Xiaotie Deng
Artificial Intelligence · IEEE Annual Symposium on Foundations of Computer Science · 2006–2016
A researcher in the Science corpus: 9 papers; trusts 43 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 54 citations into it; #16,940 of 35,345 by trust here, #15,866 by citations
- Management Science and Operations Research — 38 citations into it; #6,324 of 11,946 by trust here, #1,904 by citations
- Economics and Econometrics — 23 citations into it; #13,982 of 23,481 by trust here, #11,156 by citations
- Computer Vision and Pattern Recognition — 17 citations into it
- Electrical and Electronic Engineering — 11 citations into it; #15,558 of 16,539 by trust here, #14,827 by citations
- Finance — 11 citations into it
- Natural Language Processing — 11 citations into it
- Game & Decision Theory — 9 citations into it
Whom Xiaotie Deng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Constantinos Daskalakis
- Robert P. Schumaker
- Lijuan Cao
- Christos H. Papadimitriou
- Robi Polikar
- Teuvo Kohonen
- Yossi Rubner
- Mohammad Norouzi
- Hsinchun Chen
- Radford M. Neal
Who trusts Xiaotie Deng overall
Papers from Xiaotie Deng's perspective
Ordered by how strongly the researchers Xiaotie Deng trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Settling the Complexity of Two-Player Nash Equilibrium (2006) — 651 citations
- Settling the complexity of computing two-player Nash equilibria (2007) — 664 citations
- News impact on stock price return via sentiment analysis (2014) — 487 citations
- Empirical analysis: stock market prediction via extreme learning machine (2014) — 161 citations
- Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information (2014) — 64 citations
- Fast Nearest Neighbor Search in the Hamming Space (2016) — 17 citations
- Exploiting Topic based Twitter Sentiment for Stock Prediction (2013) — 272 citations
- Internet and Network Economics, Third International Workshop, WINE 2007, San Diego, CA, USA, December 12-14, 2007, Proceedings (2007) — 316 citations
- Detecting Phishing Web Pages with Visual Similarity Assessment Based on Earth Mover's Distance (EMD) (2006) — 355 citations