Jing Ma

Sociology and Political Science · Annual Meeting of the Association for Computational Linguistics · 2015–2019

A researcher in the Science corpus: 6 papers; trusts 50 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Sociology and Political Science — 52 citations into it; #2,356 of 22,756 by trust here, #5,006 by citations
• Artificial Intelligence — 42 citations into it; #13,897 of 35,345 by trust here, #18,186 by citations
• Organizational Behavior and Human Resource Management — 30 citations into it
• Statistical and Nonlinear Physics — 28 citations into it; #8,009 of 10,127 by trust here, #3,513 by citations
• Information Systems — 26 citations into it; #2,614 of 8,771 by trust here, #3,761 by citations
• Natural Language Processing — 15 citations into it
• Model Architectures — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Jing Ma trusts overall

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

1. Richard Socher
2. Sejeong Kwon
3. Carlos Castillo
4. Alex Graves
5. Sepp Hochreiter
6. Yoshua Bengio
7. Geoffrey E. Hinton
8. John C. Duchi
9. Kyunghyun Cho
10. Wei Gao

Who trusts Jing Ma overall

1. Yi-Ju Lu
2. Tian Bian
3. Ramy Baly
4. Wei Gao
5. Karishma Sharma
6. Alessandro Bondielli
7. Natali Ruchansky
8. Yang Liu
9. Xinyi Zhou
10. Georgi Karadzhov

Papers from Jing Ma's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis (2019) — 55 citations
• Detect Rumors Using Time Series of Social Context Information on Microblogging Websites (2015) — 672 citations
• Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning (2017) — 642 citations
• Rumor Detection on Twitter with Tree-structured Recursive Neural Networks (2018) — 596 citations
• Motivating frontline employees: Role of job characteristics in work and life satisfaction (2016) — 121 citations
• Detecting Rumors from Microblogs with Recurrent Neural Networks (2016) — 1,331 citations