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Ruocheng Guo

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

54

Venues

19

Active years

2018–2026

Best venue rank

A*

Where they publish

Papers

54 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIRenormalization Group Guided Tensor Network Structure Search.Maolin Wang, Bowen Yu, Sheng Zhang, Linjie Mi, Wanyu Wang, Yiqi Wang, Pengyue Jia, Xuetao Wei, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2026ACLRIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning.Xiang Gao, Yuguang Yao, Qi Zhang, Kaiwen Dong, Avinash Baidya, Ruocheng Guo, Hilaf Hasson, Kamalika Das
2026ACLToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents.Dawei Li, Yuguang Yao, Zhen Tan, Huan Liu, Ruocheng Guo
2026LRECNode-Level Uncertainty Estimation in LLM-Generated SQL.Hilaf Hasson, Ruocheng Guo
2026WWWSAGE: 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
2026WSDMWorkshop on Benchmarking Causal Models (CausalBench).K. Selcuk Candan, Huan Liu, Ruocheng Guo, Paras Sheth
2026WSDMReport on the Workshop on Benchmarking Causal Models (CausalBench) 2026.K. Seluk Candan, Ruocheng Guo, Huan Liu, Paras Sheth
2025ACLStepwise Reasoning Disruption Attack of LLMs.Jingyu Peng, Maolin Wang, Xiangyu Zhao, Kai Zhang, Wanyu Wang, Pengyue Jia, Qidong Liu, Ruocheng Guo, Qi Liu
2025CIKMSPARK: 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
2025ICDEMetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-Tuning.Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Junhui Wang
2025IJCAIOptimal Policy Adaptation Under Covariate Shift.Xueqing Liu, Qinwei Yang, Zhaoqing Tian, Ruocheng Guo, Peng Wu
2025IJCAIDANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation.Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao
2025KDDFindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation.Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, Shanshan Ye, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu
2025SIGIRSTAR-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
2024DSAAMedia 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
2024ICLRFair Classifiers that Abstain without Harm.Tongxin Yin, Jean-Francois Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu
2024KDDConformal Counterfactual Inference under Hidden Confounding.Zonghao Chen, Ruocheng Guo, Jean-Francois Ton, Yang Liu
2024RecSysDNS-Rec: Data-aware Neural Architecture Search for Recommender Systems.Sheng Zhang, Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Zijian Zhang, Hongzhi Yin
2024WWWLarge 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
2024SDMTensorized Hypergraph Neural Networks.Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2023EMNLPNoise-Robust Fine-Tuning of Pretrained Language Models via External Guidance.Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li
2023ICDMFederated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2023KDDLearning for Counterfactual Fairness from Observational Data.Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
2023KDDGraph-Based Model-Agnostic Data Subsampling for Recommendation Systems.Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang
2023KDDVirtual Node Tuning for Few-shot Node Classification.Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu
2023KDDDebiasing Recommendation by Learning Identifiable Latent Confounders.Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo
2023PAKDDWhat Boosts Fake News Dissemination on Social Media? A Causal Inference View.Yichuan Li, Kyumin Lee, Nima Kordzadeh, Ruocheng Guo
2023WWWAutoMLP: Automated MLP for Sequential Recommendations.Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo
2022ICDMMitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective.Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu
2022IJCAIMLP4Rec: A Pure MLP Architecture for Sequential Recommendations.Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo
2022ICWSMEffects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication.Lu Cheng, Ruocheng Guo, Kasim Seluk Candan, Huan Liu
2022WSDMEstimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies.Lu Cheng, Ruocheng Guo, Huan Liu
2022WSDMCausal Mediation Analysis with Hidden Confounders.Lu Cheng, Ruocheng Guo, Huan Liu
2022WSDMLearning Fair Node Representations with Graph Counterfactual Fairness.Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
2022WSDMGraph Few-shot Class-incremental Learning.Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu
2022SISAPCausal Disentanglement with Network Information for Debiased Recommendations.Paras Sheth, Ruocheng Guo, Kaize Ding, Lu Cheng, K. Seluk Candan, Huan Liu
2021CIKMCauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods.Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu, K. Seluk Candan
2021IJCAIMulti-Cause Effect Estimation with Disentangled Confounder Representation.Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
2021KDDCausal Understanding of Fake News Dissemination on Social Media.Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
2021WSDMLong-Term Effect Estimation with Surrogate Representation.Lu Cheng, Ruocheng Guo, Huan Liu
2021WSDMDeconfounding with Networked Observational Data in a Dynamic Environment.Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li
2020IJCAIIGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data.Ruocheng Guo, Jundong Li, Yichuan Li, K. Seluk Candan, Adrienne Raglin, Huan Liu
2020KDDDebiasing Grid-based Product Search in E-commerce.Ruocheng Guo, Xiaoting Zhao, Adam Henderson, Liangjie Hong, Huan Liu
2020WSDMPrivacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning.Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu
2020WSDMLearning Individual Causal Effects from Networked Observational Data.Ruocheng Guo, Jundong Li, Huan Liu
2020SDMRepresentation Learning for Imbalanced Cross-Domain Classification.Lu Cheng, Ruocheng Guo, K. Seluk Candan, Huan Liu
2020SDMCounterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data.Ruocheng Guo, Jundong Li, Huan Liu
2019KDDAdaptive Unsupervised Feature Selection on Attributed Networks.Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu
2019WWWRobust Cyberbullying Detection with Causal Interpretation.Lu Cheng, Ruocheng Guo, Huan Liu
2019WSDMProtecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles.Ghazaleh Beigi, Ruocheng Guo, Alexander Nou, Yanchao Zhang, Huan Liu
2019SDMHierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network.Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu
2018CIKMLinked Causal Variational Autoencoder for Inferring Paired Spillover Effects.Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu
2018IJCAIINITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process.Ruocheng Guo, Jundong Li, Huan Liu
2018SDMStrongly Hierarchical Factorization Machines and ANOVA Kernel Regression.Ruocheng Guo, Hamidreza Alvari, Paulo Shakarian