Huifeng Guo
Orcid: 0000-0002-7393-8994
According to our database1,
Huifeng Guo
authored at least 84 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Trans. Recomm. Syst., June, 2024
Graph Convolutional Neural Network for Intelligent Fault Diagnosis of Machines via Knowledge Graph.
IEEE Trans. Ind. Informatics, May, 2024
Knowl. Inf. Syst., January, 2024
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era.
CoRR, 2024
CoRR, 2024
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization.
Proceedings of the ACM on Web Conference 2024, 2024
Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
CoRR, 2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the CAA Symposium on Fault Detection, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
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.
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.
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.
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
Proceedings of the IEEE International Conference on Data Mining, 2022
Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
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.
CoRR, 2021
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
2020
Knowl. Based Syst., 2020
AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction.
CoRR, 2020
Dual-attentional Factorization-Machines based Neural Network for User Response Prediction.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020
End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
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.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
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.
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.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020
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.
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.
ACM Trans. Inf. Syst., 2019
Long-Term Traffic Scheduling Based on Stacked Bidirectional Recurrent Neural Networks in Inter-Datacenter Optical Networks.
IEEE Access, 2019
Accurate Fault Location Using Deep Belief Network for Optical Fronthaul Networks in 5G and Beyond.
IEEE Access, 2019
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction.
Proceedings of the World Wide Web Conference, 2019
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.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
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.
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.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019
Slice-Scaling Strategy Based on Representation Learning in Flex-Grid Optical Networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2018
Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling.
CoRR, 2018
CoRR, 2018
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.
Proceedings of the Database Systems for Advanced Applications, 2018
2017
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Database Systems for Advanced Applications, 2017
2016
IEICE Trans. Inf. Syst., 2016
2014
Knowl. Based Syst., 2014