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Ruocheng Guo
Ruocheng Guo
Bytedance AI Lab, London
Verified email at bytedance.com - Homepage
Title
Cited by
Cited by
Year
A survey of learning causality with data: Problems and methods
R Guo, L Cheng, J Li, PR Hahn, H Liu
ACM Computing Surveys (CSUR) 53 (4), 1-37, 2020
2172020
Causal Interpretability for Machine Learning--Problems, Methods and Evaluation
R Moraffah, M Karami, R Guo, A Raglin, H Liu
ACM SIGKDD Explorations Newsletter, 2020
982020
Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network
L Cheng, R Guo, Y Silva, D Hall, H Liu
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
682019
Diffusion in social networks
P Shakarian, A Bhatnagar, A Aleali, E Shaabani, R Guo
Springer International Publishing, 2015
542015
Learning Individual Causal Effects from Networked Observational Data
R Guo, J Li, H Liu
Proceedings of the 13th ACM International Conference on Web Search and Data …, 2019
512019
The independent cascade and linear threshold models
P Shakarian, A Bhatnagar, A Aleali, E Shaabani, R Guo
Diffusion in Social Networks, 35-48, 2015
492015
Privacy-aware recommendation with private-attribute protection using adversarial learning
G Beigi, A Mosallanezhad, R Guo, H Alvari, A Nou, H Liu
Proceedings of the 13th International Conference on Web Search and Data …, 2020
422020
Debiasing Grid-based Product Search in E-commerce
R Guo, X Zhao, A Henderson, L Hong, H Liu
ACM SIGKDD 2020, 2020
272020
Adaptive unsupervised feature selection on attributed networks
J Li, R Guo, C Liu, H Liu
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
272019
Protecting user privacy: An approach for untraceable web browsing history and unambiguous user profiles
G Beigi, R Guo, A Nou, Y Zhang, H Liu
Proceedings of the twelfth ACM international conference on web search and …, 2019
272019
Multi-level network embedding with boosted low-rank matrix approximation
J Li, L Wu, R Guo, C Liu, H Liu
Proceedings of the 2019 IEEE/ACM international conference on advances in …, 2019
252019
Robust cyberbullying detection with causal interpretation
L Cheng, R Guo, H Liu
Companion Proceedings of The 2019 World Wide Web Conference, 169-175, 2019
232019
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process
R Guo, J Li, H Liu
IJCAI, 2191-2197, 2018
232018
Using network motifs to characterize temporal network evolution leading to diffusion inhibition
S Sarkar, R Guo, P Shakarian
Social Network Analysis and Mining 9 (1), 1-24, 2019
222019
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
V Rakesh, R Guo, R Moraffah, N Agarwal, H Liu
ACM International Conference on Information and Knowledge Management, 1679-1682, 2018
222018
Privacy preserving text representation learning
G Beigi, K Shu, R Guo, S Wang, H Liu
Proceedings of the 30th ACM Conference on Hypertext and Social Media, 275-276, 2019
202019
Adversarial machine learning: An interpretation perspective
N Liu, M Du, R Guo, H Liu, X Hu
ACM SIGKDD Explorations Newsletter, 2021
19*2021
Detecting pathogenic social media accounts without content or network structure
E Shaabani, R Guo, P Shakarian
2018 1st International Conference on Data Intelligence and Security (ICDIS …, 2018
192018
I am not what i write: Privacy preserving text representation learning
G Beigi, K Shu, R Guo, S Wang, H Liu
arXiv preprint arXiv:1907.03189, 2019
172019
Toward order-of-magnitude cascade prediction
R Guo, E Shaabani, A Bhatnagar, P Shakarian
Proceedings of the 2015 IEEE/ACM international conference on Advances in …, 2015
172015
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