Yang Xiang
Artificial Intelligence · IEEE Transactions on Information Forensics and Security · 2011–2022
A researcher in the Science corpus: 14 papers; trusts 113 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 244 citations into it; #30,292 of 35,345 by trust here, #11,624 by citations
- Computer Networks and Communications — 134 citations into it; #8,328 of 9,886 by trust here, #2,424 by citations
- Signal Processing — 113 citations into it
- Information Systems — 111 citations into it
- Software — 82 citations into it
- Computer Vision and Pattern Recognition — 51 citations into it
- Natural Language Processing — 47 citations into it
- Control and Systems Engineering — 37 citations into it
Whom Yang Xiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Tomas Mikolov
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- Animesh Patcha
- Kaiming He
- Richard S. Sutton
Who trusts Yang Xiang overall
Papers from Yang Xiang's perspective
Ordered by how strongly the researchers Yang Xiang 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- DRN: A Deep Reinforcement Learning Framework for News Recommendation (2018) — 748 citations
- A review: Knowledge reasoning over knowledge graph (2020) — 956 citations
- Fuzzing: A Survey for Roadmap (2022) — 345 citations
- Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey (2022) — 321 citations
- Software Vulnerability Detection Using Deep Neural Networks: A Survey (2020) — 400 citations
- A Survey of Android Malware Detection with Deep Neural Models (2020) — 298 citations
- A survey on security control and attack detection for industrial cyber-physical systems (2018) — 842 citations
- Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection (2018) — 296 citations
- Detecting and Preventing Cyber Insider Threats: A Survey (2018) — 341 citations
- Adversaries or allies? Privacy and deep learning in big data era (2018) — 27 citations
- Robust Network Traffic Classification (2015) — 359 citations
- Network Traffic Classification Using Correlation Information (2013) — 335 citations
- Low-Rate DDoS Attacks Detection and Traceback by Using New Information Metrics (2011) — 413 citations
- Cloud security defence to protect cloud computing against HTTP-DoS and XML-DoS attacks (2011) — 311 citations