Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation.

[BibT_eX]

[DOI]

Yichao Wang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching.

[BibT_eX]

[DOI]

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Numerical Feature Representation with Hybrid <i>N</i>-ary Encoding.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

Content Filtering Enriched GNN Framework for News Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Dual Graph enhanced Embedding Neural Network for CTR Prediction.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

An Embedding Learning Framework for Numerical Features in CTR Prediction.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

BiPS: Hotness-aware Bi-tier Parameter Synchronization for Recommendation Models.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

State representation modeling for deep reinforcement learning based recommendation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Top-aware reinforcement learning based recommendation.

[BibT_eX]

[DOI]

Neurocomputing, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

A Practical Incremental Method to Train Deep CTR Models.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

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

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Neighbor Interaction Aware Graph Convolution Networks for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Multi-Branch Convolutional Network for Context-Aware Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

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

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Representation Learning-based Slice Resource Reconfiguring Scheme in Multimedia Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2020

2019

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

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2019

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

[BibT_eX]

[DOI]

IEEE Access, 2019

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

[BibT_eX]

[DOI]

IEEE Access, 2019

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

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Order-aware Embedding Neural Network for CTR Prediction.

[BibT_eX]

[DOI]

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

A Novel KNN Approach for Session-Based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

Multi-graph Convolution Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Field-aware probabilistic embedding neural network for CTR prediction.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

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

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2018

2017

Holistic Neural Network for CTR Prediction.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

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

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Graph-Based Push Service Platform.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2017

2016

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

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2016

2014

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2014

Huifeng Guo

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...