Dacheng Chen

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #20,855 of 35,345 by trust here, #12,974 by citations
• Signal Processing — 14 citations into it
• Computer Networks and Communications — 13 citations into it
• Generative Models — 12 citations into it
• Control and Systems Engineering — 9 citations into it; #4,341 of 8,257 by trust here, #3,516 by citations
• Statistics and Probability — 9 citations into it
• Analytical Chemistry — 6 citations into it

Whom Dacheng Chen trusts overall

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

1. Jonathan Goh
2. Individualized Treat
3. Xuewu Dai
4. Thomas Schlegl
5. Aditya P. Mathur
6. Ian T. Jolliffe
7. Hans-Peter Kriegel
8. Aeilko H. Zwinderman
9. Jiawei Han
10. Aleksandar Lazarevic

Who trusts Dacheng Chen overall

1. Niv Cohen
2. Yedid Hoshen
3. Liron Bergman
4. Izhak Golan
5. Ailin Deng
6. Andrew Cook
7. Eunbi Seo
8. Ahmed Abdulaal
9. Zhengwei Wang
10. Murat Sensoy

Papers from Dacheng Chen's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. Improved Techniques for Training GANs
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Generative Moment Matching Networks
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks (2019) — 1,053 citations
• Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series (2018) — 329 citations