Zhiwei Jin
Sociology and Political Science · 2016–2018
A researcher in the Science corpus: 4 papers; trusts 60 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 35 citations into it; #4,534 of 22,756 by trust here, #5,006 by citations
- Information Systems — 28 citations into it; #2,422 of 8,771 by trust here, #2,604 by citations
- Artificial Intelligence — 26 citations into it; #34,389 of 35,345 by trust here, #23,077 by citations
- Statistical and Nonlinear Physics — 25 citations into it; #3,378 of 10,127 by trust here, #4,439 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Natural Language Processing — 14 citations into it
- Model Architectures — 9 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Zhiwei Jin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Manish Gupta
- David G. Lowe
- Karen Simonyan
- Carlos Castillo
- Sejeong Kwon
- Geoffrey E. Hinton
- Tomas Mikolov
- Yoshua Bengio
- Ilya Sutskever
- Gregor Heinrich
Who trusts Zhiwei Jin overall
- Kai Shu
- Xinyi Zhou
- Xinyi Zhou
- Reza Zafarani
- Dhruv Khattar
- Juan Cao
- Suhang Wang
- Yang Wu
- Jaipal Singh Goud
- Shengsheng Qian
Papers from Zhiwei Jin's perspective
Ordered by how strongly the researchers Zhiwei Jin 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection (2018) — 1,234 citations
- News Verification by Exploiting Conflicting Social Viewpoints in Microblogs (2016) — 396 citations
- Novel Visual and Statistical Image Features for Microblogs News Verification (2017) — 417 citations
- Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs (2017) — 810 citations