz, L Carin NAACL, 2019 | 428 | 2019 |
| Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks C Li, C Chen, D Carlson, L Carin AAAI Conference on Artificial Intelligence, 2016 | 388 | 2016 |
| Measuring the intrinsic dimension of objective landscapes C Li, H Farkhoor, R Liu, J Yosinski arXiv preprint arXiv:1804.08838, 2018 | 385 | 2018 |
| Llava-med: Training a large language-and-vision assistant for biomedicine in one day C Li, C Wong, S Zhang, N Usuyama, H Liu, J Yang, T Naumann, H Poon, ... NeurIPS, 2023 | 373 | 2023 |
| Soloist: Few-shot task-oriented dialog with a single pretrained auto-regressive model B Peng, C Li, J Li, S Shayandeh, L Liden, J Gao arXiv preprint arXiv:2005.05298 3, 2020 | 318* | 2020 |
| Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning R Zhang, C Li, J Zhang, C Chen, AG Wilson International Conference on Learning Representations (ICLR), 2020 | 317 | 2020 |
Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
