Huifeng Guo - RankMe

158 papers A* 31A 22B 2C 1Journal 83Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity Control. CoRR Luankang Zhang, Hao Wang, Zhongzhou Liu, Mingjia Yin, Yonghao Huang, Jiaqi Li, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Enhong Chen
2026	A*	`conf`	Don't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs. AAAI Ziyi Zhao, Chongming Gao, Yang Zhang, Haoyan Liu, Weinan Gan, Huifeng Guo, Yong Liu, Fuli Feng
2026	J	`jnl`	Don't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs. CoRR Ziyi Zhao, Chongming Gao, Yang Zhang, Haoyan Liu, Weinan Gan, Huifeng Guo, Yong Liu, Fuli Feng
2026	J	`jnl`	Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval. CoRR Yingyi Zhang, Junyi Li, Wenlin Zhang, Penyue Jia, Xianneng Li, Yichao Wang, Derong Xu, Yi Wen, Huifeng Guo, Yong Liu, Xiangyu Zhao
2026	—	`conf`	Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing. KDD (1) Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2026	J	`jnl`	Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing. CoRR Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2026	—	`conf`	FuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism. KDD (1) Dezhi Yi, Wei Guo, Wenyang Cui, Wenxuan He, Huifeng Guo, Yong Liu, Zhenhua Dong, Ye Lu
2026	A*	`conf`	Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval. AAAI Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Xianneng Li, Yichao Wang, Wenlin Zhang, Xiaopeng Li, Weinan Gan, Huifeng Guo, Yong Liu, Xiangyu Zhao
2025	J	`jnl`	A Survey of Personalization: From RAG to Agent. CoRR Xiaopeng Li, Pengyue Jia, Derong Xu, Yi Wen, Yingyi Zhang, Wenlin Zhang, Wanyu Wang, Yichao Wang, Zhaocheng Du, Xiangyang Li, Yong Liu, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025	J	`jnl`	A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. ACM Trans. Inf. Syst. Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang
2025	J	`jnl`	Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation. CoRR Derong Xu, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Maolin Wang, Qidong Liu, Xiangyu Zhao, Yichao Wang, Huifeng Guo, Ruiming Tang, Enhong Chen, Tong Xu
2025	—	`conf`	Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. ACL (Findings) Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Yichao Wang, Yuhao Wang, Qidong Liu, Maolin Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025	J	`jnl`	Deep Research: A Survey of Autonomous Research Agents. CoRR Wenlin Zhang, Xiaopeng Li, Yingyi Zhang, Pengyue Jia, Yichao Wang, Huifeng Guo, Yong Liu, Xiangyu Zhao
2025	J	`jnl`	From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs. CoRR Yaxiong Wu, Sheng Liang, Chen Zhang, Yichao Wang, Yongyue Zhang, Huifeng Guo, Ruiming Tang, Yong Liu
2025	J	`jnl`	FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model. CoRR Yufei Ye, Wei Guo, Hao Wang, Hong Zhu, Yuyang Ye, Yong Liu, Huifeng Guo, Ruiming Tang, Defu Lian, Enhong Chen
2025	J	`jnl`	FuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism. CoRR Dezhi Yi, Wei Guo, Wenyang Cui, Wenxuan He, Huifeng Guo, Yong Liu, Zhenhua Dong, Ye Lu
2025	—	`conf`	Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation. WWW (Companion Volume) Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2025	J	`jnl`	Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation. CoRR Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2025	J	`jnl`	How Can Recommender Systems Benefit from Large Language Models: A Survey. ACM Trans. Inf. Syst. Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Hao Zhang, Yong Liu, Chuhan Wu, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang
2025	—	`conf`	Joint Modeling in Deep Recommender Systems. WWW (Companion Volume) Pengyue Jia, Jingtong Gao, Yejing Wang, Yuhao Wang, Xiaopeng Li, Qidong Liu, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2025	J	`jnl`	Joint Modeling in Recommendations: A Survey. CoRR Xiangyu Zhao, Yichao Wang, Bo Chen, Jingtong Gao, Yuhao Wang, Xiaopeng Li, Pengyue Jia, Qidong Liu, Huifeng Guo, Ruiming Tang
2025	A*	`conf`	Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model. SIGIR Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen
2025	J	`jnl`	Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model. CoRR Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen
2025	A*	`conf`	LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations. WWW Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Wanyu Wang, Huifeng Guo, Ruiming Tang
2025	—	`conf`	LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models. KDD (2) Ruiming Tang, Chenxu Zhu, Bo Chen, Weipeng Zhang, Menghui Zhu, Xinyi Dai, Huifeng Guo
2025	J	`jnl`	LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models. CoRR Ruiming Tang, Chenxu Zhu, Bo Chen, Weipeng Zhang, Menghui Zhu, Xinyi Dai, Huifeng Guo
2025	B	`conf`	LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations. COLING Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2025	—	`conf`	LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration. KDD (2) Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao
2025	J	`jnl`	LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration. CoRR Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao
2025	J	`jnl`	No One Left Behind: How to Exploit the Incomplete and Skewed Multi-Label Data for Conversion Rate Prediction. CoRR Qinglin Jia, Zhaocheng Du, Chuhan Wu, Huifeng Guo, Ruiming Tang, Shuting Shi, Muyu Zhang
2025	J	`jnl`	Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval. CoRR Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Xianneng Li, Yichao Wang, Wenlin Zhang, Xiaopeng Li, Weinan Gan, Huifeng Guo, Yong Liu, Xiangyu Zhao
2025	J	`jnl`	Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning. CoRR Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025	A	`conf`	Prompt Tuning as User Inherent Profile Inference Machine. CIKM Yusheng Lu, Zhaocheng Du, Xiangyang Li, Pengyue Jia, Yejing Wang, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan, Xiangyu Zhao
2025	A	`conf`	SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems. CIKM Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang
2025	—	`conf`	SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. WWW (Companion Volume) Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025	J	`jnl`	SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. CoRR Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025	A	`conf`	Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark. CIKM Xiaopeng Li, Jingtong Gao, Pengyue Jia, Xiangyu Zhao, Yichao Wang, Wanyu Wang, Yejing Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
2025	J	`jnl`	Towards Multi-Granularity Memory Association and Selection for Long-Term Conversational Agents. CoRR Derong Xu, Yi Wen, Pengyue Jia, Yingyi Zhang, Wenlin Zhang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao, Enhong Chen, Tong Xu
2024	J	`jnl`	A Comprehensive Survey on Automated Machine Learning for Recommendations. Trans. Recomm. Syst. Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
2024	A	`conf`	AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. RecSys Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2024	J	`jnl`	AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. CoRR Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2024	J	`jnl`	All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. CoRR Bo Chen, Xinyi Dai, Huifeng Guo, Wei Guo, Weiwen Liu, Yong Liu, Jiarui Qin, Ruiming Tang, Yichao Wang, Chuhan Wu, Yaxiong Wu, Hao Zhang
2024	J	`jnl`	AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems. CoRR Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation. Knowl. Inf. Syst. Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. CoRR Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Yichao Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
2024	A*	`conf`	D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations. AAAI Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024	A	`conf`	Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation. WSDM Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang
2024	A*	`conf`	ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. KDD Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. CoRR Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	Embedding Compression in Recommender Systems: A Survey. CoRR Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang
2024	J	`jnl`	Embedding Compression in Recommender Systems: A Survey. ACM Comput. Surv. Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang
2024	J	`jnl`	Enhancing CTR Prediction in Recommendation Domain with Search Query Representation. CoRR Yuening Wang, Chen Ma, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates
2024	A	`conf`	Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation. CIKM Yuening Wang, Man Chen, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates
2024	J	`jnl`	Graph Convolutional Neural Network for Intelligent Fault Diagnosis of Machines via Knowledge Graph. IEEE Trans. Ind. Informatics Zehui Mao, Huan Wang, Bin Jiang, Juan Xu, Huifeng Guo
2024	A*	`conf`	Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. WWW Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You
2024	J	`jnl`	Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. CoRR Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You
2024	A	`conf`	HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations. CIKM Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	LLM-enhanced Reranking in Recommender Systems. CoRR Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang
2024	A	`conf`	LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. CIKM Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. CoRR Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights. CoRR Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen
2024	J	`jnl`	Prompt Tuning as User Inherent Profile Inference Machine. CoRR Yusheng Lu, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan
2024	J	`jnl`	Scaling New Frontiers: Insights into Large Recommendation Models. CoRR Wei Guo, Hao Wang, Luankang Zhang, Jin Yao Chin, Zhongzhou Liu, Kai Cheng, Qiushi Pan, Yi Quan Lee, Wanqi Xue, Tingjia Shen, Kenan Song, Kefan Wang, Wenjia Xie, Yuyang Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2024	J	`jnl`	Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark. CoRR Xiaopeng Li, Jingtong Gao, Pengyue Jia, Yichao Wang, Wanyu Wang, Yejing Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval. CoRR Xiaopeng Li, Xiangyang Li, Hao Zhang, Zhaocheng Du, Pengyue Jia, Yichao Wang, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. CoRR Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2023	J	`jnl`	A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. CoRR Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang
2023	A*	`conf`	Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. AAAI Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li
2023	J	`jnl`	AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation. CoRR Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2023	A	`conf`	AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. WSDM Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang
2023	A	`conf`	AutoML for Deep Recommender Systems: Fundamentals and Advances. WSDM Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao
2023	A*	`conf`	AutoTransfer: Instance Transfer for Cross-Domain Recommendations. SIGIR Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang
2023	C	`conf`	Bidirectional Mapping RTE for Fault Knowledge Graph Construction. SAFEPROCESS Huan Wang, Huifeng Guo, Zehui Mao, Haibin Li, Qiang Qu, Yulei Yang
2023	A*	`conf`	Compressed Interaction Graph based Framework for Multi-behavior Recommendation. WWW Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
2023	J	`jnl`	Compressed Interaction Graph based Framework for Multi-behavior Recommendation. CoRR Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
2023	A	`conf`	DFFM: Domain Facilitated Feature Modeling for CTR Prediction. CIKM Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang
2023	A	`conf`	Diffusion Augmentation for Sequential Recommendation. CIKM Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
2023	J	`jnl`	Diffusion Augmentation for Sequential Recommendation. CoRR Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
2023	A	`conf`	HAMUR: Hyper Adapter for Multi-Domain Recommendation. CIKM Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2023	J	`jnl`	HAMUR: Hyper Adapter for Multi-Domain Recommendation. CoRR Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2023	A*	`conf`	Hierarchical Projection Enhanced Multi-behavior Recommendation. KDD Chang Meng, Hengyu Zhang, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang, Xiu Li, Rui Zhang
2023	J	`jnl`	How Can Recommender Systems Benefit from Large Language Models: A Survey. CoRR Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang
2023	J	`jnl`	Multi-Task Deep Recommender Systems: A Survey. CoRR Yuhao Wang, Ha Tsz Lam, Yi Wong, Ziru Liu, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2023	A*	`conf`	PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. SIGIR Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang
2023	J	`jnl`	Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation. CoRR Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
2023	A*	`conf`	Single-shot Feature Selection for Multi-task Recommendations. SIGIR Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong
2023	J	`jnl`	Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction. CoRR Hengyu Zhang, Chang Meng, Wei Guo, Huifeng Guo, Jieming Zhu, Guangpeng Zhao, Ruiming Tang, Xiu Li
2022	—	`conf`	Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 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
2022	J	`jnl`	Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. CoRR Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li
2022	—	`conf`	An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching. AACL/IJCNLP (2) Yankai Chen, Yifei Zhang, Huifeng Guo, Ruiming Tang, Irwin King
2022	A*	`conf`	AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation. ICDM Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2022	J	`jnl`	AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction. IEEE Trans. Knowl. Data Eng. Niannan Xue, Bin Liu, Huifeng Guo, Ruiming Tang, Fengwei Zhou, Stefanos Zafeiriou, Yuzhou Zhang, Jun Wang, Zhenguo Li
2022	J	`jnl`	Automated Machine Learning for Deep Recommender Systems: A Survey. CoRR Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
2022	A*	`conf`	CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. KDD Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2022	A	`conf`	Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. CIKM Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
2022	J	`jnl`	Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. CoRR Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
2022	A	`conf`	IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. CIKM 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
2022	J	`jnl`	IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System. CoRR 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
2022	A*	`conf`	Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. KDD Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
2022	J	`jnl`	Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. CoRR Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
2022	A*	`conf`	MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. ICDE Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2022	A*	`conf`	Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. ICDE Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
2022	A*	`conf`	Multi-Behavior Sequential Transformer Recommender. SIGIR Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu, Ruiming Tang
2022	A	`conf`	Numerical Feature Representation with Hybrid CIKM Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang
2022	A	`conf`	OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CIKM Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
2022	J	`jnl`	OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CoRR Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
2022	A*	`conf`	Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms. KDD Zhicheng He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang
2021	A*	`conf`	An Embedding Learning Framework for Numerical Features in CTR Prediction. KDD Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He
2021	A	`conf`	BiPS: Hotness-aware Bi-tier Parameter Synchronization for Recommendation Models. IPDPS Qiming Zheng, Quan Chen, Kaihao Bai, Huifeng Guo, Yong Gao, Xiuqiang He, Minyi Guo
2021	J	`jnl`	Content Filtering Enriched GNN Framework for News Recommendation. CoRR Yong Gao, Huifeng Guo, Dandan Lin, Yingxue Zhang, Ruiming Tang, Xiuqiang He
2021	A*	`conf`	Dual Graph enhanced Embedding Neural Network for CTR Prediction. KDD Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
2021	J	`jnl`	Dual Graph enhanced Embedding Neural Network for CTR Prediction. CoRR Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
2021	J	`jnl`	MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. CoRR Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2021	J	`jnl`	Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction. CoRR Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
2021	A*	`conf`	ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. SIGIR Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
2021	J	`jnl`	ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. CoRR Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
2021	J	`jnl`	Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. CoRR Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King
2020	A*	`conf`	A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. KDD Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates
2020	J	`jnl`	A Practical Incremental Method to Train Deep CTR Models. CoRR Yichao Wang, Huifeng Guo, Ruiming Tang, Zhirong Liu, Xiuqiang He
2020	J	`jnl`	AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. CoRR Huifeng Guo, Bo Chen, Ruiming Tang, Zhenguo Li, Xiuqiang He
2020	A*	`conf`	AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction. SIGIR Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li
2020	—	`conf`	Dual-attentional Factorization-Machines based Neural Network for User Response Prediction. WWW (Companion Volume) Feng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He
2020	A	`conf`	End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding. WSDM Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He
2020	A	`conf`	GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CIKM Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
2020	J	`jnl`	GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CoRR Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
2020	A*	`conf`	Multi-Branch Convolutional Network for Context-Aware Recommendation. SIGIR Wei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He
2020	J	`jnl`	Multi-Graph Convolution Collaborative Filtering. CoRR Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
2020	A*	`conf`	Neighbor Interaction Aware Graph Convolution Networks for Recommendation. SIGIR Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates
2020	—	`conf`	Representation Learning-based Slice Resource Reconfiguring Scheme in Multimedia Networks. BMSB Hui Yang, Jingwen Nan, Qiuyan Yao, Bowen Bao, Yong Jiang, Huifeng Guo
2020	B	`conf`	Spearman Correlation Coefficient Abnormal Behavior Monitoring Technology Based on RNN in 5G Network for Smart City. IWCMC Chao Li, Hui Yang, Bowen Bao, Huifeng Guo, Yong Jiang, Jie Zhang
2020	J	`jnl`	State representation modeling for deep reinforcement learning based recommendation. Knowl. Based Syst. Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He
2020	J	`jnl`	Top-aware reinforcement learning based recommendation. Neurocomputing Feng Liu, Ruiming Tang, Huifeng Guo, Xutao Li, Yunming Ye, Xiuqiang He
2019	—	`conf`	A Novel KNN Approach for Session-Based Recommendation. PAKDD (2) Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang
2019	J	`jnl`	Accurate Fault Location Using Deep Belief Network for Optical Fronthaul Networks in 5G and Beyond. IEEE Access Ao Yu, Hui Yang, Qiuyan Yao, Yajie Li, Huifeng Guo, Tao Peng, Haibin Li, Jie Zhang
2019	—	`conf`	Accurate Fault Location based on Deep Neural Evolution Network in Optical Networks for 5G and Beyond. OFC Xudong Zhao, Hui Yang, Huifeng Guo, Tao Peng, Jie Zhang
2019	A*	`conf`	Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction. WWW Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang
2019	J	`jnl`	Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction. CoRR Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang
2019	J	`jnl`	Long-Term Traffic Scheduling Based on Stacked Bidirectional Recurrent Neural Networks in Inter-Datacenter Optical Networks. IEEE Access Ao Yu, Jie Zhang, Hui Yang, Ting Xu, Baoguo Yu, Qiuyan Yao, Yajie Li, Tao Peng, Huifeng Guo, Jun Li
2019	A*	`conf`	Multi-graph Convolution Collaborative Filtering. ICDM Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
2019	A*	`conf`	Order-aware Embedding Neural Network for CTR Prediction. SIGIR Wei Guo, Ruiming Tang, Huifeng Guo, Jianhua Han, Wen Yang, Yuzhou Zhang
2019	A	`conf`	PAL: a position-bias aware learning framework for CTR prediction in live recommender systems. RecSys Huifeng Guo, Jinkai Yu, Qing Liu, Ruiming Tang, Yuzhou Zhang
2019	J	`jnl`	Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. ACM Trans. Inf. Syst. Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He
2019	—	`conf`	Scheduling with Flow Prediction Based on Time and Frequency 2D Classification for Hybrid Electrical/Optical Intra-Datacenter Networks. OFC Ao Yu, Hui Yang, Qiuyan Yao, Yajie Li, Huifeng Guo, Tao Peng, Haibin Li, Jie Zhang
2019	—	`conf`	Slice-Scaling Strategy Based on Representation Learning in Flex-Grid Optical Networks. OFC Jingwen Nan, Hui Yang, Ao Yu, Yajie Li, Huifeng Guo, Tao Peng, Jie Zhang
2018	J	`jnl`	An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation. CoRR Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang
2018	J	`jnl`	Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling. CoRR Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang
2018	J	`jnl`	DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction. CoRR Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, Zhenhua Dong
2018	A	`conf`	Field-aware probabilistic embedding neural network for CTR prediction. RecSys Weiwen Liu, Ruiming Tang, Jiajin Li, Jinkai Yu, Huifeng Guo, Xiuqiang He, Shengyu Zhang
2018	—	`conf`	Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. DASFAA (2) Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He
2018	J	`jnl`	Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. CoRR Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He
2018	J	`jnl`	Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data. CoRR Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He
2017	—	`conf`	A Graph-Based Push Service Platform. DASFAA (2) Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017	A*	`conf`	DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. IJCAI Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017	J	`jnl`	DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. CoRR Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017	—	`conf`	Holistic Neural Network for CTR Prediction. WWW (Companion Volume) Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He
2016	J	`jnl`	A Graph-based Push Service Platform. CoRR Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2016	J	`jnl`	BLM-Rank: A Bayesian Linear Method for Learning to Rank and Its GPU Implementation. IEICE Trans. Inf. Syst. Huifeng Guo, Dian-Hui Chu, Yunming Ye, Xutao Li, Xixian Fan
2014	J	`jnl`	DSKmeans: A new kmeans-type approach to discriminative subspace clustering. Knowl. Based Syst. Xiaohui Huang, Yunming Ye, Huifeng Guo, Yi Cai, Haijun Zhang, Yan Li