Hybrid Collaborative Recommendation via Semi-AutoEncoder. - Shuai Zhang 007; Lina Yao 001; Xiwei Xu 001; Sen Wang 001; Liming Zhu 001 (ICONIP (1), 2017)

AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders. - Shuai Zhang 007; Lina Yao 001; Xiwei Xu 001 (SIGIR, 2017)

Dynamic Intention-Aware Recommendation System. - Shuai Zhang 007; Lina Yao 001 (CoRR, 2017)

Deep Learning based Recommender System: A Survey and New Perspectives. - Shuai Zhang 007; Lina Yao 001; Aixin Sun (CoRR, 2017)

Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. - Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Shuai Zhang 007; Manqing Dong (ICSOC, 2018)

Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation. - Shuai Zhang 007; Lina Yao 001; Xiaodong Ning; Chaoran Huang 001; Xiwei Xu 001; Shiyan Ou (ICWS, 2018)

NeuRec: On Nonlinear Transformation for Personalized Ranking. - Shuai Zhang 007; Lina Yao 001; Aixin Sun; Sen Wang 001; Guodong Long; Manqing Dong (IJCAI, 2018)

Data-Augmented Regression with Generative Convolutional Network. - Xiaodong Ning; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Shuai Zhang 007; Xiang Zhang 012 (WISE (2), 2018)

Position and Distance: Recommendation beyond Matrix Factorization. - Shuai Zhang 007; Lina Yao 001; Chaoran Huang 001; Xiwei Xu 001; Liming Zhu 001 (CoRR, 2018)

GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Shuai Zhang 007 (CoRR, 2018)

Next Item Recommendation with Self-Attention. - Shuai Zhang 007; Yi Tay; Lina Yao 001; Aixin Sun (CoRR, 2018)

Hyperbolic Recommender Systems. - Tran Dang Quang Vinh; Yi Tay; Shuai Zhang 007; Gao Cong; Xiao-Li Li 001 (CoRR, 2018)

Holographic Factorization Machines for Recommendation. - Yi Tay; Shuai Zhang 007; Anh Tuan Luu; Siu Cheung Hui; Lina Yao 001; Tran Dang Quang Vinh (AAAI, 2019)

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. - Yi Tay; Aston Zhang; Anh Tuan Luu; Jinfeng Rao; Shuai Zhang 007; Shuohang Wang; Jie Fu 001; Siu Cheung Hui (ACL (1), 2019)

Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN. - Xiang Zhang 012; Lina Yao 001; Xianzhi Wang 001; Wenjie Zhang 001; Shuai Zhang 007; Yunhao Liu 001 (ICDM, 2019)

DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. - Shuai Zhang 007; Yi Tay; Lina Yao 001; Bin Wu 019; Aixin Sun (IJCAI, 2019)

Quaternion Collaborative Filtering for Recommendation. - Shuai Zhang 007; Lina Yao 001; Lucas Vinh Tran; Aston Zhang; Yi Tay (IJCAI, 2019)

Quaternion Knowledge Graph Embeddings. - Shuai Zhang 007; Yi Tay; Lina Yao 001; Qi Liu 049 (NeurIPS, 2019)

Quaternion Knowledge Graph Embedding. - Shuai Zhang 007; Yi Tay; Lina Yao 001; Qi Liu 049 (CoRR, 2019)

Deep Learning Based Recommender System: A Survey and New Perspectives. - Shuai Zhang 007; Lina Yao 001; Aixin Sun; Yi Tay (ACM Comput. Surv., 2019)

Recommendations on the Internet of Things: Requirements, Challenges, and Directions. - Lina Yao 001; Xianzhi Wang 001; Quan Z. Sheng; Schahram Dustdar; Shuai Zhang 007 (IEEE Internet Comput., 2019)

Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity. - Xiang Zhang 012; Lina Yao 001; Shuai Zhang 007; Salil S. Kanhere; Michael Sheng 001; Yunhao Liu 001 (IEEE Internet Things J., 2019)

Personalized recommendation: neural architectures and beyond. - Shuai Zhang 007 (2019)

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems. - Lucas Vinh Tran; Yi Tay; Shuai Zhang 007; Gao Cong; Xiaoli Li 001 (WSDM, 2020)

MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions. - Wenqi Jiang 001; Zhenhao He; Shuai Zhang 007; Thomas B. Preußer; Kai Zeng 002; Liang Feng; Jiansong Zhang 001; Tongxuan Liu; Yong Li 020; Jingren Zhou 001; Ce Zhang 001; Gustavo Alonso (CoRR, 2020)

xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs. - Susie Xi Rao; Shuai Zhang 007; Zhichao Han 001; Zitao Zhang; Wei Min; Zhiyao Chen; Yinan Shan; Yang Zhao; Ce Zhang 001 (CoRR, 2020)

Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks. - Susie Xi Rao; Shuai Zhang 007; Zhichao Han 001; Zitao Zhang; Wei Min; Mo Cheng; Yinan Shan; Yang Zhao; Ce Zhang 001 (CoRR, 2020)

Rating prediction via generative convolutional neural networks based regression. - Xiaodong Ning; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Manqing Dong; Shuai Zhang 007 (Pattern Recognit. Lett., 2020)

Unraveling Metric Vector Spaces With Factorization for Recommendation. - Shuai Zhang 007; Lina Yao 001; Bin Wu 019; Xiwei Xu 001; Xiang Zhang 012; Liming Zhu 001 (IEEE Trans. Ind. Informatics, 2020)

On Orthogonality Constraints for Transformers. - Aston Zhang; Alvin Chan; Yi Tay; Jie Fu 001; Shuohang Wang; Shuai Zhang 007; Huajie Shao; Shuochao Yao; Roy Ka-Wei Lee (ACL/IJCNLP (2), 2021)

HFM++: An Enhanced Holographic Factorization Machine for Recommendation. - Zhengxin Fang; Mingcheng Qu; Shuai Zhang 007; Jingyu Zhang; Yi Yuan; Lina Yao 001; Shiping Chen 001 (AusDM, 2021)

Ease.ML: A Lifecycle Management System for Machine Learning. - Leonel Aguilar Melgar; David Dao; Shaoduo Gan; Nezihe Merve Gürel; Nora Hollenstein; Jiawei Jiang 001; Bojan Karlas; Thomas Lemmin; Tian Li 005; Yang Li 106; Susie Xi Rao; Johannes Rausch; et al. (CIDR, 2021)

Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters. - Aston Zhang; Yi Tay; Shuai Zhang 007; Alvin Chan; Anh Tuan Luu; Siu Cheung Hui; Jie Fu 001 (ICLR, 2021)

FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters. - Wenqi Jiang 001; Zhenhao He; Shuai Zhang 007; Kai Zeng 002; Liang Feng; Jiansong Zhang 001; Tongxuan Liu; Yong Li 020; Jingren Zhou 001; Ce Zhang 001; Gustavo Alonso (KDD, 2021)

DeGNN: Improving Graph Neural Networks with Graph Decomposition. - Xupeng Miao; Nezihe Merve Gürel; Wentao Zhang 001; Zhichao Han 001; Bo Li 026; Wei Min; Susie Xi Rao; Hansheng Ren; Yinan Shan; Yingxia Shao; Yujie Wang; Fan Wu 011; et al. (KDD, 2021)

MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions. - Wenqi Jiang 001; Zhenhao He; Shuai Zhang 007; Thomas B. Preußer; Kai Zeng 002; Liang Feng; Jiansong Zhang 001; Tongxuan Liu; Yong Li 020; Jingren Zhou 001; Ce Zhang 001; Gustavo Alonso (MLSys, 2021)

Knowledge Router: Learning Disentangled Representations for Knowledge Graphs. - Shuai Zhang 007; Xi Rao; Yi Tay; Ce Zhang 001 (NAACL-HLT, 2021)

Self-Instantiated Recurrent Units with Dynamic Soft Recursion. - Aston Zhang; Yi Tay; Yikang Shen; Alvin Chan; Shuai Zhang 007 (NeurIPS, 2021)

Learning User Representations with Hypercuboids for Recommender Systems. - Shuai Zhang 007; Huoyu Liu; Aston Zhang; Yue Hu; Ce Zhang 001; Yumeng Li; Tanchao Zhu; Shaojian He; Wenwu Ou (WSDM, 2021)

Switch Spaces: Learning Product Spaces with Sparse Gating. - Shuai Zhang 007; Yi Tay; Wenqi Jiang 001; Da-Cheng Juan; Ce Zhang 001 (CoRR, 2021)

xFraud: Explainable Fraud Transaction Detection. - Susie Xi Rao; Shuai Zhang 007; Zhichao Han 001; Zitao Zhang; Wei Min; Zhiyao Chen; Yinan Shan; Yang Zhao; Ce Zhang 001 (Proc. VLDB Endow., 2021)

Neural Methods for Logical Reasoning over Knowledge Graphs. - Alfonso Amayuelas; Shuai Zhang 007; Susie Xi Rao; Ce Zhang 001 (ICLR, 2022)

Modelling graph dynamics in fraud detection with "Attention". - Susie Xi Rao; Clémence Lanfranchi; Shuai Zhang 007; Zhichao Han 001; Zitao Zhang; Wei Min; Mo Cheng; Yinan Shan; Yang Zhao; Ce Zhang 001 (CoRR, 2022)

Deep Learning for Recommender Systems. - Shuai Zhang 007; Yi Tay; Lina Yao 001; Aixin Sun; Ce Zhang 001 (Recommender Systems Handbook, 2022)

Data-Informed Geometric Space Selection. - Shuai Zhang 007; Wenqi Jiang 001 (NeurIPS, 2023)

Co-design Hardware and Algorithm for Vector Search. - Wenqi Jiang 001; Shigang Li 002; Yu Zhu; Johannes de Fine Licht; Zhenhao He; Runbin Shi; Cédric Renggli; Shuai Zhang 007; Theodoros Rekatsinas; Torsten Hoefler; Gustavo Alonso (SC, 2023)

MLOps Spanning Whole Machine Learning Life Cycle: A Survey. - Zhengxin Fang; Yi Yuan; Jingyu Zhang; Yue Liu 010; Yuechen Mu; Qinghua Lu 001; Xiwei Xu 001; Jeff Wang; Chen Wang 008; Shuai Zhang 007; Shiping Chen 001 (CoRR, 2023)

Lightweight In-Context Tuning for Multimodal Unified Models. - Yixin Chen; Shuai Zhang 007; Boran Han; Jiaya Jia (CoRR, 2023)

Gradient Boosted Neural Decision Forest. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Shuai Zhang 007; Quan Z. Sheng (IEEE Trans. Serv. Comput., 2023)

CaMML: Context-Aware Multimodal Learner for Large Models. - Yixin Chen; Shuai Zhang 007; Boran Han; Tong He 001; Bo Li 026 (ACL (1), 2024)

Bridging Remote Sensors with Multisensor Geospatial Foundation Models. - Boran Han; Shuai Zhang 007; Xingjian Shi; Markus Reichstein (CVPR, 2024)

Discovering Bias in Latent Space: An Unsupervised Debiasing Approach. - Dyah Adila; Shuai Zhang 007; Boran Han; Bernie Wang 001 (ICML, 2024)

Transferring Knowledge From Large Foundation Models to Small Downstream Models. - Shikai Qiu; Boran Han; Danielle C. Maddix; Shuai Zhang 007; Bernie Wang 001; Andrew Gordon Wilson (ICML, 2024)

CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving. - Pei Chen; Shuai Zhang 007; Boran Han (NAACL-HLT (Findings), 2024)

Unraveling the Gradient Descent Dynamics of Transformers. - Bingqing Song; Boran Han; Shuai Zhang 007; Jie Ding 002; Mingyi Hong 001 (NeurIPS, 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 007; Enrico Palumbo (RecSys, 2024)

Data Augmentation for Object Detection via Controllable Diffusion Models. - Haoyang Fang; Boran Han; Shuai Zhang 007; Su Zhou; Cuixiong Hu; Wenming Ye (WACV, 2024)

Foundation Models for Recommender Systems: A Survey and New Perspectives. - Chengkai Huang; Tong Yu 001; Kaige Xie; Shuai Zhang 007; Lina Yao 001; Julian J. McAuley (CoRR, 2024)

PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design. - Wenqi Jiang 001; Shuai Zhang 007; Boran Han; Jie Wang 022; Bernie Wang 001; Tim Kraska (CoRR, 2024)

Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach. - Dheeraj Baby; Boran Han; Shuai Zhang 007; Cuixiong Hu; Bernie Wang 001; Yu-Xiang Wang (AISTATS, 2025)

PipeRAG: Fast Retrieval-Augmented Generation via Adaptive Pipeline Parallelism. - Wenqi Jiang 001; Shuai Zhang 007; Boran Han; Jie Wang 022; Bernie Wang 001; Tim Kraska (KDD (1), 2025)

Toward Holistic Evaluation of Recommender Systems Powered by Generative Models. - Yashar Deldjoo; Nikhil Mehta 002; Maheswaran Sathiamoorthy; Shuai Zhang 007; Pablo Castells; Julian J. McAuley (SIGIR, 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 007; Pablo Castells; Julian J. McAuley (SIGIR, 2025)

Effectively Steer LLM To Follow Preference via Building Confident Directions. - Bingqing Song; Boran Han; Shuai Zhang 007; Hao Wang 014; Haoyang Fang; Bonan Min; Yuyang Wang 001; Mingyi Hong 001 (CoRR, 2025)

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms. - Chengkai Huang; Hongtao Huang; Tong Yu 001; Kaige Xie; Junda Wu; Shuai Zhang 007; Julian J. McAuley; Dietmar Jannach; Lina Yao 001 (CoRR, 2025)

Visual Instruction Tuning with Chain of Region-of-Interest. - Yixin Chen; Shuai Zhang 007; Boran Han; Bernie Wang 001 (CoRR, 2025)

CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision. - Dyah Adila; Shuai Zhang 007; Boran Han; Bonan Min; Yuyang Wang 001 (CoRR, 2025)

Does Multimodality Lead to Better Time Series Forecasting? - Xiyuan Zhang; Boran Han; Haoyang Fang; Abdul Fatir Ansari; Shuai Zhang 007; Danielle C. Maddix; Cuixiong Hu; Andrew Gordon Wilson; Michael W. Mahoney; Hao Wang 014; Yan Liu; Huzefa Rangwala; et al. (CoRR, 2025)