Huifeng Guo

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 105

Top Venues

Publications

Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation. Knowl. Inf. Syst. 66 (1) (2024)
Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. CoRR (2024)
Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. CoRR (2024)
Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
A Comprehensive Survey on Automated Machine Learning for Recommendations. Trans. Recomm. Syst. 2 (2) (2024)
Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang
Embedding Compression in Recommender Systems: A Survey. ACM Comput. Surv. 56 (5) (2024)
Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. KDD (2024)
Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations. AAAI (2024)
Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang
LLM-enhanced Reranking in Recommender Systems. CoRR (2024)
Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang
Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation. WSDM (2024)
Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. CoRR (2024)
Zehui Mao, Huan Wang, Bin Jiang, Juan Xu, Huifeng Guo
Graph Convolutional Neural Network for Intelligent Fault Diagnosis of Machines via Knowledge Graph. IEEE Trans. Ind. Informatics 20 (5) (2024)
Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. CoRR (2024)
Bo Chen, Xinyi Dai, Huifeng Guo, Wei Guo, Weiwen Liu, Yong Liu, Jiarui Qin, Ruiming Tang, Yichao Wang, Chuhan Wu, Yaxiong Wu, Hao Zhang
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. CoRR (2024)
Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. WWW (2024)
Huan Wang, Huifeng Guo, Zehui Mao, Haibin Li, Qiang Qu, Yulei Yang
Bidirectional Mapping RTE for Fault Knowledge Graph Construction. SAFEPROCESS (2023)
Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong
Single-shot Feature Selection for Multi-task Recommendations. SIGIR (2023)
Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao
AutoML for Deep Recommender Systems: Fundamentals and Advances. WSDM (2023)
Hengyu Zhang, Chang Meng, Wei Guo, Huifeng Guo, Jieming Zhu, Guangpeng Zhao, Ruiming Tang, Xiu Li
Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction. CoRR (2023)
Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. CoRR (2023)
Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
Diffusion Augmentation for Sequential Recommendation. CIKM (2023)
Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang
PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. SIGIR (2023)
Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
Compressed Interaction Graph based Framework for Multi-behavior Recommendation. CoRR (2023)
Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
Diffusion Augmentation for Sequential Recommendation. CoRR (2023)
Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang
How Can Recommender Systems Benefit from Large Language Models: A Survey. CoRR (2023)
Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang
AutoTransfer: Instance Transfer for Cross-Domain Recommendations. SIGIR (2023)
Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation. CoRR (2023)
Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
Compressed Interaction Graph based Framework for Multi-behavior Recommendation. WWW (2023)
Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang
DFFM: Domain Facilitated Feature Modeling for CTR Prediction. CIKM (2023)
Chang Meng, Hengyu Zhang, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang, Xiu Li, Rui Zhang
Hierarchical Projection Enhanced Multi-behavior Recommendation. KDD (2023)
Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang
AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. WSDM (2023)
Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. AAAI (2023)
Yuhao Wang, Ha Tsz Lam, Yi Wong, Ziru Liu, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
Multi-Task Deep Recommender Systems: A Survey. CoRR (2023)
Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
HAMUR: Hyper Adapter for Multi-Domain Recommendation. CoRR (2023)
Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
HAMUR: Hyper Adapter for Multi-Domain Recommendation. CIKM (2023)
Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation. CoRR (2023)
Niannan Xue, Bin Liu, Huifeng Guo, Ruiming Tang, Fengwei Zhou, Stefanos Zafeiriou, Yuzhou Zhang, Jun Wang, Zhenguo Li
AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu, Ruiming Tang
Multi-Behavior Sequential Transformer Recommender. SIGIR (2022)
Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang
-ary Encoding. CIKM (2022)
Yankai Chen, Yifei Zhang, Huifeng Guo, Ruiming Tang, Irwin King
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching. AACL/IJCNLP (2) (2022)
Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. CIKM (2022)
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
IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System. CoRR (2022)
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
IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. CIKM (2022)
Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
Automated Machine Learning for Deep Recommender Systems: A Survey. CoRR (2022)
Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. ICDE (2022)
Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. CoRR (2022)
Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. KDD (2022)
Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. ICDE (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 Lye, 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
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) (2022)
Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CIKM (2022)
Zhicheng He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang
Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms. KDD (2022)
Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CoRR (2022)
Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation. ICDM (2022)
Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. CoRR (2022)
Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. CoRR (2022)
Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang
CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. KDD (2022)
Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. CoRR (2021)
Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. SIGIR (2021)
Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. CoRR (2021)
Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. CoRR (2021)
Qiming Zheng, Quan Chen, Kaihao Bai, Huifeng Guo, Yong Gao, Xiuqiang He, Minyi Guo
BiPS: Hotness-aware Bi-tier Parameter Synchronization for Recommendation Models. IPDPS (2021)
Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He
An Embedding Learning Framework for Numerical Features in CTR Prediction. KDD (2021)
Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction. CoRR (2021)
Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
Dual Graph enhanced Embedding Neural Network for CTR Prediction. KDD (2021)
Yong Gao, Huifeng Guo, Dandan Lin, Yingxue Zhang, Ruiming Tang, Xiuqiang He
Content Filtering Enriched GNN Framework for News Recommendation. CoRR (2021)
Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
Dual Graph enhanced Embedding Neural Network for CTR Prediction. CoRR (2021)
Feng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He
Dual-attentional Factorization-Machines based Neural Network for User Response Prediction. WWW (Companion Volume) (2020)
Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates
A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. KDD (2020)
Chao Li, Hui Yang, Bowen Bao, Huifeng Guo, Yong Jiang, Jie Zhang
Spearman Correlation Coefficient Abnormal Behavior Monitoring Technology Based on RNN in 5G Network for Smart City. IWCMC (2020)
Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He
State representation modeling for deep reinforcement learning based recommendation. Knowl. Based Syst. 205 (2020)
Wei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He
Multi-Branch Convolutional Network for Context-Aware Recommendation. SIGIR (2020)
Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates
Neighbor Interaction Aware Graph Convolution Networks for Recommendation. SIGIR (2020)
Hui Yang, Jingwen Nan, Qiuyan Yao, Bowen Bao, Yong Jiang, Huifeng Guo
Representation Learning-based Slice Resource Reconfiguring Scheme in Multimedia Networks. BMSB (2020)
Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
Multi-Graph Convolution Collaborative Filtering. CoRR (2020)
Huifeng Guo, Bo Chen, Ruiming Tang, Zhenguo Li, Xiuqiang He
AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. CoRR (2020)
Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li
AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction. SIGIR (2020)
Yichao Wang, Huifeng Guo, Ruiming Tang, Zhirong Liu, Xiuqiang He
A Practical Incremental Method to Train Deep CTR Models. CoRR (2020)
Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CIKM (2020)
Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CoRR (2020)
Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He
End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding. WSDM (2020)
Feng Liu, Ruiming Tang, Huifeng Guo, Xutao Li, Yunming Ye, Xiuqiang He
Top-aware reinforcement learning based recommendation. Neurocomputing 417 (2020)
Ao Yu, Hui Yang, Qiuyan Yao, Yajie Li, Huifeng Guo, Tao Peng, Haibin Li, Jie Zhang
Scheduling with Flow Prediction Based on Time and Frequency 2D Classification for Hybrid Electrical/Optical Intra-Datacenter Networks. OFC (2019)
Huifeng Guo, Jinkai Yu, Qing Liu, Ruiming Tang, Yuzhou Zhang
PAL: a position-bias aware learning framework for CTR prediction in live recommender systems. RecSys (2019)
Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He
Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. ACM Trans. Inf. Syst. 37 (1) (2019)
Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang
A Novel KNN Approach for Session-Based Recommendation. PAKDD (2) (2019)
Ao Yu, Hui Yang, Qiuyan Yao, Yajie Li, Huifeng Guo, Tao Peng, Haibin Li, Jie Zhang
Accurate Fault Location Using Deep Belief Network for Optical Fronthaul Networks in 5G and Beyond. IEEE Access 7 (2019)
Xudong Zhao, Hui Yang, Huifeng Guo, Tao Peng, Jie Zhang
Accurate Fault Location based on Deep Neural Evolution Network in Optical Networks for 5G and Beyond. OFC (2019)
Jingwen Nan, Hui Yang, Ao Yu, Yajie Li, Huifeng Guo, Tao Peng, Jie Zhang
Slice-Scaling Strategy Based on Representation Learning in Flex-Grid Optical Networks. OFC (2019)
Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction. CoRR (2019)
Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction. WWW (2019)
Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
Multi-graph Convolution Collaborative Filtering. ICDM (2019)
Ao Yu, Jie Zhang, Hui Yang, Ting Xu, Baoguo Yu, Qiuyan Yao, Yajie Li, Tao Peng, Huifeng Guo, Jun Li
Long-Term Traffic Scheduling Based on Stacked Bidirectional Recurrent Neural Networks in Inter-Datacenter Optical Networks. IEEE Access 7 (2019)
Wei Guo, Ruiming Tang, Huifeng Guo, Jianhua Han, Wen Yang, Yuzhou Zhang
Order-aware Embedding Neural Network for CTR Prediction. SIGIR (2019)
Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He
Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. CoRR (2018)
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, Zhenhua Dong
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction. CoRR (2018)
Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang
Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling. CoRR (2018)
Weiwen Liu, Ruiming Tang, Jiajin Li, Jinkai Yu, Huifeng Guo, Xiuqiang He, Shengyu Zhang
Field-aware probabilistic embedding neural network for CTR prediction. RecSys (2018)
Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data. CoRR (2018)
Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He
Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. DASFAA (2) (2018)
Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang
An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation. CoRR (2018)
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Huifeng Guo