default search action
Shuai Zhang 0007
Person information
- affiliation: University of New South Wales, School of Computer Science and Engineering, Kensington, Australia
Other persons with the same name
- Shuai Zhang — disambiguation page
- Shuai Zhang 0001
— University of Ulster, UK
- Shuai Zhang 0002
- Shuai Zhang 0003
- Shuai Zhang 0004
- Shuai Zhang 0005
- Shuai Zhang 0006
- Shuai Zhang 0008
- Shuai Zhang 0009
- Shuai Zhang 0010
- Shuai Zhang 0011
- Shuai Zhang 0012 — University of Texas at Dallas, TX, USA
- Shuai Zhang 0013
- Shuai Zhang 0014
- Shuai Zhang 0015 — Rensselaer Polytechnic Institute, Department of Electrical, Computer, and Systems Engineering, Troy, NY, USA
- Shuai Zhang 0016
- Shuai Zhang 0017
- Shuai Zhang 0018
- Shuai Zhang 0019
- Shuai Zhang 0020
- Shuai Zhang 0021
- Shuai Zhang 0022
- Shuai Zhang 0023
- Shuai Zhang 0024
- Shuai Zhang 0025
- Shuai Zhang 0026
- Shuai Zhang 0027
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [c27]Yixin Chen, Shuai Zhang, Boran Han, Tong He, Bo Li:
CaMML: Context-Aware Multimodal Learner for Large Models. ACL (1) 2024: 4056-4071 - [c26]Yashar Deldjoo
The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN). RecSys 2024: 1250-1252 - [i27]Yixin Chen, Shuai Zhang, Boran Han, Tong He, Bo Li:
CaMML: Context-Aware Multimodal Learner for Large Models. CoRR abs/2401.03149 (2024) - [i26]Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang
Foundation Models for Recommender Systems: A Survey and New Perspectives. CoRR abs/2402.11143 (2024) - 2023
- [j7]Manqing Dong
Gradient Boosted Neural Decision Forest. IEEE Trans. Serv. Comput. 16(1): 330-342 (2023) - [c25]Wenqi Jiang
Co-design Hardware and Algorithm for Vector Search. SC 2023: 87:1-87:15 - [i25]Zhengxin Fang, Yi Yuan, Jingyu Zhang, Yue Liu, Yuechen Mu, Qinghua Lu, Xiwei Xu, Jeff Wang, Chen Wang, Shuai Zhang
MLOps Spanning Whole Machine Learning Life Cycle: A Survey. CoRR abs/2304.07296 (2023) - [i24]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. CoRR abs/2306.11182 (2023) - 2022
- [c24]Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, Ce Zhang:
Neural Methods for Logical Reasoning over Knowledge Graphs. ICLR 2022 - [r1]Shuai Zhang
Deep Learning for Recommender Systems. Recommender Systems Handbook 2022: 173-210 - [i23]Susie Xi Rao
Modelling graph dynamics in fraud detection with "Attention". CoRR abs/2204.10614 (2022) - [i22]Alfonso Amayuelas, Shuai Zhang
Neural Methods for Logical Reasoning Over Knowledge Graphs. CoRR abs/2209.14464 (2022) - 2021
- [j6]Susie Xi Rao
xFraud: Explainable Fraud Transaction Detection. Proc. VLDB Endow. 15(3): 427-436 (2021) - [c23]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: 375-382 - [c22]Zhengxin Fang, Mingcheng Qu, Shuai Zhang
HFM++: An Enhanced Holographic Factorization Machine for Recommendation. AusDM 2021: 72-85 - [c21]Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang:
Ease.ML: A Lifecycle Management System for Machine Learning. CIDR 2021 - [c20]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 - [c19]Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao
DeGNN: Improving Graph Neural Networks with Graph Decomposition. KDD 2021: 1223-1233 - [c18]Wenqi Jiang, Zhenhao He, Shuai Zhang
FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters. KDD 2021: 3097-3105 - [c17]Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso:
MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions. MLSys 2021 - [c16]Shuai Zhang, Xi Rao
Knowledge Router: Learning Disentangled Representations for Knowledge Graphs. NAACL-HLT 2021: 1-10 - [c15]Aston Zhang, Yi Tay, Yikang Shen, Alvin Chan, Shuai Zhang:
Self-Instantiated Recurrent Units with Dynamic Soft Recursion. NeurIPS 2021: 6503-6514 - [c14]Shuai Zhang
Learning User Representations with Hypercuboids for Recommender Systems. WSDM 2021: 716-724 - [i21]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 abs/2102.08597 (2021) - [i20]Shuai Zhang, Yi Tay, Wenqi Jiang, Da-Cheng Juan, Ce Zhang:
Switch Spaces: Learning Product Spaces with Sparse Gating. CoRR abs/2102.08688 (2021) - 2020
- [j5]Xiaodong Ning, Lina Yao, Xianzhi Wang
Rating prediction via generative convolutional neural networks based regression. Pattern Recognit. Lett. 132: 12-20 (2020) - [j4]Shuai Zhang
Unraveling Metric Vector Spaces With Factorization for Recommendation. IEEE Trans. Ind. Informatics 16(2): 732-742 (2020) - [c13]Lucas Vinh Tran, Yi Tay, Shuai Zhang
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems. WSDM 2020: 609-617 - [i19]Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso:
MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions. CoRR abs/2010.05894 (2020) - [i18]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 abs/2011.05742 (2020) - [i17]Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Zhiyao Chen, Yinan Shan, Yang Zhao, Ce Zhang:
xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs. CoRR abs/2011.12193 (2020) - [i16]Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Mo Cheng, Yinan Shan, Yang Zhao, Ce Zhang:
Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks. CoRR abs/2012.10831 (2020)
2010 – 2019
- 2019
- [b1]Shuai Zhang:
Personalized recommendation: neural architectures and beyond. University of New South Wales, Sydney, Australia, 2019 - [j3]Shuai Zhang
Deep Learning Based Recommender System: A Survey and New Perspectives. ACM Comput. Surv. 52(1): 5:1-5:38 (2019) - [j2]Lina Yao, Xianzhi Wang
Recommendations on the Internet of Things: Requirements, Challenges, and Directions. IEEE Internet Comput. 23(3): 46-54 (2019) - [j1]Xiang Zhang
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity. IEEE Internet Things J. 6(2): 2084-2092 (2019) - [c12]Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh:
Holographic Factorization Machines for Recommendation. AAAI 2019: 5143-5150 - [c11]Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. ACL (1) 2019: 1494-1503 - [c10]Xiang Zhang
Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN. ICDM 2019: 896-905 - [c9]Shuai Zhang
Quaternion Collaborative Filtering for Recommendation. IJCAI 2019: 4313-4319 - [c8]Shuai Zhang
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. IJCAI 2019: 6581-6583 - [c7]Shuai Zhang, Yi Tay, Lina Yao, Qi Liu:
Quaternion Knowledge Graph Embeddings. NeurIPS 2019: 2731-2741 - [i15]Shuai Zhang, Yi Tay, Lina Yao, Qi Liu:
Quaternion Knowledge Graph Embedding. CoRR abs/1904.10281 (2019) - [i14]Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun:
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. CoRR abs/1905.10536 (2019) - [i13]Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay:
Quaternion Collaborative Filtering for Recommendation. CoRR abs/1906.02594 (2019) - [i12]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 abs/1906.04393 (2019) - 2018
- [c6]Chaoran Huang, Lina Yao, Xianzhi Wang
Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. ICSOC 2018: 373-387 - [c5]Shuai Zhang
Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation. ICWS 2018: 246-260 - [c4]Shuai Zhang
NeuRec: On Nonlinear Transformation for Personalized Ranking. IJCAI 2018: 3669-3675 - [c3]Xiaodong Ning, Lina Yao, Xianzhi Wang
Data-Augmented Regression with Generative Convolutional Network. WISE (2) 2018: 301-311 - [i11]Shuai Zhang, Lina Yao, Chaoran Huang, Xiwei Xu, Liming Zhu:
Position and Distance: Recommendation beyond Matrix Factorization. CoRR abs/1802.04606 (2018) - [i10]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 abs/1805.00789 (2018) - [i9]Shuai Zhang
NeuRec: On Nonlinear Transformation for Personalized Ranking. CoRR abs/1805.03002 (2018) - [i8]Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang:
GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest. CoRR abs/1806.08079 (2018) - [i7]Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong:
Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. CoRR abs/1808.01092 (2018) - [i6]Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun:
Next Item Recommendation with Self-Attention. CoRR abs/1808.06414 (2018) - [i5]Tran Dang Quang Vinh, Yi Tay, Shuai Zhang, Gao Cong, Xiao-Li Li
Hyperbolic Recommender Systems. CoRR abs/1809.01703 (2018) - 2017
- [c2]Shuai Zhang
Hybrid Collaborative Recommendation via Semi-AutoEncoder. ICONIP (1) 2017: 185-193 - [c1]Shuai Zhang
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders. SIGIR 2017: 957-960 - [i4]Shuai Zhang, Lina Yao:
Dynamic Intention-Aware Recommendation System. CoRR abs/1703.03112 (2017) - [i3]Shuai Zhang, Lina Yao, Xiwei Xu:
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders. CoRR abs/1704.00551 (2017) - [i2]Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang, Liming Zhu:
Hybrid Collaborative Recommendation via Semi-AutoEncoder. CoRR abs/1706.04453 (2017) - [i1]Shuai Zhang, Lina Yao, Aixin Sun:
Deep Learning based Recommender System: A Survey and New Perspectives. CoRR abs/1707.07435 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-17 20:59 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: