Shuai Zhang

Orcid: 0000-0002-7866-4611

Affiliations:
  • University of New South Wales, School of Computer Science and Engineering, Kensington, Australia


According to our database1, Shuai Zhang authored at least 37 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2023
Gradient Boosted Neural Decision Forest.
IEEE Trans. Serv. Comput., 2023

MLOps Spanning Whole Machine Learning Life Cycle: A Survey.
CoRR, 2023

Co-design Hardware and Algorithm for Vector Search.
Proceedings of the International Conference for High Performance Computing, 2023

2022
Deep Learning for Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2022

2021
Switch Spaces: Learning Product Spaces with Sparse Gating.
CoRR, 2021

Learning User Representations with Hypercuboids for Recommender Systems.
Proceedings of the WSDM '21, 2021

Self-Instantiated Recurrent Units with Dynamic Soft Recursion.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Knowledge Router: Learning Disentangled Representations for Knowledge Graphs.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters.
Proceedings of the 9th International Conference on Learning Representations, 2021

HFM++: An Enhanced Holographic Factorization Machine for Recommendation.
Proceedings of the Data Mining, 2021

On Orthogonality Constraints for Transformers.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Unraveling Metric Vector Spaces With Factorization for Recommendation.
IEEE Trans. Ind. Informatics, 2020

Rating prediction via generative convolutional neural networks based regression.
Pattern Recognit. Lett., 2020

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

2019
Personalized recommendation: neural architectures and beyond.
PhD thesis, 2019

Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity.
IEEE Internet Things J., 2019

Recommendations on the Internet of Things: Requirements, Challenges, and Directions.
IEEE Internet Comput., 2019

Deep Learning Based Recommender System: A Survey and New Perspectives.
ACM Comput. Surv., 2019

Quaternion Knowledge Graph Embedding.
CoRR, 2019

Quaternion Knowledge Graph Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Quaternion Collaborative Filtering for Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DeepRec: An Open-source Toolkit for Deep Learning based Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Holographic Factorization Machines for Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Hyperbolic Recommender Systems.
CoRR, 2018

Next Item Recommendation with Self-Attention.
CoRR, 2018

GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest.
CoRR, 2018

Position and Distance: Recommendation beyond Matrix Factorization.
CoRR, 2018

Data-Augmented Regression with Generative Convolutional Network.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

NeuRec: On Nonlinear Transformation for Personalized Ranking.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation.
Proceedings of the Web Services - ICWS 2018, 2018

Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

2017
Deep Learning based Recommender System: A Survey and New Perspectives.
CoRR, 2017

Dynamic Intention-Aware Recommendation System.
CoRR, 2017

AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Hybrid Collaborative Recommendation via Semi-AutoEncoder.
Proceedings of the Neural Information Processing - 24th International Conference, 2017


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