Shuai Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 44

Top Venues

University of New South Wales, Sydney, Australia (PHD)

Education History

University of New South Wales, Sydney, Australia

PHD

Publications

Yixin Chen, Shuai Zhang, Boran Han, Tong He, Bo Li
CaMML: Context-Aware Multimodal Learner for Large Models. ACL (1) (2024)
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Quan Z. Sheng
Gradient Boosted Neural Decision Forest. IEEE Trans. Serv. Comput. 16 (1) (2023)
Wenqi Jiang, Shigang Li, Yu Zhu, Johannes de Fine Licht, Zhenhao He, Runbin Shi, Cédric Renggli, Shuai Zhang, Theodoros Rekatsinas, Torsten Hoefler, Gustavo Alonso
Co-design Hardware and Algorithm for Vector Search. SC (2023)
Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Cheung Hui, Jie Fu
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters. CoRR (2021)
Shuai Zhang, Xi Rao, Yi Tay, Ce Zhang
Knowledge Router: Learning Disentangled Representations for Knowledge Graphs. NAACL-HLT (2021)
Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Cheung Hui, Jie Fu
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters. ICLR (2021)
Aston Zhang, Yi Tay, Yikang Shen, Alvin Chan, Shuai Zhang
Self-Instantiated Recurrent Units with Dynamic Soft Recursion. NeurIPS (2021)
Shuai Zhang, Yi Tay, Wenqi Jiang, Da-Cheng Juan, Ce Zhang
Switch Spaces: Learning Product Spaces with Sparse Gating. CoRR (2021)
Aston Zhang, Alvin Chan, Yi Tay, Jie Fu, Shuohang Wang, Shuai Zhang, Huajie Shao, Shuochao Yao, Roy Ka-Wei Lee
On Orthogonality Constraints for Transformers. ACL/IJCNLP (2) (2021)
Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou
Learning User Representations with Hypercuboids for Recommender Systems. WSDM (2021)
Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems. WSDM (2020)
Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou
Learning User Representations with Hypercuboids for Recommender Systems. CoRR (2020)
Shuai Zhang, Lina Yao, Bin Wu, Xiwei Xu, Xiang Zhang, Liming Zhu
Unraveling Metric Vector Spaces With Factorization for Recommendation. IEEE Trans. Ind. Informatics 16 (2) (2020)
Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Manqing Dong, Shuai Zhang
Rating prediction via generative convolutional neural networks based regression. Pattern Recognit. Lett. 132 (2020)
Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. ACL (1) (2019)
Shuai Zhang, Yi Tay, Lina Yao, Qi Liu
Quaternion Knowledge Graph Embedding. CoRR (2019)
Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Michael Sheng, Yunhao Liu
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity. IEEE Internet Things J. 6 (2) (2019)
Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. CoRR (2019)
Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay
Quaternion Collaborative Filtering for Recommendation. CoRR (2019)
Shuai Zhang, Lina Yao, Aixin Sun, Yi Tay
Deep Learning Based Recommender System: A Survey and New Perspectives. ACM Comput. Surv. 52 (1) (2019)
Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Shuai Zhang
Recommendations on the Internet of Things: Requirements, Challenges, and Directions. IEEE Internet Comput. 23 (3) (2019)
Yi Tay, Aston Zhang, Luu Anh Tuan, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. CoRR (2019)
Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay
Quaternion Collaborative Filtering for Recommendation. IJCAI (2019)
Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. IJCAI (2019)
Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh
Holographic Factorization Machines for Recommendation. AAAI (2019)
Shuai Zhang, Yi Tay, Lina Yao, Qi Liu
Quaternion Knowledge Graph Embeddings. NeurIPS (2019)
Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, Yunhao Liu
Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN. ICDM (2019)
Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun
Next Item Recommendation with Self-Attention. CoRR (2018)
Shuai Zhang, Lina Yao, Xiaodong Ning, Chaoran Huang, Xiwei Xu, Shiyan Ou
Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation. ICWS (2018)
Shuai Zhang, Lina Yao, Chaoran Huang, Xiwei Xu, Liming Zhu
Position and Distance: Recommendation beyond Matrix Factorization. CoRR (2018)
Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
NeuRec: On Nonlinear Transformation for Personalized Ranking. CoRR (2018)
Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong
Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. CoRR (2018)
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang
GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest. CoRR (2018)
Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Quan Z. Sheng, Yunhao Liu
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity. CoRR (2018)
Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong
Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. ICSOC (2018)
Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Xiang Zhang
Data-Augmented Regression with Generative Convolutional Network. WISE (2) (2018)
Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
NeuRec: On Nonlinear Transformation for Personalized Ranking. IJCAI (2018)
Tran Dang Quang Vinh, Yi Tay, Shuai Zhang, Gao Cong, Xiao-Li Li
Hyperbolic Recommender Systems. CoRR (2018)
Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang, Liming Zhu
Hybrid Collaborative Recommendation via Semi-AutoEncoder. CoRR (2017)
Shuai Zhang, Lina Yao, Aixin Sun
Deep Learning based Recommender System: A Survey and New Perspectives. CoRR (2017)
Shuai Zhang, Lina Yao, Xiwei Xu
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders. SIGIR (2017)
Shuai Zhang, Lina Yao
Dynamic Intention-Aware Recommendation System. CoRR (2017)
Shuai Zhang, Lina Yao, Xiwei Xu
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders. CoRR (2017)
Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang, Liming Zhu
Hybrid Collaborative Recommendation via Semi-AutoEncoder. ICONIP (1) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shuai Zhang