Tian Guo

According to our database, Tian Guo authored at least 21 papers between 2012 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Low-dimensional statistical manifold embedding of directed graphs.

Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Statistical embedding for directed graphs.

Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin

CoRR, 2019

Sensing Social Media Signals for Cryptocurrency News.

Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Exploring interpretable LSTM neural networks over multi-variable data.

Tian Guo, Tao Lin, Nino Antulov-Fantulin

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Multi-variable LSTM neural network for autoregressive exogenous model.

Tian Guo, Tao Lin

CoRR, 2018

Predicting short-term Bitcoin price fluctuations from buy and sell orders.

Tian Guo, Nino Antulov-Fantulin

CoRR, 2018

An interpretable LSTM neural network for autoregressive exogenous model.

Tian Guo, Tao Lin, Yao Lu

Proceedings of the 6th International Conference on Learning Representations, 2018

Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings.

Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders.

Tian Guo, Albert Bifet, Nino Antulov-Fantulin

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Hybrid Neural Networks for Learning the Trend in Time Series.

Tao Lin, Tian Guo, Karl Aberer

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Efficient Distributed Decision Trees for Robust Regression.

Tian Guo, Konstantin Kutzkov, Mohamed Ahmed, Jean-Paul Calbimonte, Karl Aberer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Distributed Mining and Modeling of Dynamic Lead-Lag Relations in Evolving Entities.

Tian Guo, Jean-Paul Calbimonte, Karl Aberer

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

A Distributed Mining Framework for Influence in Evolving Entities.

Tian Guo, Karl Aberer

Proceedings of the 19th International Conference on Extending Database Technology, 2016

Robust Online Time Series Prediction with Recurrent Neural Networks.

Tian Guo, Zhao Xu, Xin Yao, Haifeng Chen, Karl Aberer, Koichi Funaya

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Data Summarization with Social Contexts.

Hao Zhuang, Rameez Rahman, Xia Hu, Tian Guo, Pan Hui, Karl Aberer

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Fast Distributed Correlation Discovery Over Streaming Time-Series Data.

Tian Guo, Saket Sathe, Karl Aberer

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

SigCO: Mining significant correlations via a distributed real-time computation engine.

Tian Guo, Jean-Paul Calbimonte, Hao Zhuang, Karl Aberer

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Efficient Indexing and Query Processing of Model-View Sensor Data in the Cloud.

Tian Guo, Thanasis G. Papaioannou, Karl Aberer

Big Data Res., 2014

Online Indexing and Distributed Querying Model-View Sensor Data in the Cloud.

Tian Guo, Thanasis G. Papaioannou, Hao Zhuang, Karl Aberer

Proceedings of the Database Systems for Advanced Applications, 2014

2013

Model-view sensor data management in the cloud.

Tian Guo, Thanasis G. Papaioannou, Karl Aberer

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

An adaptive approach for online segmentation of multi-dimensional mobile data.

Tian Guo, Zhixian Yan, Karl Aberer

Proceedings of the Eleventh ACM International Workshop on Data Engineering for Wireless and Mobile Access, 2012