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ORCIDTian Guo 0002
Person information
- affiliation: EPFL, Lausanne, Switzerland
- affiliation: ETH Zurich, Switzerland
Other persons with the same name
- Tian Guo — disambiguation page
- Tian Guo 0001
![[0000-0003-0060-2266]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0060-2266")
— Worcester Polytechnic Institute, Worcester, MA, USA (and 1 more) - Tian Guo 0003 — Wuhan University of Science and Technology, Wuhan, China
- Tian Guo 0004 — Beijing University of Posts and Telecommunications, China
- Tian Guo 0005 — Southwest University, Chongqing, China
- Tian Guo 0006 — Hanyang University, Department of Electrical Engineering, Ansan, South Korea (and 1 more)
- Tian Guo 0007 — Purdue University, National Soil Erosion Research Laboratory, West Lafayette, IN, USA (and 1 more)
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2020 – today
- 2020
[c17]Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin:
Low-dimensional statistical manifold embedding of directed graphs. ICLR 2020
2010 – 2019
- 2019
- [c16]Tian Guo, Tao Lin, Nino Antulov-Fantulin:
Exploring interpretable LSTM neural networks over multi-variable data. ICML 2019: 2494-2504 - [c15]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: 1051-1054 - [i6]Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin:
Sensing Social Media Signals for Cryptocurrency News. CoRR abs/1903.11451 (2019) - [i5]Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin:
Statistical embedding for directed graphs. CoRR abs/1905.10227 (2019) - [i4]Tian Guo, Tao Lin, Nino Antulov-Fantulin:
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data. CoRR abs/1905.12034 (2019) - 2018
- [c14]Tian Guo, Albert Bifet, Nino Antulov-Fantulin:
Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders. ICDM 2018: 989-994 - [c13]Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin:
Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings. ICDM Workshops 2018: 1289-1293 - [c12]Tian Guo, Tao Lin, Yao Lu:
An interpretable LSTM neural network for autoregressive exogenous model. ICLR (Workshop) 2018 - [i3]Tian Guo, Nino Antulov-Fantulin:
Predicting short-term Bitcoin price fluctuations from buy and sell orders. CoRR abs/1802.04065 (2018) - [i2]Tian Guo, Tao Lin, Yao Lu:
An interpretable LSTM neural network for autoregressive exogenous model. CoRR abs/1804.05251 (2018) - [i1]Tian Guo, Tao Lin:
Multi-variable LSTM neural network for autoregressive exogenous model. CoRR abs/1806.06384 (2018) - 2017
- [c11]Tao Lin, Tian Guo, Karl Aberer:
Hybrid Neural Networks for Learning the Trend in Time Series. IJCAI 2017: 2273-2279 - 2016
- [c10]Hao Zhuang, Rameez Rahman, Xia Hu, Tian Guo, Pan Hui, Karl Aberer:
Data Summarization with Social Contexts. CIKM 2016: 397-406 - [c9]Tian Guo, Zhao Xu, Xin Yao, Haifeng Chen, Karl Aberer, Koichi Funaya:
Robust Online Time Series Prediction with Recurrent Neural Networks. DSAA 2016: 816-825 - [c8]Tian Guo, Karl Aberer:
A Distributed Mining Framework for Influence in Evolving Entities. EDBT 2016: 678-679 - [c7]Tian Guo, Jean-Paul Calbimonte, Karl Aberer:
Distributed Mining and Modeling of Dynamic Lead-Lag Relations in Evolving Entities. ICDM Workshops 2016: 45-52 - [c6]Tian Guo, Konstantin Kutzkov, Mohamed Ahmed, Jean-Paul Calbimonte, Karl Aberer:
Efficient Distributed Decision Trees for Robust Regression. ECML/PKDD (2) 2016: 79-95 - 2015
- [c5]Tian Guo, Jean-Paul Calbimonte, Hao Zhuang, Karl Aberer:
SigCO: Mining significant correlations via a distributed real-time computation engine. IEEE BigData 2015: 747-756 - [c4]Tian Guo, Saket Sathe, Karl Aberer:
Fast Distributed Correlation Discovery Over Streaming Time-Series Data. CIKM 2015: 1161-1170 - 2014
- [j1]Tian Guo, Thanasis G. Papaioannou, Karl Aberer:
Efficient Indexing and Query Processing of Model-View Sensor Data in the Cloud. Big Data Res. 1: 52-65 (2014) - [c3]Tian Guo, Thanasis G. Papaioannou, Hao Zhuang, Karl Aberer:
Online Indexing and Distributed Querying Model-View Sensor Data in the Cloud. DASFAA (1) 2014: 28-46 - 2013
- [c2]Tian Guo, Thanasis G. Papaioannou, Karl Aberer:
Model-view sensor data management in the cloud. IEEE BigData 2013: 282-290 - 2012
- [c1]Tian Guo, Zhixian Yan, Karl Aberer:
An adaptive approach for online segmentation of multi-dimensional mobile data. MobiDE 2012: 7-14
Coauthor Index
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