DSKmeans: A new kmeans-type approach to discriminative subspace clustering. - Xiaohui Huang 003; Yunming Ye; Huifeng Guo; Yi Cai 001; Haijun Zhang 002; Yan Li 040 (Knowl. Based Syst., 2014)

BLM-Rank: A Bayesian Linear Method for Learning to Rank and Its GPU Implementation. - Huifeng Guo; Dian-Hui Chu; Yunming Ye; Xutao Li; Xixian Fan (IEICE Trans. Inf. Syst., 2016)

A Graph-Based Push Service Platform. - Huifeng Guo; Ruiming Tang; Yunming Ye; Zhenguo Li; Xiuqiang He 001 (DASFAA (2), 2017)

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. - Huifeng Guo; Ruiming Tang; Yunming Ye; Zhenguo Li; Xiuqiang He 001 (IJCAI, 2017)

Holistic Neural Network for CTR Prediction. - Huifeng Guo; Ruiming Tang; Yunming Ye; Xiuqiang He 001 (WWW (Companion Volume), 2017)

Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. - Feng Liu 034; Ruiming Tang; Xutao Li; Yunming Ye; Huifeng Guo; Xiuqiang He 001 (DASFAA (2), 2018)

Field-aware probabilistic embedding neural network for CTR prediction. - Weiwen Liu; Ruiming Tang; Jiajin Li; Jinkai Yu; Huifeng Guo; Xiuqiang He 001; Shengyu Zhang 002 (RecSys, 2018)

DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction. - Huifeng Guo; Ruiming Tang; Yunming Ye; Zhenguo Li; Xiuqiang He 001; Zhenhua Dong (CoRR, 2018)

An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation. - Huifeng Guo; Ruiming Tang; Yunming Ye; Feng Liu 034; Yuzhou Zhang (CoRR, 2018)

Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling. - Feng Liu 034; Ruiming Tang; Xutao Li; Yunming Ye; Haokun Chen; Huifeng Guo; Yuzhou Zhang (CoRR, 2018)

Multi-graph Convolution Collaborative Filtering. - Jianing Sun; Yingxue Zhang 001; Chen Ma 001; Mark Coates; Huifeng Guo; Ruiming Tang; Xiuqiang He 001 (ICDM, 2019)

Slice-Scaling Strategy Based on Representation Learning in Flex-Grid Optical Networks. - Jingwen Nan; Hui Yang 006; Ao Yu; Yajie Li 001; Huifeng Guo; Tao Peng; Jie Zhang 006 (OFC, 2019)

Scheduling with Flow Prediction Based on Time and Frequency 2D Classification for Hybrid Electrical/Optical Intra-Datacenter Networks. - Ao Yu; Hui Yang 006; Qiuyan Yao; Yajie Li 001; Huifeng Guo; Tao Peng; Haibin Li; Jie Zhang 006 (OFC, 2019)

Accurate Fault Location based on Deep Neural Evolution Network in Optical Networks for 5G and Beyond. - Xudong Zhao 006; Hui Yang 006; Huifeng Guo; Tao Peng; Jie Zhang 006 (OFC, 2019)

A Novel KNN Approach for Session-Based Recommendation. - Huifeng Guo; Ruiming Tang; Yunming Ye; Feng Liu 034; Yuzhou Zhang (PAKDD (2), 2019)

PAL: a position-bias aware learning framework for CTR prediction in live recommender systems. - Huifeng Guo; Jinkai Yu; Qing Liu 020; Ruiming Tang; Yuzhou Zhang (RecSys, 2019)

Order-aware Embedding Neural Network for CTR Prediction. - Wei Guo 006; Ruiming Tang; Huifeng Guo; Jianhua Han; Wen Yang 001; Yuzhou Zhang (SIGIR, 2019)

Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction. - Bin Liu 072; Ruiming Tang; Yingzhi Chen; Jinkai Yu; Huifeng Guo; Yuzhou Zhang (WWW, 2019)

Accurate Fault Location Using Deep Belief Network for Optical Fronthaul Networks in 5G and Beyond. - Ao Yu; Hui Yang 006; Qiuyan Yao; Yajie Li 001; Huifeng Guo; Tao Peng; Haibin Li; Jie Zhang 006 (IEEE Access, 2019)

Long-Term Traffic Scheduling Based on Stacked Bidirectional Recurrent Neural Networks in Inter-Datacenter Optical Networks. - Ao Yu; Jie Zhang 006; Hui Yang 006; Ting Xu; Baoguo Yu; Qiuyan Yao; Yajie Li 001; Tao Peng; Huifeng Guo; Jun Li 059 (IEEE Access, 2019)

Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. - Yanru Qu; Bohui Fang; Weinan Zhang 001; Ruiming Tang; Minzhe Niu; Huifeng Guo; Yong Yu 001; Xiuqiang He 001 (ACM Trans. Inf. Syst., 2019)

Representation Learning-based Slice Resource Reconfiguring Scheme in Multimedia Networks. - Hui Yang 006; Jingwen Nan; Qiuyan Yao; Bowen Bao; Yong Jiang; Huifeng Guo (BMSB, 2020)

GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. - Yishi Xu; Yingxue Zhang 001; Wei Guo 006; Huifeng Guo; Ruiming Tang; Mark Coates (CIKM, 2020)

Spearman Correlation Coefficient Abnormal Behavior Monitoring Technology Based on RNN in 5G Network for Smart City. - Chao Li 061; Hui Yang 006; Bowen Bao; Huifeng Guo; Yong Jiang; Jie Zhang 006 (IWCMC, 2020)

A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. - Jianing Sun; Wei Guo 006; Dengcheng Zhang; Yingxue Zhang 001; Florence Regol; Yaochen Hu 001; Huifeng Guo; Ruiming Tang; Han Yuan; Xiuqiang He 001; Mark Coates (KDD, 2020)

Multi-Branch Convolutional Network for Context-Aware Recommendation. - Wei Guo 006; Can Zhang 007; Huifeng Guo; Ruiming Tang; Xiuqiang He 001 (SIGIR, 2020)

AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction. - Bin Liu 072; Niannan Xue; Huifeng Guo; Ruiming Tang; Stefanos Zafeiriou; Xiuqiang He 001; Zhenguo Li (SIGIR, 2020)

Neighbor Interaction Aware Graph Convolution Networks for Recommendation. - Jianing Sun; Yingxue Zhang 001; Wei Guo 006; Huifeng Guo; Ruiming Tang; Xiuqiang He 001; Chen Ma 001; Mark Coates (SIGIR, 2020)

End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding. - Feng Liu 034; Huifeng Guo; Xutao Li; Ruiming Tang; Yunming Ye; Xiuqiang He 001 (WSDM, 2020)

Dual-attentional Factorization-Machines based Neural Network for User Response Prediction. - Feng Liu 034; Wei Guo 006; Huifeng Guo; Ruiming Tang; Yunming Ye; Xiuqiang He 001 (WWW (Companion Volume), 2020)

A Practical Incremental Method to Train Deep CTR Models. - Yichao Wang 002; Huifeng Guo; Ruiming Tang; Zhirong Liu; Xiuqiang He 001 (CoRR, 2020)

AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. - Huifeng Guo; Bo Chen 023; Ruiming Tang; Zhenguo Li; Xiuqiang He 001 (CoRR, 2020)

Top-aware reinforcement learning based recommendation. - Feng Liu 034; Ruiming Tang; Huifeng Guo; Xutao Li; Yunming Ye; Xiuqiang He 001 (Neurocomputing, 2020)

State representation modeling for deep reinforcement learning based recommendation. - Feng Liu 034; Ruiming Tang; Xutao Li; Weinan Zhang 001; Yunming Ye; Haokun Chen; Huifeng Guo; Yuzhou Zhang; Xiuqiang He 001 (Knowl. Based Syst., 2020)

BiPS: Hotness-aware Bi-tier Parameter Synchronization for Recommendation Models. - Qiming Zheng; Quan Chen 002; Kaihao Bai; Huifeng Guo; Yong Gao; Xiuqiang He 001; Minyi Guo (IPDPS, 2021)

An Embedding Learning Framework for Numerical Features in CTR Prediction. - Huifeng Guo; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Zhenguo Li; Xiuqiang He 001 (KDD, 2021)

Dual Graph enhanced Embedding Neural Network for CTR Prediction. - Wei Guo 006; Rong Su 003; Renhao Tan; Huifeng Guo; Yingxue Zhang 001; Zhirong Liu; Ruiming Tang; Xiuqiang He 001 (KDD, 2021)

ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. - Huifeng Guo; Wei Guo 006; Yong Gao; Ruiming Tang; Xiuqiang He 001; Wenzhi Liu (SIGIR, 2021)

Content Filtering Enriched GNN Framework for News Recommendation. - Yong Gao; Huifeng Guo; Dandan Lin; Yingxue Zhang 001; Ruiming Tang; Xiuqiang He 001 (CoRR, 2021)

Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. - Yankai Chen 001; Yifei Zhang; Yingxue Zhang 001; Huifeng Guo; Jingjie Li; Ruiming Tang; Xiuqiang He 001; Irwin King (CoRR, 2021)

Numerical Feature Representation with Hybrid N-ary Encoding. - Bo Chen 023; Huifeng Guo; Weiwen Liu; Yue Ding 001; Yunzhe Li 001; Wei Guo 006; Yichao Wang 002; Zhicheng He 001; Ruiming Tang; Rui Zhang 003 (CIKM, 2022)

IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. - Xiangyang Li; Bo Chen 023; Huifeng Guo; Jingjie Li; Chenxu Zhu; Xiang Long; Sujian Li; Yichao Wang 002; Wei Guo 006; Longxia Mao; Jinxing Liu; Zhenhua Dong; et al. (CIKM, 2022)

OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. - Fuyuan Lyu; Xing Tang 007; Hong Zhu 003; Huifeng Guo; Yingxue Zhang 001; Ruiming Tang; Xue Liu 001 (CIKM, 2022)

Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. - Hengyu Zhang 001; Enming Yuan; Wei Guo 006; Zhicheng He 001; Jiarui Qin; Huifeng Guo; Bo Chen 023; Xiu Li 001; Ruiming Tang (CIKM, 2022)

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. - Wei Guo 006; Can Zhang 007; Zhicheng He 001; Jiarui Qin; Huifeng Guo; Bo Chen 023; Ruiming Tang; Xiuqiang He 001; Rui Zhang 003 (ICDE, 2022)

Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. - Fuyuan Lyu; Xing Tang 007; Huifeng Guo; Ruiming Tang; Xiuqiang He 001; Rui Zhang 003; Xue Liu 001 (ICDE, 2022)

AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation. - Fengyi Song; Bo Chen 023; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (ICDM, 2022)

An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching. - Yankai Chen 001; Yifei Zhang; Huifeng Guo; Ruiming Tang; Irwin King (AACL/IJCNLP (2), 2022)

Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. - Yankai Chen 001; Huifeng Guo; Yingxue Zhang 001; Chen Ma 001; Ruiming Tang; Jingjie Li; Irwin King (KDD, 2022)

Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms. - Zhicheng He 001; Wei Xia 001; Kai Dong; Huifeng Guo; Ruiming Tang; Dingyin Xia; Rui Zhang 003 (KDD, 2022)

CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. - Yichao Wang 002; Huifeng Guo; Bo Chen 023; Weiwen Liu; Zhirong Liu; Qi Zhang 001; Zhicheng He 001; Hongkun Zheng; Weiwei Yao; Muyu Zhang; Zhenhua Dong; Ruiming Tang (KDD, 2022)

Multi-Behavior Sequential Transformer Recommender. - Enming Yuan; Wei Guo 006; Zhicheng He 001; Huifeng Guo; Chengkai Liu; Ruiming Tang (SIGIR, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

Automated Machine Learning for Deep Recommender Systems: A Survey. - Bo Chen 023; Xiangyu Zhao 001; Yejing Wang; Wenqi Fan; Huifeng Guo; Ruiming Tang (CoRR, 2022)

AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction. - Niannan Xue; Bin Liu 072; Huifeng Guo; Ruiming Tang; Fengwei Zhou; Stefanos Zafeiriou; Yuzhou Zhang; Jun Wang 012; Zhenguo Li (IEEE Trans. Knowl. Data Eng., 2022)

Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. - Shiwei Li 002; Huifeng Guo; Lu Hou 002; Wei Zhang 197; Xing Tang 007; Ruiming Tang; Rui Zhang 003; Ruixuan Li 001 (AAAI, 2023)

Bidirectional Mapping RTE for Fault Knowledge Graph Construction. - Huan Wang; Huifeng Guo; Zehui Mao; Haibin Li; Qiang Qu; Yulei Yang (SAFEPROCESS, 2023)

DFFM: Domain Facilitated Feature Modeling for CTR Prediction. - Wei Guo 006; Chenxu Zhu; Fan Yan; Bo Chen 023; Weiwen Liu; Huifeng Guo; Hongkun Zheng; Yong Liu 020; Ruiming Tang (CIKM, 2023)

HAMUR: Hyper Adapter for Multi-Domain Recommendation. - Xiaopeng Li; Fan Yan; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Huifeng Guo; Ruiming Tang (CIKM, 2023)

Diffusion Augmentation for Sequential Recommendation. - Qidong Liu 002; Fan Yan; Xiangyu Zhao 001; Zhaocheng Du; Huifeng Guo; Ruiming Tang; Feng Tian 002 (CIKM, 2023)

Hierarchical Projection Enhanced Multi-behavior Recommendation. - Chang Meng; Hengyu Zhang 001; Wei Guo 006; Huifeng Guo; Haotian Liu; Yingxue Zhang 001; Hongkun Zheng; Ruiming Tang; Xiu Li 001; Rui Zhang 003 (KDD, 2023)

AutoTransfer: Instance Transfer for Cross-Domain Recommendations. - Jingtong Gao; Xiangyu Zhao 001; Bo Chen 023; Fan Yan; Huifeng Guo; Ruiming Tang (SIGIR, 2023)

Single-shot Feature Selection for Multi-task Recommendations. - Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Bo Chen 023; Huifeng Guo; Ruiming Tang; Zhenhua Dong (SIGIR, 2023)

PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. - Yuhao Wang 006; Xiangyu Zhao 001; Bo Chen 023; Qidong Liu 002; Huifeng Guo; Huanshuo Liu; Yichao Wang 002; Rui Zhang 003; Ruiming Tang (SIGIR, 2023)

AutoML for Deep Recommender Systems: Fundamentals and Advances. - Ruiming Tang; Bo Chen 023; Yejing Wang; Huifeng Guo; Yong Liu 020; Wenqi Fan; Xiangyu Zhao 001 (WSDM, 2023)

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. - Chenxu Zhu; Bo Chen 023; Huifeng Guo; Hang Xu 004; Xiangyang Li; Xiangyu Zhao 001; Weinan Zhang 001; Yong Yu 001; Ruiming Tang (WSDM, 2023)

Compressed Interaction Graph based Framework for Multi-behavior Recommendation. - Wei Guo 006; Chang Meng; Enming Yuan; Zhicheng He 001; Huifeng Guo; Yingxue Zhang 001; Bo Chen 023; Yaochen Hu 001; Ruiming Tang; Xiu Li 001; Rui Zhang 003 (WWW, 2023)

Multi-Task Deep Recommender Systems: A Survey. - Yuhao Wang 006; Ha Tsz Lam; Yi Wong; Ziru Liu; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Huifeng Guo; Ruiming Tang (CoRR, 2023)

How Can Recommender Systems Benefit from Large Language Models: A Survey. - Jianghao Lin; Xinyi Dai; Yunjia Xi; Weiwen Liu; Bo Chen 023; Xiangyang Li; Chenxu Zhu; Huifeng Guo; Yong Yu 001; Ruiming Tang; Weinan Zhang 001 (CoRR, 2023)

Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction. - Hengyu Zhang 001; Chang Meng; Wei Guo 006; Huifeng Guo; Jieming Zhu; Guangpeng Zhao; Ruiming Tang; Xiu Li 001 (CoRR, 2023)

Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation. - Jingtong Gao; Bo Chen 023; Menghui Zhu; Xiangyu Zhao 001; Xiaopeng Li; Yuhao Wang 006; Yichao Wang 002; Huifeng Guo; Ruiming Tang (CoRR, 2023)

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations. - Pengyue Jia; Yichao Wang 002; Shanru Lin; Xiaopeng Li; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (AAAI, 2024)

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. - Yuhao Wang 006; Yichao Wang 002; Zichuan Fu; Xiangyang Li; Wanyu Wang; Yuyang Ye 002; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CIKM, 2024)

HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations. - Jingtong Gao; Bo Chen 023; Menghui Zhu; Xiangyu Zhao 001; Xiaopeng Li; Yuhao Wang 006; Yichao Wang 002; Huifeng Guo; Ruiming Tang (CIKM, 2024)

Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation. - Yuening Wang; Man Chen; Yaochen Hu 001; Wei Guo 006; Yingxue Zhang 001; Huifeng Guo; Yong Liu 020; Mark Coates (CIKM, 2024)

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. - Pengyue Jia; Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Yichao Wang 001; Bo Chen 023; Wanyu Wang; Huifeng Guo; Ruiming Tang (KDD, 2024)

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. - Yang Yang 001; Bo Chen 023; Chenxu Zhu; Menghui Zhu; Xinyi Dai; Huifeng Guo; Muyu Zhang; Zhenhua Dong; Ruiming Tang (RecSys, 2024)

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation. - Yuhao Wang 006; Ziru Liu; Yichao Wang 002; Xiangyu Zhao 001; Bo Chen 023; Huifeng Guo; Ruiming Tang (WSDM, 2024)

Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. - Zirui Zhu; Yong Liu 020; Zangwei Zheng; Huifeng Guo; Yang You 001 (WWW, 2024)

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. - Pengyue Jia; Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Wanyu Wang; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. - Wenlin Zhang; Chuhan Wu; Xiangyang Li; Yuhao Wang 006; Kuicai Dong; Yichao Wang 002; Xinyi Dai; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

LLM-enhanced Reranking in Recommender Systems. - Jingtong Gao; Bo Chen 023; Xiangyu Zhao 001; Weiwen Liu; Xiangyang Li; Yichao Wang 002; Zijian Zhang 009; Wanyu Wang; Yuyang Ye 002; Shanru Lin; Huifeng Guo; Ruiming Tang (CoRR, 2024)

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. - Yuhao Wang 006; Yichao Wang 002; Zichuan Fu; Xiangyang Li; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. - Bo Chen 023; Xinyi Dai; Huifeng Guo; Wei Guo 006; Weiwen Liu; Yong Liu 020; Jiarui Qin; Ruiming Tang; Yichao Wang 002; Chuhan Wu; Yaxiong Wu 005; Hao Zhang 048 (CoRR, 2024)

Prompt Tuning as User Inherent Profile Inference Machine. - Yusheng Lu; Zhaocheng Du; Xiangyang Li; Xiangyu Zhao 001; Weiwen Liu; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Zhenhua Dong; Yongrui Duan (CoRR, 2024)

Enhancing CTR Prediction in Recommendation Domain with Search Query Representation. - Yuening Wang; Chen Ma 001; Yaochen Hu 001; Wei Guo 006; Yingxue Zhang 001; Huifeng Guo; Yong Liu 020; Mark Coates (CoRR, 2024)

Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights. - Tingjia Shen; Hao Wang 076; Chuhan Wu; Jin Yao Chin; Wei Guo 006; Yong Liu 020; Huifeng Guo; Defu Lian; Ruiming Tang; Enhong Chen (CoRR, 2024)

Scaling New Frontiers: Insights into Large Recommendation Models. - Wei Guo 006; Hao Wang 076; Luankang Zhang; Jin Yao Chin; Zhongzhou Liu; Kai Cheng; Qiushi Pan; Yi Quan Lee; Wanqi Xue; Tingjia Shen; Kenan Song; Kefan Wang; et al. (CoRR, 2024)

AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems. - Pengyue Jia; Zhaocheng Du; Yichao Wang 001; Xiangyu Zhao 001; Xiaopeng Li; Yuhao Wang 006; Qidong Liu 002; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. - Pengyue Jia; Derong Xu; Xiaopeng Li; Zhaocheng Du; Xiangyang Li; Xiangyu Zhao 001; Yichao Wang 002; Yuhao Wang 006; Huifeng Guo; Ruiming Tang (CoRR, 2024)

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval. - Xiaopeng Li; Xiangyang Li; Hao Zhang 048; Zhaocheng Du; Pengyue Jia; Yichao Wang 001; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark. - Xiaopeng Li; Jingtong Gao; Pengyue Jia; Yichao Wang 001; Wanyu Wang; Yejing Wang; Yuhao Wang 006; Huifeng Guo; Ruiming Tang (CoRR, 2024)

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation. - Ziru Liu; Kecheng Chen; Fengyi Song; Bo Chen 023; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (Knowl. Inf. Syst., 2024)

Embedding Compression in Recommender Systems: A Survey. - Shiwei Li 002; Huifeng Guo; Xing Tang 007; Ruiming Tang; Lu Hou 002; Ruixuan Li 001; Rui Zhang 003 (ACM Comput. Surv., 2024)

Graph Convolutional Neural Network for Intelligent Fault Diagnosis of Machines via Knowledge Graph. - Zehui Mao; Huan Wang; Bin Jiang 001; Juan Xu 004; Huifeng Guo (IEEE Trans. Ind. Informatics, 2024)

A Comprehensive Survey on Automated Machine Learning for Recommendations. - Bo Chen 023; Xiangyu Zhao 001; Yejing Wang; Wenqi Fan; Huifeng Guo; Ruiming Tang (Trans. Recomm. Syst., 2024)

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. - Pengyue Jia; Derong Xu; Xiaopeng Li; Zhaocheng Du; Xiangyang Li; Yichao Wang 001; Yuhao Wang 006; Qidong Liu 002; Maolin Wang 001; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (ACL (Findings), 2025)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations. - Wenlin Zhang; Chuhan Wu; Xiangyang Li; Yuhao Wang 006; Kuicai Dong; Yichao Wang 002; Xinyi Dai; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (COLING, 2025)

Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model. - Luankang Zhang; Kenan Song; Yi Quan Lee; Wei Guo 006; Hao Wang 076; Yawen Li 001; Huifeng Guo; Yong Liu 020; Defu Lian; Enhong Chen (SIGIR, 2025)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations. - Jingtong Gao; Bo Chen 023; Xiangyu Zhao 001; Weiwen Liu; Xiangyang Li; Yichao Wang 002; Wanyu Wang; Huifeng Guo; Ruiming Tang (WWW, 2025)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. - Jingtong Gao; Zhaocheng Du; Xiaopeng Li; Yichao Wang 002; Xiangyang Li; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (WWW (Companion Volume), 2025)

Joint Modeling in Deep Recommender Systems. - Pengyue Jia; Jingtong Gao; Yejing Wang; Yuhao Wang 006; Xiaopeng Li; Qidong Liu 002; Yichao Wang 002; Bo Chen 023; Huifeng Guo; Ruiming Tang (WWW (Companion Volume), 2025)

Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation. - Hao Wang 076; Wei Guo 006; Luankang Zhang; Jin Yao Chin; Yufei Ye; Huifeng Guo; Yong Liu 020; Defu Lian; Ruiming Tang; Enhong Chen (WWW (Companion Volume), 2025)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. - Jingtong Gao; Zhaocheng Du; Xiaopeng Li; Yichao Wang 001; Xiangyang Li; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models. - Ruiming Tang; Chenxu Zhu; Bo Chen 023; Weipeng Zhang; Menghui Zhu; Xinyi Dai; Huifeng Guo (CoRR, 2025)

Joint Modeling in Recommendations: A Survey. - Xiangyu Zhao 001; Yichao Wang 001; Bo Chen 023; Jingtong Gao; Yuhao Wang 006; Xiaopeng Li; Pengyue Jia; Qidong Liu 002; Huifeng Guo; Ruiming Tang (CoRR, 2025)

How Can Recommender Systems Benefit from Large Language Models: A Survey. - Jianghao Lin; Xinyi Dai; Yunjia Xi; Weiwen Liu; Bo Chen 023; Hao Zhang 048; Yong Liu 020; Chuhan Wu; Xiangyang Li; Chenxu Zhu; Huifeng Guo; Yong Yu 001; et al. (ACM Trans. Inf. Syst., 2025)

A Survey of Personalization: From RAG to Agent. - Xiaopeng Li; Pengyue Jia; Derong Xu; Yi Wen 001; Yingyi Zhang; Wenlin Zhang; Wanyu Wang; Yichao Wang 002; Zhaocheng Du; Xiangyang Li; Yong Liu 020; Huifeng Guo; et al. (CoRR, 2025)

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs. - Yaxiong Wu 005; Sheng Liang; Chen Zhang 003; Yichao Wang 002; Yongyue Zhang; Huifeng Guo; Ruiming Tang; Yong Liu 020 (CoRR, 2025)

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration. - Yingyi Zhang; Pengyue Jia; Xianneng Li; Derong Xu; Maolin Wang 001; Yichao Wang 002; Zhaocheng Du; Huifeng Guo; Yong Liu 020; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning. - Wenlin Zhang; Xiangyang Li; Kuicai Dong; Yichao Wang 002; Pengyue Jia; Xiaopeng Li; Yingyi Zhang; Derong Xu; Zhaocheng Du; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation. - Derong Xu; Pengyue Jia; Xiaopeng Li; Yingyi Zhang; Maolin Wang 001; Qidong Liu 002; Xiangyu Zhao 001; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Enhong Chen; Tong Xu 001 (CoRR, 2025)

Towards Multi-Granularity Memory Association and Selection for Long-Term Conversational Agents. - Derong Xu; Yi Wen 001; Pengyue Jia; Yingyi Zhang; Wen-Lin Zhang; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001; Enhong Chen; Tong Xu 001 (CoRR, 2025)

FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model. - Yufei Ye; Wei Guo 006; Hao Wang 076; Hong Zhu 003; Yuyang Ye 002; Yong Liu 020; Huifeng Guo; Ruiming Tang; Defu Lian; Enhong Chen (CoRR, 2025)

Deep Research: A Survey of Autonomous Research Agents. - Wenlin Zhang; Xiaopeng Li; Yingyi Zhang; Pengyue Jia; Yichao Wang 002; Huifeng Guo; Yong Liu 020; Xiangyu Zhao 001 (CoRR, 2025)

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. - Zichuan Fu; Xiangyang Li; Chuhan Wu; Yichao Wang 002; Kuicai Dong; Xiangyu Zhao 001; Mengchen Zhao; Huifeng Guo; Ruiming Tang (ACM Trans. Inf. Syst., 2025)