Xia Li

Computer Vision and Pattern Recognition · European Physical Journal C: Particles and Fields · 2000–2022

A researcher in the Science corpus: 25 papers; trusts 704 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 185 citations into it; #12,952 of 21,575 by trust here, #5,236 by citations
• Artificial Intelligence — 113 citations into it
• Global and Planetary Change — 46 citations into it; #949 of 10,225 by trust here, #3,335 by citations
• Model Architectures — 37 citations into it
• Economics and Econometrics — 30 citations into it
• Evaluation & Benchmarks — 17 citations into it
• Optimization & Training — 14 citations into it
• Biophysics — 7 citations into it

Whom Xia Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yoshua Bengio
7. Ilya Sutskever
8. Yann LeCun
9. Shaoqing Ren
10. Karen Simonyan

Who trusts Xia Li overall

1. Peter H. Verburg
2. M. H. Saputra
3. Ruoteng Li
4. Ralf Wieland
5. I. Reginster
6. José I. Barredo
7. Rajeev Yasarla
8. Meng-Hao Guo
9. Xiaoping Liu
10. Yichun Xie

Papers from Xia Li's perspective

Ordered by how strongly the researchers Xia Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Expectation-Maximization Attention Networks for Semantic Segmentation (2019) — 645 citations
• Improving Semantic Segmentation via Decoupled Body and Edge Supervision (2020) — 308 citations
• SOGNet: Scene Overlap Graph Network for Panoptic Segmentation (2019) — 64 citations
• Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining (2018) — 892 citations
• Modelling sustainable urban development by the integration of constrained cellular automata and GIS (2000) — 709 citations
• Tet2 is required to resolve inflammation by recruiting Hdac2 to specifically repress IL-6 (2015) — 736 citations
• CellMarker 2.0: an updated database of manually curated cell markers in human/mouse and web tools based on scRNA-seq data (2022) — 1,025 citations
• Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022 (2021) — 890 citations
• Global projections of future urban land expansion under shared socioeconomic pathways (2020) — 750 citations
• Quasi-Dense Similarity Learning for Multiple Object Tracking (2020) — 488 citations
• Performance of the ATLAS muon triggers in Run 2 (2020) — 358 citations
• Projecting global urban land expansion and heat island intensification through 2050 (2019) — 358 citations
• One thousand plant transcriptomes and the phylogenomics of green plants (2019) — 1,332 citations
• Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method (2018) — 441 citations
• Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2 (2017) — 222 citations
• Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model (2017) — 458 citations
• A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects (2017) — 1,511 citations
• Jet reconstruction and performance using particle flow with the ATLAS Detector (2017) — 408 citations
• Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1 (2016) — 412 citations
• Luminosity determination in pp collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sqrt{s}$$\end{document}s (2016) — 235 citations