Tian Guo

24 papers A* 4A 2B 2Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2020 A* conf
Low-dimensional statistical manifold embedding of directed graphs.
ICLR
Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin
2019 J jnl
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data.
CoRR
Tian Guo, Tao Lin, Nino Antulov-Fantulin
2019 A* conf
Exploring interpretable LSTM neural networks over multi-variable data.
ICML
Tian Guo, Tao Lin, Nino Antulov-Fantulin
2019 — conf
Sensing Social Media Signals for Cryptocurrency News.
WWW (Companion Volume)
Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin
2019 J jnl
Sensing Social Media Signals for Cryptocurrency News.
CoRR
Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin
2019 J jnl
Statistical embedding for directed graphs.
CoRR
Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin
2018 — conf
An interpretable LSTM neural network for autoregressive exogenous model.
ICLR (Workshop)
Tian Guo, Tao Lin, Yao Lu
2018 J jnl
An interpretable LSTM neural network for autoregressive exogenous model.
CoRR
Tian Guo, Tao Lin, Yao Lu
2018 A* conf
Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders.
ICDM
Tian Guo, Albert Bifet, Nino Antulov-Fantulin
2018 — conf
Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings.
ICDM Workshops
Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin
2018 J jnl
Multi-variable LSTM neural network for autoregressive exogenous model.
CoRR
Tian Guo, Tao Lin
2018 J jnl
Predicting short-term Bitcoin price fluctuations from buy and sell orders.
CoRR
Tian Guo, Nino Antulov-Fantulin
2017 A* conf
Hybrid Neural Networks for Learning the Trend in Time Series.
IJCAI
Tao Lin, Tian Guo, Karl Aberer
2016 B conf
A Distributed Mining Framework for Influence in Evolving Entities.
EDBT
Tian Guo, Karl Aberer
2016 A conf
Data Summarization with Social Contexts.
CIKM
Hao Zhuang, Rameez Rahman, Xia Hu, Tian Guo, Pan Hui, Karl Aberer
2016 — conf
Distributed Mining and Modeling of Dynamic Lead-Lag Relations in Evolving Entities.
ICDM Workshops
Tian Guo, Jean-Paul Calbimonte, Karl Aberer
2016 — conf
Efficient Distributed Decision Trees for Robust Regression.
ECML/PKDD (2)
Tian Guo, Konstantin Kutzkov, Mohamed Ahmed, Jean-Paul Calbimonte, Karl Aberer
2016 B conf
Robust Online Time Series Prediction with Recurrent Neural Networks.
DSAA
Tian Guo, Zhao Xu, Xin Yao, Haifeng Chen, Karl Aberer, Koichi Funaya
2015 A conf
Fast Distributed Correlation Discovery Over Streaming Time-Series Data.
CIKM
Tian Guo, Saket Sathe, Karl Aberer
2015 — conf
SigCO: Mining significant correlations via a distributed real-time computation engine.
IEEE BigData
Tian Guo, Jean-Paul Calbimonte, Hao Zhuang, Karl Aberer
2014 J jnl
Efficient Indexing and Query Processing of Model-View Sensor Data in the Cloud.
Big Data Res.
Tian Guo, Thanasis G. Papaioannou, Karl Aberer
2014 — conf
Online Indexing and Distributed Querying Model-View Sensor Data in the Cloud.
DASFAA (1)
Tian Guo, Thanasis G. Papaioannou, Hao Zhuang, Karl Aberer
2013 — conf
Model-view sensor data management in the cloud.
IEEE BigData
Tian Guo, Thanasis G. Papaioannou, Karl Aberer
2012 — conf
An adaptive approach for online segmentation of multi-dimensional mobile data.
MobiDE
Tian Guo, Zhixian Yan, Karl Aberer