Get started
Author

Ruocheng Guo

A Survey of Learning Causality with Data
2020 · Ruocheng Guo, Lu Cheng, et al. · ACM Computing Surveys · 366
PDF
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation
2020 · Raha Moraffah, Mansooreh Karami, et al. · ACM SIGKDD Explorations Newsletter · 239
PDF
Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network
2019 · Lu Cheng, Ruocheng Guo, et al. · Society for Industrial and Applied Mathematics eBooks · 95
PDF
Learning Individual Causal Effects from Networked Observational Data
2020 · Ruocheng Guo, Jundong Li, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 90
PDF
Learning Fair Node Representations with Graph Counterfactual Fairness
2022 · Jing Ma, Ruocheng Guo, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 82
PDF
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning
2020 · Ghazaleh Beigi, Ahmadreza Mosallanezhad, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 82
PDF
The Independent Cascade and Linear Threshold Models
2015 · Paulo Shakarian, Abhinav Bhatnagar, et al. · SpringerBriefs in computer science · 81
Evaluation Methods and Measures for Causal Learning Algorithms
2022 · Lu Cheng, Ruocheng Guo, et al. · IEEE Transactions on Artificial Intelligence · 76
PDF
Causal Understanding of Fake News Dissemination on Social Media
2021 · Lu Cheng, Ruocheng Guo, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 71
PDF
AutoMLP: Automated MLP for Sequential Recommendations
2023 · Muyang Li, Zijian Zhang, et al. · International World Wide Web Conference (WWW) · 65
PDF
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations
2022 · Muyang Li, Xiangyu Zhao, et al. · International Joint Conference on Artificial Intelligence · 63
PDF
Accurate identification of bacteriophages from metagenomic data using Transformer
2022 · Jiayu Shang, Xubo Tang, et al. · Briefings in Bioinformatics · 63
PDF
Diffusion in Social Networks
2015 · Paulo Shakarian, Abhivav Bhatnagar, et al. · SpringerBriefs in computer science · 61
Adaptive Unsupervised Feature Selection on Attributed Networks
2019 · Jundong Li, Ruocheng Guo, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 60
PDF
Graph Few-shot Class-incremental Learning
2022 · Zhen Tan, Kaize Ding, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 52
SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations
2023 · Jingtong Gao, Xiangyu Zhao, et al. · ACM Transactions on Information Systems · 50
PDF
Adversarial Attacks and Defenses
2021 · Ninghao Liu, Mengnan Du, et al. · ACM SIGKDD Explorations Newsletter · 47
PDF
Embedding in Recommender Systems: A Survey
2026 · Maolin Wang, Xinjian Zhao, et al. · ACM Transactions on Information Systems · 44
Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks
2021 · Lu Cheng, Ruocheng Guo, et al. · ACM/IMS Transactions on Data Science · 43
PDF
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
2018 · Vineeth Rakesh, Ruocheng Guo, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 38
PDF
Multi-level network embedding with boosted low-rank matrix approximation
2019 · Jundong Li, Liang Wu, et al. · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · 37
PDF
Debiasing Grid-based Product Search in E-commerce
2020 · Ruocheng Guo, Xiaoting Zhao, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 36
Protecting User Privacy
2019 · Ghazaleh Beigi, Ruocheng Guo, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 36
Deconfounding with Networked Observational Data in a Dynamic Environment
2021 · Jing Ma, Ruocheng Guo, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 32
Privacy Preserving Text Representation Learning
2019 · Ghazaleh Beigi, Kai Shu, et al. · ACM Conference on Hypertext and Social Media (HT) · 32
Works count: 117
Citation count: 2,519
H-index: 26
I10-index: 52
Year
Topic
Type