Ruocheng Guo

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Huan LiuRegents Professor, Arizona State UniversityDirección de correo verificada de asu.edu
Lu ChengAssistant Professor, UIC CSDirección de correo verificada de uic.edu
Jundong LiAssistant Professor, University of VirginiaDirección de correo verificada de virginia.edu
Paulo ShakarianArizona State UniversityDirección de correo verificada de asu.edu
Elham ShaabaniWalmart LabsDirección de correo verificada de asu.edu
Abhinav BhatnagarArizona State UniversityDirección de correo verificada de asu.edu
Ashkan AlealiArizona State UniversityDirección de correo verificada de asu.edu
K. Selcuk CandanProfessor of Computer Science and Engineering, Arizona State UniversityDirección de correo verificada de asu.edu
Jing MaCase Western Reserve UniversityDirección de correo verificada de case.edu
Raha MoraffahAssistant Professor of Computer Science, WPIDirección de correo verificada de wpi.edu
Zhen TanArizona State UniversityDirección de correo verificada de asu.edu
Jean-Francois TonByteDance ResearchDirección de correo verificada de bytedance.com
Aidong Zhang, Fellow of ACM, IEEE, a...Thomas M. Linville Professor of Computer Science, University of VirginiaDirección de correo verificada de virginia.edu
Ghazaleh BeigiPh.D. Student at Arizona State UniversityDirección de correo verificada de asu.edu
Kaize DingAssistant Professor of Stats & Data Science, Northwestern UniversityDirección de correo verificada de northwestern.edu
Yang LiuComputer Science and Engineering, UC Santa CruzDirección de correo verificada de ucsc.edu
Kai ShuAssistant Professor of Computer Science, Illinois Institute of TechnologyDirección de correo verificada de iit.edu
Mansooreh KaramiMicrosoftDirección de correo verificada de microsoft.com
Paras ShethPhD student, Arizona State UniversityDirección de correo verificada de asu.edu
P. Richard HahnArizona State UniversityDirección de correo verificada de asu.edu

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Ruocheng Guo

ByteDance Research, London

Dirección de correo verificada de bytedance.com - Página principal

Causal Inference Conformal Prediction LLMs Recommender Systems Graph ML


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	463	2020
Causal Interpretability for Machine Learning--Problems, Methods and Evaluation R Moraffah, M Karami, R Guo, A Raglin, H Liu ACM SIGKDD Explorations Newsletter, 2020	235	2020
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Y Liu, Y Yao, JF Ton, X Zhang, R Guo, H Cheng, Y Klochkov, MF Taufiq, ... arXiv preprint arXiv:2308.05374, 2023	147	2023
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 …, 2020	110	2020
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	102	2019
The independent cascade and linear threshold models P Shakarian, A Bhatnagar, A Aleali, E Shaabani, R Guo, P Shakarian, ... Diffusion in social networks, 35-48, 2015	82	2015
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	81	2020
Diffusion in social networks P Shakarian, A Bhatnagar, A Aleali, E Shaabani, R Guo Springer International Publishing, 2015	80	2015
Learning Fair Node Representations with Graph Counterfactual Fairness J Ma, R Guo, M Wan, L Yang, A Zhang, J Li Proceedings of the 15th ACM International Conference on Web Search and Data …, 2022	78	2022
Causal understanding of fake news dissemination on social media L Cheng, R Guo, K Shu, H Liu Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021	64	2021
Evaluation methods and measures for causal learning algorithms L Cheng, R Guo, R Moraffah, P Sheth, KS Candan, H Liu IEEE Transactions on Artificial Intelligence 3 (6), 924-943, 2022	58	2022
Graph Few-shot Class-incremental Learning Z Tan, K Ding, R Guo, H Liu Proceedings of the 15th ACM International Conference on Web Search and Data …, 2022	54	2022
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations M Li, X Zhao, C Lyu, M Zhao, R Wu, R Guo International Joint Conference on Artificial Intelligence (IJCAI), 2022	47	2022
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	47	2019
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	47	2019
Debiasing grid-based product search in e-commerce R Guo, X Zhao, A Henderson, L Hong, H Liu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	44	2020
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process R Guo, J Li, H Liu Proceedings of the 27th International Joint Conference on Artificial …, 2018	44	2018
CLEAR: Generative Counterfactual Explanations on Graphs J Ma, R Guo, S Mishra, A Zhang, J Li Advances in Neural Information Processing Systems (NeurIPS), 2022	43	2022
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	41	2019
Deconfounding with networked observational data in a dynamic environment J Ma, R Guo, C Chen, A Zhang, J Li Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021	40	2021

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