An adaptive approach for online segmentation of multi-dimensional mobile data. - Tian Guo 002; Zhixian Yan; Karl Aberer (MobiDE, 2012)

Model-view sensor data management in the cloud. - Tian Guo 002; Thanasis G. Papaioannou; Karl Aberer (IEEE BigData, 2013)

Online Indexing and Distributed Querying Model-View Sensor Data in the Cloud. - Tian Guo 002; Thanasis G. Papaioannou; Hao Zhuang 002; Karl Aberer (DASFAA (1), 2014)

Efficient Indexing and Query Processing of Model-View Sensor Data in the Cloud. - Tian Guo 002; Thanasis G. Papaioannou; Karl Aberer (Big Data Res., 2014)

SigCO: Mining significant correlations via a distributed real-time computation engine. - Tian Guo 002; Jean-Paul Calbimonte; Hao Zhuang 002; Karl Aberer (IEEE BigData, 2015)

Fast Distributed Correlation Discovery Over Streaming Time-Series Data. - Tian Guo 002; Saket Sathe 001; Karl Aberer (CIKM, 2015)

Data Summarization with Social Contexts. - Hao Zhuang 002; Rameez Rahman; Xia Hu 001; Tian Guo 002; Pan Hui 001; Karl Aberer (CIKM, 2016)

Robust Online Time Series Prediction with Recurrent Neural Networks. - Tian Guo 002; Zhao Xu 001; Xin Yao 001; Haifeng Chen; Karl Aberer; Koichi Funaya (DSAA, 2016)

A Distributed Mining Framework for Influence in Evolving Entities. - Tian Guo 002; Karl Aberer (EDBT, 2016)

Distributed Mining and Modeling of Dynamic Lead-Lag Relations in Evolving Entities. - Tian Guo 002; Jean-Paul Calbimonte; Karl Aberer (ICDM Workshops, 2016)

Efficient Distributed Decision Trees for Robust Regression. - Tian Guo 002; Konstantin Kutzkov; Mohamed Ahmed 001; Jean-Paul Calbimonte; Karl Aberer (ECML/PKDD (2), 2016)

Hybrid Neural Networks for Learning the Trend in Time Series. - Tao Lin 004; Tian Guo 002; Karl Aberer (IJCAI, 2017)

Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders. - Tian Guo 002; Albert Bifet; Nino Antulov-Fantulin (ICDM, 2018)

Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings. - Vaibhav Krishna; Tian Guo 002; Nino Antulov-Fantulin (ICDM Workshops, 2018)

An interpretable LSTM neural network for autoregressive exogenous model. - Tian Guo 002; Tao Lin 004; Yao Lu (ICLR (Workshop), 2018)

Predicting short-term Bitcoin price fluctuations from buy and sell orders. - Tian Guo 002; Nino Antulov-Fantulin (CoRR, 2018)

Multi-variable LSTM neural network for autoregressive exogenous model. - Tian Guo 002; Tao Lin 004 (CoRR, 2018)

Exploring interpretable LSTM neural networks over multi-variable data. - Tian Guo 002; Tao Lin 004; Nino Antulov-Fantulin (ICML, 2019)

Sensing Social Media Signals for Cryptocurrency News. - Johannes Beck; Roberta Huang; David Lindner; Tian Guo 002; Ce Zhang 001; Dirk Helbing; Nino Antulov-Fantulin (WWW (Companion Volume), 2019)

Statistical embedding for directed graphs. - Thorben Funke; Tian Guo 002; Alen Lancic; Nino Antulov-Fantulin (CoRR, 2019)

Low-dimensional statistical manifold embedding of directed graphs. - Thorben Funke; Tian Guo 002; Alen Lancic; Nino Antulov-Fantulin (ICLR, 2020)