Yangguang Li
Orcid: 0000-0003-3096-6159
According to our database1,
Yangguang Li
authored at least 44 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Enhancing nighttime light remote Sensing: Introducing the nighttime light background value (NLBV) for urban applications.
Int. J. Appl. Earth Obs. Geoinformation, February, 2024
Impacts of COVID-19 on urban networks: Evidence from a novel approach of flow measurement based on nighttime light data.
Comput. Environ. Urban Syst., January, 2024
Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers.
CoRR, 2023
CoRR, 2023
EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion.
CoRR, 2023
CoRR, 2023
2022
Evaluating the Ability of NOAA-20 Monthly Composite Data for Socioeconomic Indicators Estimation and Urban Area Extraction.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
R<sup>2</sup>F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference.
CoRR, 2022
1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022).
CoRR, 2022
Democratizing Contrastive Language-Image Pre-training: A CLIP Benchmark of Data, Model, and Supervision.
CoRR, 2022
SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Binary Dense Predictors for Human Pose Estimation Based on Dynamic Thresholds and Filtering.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
2020
Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform: An AIOps Solution.
ACM Trans. Softw. Eng. Methodol., 2020
2019
Assessing and optimizing the performance impact of the just-in-time configuration parameters - a case study on PyPy.
Empir. Softw. Eng., 2019
Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019
2018
Estimating and Analyzing the Spatiotemporal Pattern of Aboveground Carbon in Bamboo Forest by Combining Remote Sensing Data and Improved BIOME-BGC Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Spatiotemporal Estimation of Bamboo Forest Aboveground Carbon Storage Based on Landsat Data in Zhejiang, China.
Remote. Sens., 2018
2017
Depth map super-resolution via low-resolution depth guided joint trilateral up-sampling.
J. Vis. Commun. Image Represent., 2017
2014
Proceedings of the 2014 IEEE Visual Communications and Image Processing Conference, 2014
2013
Proceedings of the Web Science 2013 (co-located with ECRC), 2013