57 citations · 194 across the 11 of their papers we have counts for
11 papers
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach
Vishnu Raj, Tianyu Cui, Markus Heinonen +1
Bayesian neural networks (BNNs) can account for both aleatoric and epistemic uncertainty. However, in BNNs the priors are often specified over the weights which rarely reflects tru…
6GAN: IPv6 Multi-Pattern Target Generation via Generative Adversarial Nets with Reinforcement Learning
Tianyu Cui, Gaopeng Gou, Gang Xiong +3
Global IPv6 scanning has always been a challenge for researchers because of the limited network speed and computational power. Target generation algorithms are recently proposed to…
A Comprehensive Study of Accelerating IPv6 Deployment
Tianyu Cui, Chang Liu, Gaopeng Gou +2
Since the lack of IPv6 network development, China is currently accelerating IPv6 deployment. In this scenario, traffic and network structure show a huge shift. However, due to the…
SiamHAN: IPv6 Address Correlation Attacks on TLS Encrypted Traffic via Siamese Heterogeneous Graph Attention Network
Tianyu Cui, Gaopeng Gou, Gang Xiong +3
Unlike IPv4 addresses, which are typically masked by a NAT, IPv6 addresses could easily be correlated with user activity, endangering their privacy. Mitigations to address this pri…
6GCVAE: Gated Convolutional Variational Autoencoder for IPv6 Target Generation
Tianyu Cui, Gaopeng Gou, Gang Xiong
IPv6 scanning has always been a challenge for researchers in the field of network measurement. Due to the considerable IPv6 address space, while recent network speed and computatio…
Deconfounded Representation Similarity for Comparison of Neural Networks
Tianyu Cui, Yogesh Kumar, Pekka Marttinen +1
Similarity metrics such as representational similarity analysis (RSA) and centered kernel alignment (CKA) have been used to compare layer-wise representations between neural networ…
Revealing spatio-temporal interaction patterns behind complex cities
Chenxin Liu, Yu Yang, Bingsheng Chen +4
Cities are typical dynamic complex systems that connect people and facilitate interactions. Revealing universal collective patterns behind spatio-temporal interactions between resi…
6VecLM: Language Modeling in Vector Space for IPv6 Target Generation
Tianyu Cui, Gang Xiong, Gaopeng Gou +2
Fast IPv6 scanning is challenging in the field of network measurement as it requires exploring the whole IPv6 address space but limited by current computational power. Researchers…
Informative Bayesian Neural Network Priors for Weak Signals
Tianyu Cui, Aki Havulinna, Pekka Marttinen +1
Encoding domain knowledge into the prior over the high-dimensional weight space of a neural network is challenging but essential in applications with limited data and weak signals.…
Learning Global Pairwise Interactions with Bayesian Neural Networks
Tianyu Cui, Pekka Marttinen, Samuel Kaski
Estimating global pairwise interaction effects, i.e., the difference between the joint effect and the sum of marginal effects of two input features, with uncertainty properly quant…
Correlations and Clustering in Wholesale Electricity Markets
Tianyu Cui, Francesco Caravelli, Cozmin Ududec
We study the structure of locational marginal prices in day-ahead and real-time wholesale electricity markets. In particular, we consider the case of two North American markets and…