Selected Publications

(Google Scholar Profile) (Full List at DBLP)

Conference Papers

Knowledge Router: Learning Disentangled Representations for Knowledge Graphs
Shuai Zhang, Xi Rao, Yi Tay and Ce Zhang.
NAACL 2021. Annual Conference of the North American Chapter of the Association for Computational Linguistics.

MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions
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.
MLSys 2021. Fourth Conference on Machine Learning and Systems.

Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters
Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Hui, Jie Fu.
ICLR 2021. The International Conference on Learning Representations.
Outstanding Paper Award.

Learning User Representations with Hypercuboids for Recommender Systems
Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He and Wenwu Ou.
WSDM 2021 [core A*]. The 14th ACM International Conference on Web Search and Data Mining.

Ease.ML: A Lifecycle Management System for Machine Learning
Aguilar, David Dao, Shaoduo Gan, Nezihe Merve Gurel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Rao, Johannes Rausch, Cedric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang.
CIDR 2021 [core A]. The Conference on Innovative Data Systems Research.

Symmetric Metric Learning with Adaptive Margin for Recommendation
Mingming Li, Shuai Zhang, Fuqing Zhu, Liangjun Zang, Wanhui Qian, Jizhong Han, Songlin Hu.
AAAI 2020 [core A*]. The 34th AAAI Conference on Artificial Intelligence.

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems
Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li.
WSDM 2020 [core A*]. The 13th ACM International Conference on Web Search and Data Mining.
Best Paper Award Runner-up.

Quaternion Knowledge Graph Embeddings
Shuai Zhang*, Yi Tay*, Lina Yao, Qi Liu.
NeurIPS 2019 [core A*]. Thirty-third Conference on Neural Information Processing Systems.

DeepRec: An Open-source Toolkit for Deep Learning based Recommendation (Demo Track)
Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun.
IJCAI 2019 [core A*]. The 28th International Joint Conference on Artificial Intelligence.

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu and Siu Cheung Hui.
ACL 2019 [core A*]. The 57th Annual Meeting of the Association for Computational Linguistics .

Quaternion Collaborative Filtering for Recommendation
Shuai Zhang, Lina Yao, Lucas Vinh Tran , Aston Zhang , Yi Tay.
IJCAI 2019 [core A*]. The 28th International Joint Conference on Artificial Intelligence.

Holographic Factorization Machines for Recommendation
Shuai Zhang*, Yi Tay*, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Lucas Vinh Tran.
AAAI 2019 [core A*]. The 33rd AAAI Conference on Artificial Intelligence.

Adaptive Cognitive Activity Recognition with Reinforced Attentive CNN
Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, and Yunhao Liu.
ICDM 2019 [core A*]. The 19th IEEE International Conference on Data Mining.

NeuRec: On Nonlinear Transformation for Personalized Ranking
Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang. Guodong Long. Manqing Dong.
IJCAI 2018 [core A*]. The 27th International Joint Conference on Artificial Intelligence.

AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders
Shuai Zhang, Lina Yao, Xiwei Xu.
SIGIR 2017 [core A*]. The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval.

Book Chapters

Deep Neural Networks based Recommender Systems, 2020, to appear
Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun, Ce Zhang.
Book Title: the 3rd edition of the recommender systems handbook.
Book Authors: Francesco Ricci, Lior Rokach, Bracha Shapira, Paul B. Kantor.
Publisher: Springer.

Recommender Systems, 2019
Shuai Zhang, Aston Zhang, Yi Tay.
Book Title: Dive into Deep Learning.
Book Authors: Aston Zhang, Zack C. Lipton, Mu Li, Alex J. Smola.

Deep Neural Networks meet Recommender Systems, 2019
Shuai Zhang, Lina Yao, Aixin Sun, Guibing Guo, Xiwei Xu, Liming Zhu.
Book Title: Big Data Recommender Systems: Recent Trends and Advances.
Book Editors: Osman Khalid, Samee U. Khan, Albert Y. Zomaya .
Publisher: Institution of Engineering and Technology.

Journal Papers

Unraveling Metric Vector Spaces with Factorization for Recommendation
Shuai Zhang, Lina Yao, Bin Wu, Xiwei Xu, Xiang Zhang, Liming Zhu.
IEEE Transactions on Industrial Informatics. 2019.

Thing-of-Interest Recommendation in the Internet of Things: Requirements, Challenges and Directions
Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Shuai Zhang.
IEEE Internet Computing. 2019.

Deep Learning based Recommender System: A Survey and New Perspectives
Shuai Zhang, Lina Yao, Aixin Sun, Yi Tay.
ACM Computing surveys. 2019.

Prediction via Generative Convolutional Neural Networks based Regression
Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Manqing Dong, Shuai Zhang.
Pattern Recognition Letters. 2018.

Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity
Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Quan Z. Sheng, Yunhao Liu.
IEEE Internet of Things Journal. 2018.

Workshop Papers

Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks
Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Mo Cheng, Yinan Shan, Yang Zhao, Ce Zhang.
AAAI 2021 Workshop on Deep Learning on Graphs: Methods and Applications. DLG-AAAI’21.

Next Item Recommendation with Self-Attentive Metric Learning
Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun, Jake An.
AAAI 2019 Workshop on Recommender Systems and Natural Language Processing. RecNLP 2019.

Work in Progress

xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs
Co-author, under review.

DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition
Co-author, under review.


[* denotes equal contribution]