| Minigpt-4: Enhancing vision-language understanding with advanced large language models D Zhu, J Chen, X Shen, X Li, M Elhoseiny International Conference on Learning Representations 2024, 2023 | 1217 | 2023 |
| Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation X Li, L Peng, X Yao, S Cui, Y Hu, C You, T Chi Environmental pollution 231, 997-1004, 2017 | 570 | 2017 |
| A novel spatiotemporal convolutional long short-term neural network for air pollution prediction C Wen, S Liu, X Yao, L Peng, X Li, Y Hu, T Chi Science of the total environment 654, 1091-1099, 2019 | 366 | 2019 |
| Deep learning architecture for air quality predictions X Li, L Peng, Y Hu, J Shao, T Chi Environmental Science and Pollution Research 23, 22408-22417, 2016 | 329 | 2016 |
| Minigpt-v2: large language model as a unified interface for vision-language multi-task learning J Chen, D Zhu, X Shen, X Li, Z Liu, P Zhang, R Krishnamoorthi, ... arXiv preprint arXiv:2310.09478, 2023 | 200 | 2023 |
| Few-shot object detection on remote sensing images X Li#, J Deng#, Y Fang IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021 | 175 | 2021 |
| Directionally constrained fully convolutional neural network for airborne LiDAR point cloud classification C Wen, L Yang, X Li*, L Peng, T Chi ISPRS journal of photogrammetry and remote sensing 162, 50-62, 2020 | 102 | 2020 |
| Building-a-nets: Robust building extraction from high-resolution remote sensing images with adversarial networks X Li, X Yao, Y Fang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 85 | 2018 |
| Airborne LiDAR point cloud classification with global-local graph attention convolution neural network C Wen, X Li, X Yao, L Peng, T Chi ISPRS Journal of Photogrammetry and Remote Sensing 173, 181-194, 2021 | 79 | 2021 |
| Dynamic feature fusion for semantic edge detection Y Hu, Y Chen, X Li, J Feng Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 70 | 2019 |
| A novel evolution tree for analyzing the global energy consumption structure Y Hu, L Peng, X Li, X Yao, H Lin, T Chi Energy 147, 1177-1187, 2018 | 62 | 2018 |
| Dynamic monitoring of the largest freshwater lake in China using a new water index derived from high spatiotemporal resolution Sentinel-1A data H Tian, W Li, M Wu, N Huang, G Li, X Li, Z Niu Remote Sensing 9 (6), 521, 2017 | 58 | 2017 |
| A sample update-based convolutional neural network framework for object detection in large-area remote sensing images Y Hu, X Li, N Zhou, L Yang, L Peng, S Xiao IEEE Geoscience and Remote Sensing Letters 16 (6), 947-951, 2019 | 53 | 2019 |
| DANCE-NET: Density-aware convolution networks with context encoding for airborne LiDAR point cloud classification X Li, L Wang, M Wang, C Wen, Y Fang ISPRS Journal of Photogrammetry and Remote Sensing 166, 128-139, 2020 | 51 | 2020 |
| Non-rigid point set registration networks L Wang, J Chen, X Li, Y Fang arXiv preprint arXiv:1904.01428, 2019 | 43 | 2019 |
| Height estimation from single aerial images using a deep ordinal regression network X Li, M Wang, Y Fang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 38 | 2020 |
| Cross-Safe: A computer vision-based approach to make all intersection-related pedestrian signals accessible for the visually impaired X Li, H Cui, JR Rizzo, E Wong, Y Fang Advances in Computer Vision: Proceedings of the 2019 Computer Vision …, 2020 | 37 | 2020 |
| Arbicon-net: Arbitrary continuous geometric transformation networks for image registration J Chen, L Wang, X Li, Y Fang Advances in neural information processing systems 32, 2019 | 29 | 2019 |
| Rsgpt: A remote sensing vision language model and benchmark Y Hu, J Yuan, C Wen, X Lu, X Li* arXiv preprint arXiv:2307.15266, 2023 | 28 | 2023 |
| Few-shot learning of part-specific probability space for 3D shape segmentation L Wang#, X Li#, Y Fang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 28 | 2020 |
Yi FangAssociate Professor of NYU Abu Dhabi and NYU Tandon在 nyu.edu 的电子邮件经过验证
