Shixia Liu
Computer Vision and Pattern Recognition · 2010–2017
A researcher in the Science corpus: 12 papers; trusts 167 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 136 citations into it; #5,027 of 21,575 by trust here, #4,834 by citations
- Artificial Intelligence — 74 citations into it; #9,373 of 35,345 by trust here, #10,065 by citations
- Signal Processing — 40 citations into it; #4,955 of 7,572 by trust here, #4,373 by citations
- Sociology and Political Science — 38 citations into it
- Statistical and Nonlinear Physics — 31 citations into it; #6,004 of 10,127 by trust here, #3,172 by citations
- Information Systems — 12 citations into it
- Computational Theory and Mathematics — 10 citations into it
- Computer Graphics and Computer-Aided Design — 10 citations into it
Whom Shixia Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Weiwei Cui
- Yuzuru Tanahashi
- Geoffrey E. Hinton
- Yingcai Wu
- Catherine Plaisant
- Jean-Daniel Fekete
- Kwan-Liu Ma
- Tamara Munzner
- Alex Krizhevsky
- Mengchen Liu
Who trusts Shixia Liu overall
- Mengchen Liu
- Guodao Sun
- Yingcai Wu
- Alfredo Vellido
- Weiwei Cui
- Giulia Vilone
- Jiaxin Shi
- Yao Ming
- Yuzuru Tanahashi
- Panpan Xu
Papers from Shixia Liu's perspective
Ordered by how strongly the researchers Shixia Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
Their papers
- Towards Better Analysis of Deep Convolutional Neural Networks (2016) — 514 citations
- EvoRiver: Visual Analysis of Topic Coopetition on Social Media (2014) — 135 citations
- Context preserving dynamic word cloud visualization (2010) — 318 citations
- Towards better analysis of machine learning models: A visual analytics perspective (2017) — 396 citations
- An Uncertainty-Aware Approach for Exploratory Microblog Retrieval (2015) — 63 citations
- Online Visual Analytics of Text Streams (2015) — 82 citations
- A survey on information visualization: recent advances and challenges (2014) — 385 citations
- How Hierarchical Topics Evolve in Large Text Corpora (2014) — 146 citations
- StoryFlow: Tracking the Evolution of Stories (2013) — 239 citations
- A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges (2013) — 205 citations
- Visual Analysis of Topic Competition on Social Media (2013) — 153 citations
- TextFlow: Towards Better Understanding of Evolving Topics in Text (2011) — 426 citations