6 citations · 31 across the 8 of their papers we have counts for
8 papers
Extending Isolation Forest for Anomaly Detection in Big Data via K-Means
Md Tahmid Rahman Laskar, Jimmy Huang, Vladan Smetana +5
Industrial Information Technology (IT) infrastructures are often vulnerable to cyberattacks. To ensure security to the computer systems in an industrial environment, it is required…
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning
Xing Zhao, Aijun An, Junfeng Liu +1
Deep learning is a popular machine learning technique and has been applied to many real-world problems. However, training a deep neural network is very time-consuming, especially o…
dynnode2vec: Scalable Dynamic Network Embedding
Sedigheh Mahdavi, Shima Khoshraftar, Aijun An
Network representation learning in low dimensional vector space has attracted considerable attention in both academic and industrial domains. Most real-world networks are dynamic w…
Using Neural Network for Identifying Clickbaits in Online News Media
Amin Omidvar, Hui Jiang, Aijun An
Online news media sometimes use misleading headlines to lure users to open the news article. These catchy headlines that attract users but disappointed them at the end, are called…
Spontaneous Symmetry Breaking in Neural Networks
Ricky Fok, Aijun An, Xiaogang Wang
We propose a framework to understand the unprecedented performance and robustness of deep neural networks using field theory. Correlations between the weights within the same layer…
Optimization assisted MCMC
Ricky Fok, Aijun An, Xiaogang Wang
Markov Chain Monte Carlo (MCMC) sampling methods are widely used but often encounter either slow convergence or biased sampling when applied to multimodal high dimensional distribu…