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Ruocheng Guo
Ruocheng Guo
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Tytuł
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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
5472020
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
3022023
Causal Interpretability for Machine Learning--Problems, Methods and Evaluation
R Moraffah, M Karami, R Guo, A Raglin, H Liu
ACM SIGKDD Explorations Newsletter, 2020
2802020
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
1372020
Large language models for data annotation: A survey
Z Tan, A Beigi, S Wang, R Guo, A Bhattacharjee, B Jiang, M Karami, J Li, ...
arXiv e-prints, arXiv: 2402.13446, 2024
1162024
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
1142019
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
1002015
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
962022
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
902020
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
812021
Diffusion in social networks
P Shakarian, A Bhatnagar, A Aleali, E Shaabani, R Guo
Springer International Publishing, 2015
812015
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
792022
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
712022
CLEAR: Generative Counterfactual Explanations on Graphs
J Ma, R Guo, S Mishra, A Zhang, J Li
Advances in Neural Information Processing Systems (NeurIPS), 2022
692022
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
642022
AutoMLP: Automated MLP for Sequential Recommendations
M Li, Z Zhang, X Zhao, W Wang, M Zhao, R Wu, R Guo
Proceedings of the ACM Web Conference 2023, 2023
542023
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
542019
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
532020
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
512018
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
472019
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