Tian Guo

Publication Activity (10 Years)

Years Active: 2012-2020
Publications (10 Years): 18

Top Topics

Autoregressive Moving Average

Top Venues

Publications

Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin
Low-dimensional statistical manifold embedding of directed graphs. ICLR (2020)
Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin
Sensing Social Media Signals for Cryptocurrency News. WWW (Companion Volume) (2019)
Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin
Statistical embedding for directed graphs. CoRR (2019)
Tian Guo, Tao Lin, Nino Antulov-Fantulin
Exploring interpretable LSTM neural networks over multi-variable data. ICML (2019)
Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin
Sensing Social Media Signals for Cryptocurrency News. CoRR (2019)
Tian Guo, Tao Lin, Nino Antulov-Fantulin
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data. CoRR (2019)
Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin
Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings. ICDM Workshops (2018)
Tian Guo, Tao Lin
Multi-variable LSTM neural network for autoregressive exogenous model. CoRR (2018)
Tian Guo, Nino Antulov-Fantulin
Predicting short-term Bitcoin price fluctuations from buy and sell orders. CoRR (2018)
Tian Guo, Tao Lin, Yao Lu
An interpretable LSTM neural network for autoregressive exogenous model. ICLR (Workshop) (2018)
Tian Guo, Tao Lin, Yao Lu
An interpretable LSTM neural network for autoregressive exogenous model. CoRR (2018)
Tian Guo, Albert Bifet, Nino Antulov-Fantulin
Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders. ICDM (2018)
Tao Lin, Tian Guo, Karl Aberer
Hybrid Neural Networks for Learning the Trend in Time Series. IJCAI (2017)
Hao Zhuang, Rameez Rahman, Xia Hu, Tian Guo, Pan Hui, Karl Aberer
Data Summarization with Social Contexts. CIKM (2016)
Tian Guo, Konstantin Kutzkov, Mohamed Ahmed, Jean-Paul Calbimonte, Karl Aberer
Efficient Distributed Decision Trees for Robust Regression. ECML/PKDD (2) (2016)
Tian Guo, Karl Aberer
A Distributed Mining Framework for Influence in Evolving Entities. EDBT (2016)
Tian Guo, Zhao Xu, Xin Yao, Haifeng Chen, Karl Aberer, Koichi Funaya
Robust Online Time Series Prediction with Recurrent Neural Networks. DSAA (2016)
Tian Guo, Jean-Paul Calbimonte, Karl Aberer
Distributed Mining and Modeling of Dynamic Lead-Lag Relations in Evolving Entities. ICDM Workshops (2016)
Tian Guo, Jean-Paul Calbimonte, Hao Zhuang, Karl Aberer
SigCO: Mining significant correlations via a distributed real-time computation engine. IEEE BigData (2015)
Tian Guo, Saket Sathe, Karl Aberer
Fast Distributed Correlation Discovery Over Streaming Time-Series Data. CIKM (2015)
Tian Guo, Thanasis G. Papaioannou, Hao Zhuang, Karl Aberer
Online Indexing and Distributed Querying Model-View Sensor Data in the Cloud. DASFAA (1) (2014)
Tian Guo, Thanasis G. Papaioannou, Karl Aberer
Efficient Indexing and Query Processing of Model-View Sensor Data in the Cloud. Big Data Res. 1 (2014)
Tian Guo, Thanasis G. Papaioannou, Karl Aberer
Model-view sensor data management in the cloud. IEEE BigData (2013)
Tian Guo, Zhixian Yan, Karl Aberer
An adaptive approach for online segmentation of multi-dimensional mobile data. MobiDE (2012)