Huifeng Guo

发表

Yunming Ye, Zhenguo Li, Huifeng Guo, 2017, DASFAA.

A Novel KNN Approach for Session-Based Recommendation

Feng Liu, Yunming Ye, Huifeng Guo, 2019, PAKDD.

Scheduling with Flow Prediction Based on Time and Frequency 2D Classification for Hybrid Electrical/Optical Intra-Datacenter Networks

Hui Yang, Jie Zhang, Tao Peng, 2019, 2019 Optical Fiber Communications Conference and Exhibition (OFC).

Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction

Bin Liu, Huifeng Guo, Ruiming Tang, 2019, WWW.

Neighbor Interaction Aware Graph Convolution Networks for Recommendation

Mark Coates, Huifeng Guo, Xiuqiang He, 2020, SIGIR.

Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification

Feng Liu, Yunming Ye, Xutao Li, 2018, DASFAA.

DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction pdf

Yunming Ye, Zhenguo Li, Huifeng Guo, 2018, ArXiv.

Dual-attentional Factorization-Machines based Neural Network for User Response Prediction

Yunming Ye, Wei Guo, Feng Liu, 2020, WWW.

AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction pdf

Bo Chen, Zhenguo Li, Huifeng Guo, 2020, ArXiv.

AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction

Bin Liu, Stefanos Zafeiriou, Jun Wang, 2022, IEEE Transactions on Knowledge and Data Engineering.

BLM-Rank: A Bayesian Linear Method for Learning to Rank and Its GPU Implementation

Yunming Ye, Xutao Li, Huifeng Guo, 2016, IEICE Trans. Inf. Syst..

Multi-graph Convolution Collaborative Filtering

Mark Coates, Chen Ma, Huifeng Guo, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

PAL: a position-bias aware learning framework for CTR prediction in live recommender systems

Huifeng Guo, Ruiming Tang, Qing Liu, 2019, RecSys.

State representation modeling for deep reinforcement learning based recommendation

Yunming Ye, Weinan Zhang, Xutao Li, 2020, Knowl. Based Syst..

AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction

Stefanos Zafeiriou, Zhenguo Li, Huifeng Guo, 2020, SIGIR.

Top-aware reinforcement learning based recommendation

Yunming Ye, Xutao Li, Huifeng Guo, 2020, Neurocomputing.

A Practical Incremental Method to Train Deep CTR Models pdf

Yichao Wang, Huifeng Guo, Ruiming Tang, 2020, ArXiv.

Accurate Fault Location based on Deep Neural Evolution Network in Optical Networks for 5G and Beyond

Hui Yang, Jie Zhang, Tao Peng, 2019, 2019 Optical Fiber Communications Conference and Exhibition (OFC).

An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation pdf

Feng Liu, Yunming Ye, Huifeng Guo, 2018, ArXiv.

Slice-Scaling Strategy Based on Representation Learning in Flex-Grid Optical Networks

Hui Yang, Jie Zhang, Tao Peng, 2019, 2019 Optical Fiber Communications Conference and Exhibition (OFC).

Order-aware Embedding Neural Network for CTR Prediction

Wei Guo, Wen Yang, Huifeng Guo, 2019, SIGIR.

Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data

Yong Yu, Weinan Zhang, Huifeng Guo, 2018, ACM Trans. Inf. Syst..

Field-aware probabilistic embedding neural network for CTR prediction

Shengyu Zhang, Huifeng Guo, Ruiming Tang, 2018, RecSys.

Accurate Fault Location Using Deep Belief Network for Optical Fronthaul Networks in 5G and Beyond

Jie Zhang, Hui Yang, Tao Peng, 2019, IEEE Access.

Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling pdf

Feng Liu, Yunming Ye, Xutao Li, 2018, ArXiv.

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Yunming Ye, Zhenguo Li, Huifeng Guo, 2017, IJCAI.

GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems

Wei Guo, Mark Coates, Huifeng Guo, 2020, CIKM.

DSKmeans: A new kmeans-type approach to discriminative subspace clustering

Yunming Ye, Xiaohui Huang, Yan Li, 2014, Knowl. Based Syst..

Hybrid E/O switching adaptive traffic scheduling strategy leveraging flow prediction in intra-data centre networks

Hui Yang, Jie Zhang, Tao Peng, 2019, European Conference on Optical Communication.

Spearman Correlation Coefficient Abnormal Behavior Monitoring Technology Based on RNN in 5G Network for Smart City

Hui Yang, Jie Zhang, Chao Li, 2020, 2020 International Wireless Communications and Mobile Computing (IWCMC).

Multi-Branch Convolutional Network for Context-Aware Recommendation

Can Zhang, Huifeng Guo, Xiuqiang He, 2020, SIGIR.

End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding

Yunming Ye, Feng Liu, Xutao Li, 2020, WSDM.

Traffic Optimization and Congestion Prevention Strategy Based on Hierarchical Temporal Memory of Data Center Optical Network

Hui Yang, Ting Xu, Yong Jiang, 2020, 2020 Opto-Electronics and Communications Conference (OECC).

Long-Term Traffic Scheduling Based on Stacked Bidirectional Recurrent Neural Networks in Inter-Datacenter Optical Networks

Jie Zhang, Baoguo Yu, Tao Peng, 2019, IEEE Access.

Holistic Neural Network for CTR Prediction

Yunming Ye, Huifeng Guo, Ruiming Tang, 2017, WWW.

A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks

Dengcheng Zhang, Mark Coates, Huifeng Guo, 2020, KDD.

An Embedding Learning Framework for Numerical Features in CTR Prediction

Zhenguo Li, Huifeng Guo, Ruiming Tang, 2020, KDD.

Dual Graph enhanced Embedding Neural Network for CTR Prediction

Zhirong Liu, Huifeng Guo, Ruiming Tang, 2021, KDD.

ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table

Huifeng Guo, Ruiming Tang, Xiuqiang He, 2021, SIGIR.