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Huifeng Guo

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

70

Venues

16

Active years

2017–2026

Best venue rank

A*

Where they publish

Papers

70 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIPersonalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval.Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Xianneng Li, Yichao Wang, Wenlin Zhang, Xiaopeng Li, Weinan Gan, Huifeng Guo, Yong Liu, Xiangyu Zhao
2026AAAIDon't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs.Ziyi Zhao, Chongming Gao, Yang Zhang, Haoyan Liu, Weinan Gan, Huifeng Guo, Yong Liu, Fuli Feng
2026KDDFuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism.Dezhi Yi, Wei Guo, Wenyang Cui, Wenxuan He, Huifeng Guo, Yong Liu, Zhenhua Dong, Ye Lu
2026KDDExploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing.Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2026SIGIRPersonalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery.Xiaopeng Li, Wenlin Zhang, Yingyi Zhang, Pengyue Jia, Yejing Wang, Yichao Wang, Yong Liu, Huifeng Guo, Xiangyu Zhao
2025ACLBridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Yichao Wang, Yuhao Wang, Qidong Liu, Maolin Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025CIKMScenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.Xiaopeng Li, Jingtong Gao, Pengyue Jia, Xiangyu Zhao, Yichao Wang, Wanyu Wang, Yejing Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
2025CIKMSELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems.Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang
2025CIKMPrompt Tuning as User Inherent Profile Inference Machine.Yusheng Lu, Zhaocheng Du, Xiangyang Li, Pengyue Jia, Yejing Wang, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan, Xiangyu Zhao
2025COLINGLLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations.Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2025KDDLLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models.Ruiming Tang, Chenxu Zhu, Bo Chen, Weipeng Zhang, Menghui Zhu, Xinyi Dai, Huifeng Guo
2025KDDLSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao
2025WWWLLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations.Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Wanyu Wang, Huifeng Guo, Ruiming Tang
2025WWWSampleLLM: Optimizing Tabular Data Synthesis in Recommendations.Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025WWWJoint Modeling in Deep Recommender Systems.Pengyue Jia, Jingtong Gao, Yejing Wang, Yuhao Wang, Xiaopeng Li, Qidong Liu, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2025WWWGenerative Large Recommendation Models: Emerging Trends in LLMs for Recommendation.Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2025SIGIRKilling Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model.Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen
2024AAAID3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations.Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024CIKMLLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024CIKMHierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations.Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
2024CIKMEnhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation.Yuening Wang, Man Chen, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates
2024KDDERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
2024RecSysAIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising.Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2024WWWHelen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization.Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You
2024WSDMDiff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation.Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang
2023AAAIAdaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction.Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li
2023CIKMDFFM: Domain Facilitated Feature Modeling for CTR Prediction.Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang
2023CIKMDiffusion Augmentation for Sequential Recommendation.Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
2023CIKMHAMUR: Hyper Adapter for Multi-Domain Recommendation.Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2023KDDHierarchical Projection Enhanced Multi-behavior Recommendation.Chang Meng, Hengyu Zhang, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang, Xiu Li, Rui Zhang
2023WWWCompressed Interaction Graph based Framework for Multi-behavior Recommendation.Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
2023SIGIRAutoTransfer: Instance Transfer for Cross-Domain Recommendations.Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang
2023SIGIRSingle-shot Feature Selection for Multi-task Recommendations.Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong
2023SIGIRPLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations.Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang
2023WSDMAutoML for Deep Recommender Systems: Fundamentals and Advances.Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao
2023WSDMAutoGen: An Automated Dynamic Model Generation Framework for Recommender System.Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang
2022CIKMNumerical Feature Representation with HybridBo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang
2022CIKMIntTower: The Next Generation of Two-Tower Model for Pre-Ranking System.Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang
2022CIKMOptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction.Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
2022CIKMDisentangling Past-Future Modeling in Sequential Recommendation via Dual Networks.Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
2022ICDEMISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction.Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2022ICDEMemorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction.Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
2022ICDMAutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation.Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2022IJCNLPAn Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching.Yankai Chen, Yifei Zhang, Huifeng Guo, Ruiming Tang, Irwin King
2022KDDLearning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation.Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
2022KDDUnsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms.Zhicheng He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang
2022KDDCausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation.Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2022WWWAccepted Tutorials at The Web Conference 2022.Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022SIGIRMulti-Behavior Sequential Transformer Recommender.Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu, Ruiming Tang
2021KDDAn Embedding Learning Framework for Numerical Features in CTR Prediction.Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He
2021KDDDual Graph enhanced Embedding Neural Network for CTR Prediction.Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
2021SIGIRScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table.Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
2020CIKMGraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems.Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
2020IWCMCSpearman Correlation Coefficient Abnormal Behavior Monitoring Technology Based on RNN in 5G Network for Smart City.Chao Li, Hui Yang, Bowen Bao, Huifeng Guo, Yong Jiang, Jie Zhang
2020KDDA Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks.Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates
2020WWWDual-attentional Factorization-Machines based Neural Network for User Response Prediction.Feng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He
2020SIGIRMulti-Branch Convolutional Network for Context-Aware Recommendation.Wei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He
2020SIGIRAutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction.Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li
2020SIGIRNeighbor Interaction Aware Graph Convolution Networks for Recommendation.Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates
2020WSDMEnd-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding.Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He
2019ICDMMulti-graph Convolution Collaborative Filtering.Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
2019PAKDDA Novel KNN Approach for Session-Based Recommendation.Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang
2019RecSysPAL: a position-bias aware learning framework for CTR prediction in live recommender systems.Huifeng Guo, Jinkai Yu, Qing Liu, Ruiming Tang, Yuzhou Zhang
2019WWWFeature Generation by Convolutional Neural Network for Click-Through Rate Prediction.Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang
2019SIGIROrder-aware Embedding Neural Network for CTR Prediction.Wei Guo, Ruiming Tang, Huifeng Guo, Jianhua Han, Wen Yang, Yuzhou Zhang
2018DASFAANovel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification.Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He
2018RecSysField-aware probabilistic embedding neural network for CTR prediction.Weiwen Liu, Ruiming Tang, Jiajin Li, Jinkai Yu, Huifeng Guo, Xiuqiang He, Shengyu Zhang
2017DASFAAA Graph-Based Push Service Platform.Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017IJCAIDeepFM: A Factorization-Machine based Neural Network for CTR Prediction.Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017WWWHolistic Neural Network for CTR Prediction.Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He