Ruocheng Guo

According to our database, Ruocheng Guo authored at least 80 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data.

Qiang Huang, Jing Ma, Jundong Li, Ruocheng Guo, Huiyan Sun, Yi Chang

ACM Trans. Knowl. Discov. Data, April, 2024

Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media.

Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu

CoRR, 2024

Large Language Models for Data Annotation: A Survey.

Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu

CoRR, 2024

Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation.

Xinjian Zhao, Liang Zhang, Yang Liu, Ruocheng Guo, Xiangyu Zhao

CoRR, 2024

Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction.

Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Kay Liu, Philip S. Yu

CoRR, 2024

EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems.

Sheng Zhang, Maolin Wang, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao, Zijian Zhang, Hongzhi Yin

CoRR, 2024

Cumulative Distribution Function based General Temporal Point Processes.

Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu

CoRR, 2024

2023

Causal Disentanglement for Implicit Recommendations with Network Information.

Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, Kasim Selçuk Candan

ACM Trans. Knowl. Discov. Data, 2023

Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup.

Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao

CoRR, 2023

Embedding in Recommender Systems: A Survey.

Xiangyu Zhao, Maolin Wang, Xinjian Zhao, Jiansheng Li, Shucheng Zhou, Dawei Yin, Qing Li, Jiliang Tang, Ruocheng Guo

CoRR, 2023

Fair Classifiers that Abstain without Harm.

Tongxin Yin, Jean-François Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu

CoRR, 2023

Deep Concept Removal.

Yegor Klochkov, Jean-Francois Ton, Ruocheng Guo, Yang Liu, Hang Li

CoRR, 2023

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment.

Yang Liu, Yuanshun Yao, Jean-Francois Ton, Xiaoying Zhang, Ruocheng Guo, Hao Cheng, Yegor Klochkov, Muhammad Faaiz Taufiq, Hang Li

CoRR, 2023

Fair Learning to Rank with Distribution-free Risk Control.

Ruocheng Guo, Jean-François Ton, Yang Liu

CoRR, 2023

Tensorized Hypergraph Neural Networks.

Maolin Wang, Yaoming Zhen, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao

CoRR, 2023

AutoMLP: Automated MLP for Sequential Recommendations.

Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo

Proceedings of the ACM Web Conference 2023, 2023

What Boosts Fake News Dissemination on Social Media? A Causal Inference View.

Yichuan Li, Kyumin Lee, Nima Kordzadeh, Ruocheng Guo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Equal Opportunity of Coverage in Fair Regression.

Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S. Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Debiasing Recommendation by Learning Identifiable Latent Confounders.

Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Virtual Node Tuning for Few-shot Node Classification.

Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems.

Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning for Counterfactual Fairness from Observational Data.

Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.

Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao

Proceedings of the IEEE International Conference on Data Mining, 2023

Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance.

Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Evaluation Methods and Measures for Causal Learning Algorithms.

Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu

IEEE Trans. Artif. Intell., 2022

Causal Disentanglement with Network Information for Debiased Recommendations.

Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, K. Selçuk Candan

CoRR, 2022

A Simple Yet Effective Pretraining Strategy for Graph Few-shot Learning.

Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu

CoRR, 2022

Accurate identification of bacteriophages from metagenomic data using Transformer.

Jiayu Shang, Xubo Tang, Ruocheng Guo, Yanni Sun

Briefings Bioinform., 2022

Graph Few-shot Class-incremental Learning.

Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Learning Fair Node Representations with Graph Counterfactual Fairness.

Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Causal Mediation Analysis with Hidden Confounders.

Lu Cheng, Ruocheng Guo, Huan Liu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies.

Lu Cheng, Ruocheng Guo, Huan Liu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Causal Disentanglement with Network Information for Debiased Recommendations.

Paras Sheth, Ruocheng Guo, Kaize Ding, Lu Cheng, K. Selçuk Candan, Huan Liu

Proceedings of the Similarity Search and Applications - 15th International Conference, 2022

Supervised Graph Contrastive Learning for Few-Shot Node Classification.

Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

CLEAR: Generative Counterfactual Explanations on Graphs.

Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MLP4Rec: A Pure MLP Architecture for Sequential Recommendations.

Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication.

Lu Cheng, Ruocheng Guo, Kasim Selçuk Candan, Huan Liu

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective.

Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2022

Distributional Shift Adaptation using Domain-Specific Features.

Anique Tahir, Lu Cheng, Ruocheng Guo, Huan Liu

Proceedings of the IEEE International Conference on Big Data, 2022

Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks.

Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks.

Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu

Trans. Data Sci., 2021

Adversarial Attacks and Defenses: An Interpretation Perspective.

Ninghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, Xia Hu

SIGKDD Explor., 2021

A Survey of Learning Causality with Data: Problems and Methods.

Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu

ACM Comput. Surv., 2021

Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix.

Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman

CoRR, 2021

Deconfounding with Networked Observational Data in a Dynamic Environment.

Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li

Proceedings of the WSDM '21, 2021

Long-Term Effect Estimation with Surrogate Representation.

Lu Cheng, Ruocheng Guo, Huan Liu

Proceedings of the WSDM '21, 2021

Causal Understanding of Fake News Dissemination on Social Media.

Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Multi-Cause Effect Estimation with Disentangled Confounder Representation.

Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods.

Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu, K. Selçuk Candan

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Measuring Time-Constrained Influence to Predict Adoption in Online Social Networks.

Ericsson Marin, Ruocheng Guo, Paulo Shakarian

ACM Trans. Soc. Comput., 2020

Causal Interpretability for Machine Learning - Problems, Methods and Evaluation.

Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu

SIGKDD Explor., 2020

Towards Causal Understanding of Fake News Dissemination.

Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu

CoRR, 2020

Learning Individual Causal Effects from Networked Observational Data.

Ruocheng Guo, Jundong Li, Huan Liu

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning.

Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data.

Ruocheng Guo, Jundong Li, Huan Liu

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Representation Learning for Imbalanced Cross-Domain Classification.

Lu Cheng, Ruocheng Guo, K. Selçuk Candan, Huan Liu

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Debiasing Grid-based Product Search in E-commerce.

Ruocheng Guo, Xiaoting Zhao, Adam Henderson, Liangjie Hong, Huan Liu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data.

Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Using network motifs to characterize temporal network evolution leading to diffusion inhibition.

Soumajyoti Sarkar, Ruocheng Guo, Paulo Shakarian

Soc. Netw. Anal. Min., 2019

I Am Not What I Write: Privacy Preserving Text Representation Learning.

Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, Huan Liu

CoRR, 2019

Learning Individual Treatment Effects from Networked Observational Data.

Ruocheng Guo, Jundong Li, Huan Liu

CoRR, 2019

Robust Cyberbullying Detection with Causal Interpretation.

Lu Cheng, Ruocheng Guo, Huan Liu

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles.

Ghazaleh Beigi, Ruocheng Guo, Alexander Nou, Yanchao Zhang, Huan Liu

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network.

Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Adaptive Unsupervised Feature Selection on Attributed Networks.

Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Privacy Preserving Text Representation Learning.

Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, Huan Liu

Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019

Causal Learning in Question Quality Improvement.

Yichuan Li, Ruocheng Guo, Weiying Wang, Huan Liu

Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

A Practical Data Repository for Causal Learning with Big Data.

Lu Cheng, Ruocheng Guo, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu

Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

Multi-level network embedding with boosted low-rank matrix approximation.

Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Strongly Hierarchical Factorization Machines and ANOVA Kernel Regression.

Ruocheng Guo, Hamidreza Alvari, Paulo Shakarian

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process.

Ruocheng Guo, Jundong Li, Huan Liu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Detecting Pathogenic Social Media Accounts without Content or Network Structure.

Elham Shaabani, Ruocheng Guo, Paulo Shakarian

Proceedings of the 1st International Conference on Data Intelligence and Security, 2018

Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Understanding and forecasting lifecycle events in information cascades.

Soumajyoti Sarkar, Ruocheng Guo, Paulo Shakarian

Soc. Netw. Anal. Min., 2017

Temporal Analysis of Influence to Predict Users' Adoption in Online Social Networks.

Ericsson Marin, Ruocheng Guo, Paulo Shakarian

Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

2016

Toward early and order-of-magnitude cascade prediction in social networks.

Ruocheng Guo, Elham Shaabani, Abhinav Bhatnagar, Paulo Shakarian

Soc. Netw. Anal. Min., 2016

An empirical evaluation of social influence metrics.

Nikhil Kumar, Ruocheng Guo, Ashkan Aleali, Paulo Shakarian

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

A comparison of methods for cascade prediction.

Ruocheng Guo, Paulo Shakarian

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

Diffusion in Social Networks

Paulo Shakarian, Abhinav Bhatnagar, Ashkan Aleali, Elham Shaabani, Ruocheng Guo

Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-23105-1, 2015

Toward Order-of-Magnitude Cascade Prediction.

Ruocheng Guo, Elham Shaabani, Abhinav Bhatnagar, Paulo Shakarian

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015