Ruocheng Guo

2026

doi dblp
Workshop on Benchmarking Causal Models (CausalBench).
K. Selcuk Candan|Huan Liu|Ruocheng Guo|Paras Sheth
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026
doi dblp
Report on the Workshop on Benchmarking Causal Models (CausalBench) 2026.
K. Selçuk Candan|Ruocheng Guo|Huan Liu|Paras Sheth
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM Companion 2026, Boise Centre, Boise, ID, USA, February 22-26, 2026
doi dblp
SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation.
Maolin Wang|Tongshu Bian|Ziyan Wang|Xiaotong Jiang|Binhao Wang|Derong Xu|Wanyu Wang|Ruocheng Guo|Xiangyu Zhao
Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.

2025

doi dblp
SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation.
Binhao Wang|Yutian Xiao|Maolin Wang|Zhiqi Li|Tianshuo Wei|Ruocheng Guo|Xiangyu Zhao
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
doi dblp
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation.
Maolin Wang|Sheng Zhang|Ruocheng Guo|Wanyu Wang|Xuetao Wei|Zitao Liu|Hongzhi Yin|Yi Chang|Xiangyu Zhao
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

2024

doi dblp
SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations.
Jingtong Gao|Xiangyu Zhao|Muyang Li|Minghao Zhao|Runze Wu|Ruocheng Guo|Yiding Liu|Dawei Yin
ACM Transactions on Information Systems (TOIS) 2024 Volume 42 Issue 3
doi dblp
Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation.
Maolin Wang|Yao Zhao|Jiajia Liu|Jingdong Chen|Chenyi Zhuang|Jinjie Gu|Ruocheng Guo|Xiangyu Zhao
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2023

doi dblp
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, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

doi dblp
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies.
Lu Cheng|Ruocheng Guo|Huan Liu
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
doi dblp
Causal Mediation Analysis with Hidden Confounders.
Lu Cheng|Ruocheng Guo|Huan Liu
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
doi dblp
Learning Fair Node Representations with Graph Counterfactual Fairness.
Jing Ma|Ruocheng Guo|Mengting Wan|Longqi Yang|Aidong Zhang|Jundong Li
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
doi dblp
Graph Few-shot Class-incremental Learning.
Zhen Tan|Kaize Ding|Ruocheng Guo|Huan Liu
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

2021

doi dblp
CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods.
Paras Sheth|Ujun Jeong|Ruocheng Guo|Huan Liu|K. Selçuk Candan
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
doi dblp
Long-Term Effect Estimation with Surrogate Representation.
Lu Cheng|Ruocheng Guo|Huan Liu
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021
doi dblp
Deconfounding with Networked Observational Data in a Dynamic Environment.
Jing Ma|Ruocheng Guo|Chen Chen|Aidong Zhang|Jundong Li
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

2020

doi dblp
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning.
Ghazaleh Beigi|Ahmadreza Mosallanezhad|Ruocheng Guo|Hamidreza Alvari|Alexander Nou|Huan Liu
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020
doi dblp
Learning Individual Causal Effects from Networked Observational Data.
Ruocheng Guo|Jundong Li|Huan Liu
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

2019

doi dblp
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, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019
doi dblp
Robust Cyberbullying Detection with Causal Interpretation.
Lu Cheng|Ruocheng Guo|Huan Liu
Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019.

2018

doi dblp
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, CIKM 2018, Torino, Italy, October 22-26, 2018