Shuai Zhang

According to our database, Shuai Zhang authored at least 68 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Does Multimodality Lead to Better Time Series Forecasting?

Xiyuan Zhang, Boran Han, Haoyang Fang, Abdul Fatir Ansari, Shuai Zhang, Danielle C. Maddix, Cuixiong Hu, Andrew Gordon Wilson, Michael W. Mahoney, Hao Wang, Yan Liu, Huzefa Rangwala, George Karypis, Bernie Wang

CoRR, June, 2025

CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision.

Dyah Adila, Shuai Zhang, Boran Han, Bonan Min, Yuyang Wang

CoRR, June, 2025

Visual Instruction Tuning with Chain of Region-of-Interest.

Yixin Chen, Shuai Zhang, Boran Han, Bernie Wang

CoRR, May, 2025

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms.

Chengkai Huang, Hongtao Huang, Tong Yu, Kaige Xie, Junda Wu, Shuai Zhang, Julian J. McAuley, Dietmar Jannach, Lina Yao

CoRR, April, 2025

Effectively Steer LLM To Follow Preference via Building Confident Directions.

Bingqing Song, Boran Han, Shuai Zhang, Hao Wang, Haoyang Fang, Bonan Min, Yuyang Wang, Mingyi Hong

CoRR, March, 2025

GENNEXT: The Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI.

Yashar Deldjoo, Scott Sanner, Enrico Palumbo, Hugues Bouchard, Shuai Zhang, Pablo Castells, Julian J. McAuley

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Toward Holistic Evaluation of Recommender Systems Powered by Generative Models.

Yashar Deldjoo, Nikhil Mehta, Maheswaran Sathiamoorthy, Shuai Zhang, Pablo Castells, Julian J. McAuley

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

PipeRAG: Fast Retrieval-Augmented Generation via Adaptive Pipeline Parallelism.

Wenqi Jiang, Shuai Zhang, Boran Han, Jie Wang, Bernie Wang, Tim Kraska

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach.

Dheeraj Baby, Boran Han, Shuai Zhang, Cuixiong Hu, Bernie Wang, Yu-Xiang Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design.

Wenqi Jiang, Shuai Zhang, Boran Han, Jie Wang, Bernie Wang, Tim Kraska

CoRR, 2024

Foundation Models for Recommender Systems: A Survey and New Perspectives.

Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang, Lina Yao, Julian J. McAuley

CoRR, 2024

Data Augmentation for Object Detection via Controllable Diffusion Models.

Haoyang Fang, Boran Han, Shuai Zhang, Su Zhou, Cuixiong Hu, Wenming Ye

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN).

Yashar Deldjoo, Julian J. McAuley, Scott Sanner, Pablo Castells, Shuai Zhang, Enrico Palumbo

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Unraveling the Gradient Descent Dynamics of Transformers.

Bingqing Song, Boran Han, Shuai Zhang, Jie Ding, Mingyi Hong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving.

Pei Chen, Shuai Zhang, Boran Han

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Transferring Knowledge From Large Foundation Models to Small Downstream Models.

Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Bernie Wang, Andrew Gordon Wilson

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Discovering Bias in Latent Space: An Unsupervised Debiasing Approach.

Dyah Adila, Shuai Zhang, Boran Han, Bernie Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bridging Remote Sensors with Multisensor Geospatial Foundation Models.

Boran Han, Shuai Zhang, Xingjian Shi, Markus Reichstein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CaMML: Context-Aware Multimodal Learner for Large Models.

Yixin Chen, Shuai Zhang, Boran Han, Tong He, Bo Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Gradient Boosted Neural Decision Forest.

Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Quan Z. Sheng

IEEE Trans. Serv. Comput., 2023

Lightweight In-Context Tuning for Multimodal Unified Models.

Yixin Chen, Shuai Zhang, Boran Han, Jiaya Jia

CoRR, 2023

MLOps Spanning Whole Machine Learning Life Cycle: A Survey.

Zhengxin Fang, Yi Yuan, Jingyu Zhang, Yue Liu, Yuechen Mu, Qinghua Lu, Xiwei Xu, Jeff Wang, Chen Wang, Shuai Zhang, Shiping Chen

CoRR, 2023

Co-design Hardware and Algorithm for Vector Search.

Wenqi Jiang, Shigang Li, Yu Zhu, Johannes de Fine Licht, Zhenhao He, Runbin Shi, Cédric Renggli, Shuai Zhang, Theodoros Rekatsinas, Torsten Hoefler, Gustavo Alonso

Proceedings of the International Conference for High Performance Computing, 2023

Data-Informed Geometric Space Selection.

Shuai Zhang, Wenqi Jiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Deep Learning for Recommender Systems.

Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun, Ce Zhang

Proceedings of the Recommender Systems Handbook, 2022

Modelling graph dynamics in fraud detection with "Attention".

Susie Xi Rao, Clémence Lanfranchi, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Mo Cheng, Yinan Shan, Yang Zhao, Ce Zhang

CoRR, 2022

Neural Methods for Logical Reasoning over Knowledge Graphs.

Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, Ce Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

xFraud: Explainable Fraud Transaction Detection.

Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Zhiyao Chen, Yinan Shan, Yang Zhao, Ce Zhang

Proc. VLDB Endow., 2021

Switch Spaces: Learning Product Spaces with Sparse Gating.

Shuai Zhang, Yi Tay, Wenqi Jiang, Da-Cheng Juan, Ce Zhang

CoRR, 2021

Learning User Representations with Hypercuboids for Recommender Systems.

Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou

Proceedings of the WSDM '21, 2021

Self-Instantiated Recurrent Units with Dynamic Soft Recursion.

Aston Zhang, Yi Tay, Yikang Shen, Alvin Chan, Shuai Zhang

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.

Shuai Zhang, Xi Rao, Yi Tay, Ce Zhang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

MicroRec: Efficient Recommendation Inference 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

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

DeGNN: Improving Graph Neural Networks with Graph Decomposition.

Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters.

Wenqi Jiang, Zhenhao He, Shuai Zhang, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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 Cheung Hui, Jie Fu

Proceedings of the 9th International Conference on Learning Representations, 2021

Ease.ML: A Lifecycle Management System for Machine Learning.

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

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

HFM++: An Enhanced Holographic Factorization Machine for Recommendation.

Zhengxin Fang, Mingcheng Qu, Shuai Zhang, Jingyu Zhang, Yi Yuan, Lina Yao, Shiping Chen

Proceedings of the Data Mining, 2021

On Orthogonality Constraints for Transformers.

Aston Zhang, Alvin Chan, Yi Tay, Jie Fu, Shuohang Wang, Shuai Zhang, Huajie Shao, Shuochao Yao, Roy Ka-Wei Lee

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.

Shuai Zhang, Lina Yao, Bin Wu, Xiwei Xu, Xiang Zhang, Liming Zhu

IEEE Trans. Ind. Informatics, 2020

Rating prediction via generative convolutional neural networks based regression.

Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Manqing Dong, Shuai Zhang

Pattern Recognit. Lett., 2020

Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks.

Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Mo Cheng, Yinan Shan, Yang Zhao, Ce Zhang

CoRR, 2020

xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs.

Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Zhiyao Chen, Yinan Shan, Yang Zhao, Ce Zhang

CoRR, 2020

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

CoRR, 2020

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems.

Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

2019

Personalized recommendation: neural architectures and beyond.

Shuai Zhang

PhD thesis, 2019

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, Michael Sheng, Yunhao Liu

IEEE Internet Things J., 2019

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

Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Shuai Zhang

IEEE Internet Comput., 2019

Deep Learning Based Recommender System: A Survey and New Perspectives.

Shuai Zhang, Lina Yao, Aixin Sun, Yi Tay

ACM Comput. Surv., 2019

Quaternion Knowledge Graph Embedding.

Shuai Zhang, Yi Tay, Lina Yao, Qi Liu

CoRR, 2019

Quaternion Knowledge Graph Embeddings.

Shuai Zhang, Yi Tay, Lina Yao, Qi Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Quaternion Collaborative Filtering for Recommendation.

Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DeepRec: An Open-source Toolkit for Deep Learning based Recommendation.

Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN.

Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, Yunhao Liu

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

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, Siu Cheung Hui

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Holographic Factorization Machines for Recommendation.

Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Hyperbolic Recommender Systems.

Tran Dang Quang Vinh, Yi Tay, Shuai Zhang, Gao Cong, Xiao-Li Li

CoRR, 2018

Next Item Recommendation with Self-Attention.

Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun

CoRR, 2018

GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest.

Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang

CoRR, 2018

Position and Distance: Recommendation beyond Matrix Factorization.

Shuai Zhang, Lina Yao, Chaoran Huang, Xiwei Xu, Liming Zhu

CoRR, 2018

Data-Augmented Regression with Generative Convolutional Network.

Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Xiang Zhang

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

NeuRec: On Nonlinear Transformation for Personalized Ranking.

Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation.

Shuai Zhang, Lina Yao, Xiaodong Ning, Chaoran Huang, Xiwei Xu, Shiyan Ou

Proceedings of the Web Services - ICWS 2018, 2018

Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships.

Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong

Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

2017

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

Shuai Zhang, Lina Yao, Aixin Sun

CoRR, 2017

Dynamic Intention-Aware Recommendation System.

Shuai Zhang, Lina Yao

CoRR, 2017

AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders.

Shuai Zhang, Lina Yao, Xiwei Xu

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Hybrid Collaborative Recommendation via Semi-AutoEncoder.

Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang, Liming Zhu

Proceedings of the Neural Information Processing - 24th International Conference, 2017