Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDRuocheng Guo
Person information
- affiliation: Arizona State University, Tempe, AZ, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2021
[i21]Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman:
Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix. CoRR abs/2101.07732 (2021)- [i20]Lu Cheng, Ruocheng Guo, Huan Liu:
Causal Mediation Analysis with Hidden Confounders. CoRR abs/2102.11724 (2021) - 2020
- [j6]Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu:
A Survey of Learning Causality with Data: Problems and Methods. ACM Comput. Surv. 53(4): 75:1-75:37 (2020) - [j5]Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu:
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. SIGKDD Explor. 22(1): 18-33 (2020) - [j4]Ericsson Marin, Ruocheng Guo, Paulo Shakarian:
Measuring Time-Constrained Influence to Predict Adoption in Online Social Networks. ACM Trans. Soc. Comput. 3(3): 13:1-13:26 (2020) - [c22]Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data. IJCAI 2020: 4534-4540 - [c21]Ruocheng Guo, Xiaoting Zhao, Adam Henderson, Liangjie Hong, Huan Liu:
Debiasing Grid-based Product Search in E-commerce. KDD 2020: 2852-2860 - [c20]Ruocheng Guo, Jundong Li, Huan Liu:
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data. SDM 2020: 271-279 - [c19]Lu Cheng, Ruocheng Guo, K. Selçuk Candan, Huan Liu:
Representation Learning for Imbalanced Cross-Domain Classification. SDM 2020: 478-486 - [c18]Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu:
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning. WSDM 2020: 34-42 - [c17]Ruocheng Guo, Jundong Li, Huan Liu:
Learning Individual Causal Effects from Networked Observational Data. WSDM 2020: 232-240 - [i19]Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu:
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. CoRR abs/2003.03934 (2020) - [i18]Lu Cheng, Ruocheng Guo, Huan Liu:
Long-Term Effect Estimation with Surrogate Representation. CoRR abs/2008.08236 (2020) - [i17]Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu:
Towards Causal Understanding of Fake News Dissemination. CoRR abs/2010.10580 (2020)
2010 – 2019
- 2019
- [j3]Soumajyoti Sarkar
, Ruocheng Guo, Paulo Shakarian:
Using network motifs to characterize temporal network evolution leading to diffusion inhibition. Soc. Netw. Anal. Min. 9(1): 14:1-14:24 (2019) - [c16]Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu:
Multi-level network embedding with boosted low-rank matrix approximation. ASONAM 2019: 49-56 - [c15]Yichuan Li, Ruocheng Guo, Weiying Wang, Huan Liu:
Causal Learning in Question Quality Improvement. Bench 2019: 204-214 - [c14]Lu Cheng, Ruocheng Guo, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
A Practical Data Repository for Causal Learning with Big Data. Bench 2019: 234-248 - [c13]Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, Huan Liu:
Privacy Preserving Text Representation Learning. HT 2019: 275-276 - [c12]Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu:
Adaptive Unsupervised Feature Selection on Attributed Networks. KDD 2019: 92-100 - [c11]Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network. SDM 2019: 235-243 - [c10]Ghazaleh Beigi, Ruocheng Guo, Alexander Nou, Yanchao Zhang, Huan Liu:
Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles. WSDM 2019: 213-221 - [c9]Lu Cheng, Ruocheng Guo, Huan Liu:
Robust Cyberbullying Detection with Causal Interpretation. WWW (Companion Volume) 2019: 169-175 - [i16]Soumajyoti Sarkar, Ruocheng Guo, Paulo Shakarian:
Using network motifs to characterize temporal network evolution leading to diffusion inhibition. CoRR abs/1903.00862 (2019) - [i15]Elham Shaabani, Ruocheng Guo, Paulo Shakarian:
Detecting Pathogenic Social Media Accounts without Content or Network Structure. CoRR abs/1905.01556 (2019) - [i14]Ruocheng Guo, Jundong Li, Huan Liu:
Learning Individual Treatment Effects from Networked Observational Data. CoRR abs/1906.03485 (2019) - [i13]Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, Huan Liu:
I Am Not What I Write: Privacy Preserving Text Representation Learning. CoRR abs/1907.03189 (2019) - [i12]Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu:
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning. CoRR abs/1911.09872 (2019) - [i11]Ruocheng Guo, Jundong Li, Huan Liu:
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data. CoRR abs/1912.10536 (2019) - 2018
- [c8]Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu:
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. CIKM 2018: 1679-1682 - [c7]Elham Shaabani, Ruocheng Guo, Paulo Shakarian:
Detecting Pathogenic Social Media Accounts without Content or Network Structure. ICDIS 2018: 57-64 - [c6]Ruocheng Guo, Jundong Li, Huan Liu:
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process. IJCAI 2018: 2191-2197 - [c5]Ruocheng Guo, Hamidreza Alvari, Paulo Shakarian:
Strongly Hierarchical Factorization Machines and ANOVA Kernel Regression. SDM 2018: 729-737 - [i10]Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu:
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. CoRR abs/1808.03333 (2018) - [i9]Soumajyoti Sarkar, Ruocheng Guo, Paulo Shakarian:
Understanding and forecasting lifecycle events in information cascades. CoRR abs/1809.06050 (2018) - [i8]Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu:
A Survey of Learning Causality with Data: Problems and Methods. CoRR abs/1809.09337 (2018) - [i7]Ghazaleh Beigi, Ruocheng Guo, Alexander Nou, Yanchao Zhang, Huan Liu:
Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles. CoRR abs/1811.09340 (2018) - 2017
- [j2]Soumajyoti Sarkar, Ruocheng Guo, Paulo Shakarian:
Understanding and forecasting lifecycle events in information cascades. Soc. Netw. Anal. Min. 7(1): 55:1-55:22 (2017) - [c4]Ericsson Marin, Ruocheng Guo, Paulo Shakarian:
Temporal Analysis of Influence to Predict Users' Adoption in Online Social Networks. SBP-BRiMS 2017: 254-261 - [i6]Ericsson Marin, Ruocheng Guo, Paulo Shakarian:
Temporal Analysis of Influence to Predict Users' Adoption in Online Social Networks. CoRR abs/1705.02399 (2017) - [i5]Ruocheng Guo, Hamidreza Alvari, Paulo Shakarian:
Strongly Hierarchical Factorization Machines and ANOVA Kernel Regression. CoRR abs/1712.09133 (2017) - 2016
- [j1]Ruocheng Guo, Elham Shaabani, Abhinav Bhatnagar, Paulo Shakarian:
Toward early and order-of-magnitude cascade prediction in social networks. Soc. Netw. Anal. Min. 6(1): 64:1-64:18 (2016) - [c3]Ruocheng Guo, Paulo Shakarian:
A comparison of methods for cascade prediction. ASONAM 2016: 591-598 - [c2]Nikhil Kumar, Ruocheng Guo, Ashkan Aleali, Paulo Shakarian:
An empirical evaluation of social influence metrics. ASONAM 2016: 1329-1336 - [i4]Ruocheng Guo, Paulo Shakarian:
A Comparison of Methods for Cascade Prediction. CoRR abs/1606.05730 (2016) - [i3]Nikhil Kumar, Ruocheng Guo, Ashkan Aleali, Paulo Shakarian:
An Empirical Evaluation Of Social Influence Metrics. CoRR abs/1607.00720 (2016) - [i2]Ruocheng Guo, Elham Shaabani, Abhinav Bhatnagar, Paulo Shakarian:
Toward Early and Order-of-Magnitude Cascade Prediction in Social Networks. CoRR abs/1608.02646 (2016) - 2015
- [b1]Paulo Shakarian, Abhinav Bhatnagar, Ashkan Aleali, Elham Shaabani, Ruocheng Guo:
Diffusion in Social Networks. Springer Briefs in Computer Science, Springer 2015, ISBN 978-3-319-23104-4, pp. 1-101 - [c1]Ruocheng Guo, Elham Shaabani, Abhinav Bhatnagar, Paulo Shakarian:
Toward Order-of-Magnitude Cascade Prediction. ASONAM 2015: 1610-1613 - [i1]Ruocheng Guo, Elham Shaabani, Abhinav Bhatnagar, Paulo Shakarian:
Toward Order-of-Magnitude Cascade Prediction. CoRR abs/1508.03371 (2015)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
Tweets on dblp homepage
Show tweets from 
on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. At the same time, Twitter will persistently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2021-02-25 23:25 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
the dblp computer science bibliography is funded by:
